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class="newsletterArticle-module-scss-module__uxaxfG__newsletterArticle__header-authorImage"><img alt="Corey McLaughlin" loading="lazy" width="64" height="64" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2022%2F01%2Fheadshot-Corey_McLauglin-500x500_61f06ec6bf297.png&amp;w=64&amp;q=75 1x, /_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2022%2F01%2Fheadshot-Corey_McLauglin-500x500_61f06ec6bf297.png&amp;w=128&amp;q=75 2x" src="/_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2022%2F01%2Fheadshot-Corey_McLauglin-500x500_61f06ec6bf297.png&amp;w=128&amp;q=75"/></div><span>Sat, Oct 31, 2026</span><span>|</span><span><a class="newsletterArticle-module-scss-module__uxaxfG__newsletterArticle__link" href="/our-team/corey-mclaughlin">Corey McLaughlin</a></span></div></div><a class="newsletterArticle-module-scss-module__uxaxfG__newsletterArticle__header-link" href="/dailywealth/alphabets-worst-day-ever-2"><h1>Alphabet's Worst Day Ever</h1></a><div class="article-module-scss-module__VVmCSq__singlePostArticleShare"></div></div><div class="newsletterArticle-module-scss-module__uxaxfG__newsletterArticle__content newsletterArticle-module-scss-module__uxaxfG__newsletterArticle__content--preview"><p style="text-align: center;"><em>The Weekend Edition is pulled from the daily </em>Stansberry Digest.</p>
<hr />
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />Alphabet had plenty to brag about...</p>
<p>Alphabet (GOOGL) reported third-quarter results on Wednesday night. CEO Sundar Pichai opened the call with good news...</p>
<p>The company is now at "a half a trillion-dollar annual run rate" in sales, he said.</p>
<p>Google Cloud revenue more than doubled from a year ago, to about $30.7 billion. Search queries are growing at their fastest pace in five years. Gemini AI surpassed 1 billion monthly users and "token" use is up 40% from the prior quarter.</p>
<p>And demand for the company's broad AI products is so strong, Google can't keep up with it &#8211; for better or worse.</p>
<p>Chief Financial Officer Anat Ashkenazi said that because of the "supply-constrained environment," Google started <a href="https://stansberryresearch.com/dailywealth/the-10-billion-proposal-reshaping-ai-infrastructure-2">renting computing capacity</a> from third parties at the end of the quarter &#8211; and will lean on that more over the next three months.</p>
<p>But Alphabet's AI-related spending plans aren't slowing down. Ashkenazi reiterated that Alphabet expects its capital expenditures ("capex") to "increase significantly" in 2027. Wall Street is penciling in more than $300 billion.</p>
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />So why did the stock fall nearly 13% after its report?...</p>
<p>For a second straight quarter, Alphabet spent more than it brought in.</p>
<p>This isn't an overnight story. Regular readers know the cash-rich "hyperscalers" have been turning into <a href="https://stansberryresearch.com/dailywealth/the-ai-race-is-becoming-a-cash-flow-war">capital-intensive businesses</a> by betting on AI and spending on infrastructure like data centers, chips, and energy.</p>
<p>Now it's showing up on balance sheets.</p>
<p>In the third quarter alone, Alphabet spent about $51 billion on capex. Its businesses brought in about $42 billion in cash. That left free cash flow at negative $9.1 billion... much worse than the roughly negative $2.7 billion analysts expected. And that followed negative $5.9 billion last quarter.</p>
<p>A few factors contributed to that result. But the biggest is probably how Alphabet is approaching the AI build-out.</p>
<p>Mainly, it has been stockpiling its own tensor-processing-unit ("TPU") chip systems before it sells them to customers like Anthropic, Oracle (ORCL), and reportedly OpenAI and Meta Platforms (META).</p>
<p>Ashkenazi spun that approach as "a different cycle of cash flow generation." In other words, cash goes out first and comes back later when customers (presumably) pay.</p>
<p>Maybe that all happens and works out great for everyone involved. Meanwhile, Alphabet is looking for more cash now to keep building...</p>
<p>That's why the company sold $28.7 billion in bonds and another $12.4 billion in new stock last quarter. It also stopped its share buybacks for the year. Yet, it has also agreed to pay more than $900 billion in future purchase commitments for computing capacity, equipment, energy, and more.</p>
<p>Put it together, and Alphabet shares saw their biggest one-day loss ever on Thursday, falling 12.7%. The stock is trading at its lowest level since March... and is about 30% off its all-time high in May.</p>
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />A Magnificent Seven peer fared much better with a similar (but importantly different) story...</p>
<p>Microsoft (MSFT) also reported its earnings on Wednesday. But its shares fell just 0.1% the following day.</p>
<p>The firm reported $45 billion of capex in its fiscal first quarter. That's less than the "over $50 billion" it had alluded to in July.</p>
<p>But here's the important part: <strong>It produced about $18.6 billion in free cash flow</strong>.</p>
<p>There are two big reasons why...</p>
<ol>
<li>Microsoft sells most of its new AI capacity to corporate customers under signed contracts <em>before it's built</em>. Its backlog of contracted commercial revenue hit $677 billion, up 73% from a year ago.</li>
</ol>
<ol start="2">
<li>Last quarter, Microsoft stretched the assumed life of its data centers from 15 years to 25 years. That shifted many future leases from "finance" leases, which count as capex, to "operating" leases, which don't.</li>
</ol>
<p>The spending didn't change, but the headline capex number got smaller. That accounting decision helps Microsoft say it expects to stay free-cash-flow positive for the full fiscal year.</p>
<p>Still, it <em>is</em> spending more than $50 billion this quarter &#8211; and not entirely out of its own pockets. Bloomberg reported this week that Microsoft is preparing its first U.S. bond sale since 2017 to raise at least $25 billion.</p>
<p>But even though Microsoft and Alphabet have similar spending stories, Alphabet is the one that got punished.</p>
<p>It's because of reported cash flow... or lack thereof.</p>
<h4 style="text-align: center;"><strong>Wall Street Wants More Than AI Ambitions</strong></h4>
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />This is becoming a more consistent theme for the market winners and losers...</p>
<p>Last week, when Meta reported negative free cash flow for the quarter, its shares fell 7%. Three months ago, when Microsoft, Alphabet, and Meta reported earnings, the market reached a similar "<a href="https://stansberryresearch.com/dailywealth/why-the-ai-stock-market-is-splitting-in-two">split decision</a>."</p>
<p>Given Alphabet's weight in the cap-weighted market indexes (nearly 9% in the Nasdaq Composite Index and around 5% in the benchmark S&amp;P 500 Index), the whole market felt the outcome of its post-earnings slide.</p>
<p>On Thursday, the Nasdaq was down 1.4%, and the S&amp;P 500 was about 0.3% lower &#8211; despite more than 400 of the index components seeing gains and the equal-weight S&amp;P 500 being up more than 1%.</p>
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />So what does it all mean?...</p>
<p>Well, despite the noise around Alphabet and Microsoft, AI spending isn't stopping. In fact, it's still exceeding expectations.</p>
<p>Microsoft will spend more than $50 billion on AI-related investments this quarter, and Alphabet says its spending will rise significantly next year.</p>
<p>What's changing is who gets rewarded for spending and how. A year or two ago, any company that announced a bigger AI budget got a pop in its stock.</p>
<p>Today, the market is demanding more answers, like "Can you afford it?" and "What's your payoff?"</p>
<p>Businesses that are funding AI build-outs with borrowed money and new shares will be more sensitive to market forces and risks &#8211; like interest rates or the prospects of other companies in AI's "circular" world.</p>
<p>But so long as these businesses are finding financing, it might not matter. Microsoft, for example, reportedly has already attracted $115 billion for the $25 billion bond sale we mentioned earlier.</p>
<p>Notably, on Thursday morning, the government reported that real gross domestic product ("GDP") rose at a 3.4% annual rate in the third quarter, up from 2.2% in the second quarter. Many forecasters had been looking for something closer to 3%.</p>
<p>A large amount of that growth came from AI-related investments, which contributed about 1.78 percentage points, or roughly half of all U.S. economic growth, last quarter.</p>
<p class="bulletted sr-no"><img class="bullet-img" src="https://editor.stansberryresearch.com/template-assets/common/bullet.png" alt="" />Whitney Tilson calls the AI sell-off a "hiccup"...</p>
<p>Our colleague Whitney Tilson has been warning that the AI boom has turned into a bubble that's starting to leak. But while some companies will get clobbered, others will survive and even thrive.</p>
<p>On Wednesday morning, Whitney sat down on camera with Silicon Valley insider Jeff Brown, the founder of our corporate affiliate Brownstone Research, for a new free presentation to discuss where they see the next leg of the AI opportunity.</p>
<p>Their focus was on what they call an AI "super chip" &#8211; a new design that is 50 times faster than Nvidia's (NVDA) chips... the tiny California company behind it... and five little-known stocks they've dubbed the "Fabulous Five." Together, they believe these names could hand investors 10 times their money.</p>
<p>If you're eyeing chip stocks after their recent slide, <a href="https://secure.brownstoneresearch.com/?cid=MKT891448&amp;eid=MKT893538&amp;encryptedSnaid=%%ENCRYPTEDSNAID%%&amp;step=start&amp;emailjobid=%%jobid%%&amp;emailname=%%emailname_%%">these are the kinds of opportunities to consider</a>.</p>
<p>All the best,</p>
<p>Corey McLaughlin</p>
<hr />
<p class="headline"><strong>Editor's note</strong>: The last time Whitney and Jeff gave away a free pick together, it quadrupled in a little more than a year. Now, the two financial legends are back with two free investment ideas. With AI stocks becoming more volatile, they believe these opportunities could help investors position themselves for <a href="https://secure.brownstoneresearch.com/?cid=MKT891448&amp;eid=MKT893538&amp;encryptedSnaid=%%ENCRYPTEDSNAID%%&amp;step=start&amp;emailjobid=%%jobid%%&amp;emailname=%%emailname_%%">the market's next big move</a>.</p></p>
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</div></div></div></div><div class="contentLayout-module-scss-module__a72rLW__contentLayout__sidebar-item"><div class="sidebarAbout-module-scss-module__Pf551a__sidebarAbout"><div class="sidebarAbout-module-scss-module__Pf551a__title">About the <!-- -->Editor</div><div class="sidebarAbout-module-scss-module__Pf551a__block"><div class="sidebarAbout-module-scss-module__Pf551a__contributor"><img alt="Brett Eversole" loading="lazy" width="64" height="64" decoding="async" data-nimg="1" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2021%2F12%2Fheadshot-Brett_Eversole-500-square_61c104b0d9651.png&amp;w=64&amp;q=75 1x, /_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2021%2F12%2Fheadshot-Brett_Eversole-500-square_61c104b0d9651.png&amp;w=128&amp;q=75 2x" src="/_next/image?url=https%3A%2F%2Fassets.stansberryresearch.com%2Fuploads%2Fsites%2F2%2F2021%2F12%2Fheadshot-Brett_Eversole-500-square_61c104b0d9651.png&amp;w=128&amp;q=75"/><div class="sidebarAbout-module-scss-module__Pf551a__meta"><div class="sidebarAbout-module-scss-module__Pf551a__name">Brett Eversole</div><div>Editor</div></div></div><div class="sidebarAbout-module-scss-module__Pf551a__content sidebarAbout-module-scss-module__Pf551a__preview"><p>Brett Eversole is the Editor of and Lead Analyst for <em>True Wealth</em>, <em>True Wealth Systems</em>, <em>and DailyWealth</em>. Brett is also a member of the Stansberry Portfolio Solutions Investment Committee. Brett boasts a strong background in applied mathematics and statistics, and has a degree in actuarial science.</p>
<p>He has put his analytical expertise to work in the markets for more than a decade. And, notably, Brett helped develop True Wealth Systems – one of Stansberry Research&#x27;s most in-depth, data-driven products – alongside founding editor Dr. Steve Sjuggerud. This service uses powerful computer software, similar to the kind found at hedge funds and Wall Street banks, to pinpoint the sectors most likely to return 100% or more.</p>
<p>Brett takes a top-down investment approach. His first goal is spotting big macro trends in the market. These are the kinds of inescapable tailwinds with major profit potential for investors. From there, Brett looks for opportunities that are cheap and unloved by the market. Last, he always waits for the momentum to be in his favor before investing. This means Brett consistently takes a contrarian approach to investing. Combine that with data-driven analysis, and it leads to fantastic long-term performance.</p>
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He is the lead editor and analyst for \u003cem\u003eTrue Wealth\u003c/em\u003e\u003cem\u003e, \u003c/em\u003e\u003ca href=\"/products/tws\"\u003e\u003cem\u003eTrue Wealth Systems\u003c/em\u003e\u003c/a\u003e\u003cem\u003e,\u003c/em\u003e and \u003ca href=\"https://dailywealth.com/\" target=\"_blank\" rel=\"noopener\"\u003e\u003cem\u003eDailyWealth\u003c/em\u003e\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eBrett boasts a strong background in applied mathematics and statistics, with a degree in Actuarial Science. As an undergraduate, he passed the first three exams for entrance into the Society of Actuaries before focusing on finance at Stansberry Research.\u003c/p\u003e\n\u003cp\u003eHe has put his analytical expertise to work in the markets for the past decade-plus. And, notably, he helped develop \u003cem\u003eTrue Wealth Systems\u003c/em\u003e – one of Stansberry Research's most in-depth, data-driven products – alongside founding editor Steve Sjuggerud.\u003c/p\u003e\n\u003cp\u003eBrett takes a top-down investment approach. His first goal is spotting big macro trends in the market. These are the kinds of inescapable tailwinds you want as an investor. From there, he looks for opportunities based on valuation and overall market sentiment. Lastly, he always waits for momentum to be in his favor before investing.\u003c/p\u003e\n\u003cp\u003eThis approach means Brett consistently takes a contrarian approach to investing. And combining that with data-driven analysis leads to fantastic long-term performance.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"21:[\"$\",\"div\",null,{\"children\":[\"$\",\"section\",null,{\"children\":[[\"$\",\"$L2b\",null,{\"product\":{\"aboutTheEditor\":\"$2c\",\"active\":1,\"additionalContent\":[],\"archiveBlocks\":[{\"archiveLink\":null,\"categories\":[\"newsletters_daily\",\"weekend-edition\"],\"flavor\":\"single-column\",\"publications\":[\"dailywealth\"],\"showVideo\":false,\"title\":\"Latest Updates\",\"viewMoreTitle\":\"Latest Updates\",\"levelWeight\":100}],\"categories\":[\"daily-report\",\"issues\",\"newsletters_daily\",\"newsletters_weekly\",\"updates\"],\"category\":\"N/A\",\"closedPositionsDisplay\":\"none\",\"code\":\"SDW\",\"description\":\"Our investment philosophy here at DailyWealth is this: Buy things of extraordinary value at a time when nobody else wants them. 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CEO Sundar Pichai opened the call with good news...\u003c/p\u003e\n\u003cp\u003eThe company is now at \"a half a trillion-dollar annual run rate\" in sales, he said.\u003c/p\u003e\n\u003cp\u003eGoogle Cloud revenue more than doubled from a year ago, to about $30.7 billion. Search queries are growing at their fastest pace in five years. Gemini AI surpassed 1 billion monthly users and \"token\" use is up 40% from the prior quarter.\u003c/p\u003e\n\u003cp\u003eAnd demand for the company's broad AI products is so strong, Google can't keep up with it \u0026#8211; for better or worse.\u003c/p\u003e\n\u003cp\u003eChief Financial Officer Anat Ashkenazi said that because of the \"supply-constrained environment,\" Google started \u003ca href=\"https://stansberryresearch.com/dailywealth/the-10-billion-proposal-reshaping-ai-infrastructure-2\"\u003erenting computing capacity\u003c/a\u003e from third parties at the end of the quarter \u0026#8211; and will lean on that more over the next three months.\u003c/p\u003e\n\u003cp\u003eBut Alphabet's AI-related spending plans aren't slowing down. Ashkenazi reiterated that Alphabet expects its capital expenditures (\"capex\") to \"increase significantly\" in 2027. Wall Street is penciling in more than $300 billion.\u003c/p\u003e\n\u003cp class=\"bulletted sr-no\"\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eSo why did the stock fall nearly 13% after its report?...\u003c/p\u003e\n\u003cp\u003eFor a second straight quarter, Alphabet spent more than it brought in.\u003c/p\u003e\n\u003cp\u003eThis isn't an overnight story. Regular readers know the cash-rich \"hyperscalers\" have been turning into \u003ca href=\"https://stansberryresearch.com/dailywealth/the-ai-race-is-becoming-a-cash-flow-war\"\u003ecapital-intensive businesses\u003c/a\u003e by betting on AI and spending on infrastructure like data centers, chips, and energy.\u003c/p\u003e\n\u003cp\u003eNow it's showing up on balance sheets.\u003c/p\u003e\n\u003cp\u003eIn the third quarter alone, Alphabet spent about $51 billion on capex. Its businesses brought in about $42 billion in cash. That left free cash flow at negative $9.1 billion... much worse than the roughly negative $2.7 billion analysts expected. And that followed negative $5.9 billion last quarter.\u003c/p\u003e\n\u003cp\u003eA few factors contributed to that result. But the biggest is probably how Alphabet is approaching the AI build-out.\u003c/p\u003e\n\u003cp\u003eMainly, it has been stockpiling its own tensor-processing-unit (\"TPU\") chip systems before it sells them to customers like Anthropic, Oracle (ORCL), and reportedly OpenAI and Meta Platforms (META).\u003c/p\u003e\n\u003cp\u003eAshkenazi spun that approach as \"a different cycle of cash flow generation.\" In other words, cash goes out first and comes back later when customers (presumably) pay.\u003c/p\u003e\n\u003cp\u003eMaybe that all happens and works out great for everyone involved. Meanwhile, Alphabet is looking for more cash now to keep building...\u003c/p\u003e\n\u003cp\u003eThat's why the company sold $28.7 billion in bonds and another $12.4 billion in new stock last quarter. It also stopped its share buybacks for the year. Yet, it has also agreed to pay more than $900 billion in future purchase commitments for computing capacity, equipment, energy, and more.\u003c/p\u003e\n\u003cp\u003ePut it together, and Alphabet shares saw their biggest one-day loss ever on Thursday, falling 12.7%. The stock is trading at its lowest level since March... and is about 30% off its all-time high in May.\u003c/p\u003e\n\u003cp class=\"bulletted sr-no\"\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eA Magnificent Seven peer fared much better with a similar (but importantly different) story...\u003c/p\u003e\n\u003cp\u003eMicrosoft (MSFT) also reported its earnings on Wednesday. But its shares fell just 0.1% the following day.\u003c/p\u003e\n\u003cp\u003eThe firm reported $45 billion of capex in its fiscal first quarter. That's less than the \"over $50 billion\" it had alluded to in July.\u003c/p\u003e\n\u003cp\u003eBut here's the important part: \u003cstrong\u003eIt produced about $18.6 billion in free cash flow\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eThere are two big reasons why...\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eMicrosoft sells most of its new AI capacity to corporate customers under signed contracts \u003cem\u003ebefore it's built\u003c/em\u003e. Its backlog of contracted commercial revenue hit $677 billion, up 73% from a year ago.\u003c/li\u003e\n\u003c/ol\u003e\n\u003col start=\"2\"\u003e\n\u003cli\u003eLast quarter, Microsoft stretched the assumed life of its data centers from 15 years to 25 years. That shifted many future leases from \"finance\" leases, which count as capex, to \"operating\" leases, which don't.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThe spending didn't change, but the headline capex number got smaller. That accounting decision helps Microsoft say it expects to stay free-cash-flow positive for the full fiscal year.\u003c/p\u003e\n\u003cp\u003eStill, it \u003cem\u003eis\u003c/em\u003e spending more than $50 billion this quarter \u0026#8211; and not entirely out of its own pockets. Bloomberg reported this week that Microsoft is preparing its first U.S. bond sale since 2017 to raise at least $25 billion.\u003c/p\u003e\n\u003cp\u003eBut even though Microsoft and Alphabet have similar spending stories, Alphabet is the one that got punished.\u003c/p\u003e\n\u003cp\u003eIt's because of reported cash flow... or lack thereof.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eWall Street Wants More Than AI Ambitions\u003c/strong\u003e\u003c/h4\u003e\n\u003cp class=\"bulletted sr-no\"\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eThis is becoming a more consistent theme for the market winners and losers...\u003c/p\u003e\n\u003cp\u003eLast week, when Meta reported negative free cash flow for the quarter, its shares fell 7%. Three months ago, when Microsoft, Alphabet, and Meta reported earnings, the market reached a similar \"\u003ca href=\"https://stansberryresearch.com/dailywealth/why-the-ai-stock-market-is-splitting-in-two\"\u003esplit decision\u003c/a\u003e.\"\u003c/p\u003e\n\u003cp\u003eGiven Alphabet's weight in the cap-weighted market indexes (nearly 9% in the Nasdaq Composite Index and around 5% in the benchmark S\u0026amp;P 500 Index), the whole market felt the outcome of its post-earnings slide.\u003c/p\u003e\n\u003cp\u003eOn Thursday, the Nasdaq was down 1.4%, and the S\u0026amp;P 500 was about 0.3% lower \u0026#8211; despite more than 400 of the index components seeing gains and the equal-weight S\u0026amp;P 500 being up more than 1%.\u003c/p\u003e\n\u003cp class=\"bulletted sr-no\"\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eSo what does it all mean?...\u003c/p\u003e\n\u003cp\u003eWell, despite the noise around Alphabet and Microsoft, AI spending isn't stopping. In fact, it's still exceeding expectations.\u003c/p\u003e\n\u003cp\u003eMicrosoft will spend more than $50 billion on AI-related investments this quarter, and Alphabet says its spending will rise significantly next year.\u003c/p\u003e\n\u003cp\u003eWhat's changing is who gets rewarded for spending and how. A year or two ago, any company that announced a bigger AI budget got a pop in its stock.\u003c/p\u003e\n\u003cp\u003eToday, the market is demanding more answers, like \"Can you afford it?\" and \"What's your payoff?\"\u003c/p\u003e\n\u003cp\u003eBusinesses that are funding AI build-outs with borrowed money and new shares will be more sensitive to market forces and risks \u0026#8211; like interest rates or the prospects of other companies in AI's \"circular\" world.\u003c/p\u003e\n\u003cp\u003eBut so long as these businesses are finding financing, it might not matter. Microsoft, for example, reportedly has already attracted $115 billion for the $25 billion bond sale we mentioned earlier.\u003c/p\u003e\n\u003cp\u003eNotably, on Thursday morning, the government reported that real gross domestic product (\"GDP\") rose at a 3.4% annual rate in the third quarter, up from 2.2% in the second quarter. Many forecasters had been looking for something closer to 3%.\u003c/p\u003e\n\u003cp\u003eA large amount of that growth came from AI-related investments, which contributed about 1.78 percentage points, or roughly half of all U.S. economic growth, last quarter.\u003c/p\u003e\n\u003cp class=\"bulletted sr-no\"\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eWhitney Tilson calls the AI sell-off a \"hiccup\"...\u003c/p\u003e\n\u003cp\u003eOur colleague Whitney Tilson has been warning that the AI boom has turned into a bubble that's starting to leak. But while some companies will get clobbered, others will survive and even thrive.\u003c/p\u003e\n\u003cp\u003eOn Wednesday morning, Whitney sat down on camera with Silicon Valley insider Jeff Brown, the founder of our corporate affiliate Brownstone Research, for a new free presentation to discuss where they see the next leg of the AI opportunity.\u003c/p\u003e\n\u003cp\u003eTheir focus was on what they call an AI \"super chip\" \u0026#8211; a new design that is 50 times faster than Nvidia's (NVDA) chips... the tiny California company behind it... and five little-known stocks they've dubbed the \"Fabulous Five.\" Together, they believe these names could hand investors 10 times their money.\u003c/p\u003e\n\u003cp\u003eIf you're eyeing chip stocks after their recent slide, \u003ca href=\"https://secure.brownstoneresearch.com/?cid=MKT891448\u0026amp;eid=MKT893538\u0026amp;encryptedSnaid=%%ENCRYPTEDSNAID%%\u0026amp;step=start\u0026amp;emailjobid=%%jobid%%\u0026amp;emailname=%%emailname_%%\"\u003ethese are the kinds of opportunities to consider\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eAll the best,\u003c/p\u003e\n\u003cp\u003eCorey McLaughlin\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: The last time Whitney and Jeff gave away a free pick together, it quadrupled in a little more than a year. Now, the two financial legends are back with two free investment ideas. With AI stocks becoming more volatile, they believe these opportunities could help investors position themselves for \u003ca href=\"https://secure.brownstoneresearch.com/?cid=MKT891448\u0026amp;eid=MKT893538\u0026amp;encryptedSnaid=%%ENCRYPTEDSNAID%%\u0026amp;step=start\u0026amp;emailjobid=%%jobid%%\u0026amp;emailname=%%emailname_%%\"\u003ethe market's next big move\u003c/a\u003e.\u003c/p\u003e\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"35:T4cd,"])</script><script>self.__next_f.push([1,"\u003cp\u003eCorey McLaughlin is the editor of the \u003cem\u003eStansberry Digest\u003c/em\u003e, a daily newsletter that takes hundreds of thousands of subscribers \"inside the room\" at Stansberry Research with the most important news, ideas, and opportunities we're following each day.\u003c/p\u003e\n\u003cp\u003eHe is also co-host of the weekly \u003cem\u003eStansberry Investor Hour\u003c/em\u003e podcast, a weekly show featuring in-depth interviews that connect listeners and viewers with some of the top minds in business and finance.\u003c/p\u003e\n\u003cp\u003ePrior to joining Stansberry Research in 2019, Corey worked as a newspaper reporter and writer and editor for publications in the financial-research industry and beyond for more than a decade.\u003c/p\u003e\n\u003cp\u003eHis work has appeared in various national and regional publications, including the award-winning \u003cem\u003eBaltimore\u003c/em\u003e magazine, for which he's a senior contributing writer, and he' has interviewed and written about everything from billionaires and professional athletes to local police, small-business owners, the COVID-19 pandemic, and the Federal Reserve.\u003c/p\u003e\n\u003cp\u003eHe graduated from Pennsylvania State University in 2008, double majoring in journalism and anthropology, and earned a master's degree in writing from Johns Hopkins University in 2021.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"36:T540,"])</script><script>self.__next_f.push([1,"\u003cp\u003eBrett Eversole joined Stansberry Research in 2010. He is the lead editor and analyst for \u003cem\u003eTrue Wealth\u003c/em\u003e\u003cem\u003e, \u003c/em\u003e\u003ca href=\"/products/tws\"\u003e\u003cem\u003eTrue Wealth Systems\u003c/em\u003e\u003c/a\u003e\u003cem\u003e,\u003c/em\u003e and \u003ca href=\"https://dailywealth.com/\" target=\"_blank\" rel=\"noopener\"\u003e\u003cem\u003eDailyWealth\u003c/em\u003e\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eBrett boasts a strong background in applied mathematics and statistics, with a degree in Actuarial Science. As an undergraduate, he passed the first three exams for entrance into the Society of Actuaries before focusing on finance at Stansberry Research.\u003c/p\u003e\n\u003cp\u003eHe has put his analytical expertise to work in the markets for the past decade-plus. And, notably, he helped develop \u003cem\u003eTrue Wealth Systems\u003c/em\u003e – one of Stansberry Research's most in-depth, data-driven products – alongside founding editor Steve Sjuggerud.\u003c/p\u003e\n\u003cp\u003eBrett takes a top-down investment approach. His first goal is spotting big macro trends in the market. These are the kinds of inescapable tailwinds you want as an investor. From there, he looks for opportunities based on valuation and overall market sentiment. Lastly, he always waits for momentum to be in his favor before investing.\u003c/p\u003e\n\u003cp\u003eThis approach means Brett consistently takes a contrarian approach to investing. And combining that with data-driven analysis leads to fantastic long-term performance.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"22:[\"$\",\"div\",null,{\"className\":\"$undefined\",\"children\":[[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__bgHero contentLayout-module-scss-module__a72rLW__theme_sky\"}],[\"$\",\"section\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__main\",\"children\":[[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__content\",\"children\":[[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__content-container\",\"children\":[\"$\",\"$L33\",null,{\"article\":{\"analysts\":[\"corey-mclaughlin\"],\"audioMp3\":null,\"content\":\"$34\",\"canonicalUrl\":null,\"contentText\":\"\",\"excerpt\":\"Despite the noise around Alphabet and Microsoft, AI spending isn't stopping. In fact, it's still exceeding expectations...\",\"featuredArticle\":false,\"createdAt\":1793446215000,\"modifiedAt\":1793386772000,\"title\":\"Alphabet's Worst Day Ever\",\"subtitle\":null,\"slug\":\"alphabets-worst-day-ever-2\",\"wordpressId\":577939,\"category\":\"newsletters_daily\",\"categories\":[\"newsletters_daily\",\"weekend-edition\"],\"pdfOnly\":false,\"pdfUrl\":null,\"publication\":{\"publicationCode\":\"sdw\",\"level\":100,\"slug\":\"100-sdw\"},\"sites\":[],\"symbols\":[],\"sub_types\":[\"newsletter\"],\"tickers\":[],\"teaser_content\":[\"The Weekend Edition is pulled from the daily Stansberry Digest.\",\"Alphabet had plenty to brag about...\"],\"tts_url\":\"\",\"read_time\":6,\"extraFeature\":false,\"overrideUrl\":null,\"sbt_pdf_url\":\"https://assets.stansberryresearch.com/generated/pdf/sdw/2026/10/31/577939-alphabets-worst-day-e-sdw-newsletters_daily.pdf\",\"metaData\":{\"title\":\"Alphabet's Worst Day Ever | Stansberry Research\",\"description\":\"Despite the noise around Alphabet and Microsoft, AI spending isn't stopping. 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Then, sell when people are willing to pay any price.\u003c/p\u003e\\n\u003cp\u003eYou see, we believe most investors take way too much risk. So our mission at \u003cem\u003eDailyWealth\u003c/em\u003e is to show you how to avoid risky investments – and perform better than the average investor. We believe that you can make a lot of money, safely, by doing the opposite of what is most popular.\u003c/p\u003e\\n\u003cp\u003eWe cover the day-to-day opportunities we see in the markets. We highlight the sectors that look most promising (and the traps that are most likely to get you into trouble). And we share strategies from a range of perspectives at our firm... so you can learn how our experts view the markets, with investment wisdom that you'll use over and over again.\u003c/p\u003e\\n\u003cp\u003eIn a nutshell, we're committed to sharing the ideas that will help you build a lifetime of wealth. Thank you for joining us.\u003c/p\u003e\\n\"},\"callOutBox\":{\"display\":false,\"flavor\":\"free-trial\",\"cta_theme\":\"blue\",\"heading\":\"\",\"cta_title\":\"\",\"cta_url\":\"\",\"number\":\"\",\"subtext\":\"\"}}},\"productThemes\":[],\"productTypes\":[{\"name\":\"Free\",\"slug\":\"free\"}],\"public\":false,\"publicPath\":\"/products/dailywealth\",\"showMarketOverview\":false,\"showRecommendations\":false,\"showSubscription\":true,\"signUp\":{\"enableSignUp\":true,\"emailTemplate\":\"https://marketingassets.marketwise.com/prod/common/SDW/ConfirmationEmail/1740495122658.html\",\"confirmationPage\":\"https://signup.stansberryresearch.com/?cid=MKT636766\u0026eid=MKT827449\u0026assetId=AST363796\",\"emailSubject\":\"Please Verify Your Email for Your Stansberry Research Account\",\"assetId\":\"AST363797\",\"campaignId\":\"MKT636766\",\"effortId\":\"MKT827617\",\"eLetterPubCode\":\"sdw\",\"disclaimer\":\"By entering your email, you will begin receiving the DailyWealth newsletter as well as occasional marketing messages. You can unsubscribe from each at any time. \u003ca href=\\\"https://stansberryresearch.com/legal/privacy-policy\\\" target=\\\"blank\\\"\u003eOur privacy policy.\u003c/a\u003e\"},\"slug\":\"dailywealth\",\"staticData\":{\"static_portfolio\":null,\"static_calculator_id\":null},\"tags\":[],\"team\":[{\"code\":\"brett-eversole\",\"name\":\"Brett Eversole\",\"role\":\"Editor\",\"lead\":true,\"featured\":true}],\"theme\":\"sky\",\"title\":\"DailyWealth\",\"tools\":[],\"type\":\"free\",\"volatility\":0,\"wordpressId\":2431},\"preview\":true}]}],\"$L37\"]}],\"$L38\"]}]]}]\n"])</script><script>self.__next_f.push([1,"39:I[73896,[\"/_next/static/chunks/1a020c566f81b63b.js\",\"/_next/static/chunks/a17d85416832fc6e.js\",\"/_next/static/chunks/c6c49b78ff7c4cad.js\",\"/_next/static/chunks/719a571b685876f2.js\",\"/_next/static/chunks/9b380884e34debbc.js\",\"/_next/static/chunks/10a0b8ec054566fc.js\",\"/_next/static/chunks/c2b3631829aba902.js\",\"/_next/static/chunks/154202566929c016.js\",\"/_next/static/chunks/18797a378e2d9473.js\",\"/_next/static/chunks/21c8769a5e01d897.js\",\"/_next/static/chunks/000a2d4e3268a8f3.js\"],\"default\"]\n3a:T2081,"])</script><script>self.__next_f.push([1,"\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: In the AI market, costs have been falling. Recently, so have stock prices... But according to Jason Bodner of our corporate affiliate Brownstone Research, the technology itself is still advancing. In today's issue, adapted from the daily e-letter \u003cem\u003eThe Bleeding Edge\u003c/em\u003e, Jason explains how this disconnect emerged... and why it's unlikely to last.\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003eI've never been a cryptocurrency guy, but I've watched markets long enough to recognize a familiar pattern...\u003c/p\u003e\n\u003cp\u003eWhenever cryptos collapse, headlines declare the experiment over. Investors lose fortunes, speculative projects disappear, and skeptics celebrate. They even have a name for these periods: \u003cem\u003ecrypto winters\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eThe crashes of 2018 and 2022 were brutal, with Bitcoin falling more than 75% each time. Yet after both collapses, Bitcoin recovered and set new all-time highs. Plenty of individual crypto projects failed along the way, but the broader market survived.\u003c/p\u003e\n\u003cp\u003eA similar disconnect is developing in AI. As I'll explain, the bears are once again mistaking falling prices for a lack of technological progress...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eThe AI-Earnings Reality Check\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eWall Street is nervous about AI.\u003c/p\u003e\n\u003cp\u003eThe world's largest technology companies are spending massive sums on \u003ca href=\"https://stansberryresearch.com/dailywealth/googles-nuclear-deal-reveals-the-scale-of-ais-power-problem\"\u003edata centers\u003c/a\u003e, processors, networks, and electricity. Investors understandably want to know when those investments will pay off.\u003c/p\u003e\n\u003cp\u003eCompanies can't spend hundreds of billions indefinitely without generating attractive returns.\u003c/p\u003e\n\u003cp\u003eBut AI-stock valuations aren't the same thing as AI demand. Right now, investors are confusing the two.\u003c/p\u003e\n\u003cp\u003eOne of the biggest developments is agentic AI. Most people experience AI by asking ChatGPT a question and waiting for an answer. For them, it's a better search engine. That's it.\u003c/p\u003e\n\u003cp\u003eAgentic AI changes that equation. These autonomous or semi-autonomous systems can execute complex tasks and manage other AI agents independently, with little human oversight.\u003c/p\u003e\n\u003cp\u003eFor instance, you could assign an AI agent to research an industry, analyze competitors, review financial statements, and prepare a presentation. It might deploy several specialized agents, each making dozens or hundreds of requests to models and databases.\u003c/p\u003e\n\u003cp\u003eSuddenly, your one request generates a massive amount of computing activity.\u003c/p\u003e\n\u003cp\u003eAnd that's where the economics get interesting.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eWhen Cheaper Prices Mean More Activity\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eSkeptics point out that the cost of using AI is falling fast. They're right. Models are becoming more efficient, competition is increasing, and the cost of processing AI activity, measured in tokens, has roughly halved in recent months.\u003c/p\u003e\n\u003cdiv class=\"content-image aligncenter\" style=\"width: 540px;\"\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/103026-DW_AI-Token-Prices-Are-Falling.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/103026-DW_AI-Token-Prices-Are-Falling.png\" alt=\"\" class=\"responsive wp-image-577862 size-full aligncenter\" width=\"540\" /\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp\u003eBut cheaper prices don't necessarily mean a smaller market.\u003c/p\u003e\n\u003cp\u003eThink about cloud computing. As computing costs fell, startups could launch without expensive servers, businesses could analyze larger datasets, and software companies could offer services that were previously uneconomical.\u003c/p\u003e\n\u003cp\u003eCheaper computing created \u003cem\u003emore demand\u003c/em\u003e for computing.\u003c/p\u003e\n\u003cp\u003eAI will likely follow a similar path.\u003c/p\u003e\n\u003cp\u003eSuppose an AI task becomes 80% cheaper and businesses can afford to automate processes that previously weren't worth the expense. Multiply that across millions of companies and billions of tasks... and demand skyrockets.\u003c/p\u003e\n\u003cp\u003eAnd unlike chatbots, AI agents can work continuously, coordinating with other agents without someone initiating every request.\u003c/p\u003e\n\u003cp\u003eSo even if the cost of each AI action falls dramatically, total AI spending would continue to rise.\u003c/p\u003e\n\u003cp\u003eNothing is guaranteed. AI companies still need profitable business models. But investors focused only on falling processing costs may be missing an explosion in consumption.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eDon't Confuse Price With Progress\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eWhen markets get volatile, I turn to the data. And recent AI earnings tell a different story from the stock prices.\u003c/p\u003e\n\u003cp\u003eTake Micron Technology (MU), a major supplier of AI memory, for example. Its latest quarterly revenue reached a record $54.2 billion, with operating cash flow approaching $44 billion. CEO Sanjay Mehrotra said that more than 75% of the company's 2027 production is already committed, with customer discussions extending into 2028 and long-term agreements reaching 2031.\u003c/p\u003e\n\u003cp\u003eThat's an extraordinary look at future demand.\u003c/p\u003e\n\u003cp\u003eCorning (GLW) just reported optical-communications revenue of $2.38 billion, up 44% year over year. Generative-AI sales more than doubled, and adjusted earnings of $0.91 per share beat Wall Street's $0.88 estimate.\u003c/p\u003e\n\u003cp\u003eThese results aren't about what AI might accomplish five years from now. They're being generated today.\u003c/p\u003e\n\u003cp\u003eAnd yet, both of these stocks are down over the past month:\u003c/p\u003e\n\u003cdiv class=\"content-image aligncenter\" style=\"width: 540px;\"\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/103026-DW_Micron-MU-vs.-Corning-GLW.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/103026-DW_Micron-MU-vs.-Corning-GLW.png\" alt=\"\" class=\"responsive wp-image-577861 size-full aligncenter\" width=\"540\" /\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp\u003eOf course, not every AI stock is cheap, and some companies will struggle to generate acceptable returns. But when the businesses supplying this revolution keep delivering growth, a broad sell-off doesn't convince me the investment thesis is broken.\u003c/p\u003e\n\u003cp\u003eStock prices reflect what investors will pay today. Earnings tell us what's happening inside the businesses.\u003c/p\u003e\n\u003cp\u003eMeanwhile, AI keeps getting cheaper, more capable, and more autonomous. AI agents could multiply computing demand far beyond today's chatbot usage, and the infrastructure supporting them still needs to be built.\u003c/p\u003e\n\u003cp\u003eI believe the \u003ca href=\"https://stansberryresearch.com/dailywealth/the-right-deal-could-be-more-valuable-than-an-entire-portfolio\"\u003eAI revolution\u003c/a\u003e is alive and well. The technology is advancing, demand is growing, and the companies building the infrastructure are delivering real revenues and profits.\u003c/p\u003e\n\u003cp\u003eIn a few months, investors may look back on this supposed \"AI winter\" as a missed opportunity. Because while stock prices have fallen, the businesses behind many of them are still growing.\u003c/p\u003e\n\u003cp\u003eAnd sooner or later, I believe the market will recognize that difference.\u003c/p\u003e\n\u003cp\u003eRegards,\u003c/p\u003e\n\u003cp\u003eJason Bodner\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: AI chatbots and agents keep getting better... thanks to incredible advances in hardware. Right now, Jeff Brown \u0026#8211; founder of our corporate affiliate Brownstone Research \u0026#8211; is sharing how a new AI \"super chip\" can handle \u003cem\u003e120 trillion\u003c/em\u003e variables. That's 600 times more than market leader Nvidia's chip. With this powerful new tech, the AI bull market has plenty of room to run... and \u003ca href=\"https://secure.brownstoneresearch.com/?cid=MKT891448\u0026amp;eid=MKT893204\"\u003efive little-known companies are poised to lead the rally\u003c/a\u003e. \u0026#160;\u0026#160;\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003cstrong\u003e\u0026#160;\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eAs AI agents get cheaper and companies start deploying more of them, all of those agents will need tools to complete their tasks. And that could \u003ca href=\"https://stansberryresearch.com/dailywealth/ai-is-changing-the-software-business-for-the-better\"\u003ecompletely change one sector's user base\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eIn late August, bitcoin recovered from a monthslong slump. It then wobbled in early September as bulls and bears fought for control, but \u003ca href=\"https://stansberryresearch.com/dailywealth/this-beaten-down-asset-has-triple-digit-upside\"\u003ea new \"crypto spring\" may now be upon us\u003c/a\u003e.\u0026#160;\u0026#160;\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"3b:T15a6,"])</script><script>self.__next_f.push([1,"\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: A stock can look like a bargain and still lose you money. Our colleague Whitney Tilson learned that lesson the hard way after years of searching Wall Street's bargain bin for undervalued companies. In this issue, last published in August 2024, Whitney realized that one of the most common investing strategies had a fundamental flaw \u0026#8211; and fixing it changed how he picks stocks...\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003eI had it backward my whole career...\u003c/p\u003e\n\u003cp\u003eFor most of my time on Wall Street, I was an old-school value investor. That meant I dug through the \"bargain bin\" looking for stocks that traded at low multiples of earnings, cash flow, or book value.\u003c/p\u003e\n\u003cp\u003eOf course, I cared about the quality and future growth prospects of the companies I invested in. But to me, that part was secondary.\u003c/p\u003e\n\u003cp\u003eThe problem was that the cheap stocks were usually cheap for a reason... The underlying businesses were lousy. So what seemed to be deals from the bargain bin turned out to be value traps. They just went down and down as the businesses declined.\u003c/p\u003e\n\u003cp\u003eBut years ago, I changed \u0026#8211; and improved \u0026#8211; my approach to investing and how I pick stocks...\u003c/p\u003e\n\u003ch4 align=\"center\" style=\"text-align: center;\"\u003e\u003cstrong\u003eThe Investing Trap Hiding in the Bargain Bin\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eYou see, falling for value traps is just one of the four mistakes that tend to plague classic value investors. The other three are:\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eFailing to buy high-quality businesses because their stocks don't appear cheap\u0026#160;\u003c/li\u003e\n\u003cli\u003eSelling great businesses too soon because their stock prices seem \"too high\"\u003c/li\u003e\n\u003cli\u003eFailing to understand and appreciate \u003ca href=\"https://stansberryresearch.com/dailywealth/use-the-information-gap-to-find-trends-before-wall-street\"\u003epowerful new technologies\u003c/a\u003e and trends\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eI'll confess \u0026#8211; despite all of my successes during my more than two decades in the markets, I've made every one of these errors.\u003c/p\u003e\n\u003cp\u003eI want to emphasize, however, that the lesson here is not to just do the opposite and buy the stocks of great growth companies without considering their valuation. Growth investors frequently make the following mistakes that are, in many ways, the inverse of the ones value investors make:\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eThey overestimate future growth, forgetting the powerful force of reversion to the mean. They miss the impact of changing technology, new competitors, size acting as an anchor to growth, etc. Trees don't grow to the sky.\u003c/li\u003e\n\u003cli\u003eThey pay too high a price for a stock, such that even if the business performs well, the stock doesn't.\u003c/li\u003e\n\u003cli\u003eThey \u003ca href=\"https://stansberryresearch.com/dailywealth/take-the-emotions-out-of-investing-3\"\u003efall in love with their stocks\u003c/a\u003e and fail to sell when they should.\u003c/li\u003e\n\u003cli\u003eThey get sucked into \"story stocks\" in the hottest, most overhyped sectors where expectations are way out of line with fundamentals.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThe truth is that both quality and price matter...\u003c/p\u003e\n\u003cp\u003eBut they're not equally weighted. I estimate that 75% of what determines a stock's performance over time is the quality of the company. Only 25% is the valuation at the time of purchase.\u003c/p\u003e\n\u003cp\u003eUnfortunately, for my entire career, I had this backward: \u003cstrong\u003eI looked among cheap stocks and tried to find good businesses... when I should have looked among good businesses to find reasonably priced stocks\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eThat's why I changed my approach...\u003c/p\u003e\n\u003cp\u003eToday, rather than being a classic value investor, I call myself a \"make money\" investor \u0026#8211; meaning that I try to combine the \u003ca href=\"https://stansberryresearch.com/dailywealth/three-keys-for-long-term-investment-success-3\"\u003ebest of value and growth investing\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eIt's the best way to capture the upside \u0026#8211; and avoid the common pitfalls \u0026#8211; of both investing styles.\u003c/p\u003e\n\u003cp\u003eSo stop digging in the bargain bin. Instead, look for high-quality companies and wait until you can buy their stocks at a reasonable price. If you are smart, courageous, and patient, you will crush the market.\u003c/p\u003e\n\u003cp\u003eRegards,\u003c/p\u003e\n\u003cp\u003eWhitney Tilson\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: Yesterday, Whitney went on camera with a legendary investor from Silicon Valley to unveil the next AI-boom transformation. It all centers on a small California company and its super chip that could be 50 times faster than what Nvidia currently offers. And if they're right, this tiny chip could spell the end of the Magnificent Seven... \u003ca href=\"https://secure.brownstoneresearch.com/?cid=MKT891448\u0026amp;eid=MKT892950\"\u003ebut the beginning of the Fabulous Five\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003ePicking great stocks is only half the battle. How you manage them can make the difference between decent returns and life-changing gains. After decades on Wall Street, Whitney has created four principles that can help individual investors \u003ca href=\"https://stansberryresearch.com/dailywealth/how-to-beat-wall-street-at-its-own-game\"\u003ebuild an edge over the pros\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eGold investors know that a metal's value isn't the same thing as its daily price. Bitcoin may deserve a similar perspective. Its dollar value fluctuates with market sentiment, but the technology itself has capabilities that don't disappear when prices fall. That distinction could reshape \u003ca href=\"https://stansberryresearch.com/dailywealth/bitcoin-isnt-just-about-price-its-about-long-term-value-3\"\u003ehow you approach crypto investing\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"3c:T6ef,"])</script><script>self.__next_f.push([1,"\u003cp\u003eWhitney is the Editor of \u003cem\u003eStansberry's Investment Advisory\u003c/em\u003e, Stansberry Research's flagship newsletter, \u003cem\u003eThe N.E.W. System\u003c/em\u003e, \u003cem\u003eCommodity Supercycles\u003c/em\u003e, \u003cem\u003eWhitney Tilson's Ultimate Upside\u003c/em\u003e, and \u003cem\u003eWhitney Tilson's Daily\u003c/em\u003e. He is also a member of the Stansberry Portfolio Solutions Investment Committee.\u003c/p\u003e\n\u003cp\u003eWhitney spent nearly 20 years on Wall Street. During that time, he founded and ran Kase Capital Management, which managed three value-oriented hedge funds and two mutual funds. Starting out of his bedroom with $1 million, Whitney grew assets under management to a peak of $200 million.\u003c/p\u003e\n\u003cp\u003eOnce dubbed \"The Prophet\" by CNBC, Whitney predicted the dot-com crash, the housing bust, the 2009 stock bottom, and more. An accomplished writer, Whitney has published four books, the most recent of which is \u003cem\u003eThe Art of Playing Defense: How to Get Ahead by Not Falling Behind\u003c/em\u003e (2021). And he contributed to \u003cem\u003ePoor Charlie's Almanack: The Essential Wit and Wisdom of Charles T. Munger\u003c/em\u003e (2005), the definitive book on Berkshire Hathaway's Vice Chairman Charlie Munger.\u003c/p\u003e\n\u003cp\u003eWhitney has appeared dozens of times on CNBC, Bloomberg TV, and Fox Business Network, and has been profiled by the \u003cem\u003eWall Street Journal\u003c/em\u003e and the \u003cem\u003eWashington Post\u003c/em\u003e. He has also written for \u003cem\u003eForbes\u003c/em\u003e, the \u003cem\u003eFinancial Times\u003c/em\u003e, \u003cem\u003eKiplinger's\u003c/em\u003e, the Motley Fool, and TheStreet.com.\u003c/p\u003e\n\u003cp\u003eWhitney graduated with honors from Harvard University, earning a bachelor's degree in government. Upon graduation, he helped Wendy Kopp launch the Teach for America program. He went on to earn his Master of Business Administration degree at Harvard in 1994. Whitney graduated in the top 5% of his class and was named a Baker Scholar.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"3d:T2168,"])</script><script>self.__next_f.push([1,"\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: AI models are getting more advanced... accessing more data and taking more actions on their own. But as Nick Rokke from our corporate affiliate Brownstone Research explains, that's both a positive and a negative for businesses. In today's issue, adapted from the daily e-letter \u003cem\u003eThe Bleeding Edge\u003c/em\u003e, Nick breaks down the threats sophisticated AI agents pose... and which kinds of companies stand to benefit.\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003eBank of America brought in 1,000 extra people to help fix software weaknesses exposed by AI.\u003c/p\u003e\n\u003cp\u003eThat admission caught my attention as I was combing through bank earnings calls two weeks ago. I was looking for clues about the strength of the consumer and the credit market.\u003c/p\u003e\n\u003cp\u003eInstead, I found another sign of the spending wave building beneath the AI boom.\u003c/p\u003e\n\u003cp\u003eCEO Brian Moynihan disclosed that those contractors had joined the roughly 3,000 people already working in that area. The contractors started in the second quarter. Half a year later, they are still on the job.\u003c/p\u003e\n\u003cp\u003eAnd Bank of America isn't alone.\u003c/p\u003e\n\u003cp\u003eEarlier this month, JPMorgan Chase CEO Jamie Dimon told Bloomberg TV that cybersecurity risks \"went up 10-fold\" after Anthropic launched Mythos, an advanced AI model.\u003c/p\u003e\n\u003cp\u003eIn short, two of America's largest banks are confronting the same challenge. Sophisticated AI is exposing weaknesses in the software businesses depend on. Repairing those weaknesses requires people, tools, and money.\u003c/p\u003e\n\u003cp\u003eBank of America has 4,000 people on payroll to handle this. But what are smaller companies supposed to do?\u003c/p\u003e\n\u003cp\u003eThat question points us toward another investment opportunity.\u003c/p\u003e\n\u003cp\u003eMost investors are focused on the chips and data centers needed to run AI. But businesses will also need protection as AI models become more capable and gain access to more of their operations.\u003c/p\u003e\n\u003cp\u003eTo understand why, we need to look at what these models can do...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Is Finding the Cracks\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eSoftware vulnerabilities can let someone access information \u0026#8211; or perform an action \u0026#8211; that they shouldn't be able to.\u003c/p\u003e\n\u003cp\u003eThese weaknesses can remain hidden for years. Businesses run software built by different teams, often using components supplied by outside companies. Even a well-protected organization can inherit a flaw from a vendor.\u003c/p\u003e\n\u003cp\u003eMore advanced AI gives security teams a better way to search for those problems. Models can examine code and help determine whether a weakness can be exploited.\u003c/p\u003e\n\u003cp\u003eBut discovering a problem creates another job.\u003c/p\u003e\n\u003cp\u003eSomeone must confirm the flaw, develop a repair, test it, and then install it without breaking the systems people depend on. In other words, AI creates more security work even as it automates parts of the process.\u003c/p\u003e\n\u003cp\u003eAnd businesses are about to give AI systems much more responsibility \u0026#8211; which creates another difficulty...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eYour Next Employee Needs Guardrails\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eIncreasingly, people and companies are using AI agents to handle tasks. These AI models can act without ongoing input from a human being.\u003c/p\u003e\n\u003cp\u003eThat can be convenient \u0026#8211; unless the agent takes unexpected measures. And the more power and access we give them, the higher the stakes rise.\u003c/p\u003e\n\u003cp\u003eSay a company wants to use a customer service agent to issue refunds, for example... or a coding agent to modify company software... or a finance agent to prepare payments.\u003c/p\u003e\n\u003cp\u003eGiving agents more permissions makes them more useful. It also increases the importance of setting effective boundaries.\u003c/p\u003e\n\u003cp\u003eConsider a hypothetical: An AI agent is allowed to issue refunds below $100. A customer requests $250, which should require a manager's approval.\u003c/p\u003e\n\u003cp\u003eBut the agent gets around that restriction by issuing three smaller refunds.\u003c/p\u003e\n\u003cp\u003eThere may be no broken code in this example. The weakness lies in the gap between what the company intended and what its systems allow.\u003c/p\u003e\n\u003cp\u003eBusinesses therefore face two sources of risk: outsiders using AI against them, and their own agents taking unintended actions. Both require protection.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eHow to Build a Cybersecurity Army\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eThis brings me back to the question in my opening.\u003c/p\u003e\n\u003cp\u003eWhat does a smaller business do when it needs a major software-repair effort?\u003c/p\u003e\n\u003cp\u003eIt buys outside help. That can include security software, outside monitoring, and specialists who investigate threats and deploy repairs. Larger companies buy these capabilities for their vast personnel, too. Their internal teams need tools to protect increasingly complex operations.\u003c/p\u003e\n\u003cp\u003eI see three main areas worth following for investors as AI agents spread.\u003c/p\u003e\n\u003cp\u003eFirst is protecting the underlying systems.\u003c/p\u003e\n\u003cp\u003ePalo Alto Networks (PANW), for instance, supplies security across networks, cloud environments, and other parts of a business. Its acquisition of CyberArk also expanded its identity-security capabilities.\u003c/p\u003e\n\u003cp\u003eSecond is controlling who, or what, gets access to those systems.\u003c/p\u003e\n\u003cp\u003eOkta (OKTA) offers tools to discover AI agents, manage their identities, and control access to business resources. It helps ensure that only authorized agents are inside \u0026#8211; and that those agents only receive enough access and permissions to do their jobs.\u003c/p\u003e\n\u003cp\u003eThird is securing activity as agents work.\u003c/p\u003e\n\u003cp\u003eZscaler (ZS) is extending its zero-trust approach to AI agents. In plain English, that means access credentials must be constantly checked rather than automatically trusted once an agent is inside the company's environment. Its offerings address how agents access data, call software tools, and interact with other agents.\u003c/p\u003e\n\u003cp\u003eThese capabilities overlap. A business may purchase several through one provider. But looking at the situation this way helps us understand what customers need and where the opportunity lies.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eData Protection Is Crucial to the AI Build-Out\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eBank of America hiring security contractors is the start of a longer-term trend. AI will continually find new ways to exploit software. It's too early to tell if networks and applications will ever be truly impenetrable.\u003c/p\u003e\n\u003cp\u003eSoftware keeps changing. Companies add suppliers, connect systems, and introduce new applications. Deploying AI agents adds another set of access decisions and security requirements.\u003c/p\u003e\n\u003cp\u003eThat creates demand for continuous protection. The strongest investment candidates will be the companies that turn that demand into larger contracts and recurring revenue.\u003c/p\u003e\n\u003cp\u003eBank of America has already shown us that more advanced AI can create a substantial repair bill. As companies give digital workers more responsibility, protecting their systems becomes part of the cost of putting AI to work.\u003c/p\u003e\n\u003cp\u003eThat makes cybersecurity critical for AI adoption and gives the companies supplying it another avenue for growth.\u003c/p\u003e\n\u003cp\u003eRegards,\u003c/p\u003e\n\u003cp\u003eNick Rokke\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: Until recently, AI could match only 1% of the human brain's capacity. But a new AI \"super chip\" supports 120 trillion neural connections \u0026#8211; more than the brain and 100 times more than competing chips. Put simply, it could be the breakthrough of the AI era \u0026#8211; and a game changer for investors...\u003c/p\u003e\n\u003cp class=\"headline\"\u003eToday, at 10 a.m. Eastern time, our own Whitney Tilson is going live in a free online event with Brownstone Research founder Jeff Brown to share all the details. \u003ca href=\"https://signup.stansberryresearch.com/?cid=MKT890363\u0026amp;eid=MKT892699\"\u003eMake sure you reserve your spot before the event begins\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eCybersecurity is a paramount issue for not only businesses but also nations. America's massive defense budget has historically gone mostly to a handful of giant contractors. But a new age of threats is \u003ca href=\"https://stansberryresearch.com/dailywealth/defenses-next-wave-is-for-the-little-guys\"\u003eopening the door to smaller companies\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eBank of America isn't the only corporate titan looking to bolster cybersecurity. Hackers breached Coca-Cola's defenses in July, forcing some operations to pause for days. The unusual part of the story is \u003ca href=\"https://stansberryresearch.com/dailywealth/coca-colas-cyberattack-just-exposed-ais-blind-spot\"\u003ewhere it started \u0026#8211; in a dairy business\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"3e:T12c1,"])</script><script>self.__next_f.push([1,"\u003cp\u003eA financial divide is growing in America.\u003c/p\u003e\n\u003cp\u003eThis isn't about \"haves\" versus \"have nots\"... or rich versus poor. Those separations are a byproduct, not the cause.\u003c/p\u003e\n\u003cp\u003eThe real divide is even more fundamental: It's between the people who own assets... and everyone else.\u003c/p\u003e\n\u003cp\u003eIf you're an asset owner, you've likely prospered in recent years. Real estate prices have held up. And stock prices have soared.\u003c/p\u003e\n\u003cp\u003eIf you don't own assets, you've had a much different experience. Prices for everything have done nothing but rise. Wages have stagnated. And you've probably had a harder time making ends meet.\u003c/p\u003e\n\u003cp\u003eThis divide helps explain why consumer confidence has crashed recently. But as we'll see, that negative outlook is a good sign for asset owners...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eWall Street Doesn't Follow the Crowd's Mood\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eA rising stock market can solve a lot of economic problems... \u003ca href=\"https://stansberryresearch.com/dailywealth/dont-make-my-friends-mistake-2\"\u003eif you own a share of it\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eUnfortunately, not all Americans fall into that group. For folks who don't own assets, life hasn't improved much at all this decade.\u003c/p\u003e\n\u003cp\u003eThat has led to a collapse in how folks feel about the current economy. We can see it in consumer confidence levels.\u003c/p\u003e\n\u003cp\u003eSpecifically, we're looking at data from The Conference Board, a nonprofit business research organization. Each month, it asks regular folks how they feel about the state of the economy. It then uses the results to build its Consumer Confidence Index.\u003c/p\u003e\n\u003cp\u003eThis index has been trending down for years. And it just hit a 12-year low. Take a look...\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102726-DW-conference-board-consumer-confidence-index.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102726-DW-conference-board-consumer-confidence-index.png\" alt=\"\" width=\"623\" height=\"397\" class=\"aligncenter size-full wp-image-577584\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eConsumer confidence rebounded after the worst of the pandemic. But \u003ca href=\"https://stansberryresearch.com/dailywealth/the-9-99-gas-pump\"\u003eas inflation set in\u003c/a\u003e, sentiment about the economy got worse and worse.\u003c/p\u003e\n\u003cp\u003eToday, with rising energy costs, high electricity prices, and \u003ca href=\"https://stansberryresearch.com/dailywealth/what-divided-government-really-means-for-stocks\"\u003epolitical uncertainty\u003c/a\u003e, folks are the most worried they've been since 2014.\u003c/p\u003e\n\u003cp\u003eThat's not a good sign for the state of the country. But if you're an asset-owning American, it's far from a bad omen for your stock portfolio.\u003c/p\u003e\n\u003cp\u003eTo see it, I looked at each instance in which consumer confidence dropped below 82 while the overall stock market was in an uptrend. That has happened just six times since the data begins in 1970. Here's what happened next...\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102126-TWS-table-1.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102126-TWS-table-1.png\" width=\"610\" height=\"167\" class=\"aligncenter size-full\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eIt's true that things look bad for a lot of Americans right now. But remember, The Conference Board's index captures everyone... including that large group that doesn't own stocks. It doesn't mean stock prices are about to fall...\u003c/p\u003e\n\u003cp\u003eSimilar setups have led to gains of 3.6% in three months, 5.9% in six months, and 8.4% over a year. Those aren't large levels of outperformance. But they're enough to tell us that low confidence isn't a sell signal.\u003c/p\u003e\n\u003cp\u003eInstead, this is more evidence of what we always say: You \u003cem\u003emust\u003c/em\u003e keep your feelings \u003ca href=\"https://stansberryresearch.com/dailywealth/reasons-to-worry-arent-reasons-to-act\"\u003eout of your investments\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eConsumer confidence is low. But the stock market doesn't follow consumer sentiment. And according to history, this kind of fear is no reason to expect the bull market to end.\u003c/p\u003e\n\u003cp\u003eGood investing,\u003c/p\u003e\n\u003cp\u003eBrett Eversole\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eAmericans are searching for saunas more than ever. But the trend may signal something bigger than a growing interest in wellness. It's an early sign of a shift in \u003ca href=\"https://stansberryresearch.com/dailywealth/how-saunas-signal-the-economy-to-come\"\u003ewhat consumers are willing to pay for\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eInflation is proving harder to shake than investors hoped. Business costs are climbing, Treasury yields are pushing higher, and energy prices are putting fresh pressure on consumers. But the same forces creating economic headaches are also \u003ca href=\"https://stansberryresearch.com/dailywealth/the-world-is-getting-more-expensive\"\u003eboosting the value of essential resources\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"3f:T506,"])</script><script>self.__next_f.push([1,"\u003cp\u003eBrett Eversole is the Editor of and Lead Analyst for \u003cem\u003eTrue Wealth\u003c/em\u003e, \u003cem\u003eTrue Wealth Systems\u003c/em\u003e, \u003cem\u003eand DailyWealth\u003c/em\u003e. Brett is also a member of the Stansberry Portfolio Solutions Investment Committee. Brett boasts a strong background in applied mathematics and statistics, and has a degree in actuarial science.\u003c/p\u003e\n\u003cp\u003eHe has put his analytical expertise to work in the markets for more than a decade. And, notably, Brett helped develop True Wealth Systems – one of Stansberry Research's most in-depth, data-driven products – alongside founding editor Dr. Steve Sjuggerud. This service uses powerful computer software, similar to the kind found at hedge funds and Wall Street banks, to pinpoint the sectors most likely to return 100% or more.\u003c/p\u003e\n\u003cp\u003eBrett takes a top-down investment approach. His first goal is spotting big macro trends in the market. These are the kinds of inescapable tailwinds with major profit potential for investors. From there, Brett looks for opportunities that are cheap and unloved by the market. Last, he always waits for the momentum to be in his favor before investing. This means Brett consistently takes a contrarian approach to investing. Combine that with data-driven analysis, and it leads to fantastic long-term performance.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"40:T14f6,"])</script><script>self.__next_f.push([1,"\u003cp\u003eDemocrats are on pace to win their first Texas Senate seat in 38 years...\u003c/p\u003e\n\u003cp\u003eTexans who have never voted before are going to the ballot box in droves. According to the \u003cem\u003eHouston Chronicle\u003c/em\u003e, blue counties in the state are turning up to vote in record numbers for this midterm election. For example, Dallas saw a nearly 30% jump from its previous record set in 2018.\u003c/p\u003e\n\u003cp\u003eA ton of new turnout is probably bad for the incumbents.\u003c/p\u003e\n\u003cp\u003eBetting markets are starting to favor the Democrats, too. At the time of writing, PredictIt, Kalshi, and Polymarket all put the odds of Democrats flipping the Senate at 68%.\u003c/p\u003e\n\u003cp\u003eObviously, no one has a crystal ball. Midterm elections around the country are still closely contested...\u003c/p\u003e\n\u003cp\u003eStill, folks are starting to predict that we'll see more division on Capitol Hill. It's possible that the next two years will be marked by gridlock... with a Democratic House and Senate resisting the president's agenda.\u003c/p\u003e\n\u003cp\u003eYou may have heard investors say that gridlock in Washington is good for the market. It's an old stock market clich\u0026#233;.\u003c/p\u003e\n\u003cp\u003eI decided to put this wisdom to the test...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eGridlock Isn't the Market Booster You May Think\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eAt first, it makes sense that a divided government might be good for markets...\u003c/p\u003e\n\u003cp\u003eA unified government has the power to legislate pro- or anti-business policies. Investors would rather hold on to the status quo than risk anti-business decisions. That's why folks say it's bearish when Washington is unified.\u003c/p\u003e\n\u003cp\u003eI wanted to know exactly how much the division \u003cem\u003eactually matters\u003c/em\u003e, though. So I measured stock returns during periods of unified and divided government going back to 1950.\u003c/p\u003e\n\u003cp\u003eThe story wasn't as simple as you'd expect. Here's what the data shows...\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102626-DW-table-1.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2026/10/102626-DW-table-1.png\" alt=\"\" width=\"563\" height=\"226\" class=\"aligncenter size-full wp-image-577472\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eSince 1950, the government has been divided about 60% of the time. But that setup has actually led to slightly weaker returns...\u003c/p\u003e\n\u003cp\u003eA divided government produced a 7.4% annualized return on average. But a unified government has been better for stocks... leading to an average annualized return of 9.6%.\u003c/p\u003e\n\u003cp\u003eThat means a unified government leads to outperformance of about 2 percentage points. And divided governments also underperform a buy-and-hold strategy by about 1 percentage point.\u003c/p\u003e\n\u003cp\u003eSo can stocks rise through a divided government? Absolutely. But the old saying that gridlock is good for the market is a bit overstated.\u003c/p\u003e\n\u003cp\u003eStill, history shows the market can rise through both \u003ca href=\"https://stansberryresearch.com/dailywealth/the-best-year-for-stocks-starts-in-two-weeks\"\u003eharmony and division in government\u003c/a\u003e. Both cases led to gains. So we shouldn't expect a regime shift in Congress to end \u003ca href=\"https://stansberryresearch.com/dailywealth/the-everything-rally-wont-end-anytime-soon\"\u003etoday's bull market\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eIn short, the midterm election shouldn't cause a big inflection point for stocks. Don't go changing your portfolio based on the ballot.\u003c/p\u003e\n\u003cp\u003eGood investing,\u003c/p\u003e\n\u003cp\u003eSean Michael Cummings\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eOil prices are surging. Interest rates are climbing. And this bull market is finally starting to show cracks. There are plenty of reasons to worry about stocks right now. But that doesn't mean you always have to \u003ca href=\"https://stansberryresearch.com/dailywealth/reasons-to-worry-arent-reasons-to-act\"\u003eact on those worries\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eWhen the government starts investing in an industry, Wall Street tends to follow. That flood of money can send stocks soaring... including weaker companies caught in the wave of enthusiasm. For investors, recognizing businesses with real value matters more than ever as \u003ca href=\"https://stansberryresearch.com/dailywealth/the-pentagon-just-became-a-hedge-fund\"\u003eWashington enters the resource sector\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eMarket Notes\u003c/strong\u003e\u003cstrong\u003e\u0026#160;\u003cbr /\u003e\u003c/strong\u003e\u003cstrong\u003eHIGHS AND LOWS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNEW HIGHS OF NOTE LAST WEEK\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAutomatic Data Processing (ADP)... payroll giant\u003cbr /\u003ePaycom Software (PAYC)... payroll and HR management\u003cbr /\u003eNasdaq (NDAQ)... stock exchanges\u003cbr /\u003eApple (AAPL)... Big Tech\u003cbr /\u003eRingCentral (RNG)... cloud software\u003cbr /\u003eQualys (QLYS)... cybersecurity\u003cbr /\u003eRoku (ROKU)... streaming and smart TVs\u003cbr /\u003eBJ's Wholesale Club (BJ)... membership-only stores\u003cbr /\u003eKeurig Dr Pepper (KDP)... soft drinks\u003cbr /\u003eConocoPhillips (COP)... oil and gas\u003cbr /\u003eChevron (CVX)... oil and gas\u003cbr /\u003eRepublic Services (RSG)... waste disposal\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNEW LOWS OF NOTE LAST WEEK\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAppLovin (APP)... advertising\u003cbr /\u003eDycom Industries (DY)... telecom contractor\u003cbr /\u003eChipotle Mexican Grill (CMG)... tacos and burritos\u003cbr /\u003eHowmet Aerospace (HWM)... jet-engine parts\u003cbr /\u003eAaon (AAON)... HVAC equipment\u003cbr /\u003eFabrinet (FN)... manufacturing\u003cbr /\u003eGraco (GGG)... manufacturing\u003cbr /\u003eCenturi (CTRI)... utility infrastructure\u003cbr /\u003eKratos Defense \u0026amp; Security Solutions (KTOS)... \"offense\" contractor\u003cbr /\u003eCurtiss-Wright (CW)... \"offense\" contractor\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"41:T25a0,"])</script><script>self.__next_f.push([1,"\u003cp align=\"center\"\u003e\u003cem\u003eThe Weekend Edition is pulled from the daily\u003c/em\u003e Stansberry Digest.\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eTrump Accounts have reached a new milestone...\u003c/p\u003e\n\u003cp\u003eLast year, President Donald Trump signed a bill establishing Trump Accounts \u0026#8211; investment accounts for American children born between January 1, 2025, and December 31, 2028. As part of the bill, the government deposits $1,000 into each account upon activation, and parents can contribute up to $5,000 per year.\u003c/p\u003e\n\u003cp\u003eThe accounts have been expanded to cover all children under 18, but those born between the dates above are the only ones eligible for government deposits.\u003c/p\u003e\n\u003cp\u003eSo far, folks are piling in...\u003c/p\u003e\n\u003cp\u003eAccording to the White House, there are around 70 million Trump Accounts. And in a post on X, Treasury Secretary Scott Bessent said that those accounts have now passed $8 billion in contributions.\u003c/p\u003e\n\u003cp\u003eSoon, these accounts could be expanded to cover anyone under 40, according to a report from \u003cem\u003eBusiness Insider\u003c/em\u003e. That would open the door to another 100 million potential Trump Accounts.\u003c/p\u003e\n\u003cp\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eThat's a lot of money set to flow into the stock market...\u003c/p\u003e\n\u003cp\u003eBack in a February \u003cem\u003eDigest\u003c/em\u003e essay, we wrote about the \"\u003ca href=\"https://members.stansberryresearch.com/articles/stansberry-digest/nvidias-73-growth-wasnt-enough\" target=\"_blank\" rel=\"noopener\"\u003erelentless bid\u003c/a\u003e\" from passive investing and 401(k) accounts.\u003c/p\u003e\n\u003cp\u003ePut simply, folks are blindly putting money into the market every two weeks. As \u003cem\u003eExtreme Value\u003c/em\u003e editor Dan Ferris explained in a \u003ca href=\"https://members.stansberryresearch.com/articles/stansberry-digest/ai-could-eat-the-world-with-a-bearnaise-sauce\" target=\"_blank\" rel=\"noopener\"\u003eJune 2025 \u003cem\u003eDigest\u003c/em\u003e\u003c/a\u003e...\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003eThis is also referred to as passive investing, where investors don't actively research the stocks they buy. Instead, they passively own index funds, without regard for their attractiveness based on fundamentals like valuation or quality. Investors simply buy the same stocks every paycheck without any research whatsoever.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eIn his February State of the Union address, Trump said that the government may look into matching 401(k) contributions up to $1,000 annually for workers whose employers don't contribute.\u003c/p\u003e\n\u003cp\u003eTrump Accounts are just another example of the relentless bid. They represent even more money flowing into passive indexes and the market.\u003c/p\u003e\n\u003cp\u003eThis isn't to say that we won't see pullbacks, corrections, and bear markets. But the rise in passive investing \u0026#8211; boosted by these partially government-funded accounts \u0026#8211; ensures that the stock market will always have a bid.\u003cstrong\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eSwitching gears, SpaceX's earnings gave worried AI investors a jolt of excitement...\u003c/p\u003e\n\u003cp\u003eAfter the market close on Tuesday, we got the second earnings report from mega-cap tech giant SpaceX (SPCX). Revenue surged 161% to $14.6 billion \u0026#8211; coming in well ahead of Wall Street estimates. And SpaceX reported profits for both net income and operating income for the first time as a public company.\u003c/p\u003e\n\u003cp\u003eThe major U.S. indexes jumped the day after the report. But, as with all companies tied to AI, SpaceX is also spending like crazy...\u003c/p\u003e\n\u003cp\u003eSpaceX's capital expenditures (\"capex\") more than tripled year over year to more than $19 billion. So far in 2026, SpaceX has spent $48 billion on capex \u0026#8211; up from $14 billion in the first nine months of 2025.\u003c/p\u003e\n\u003cp\u003eWith an operating cash flow of $13 billion in the first nine months of 2026, SpaceX has a free-cash-flow deficit of $35 billion.\u003c/p\u003e\n\u003cp\u003eSpaceX burned through $25 billion in the first six months of this year, meaning it had a free-cash-flow deficit of about $10 billion in the third quarter. (SpaceX doesn't break out its cash-flow statement into quarters, but we can estimate the number using its first-six-month cash-flow deficit.)\u003c/p\u003e\n\u003cp\u003eAt the end of the third quarter, SpaceX had about $53 billion in cash on its balance sheet. If the company maintains this year's average quarterly burn rate of $12 billion, it would run out of cash in the fourth quarter of next year... and then need to raise capital again.\u003c/p\u003e\n\u003cp\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eAnd then there was the earnings call...\u003c/p\u003e\n\u003cp\u003eCEO Elon Musk said that he believes there's \"a lot of merit\" to merging \u003ca href=\"https://stansberryresearch.com/dailywealth/this-earnings-report-came-with-an-18-billion-catch\"\u003eSpaceX\u003c/a\u003e with another one of his companies \u0026#8211; Tesla (TSLA).\u003c/p\u003e\n\u003cp\u003eShareholders of both companies would have to approve, but that may not be a problem... Musk controls 85% of SpaceX's voting shares and about 20% of Tesla's.\u003c/p\u003e\n\u003cp\u003eIt wouldn't be the first time Musk combined two of his companies. As Rob Spivey from our corporate affiliate Altimetry wrote in the \u003cem\u003eDigest\u003c/em\u003e in \u003ca href=\"https://members.stansberryresearch.com/articles/stansberry-digest/spacex-is-breaking-the-ipo-mold\" target=\"_blank\" rel=\"noopener\"\u003eJune\u003c/a\u003e...\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003eHe has used his massive voting power to his advantage in the past. For example, he caught the ire of Tesla shareholders after he \"bailed out\" another one of his companies, SolarCity, by acquiring it into Tesla for $2.6 billion.\u003c/p\u003e\n\u003cp\u003eHe just pulled a similar maneuver by selling xAI into SpaceX at a $250 billion valuation... and selling social media network X (formerly Twitter) to xAI before that.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eMusk was asked about the proposed merger after Tesla reported its own earnings on Wednesday. He declined to go into detail, saying that he felt like he was \"tap-dancing through a minefield.\"\u003c/p\u003e\n\u003cp\u003eMusk recently said that SpaceX could have an annual revenue run rate of between $500 billion and $1 trillion by the end of next year. The company would have to rapidly accelerate its growth rate to reach those figures.\u003c/p\u003e\n\u003cp\u003eIn a post on X, Substack contributor P Equity Research estimated that SpaceX would need to have at least one quarter with $125 billion in revenue next year to hit just the low end of Musk's goal. That would be nearly 9 times the record revenue the company just reported.\u003c/p\u003e\n\u003cp\u003eOnly time will tell if SpaceX can meet Musk's projections or if this is just another way for him to drum up excitement for his companies.\u003c/p\u003e\n\u003cp\u003e\u003cimg class=\"bullet-img\" src=\"https://editor.stansberryresearch.com/template-assets/common/bullet.png\" alt=\"\" /\u003eTesla is in Whitney's \"Stinky Seven\"...\u003c/p\u003e\n\u003cp\u003eIn his free daily e-letter \u003ca href=\"https://members.stansberryresearch.com/articles/whitney-tilsons-daily/my-updated-thoughts-on-the-magnificent-seven\" target=\"_blank\" rel=\"noopener\"\u003eon Monday\u003c/a\u003e, \u003cem\u003eStansberry's Investment Advisory\u003c/em\u003e editor Whitney Tilson updated readers on the \u003ca href=\"https://stansberryresearch.com/dailywealth/the-magnificent-seven-wont-lead-forever\"\u003eMagnificent Seven\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eWhile he is bullish on Alphabet (GOOGL), Amazon (AMZN), and Meta Platforms (META), he remains bearish on Tesla. As he wrote last October...\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003eWith its tax-credit expiration in the U.S. and competition from Chinese manufacturers, I expect Tesla's vehicle sales to collapse.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eThat's why Whitney added Tesla to his \"Stinky Six\" list of stocks to avoid (which he has since expanded to seven). And his view hasn't changed, as he wrote on Monday...\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003eWith the stock down to around $365, it's trading at 210 times this year's estimates and 168 times next year's (which I don't believe).\u003c/p\u003e\n\u003cp\u003eThese are absurd multiples for a company whose top line has stalled out and profits have tumbled by 70% in the past five years.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eIn short, Whitney's view \"remains the same as it has been \u0026#8211; stay away from the stock.\"\u003c/p\u003e\n\u003cp\u003eWhile Whitney has expressed caution over AI becoming a \"bubble\" \u0026#8211; mainly because of circular financing and the absurd valuations of startups like OpenAI \u0026#8211; that doesn't mean there isn't money to be made.\u003c/p\u003e\n\u003cp\u003eAnd the recent sell-off in AI-related stocks has given investors the perfect opportunity to buy in.\u003c/p\u003e\n\u003cp\u003eThat's why Whitney is sitting down with legendary tech analyst Jeff Brown from our corporate affiliate Brownstone Research to talk about what could be the biggest investment opportunity of 2027.\u003c/p\u003e\n\u003cp\u003eIt involves a new AI superchip that could change daily life as we know it. Jeff and Whitney say the firm behind it could generate 1,000% gains... And they're sharing all the details in a free online presentation on October 28. \u003ca href=\"https://signup.stansberryresearch.com/?cid=MKT890363\u0026amp;eid=MKT892120\"\u003eSign up to reserve your free spot right here\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eAll the best,\u003c/p\u003e\n\u003cp\u003eNick Koziol\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's \u003c/strong\u003e\u003cstrong\u003enote\u003c/strong\u003e: Jeff has served as an executive at multiple tech firms that are now powering the AI build-out. He says the goal for every chip is to make it powerful enough to replicate the human brain. On October 28 at 10 a.m. Eastern time, Jeff and Whitney are doing a deep dive into a new AI superchip that is blowing away the competition... \u003ca href=\"https://signup.stansberryresearch.com/?cid=MKT890363\u0026amp;eid=MKT892120\"\u003eand opening up a major opportunity for investors\u003c/a\u003e.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"42:T1c8b,"])</script><script>self.__next_f.push([1,"\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: AI leaders need all the power they can get. And as Nick Rokke from our corporate affiliate Brownstone Research explains, they're going to incredible lengths to secure that power. In today's issue, adapted from the daily e-letter \u003cem\u003eThe Bleeding Edge\u003c/em\u003e, Nick covers why AI has turned power generation into a long-term story... and how investors can stay one step ahead.\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003eSix years. Eleven nuclear reactors. Three states. More than $4.3 billion in investment.\u003c/p\u003e\n\u003cp\u003eThat's what it will take for Constellation Energy (CEG) to squeeze another 890 megawatts (\"MW\") of generating capacity out of its nuclear fleet.\u003c/p\u003e\n\u003cp\u003eGoogle's parent company Alphabet (GOOGL) is helping make it happen through a 20-year power-purchase agreement.\u003c/p\u003e\n\u003cp\u003eThese plants already have operating sites and connections to the grid. Google says upgrading them can deliver new capacity years sooner than building a reactor from scratch.\u003c/p\u003e\n\u003cp\u003eIt's one of the faster ways to add nuclear power. Yet, even with that head start, the work will stretch into the next decade.\u003c/p\u003e\n\u003cp\u003eThat tells us how much these hyperscalers need more power for their AI ambitions. Tech companies can design more powerful chips, develop better models, and commit trillions of dollars to data centers. But those facilities cannot run without electricity.\u003c/p\u003e\n\u003cp\u003eAs I'll explain today, Google's agreement reveals the scale of that challenge... and why supplying power is such an important part of the AI-investment story.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eA Not-So-Short Shortcut\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eThe deal, announced October 6, supports upgrades at 11 nuclear units in Illinois, Pennsylvania, and New Jersey.\u003c/p\u003e\n\u003cp\u003eThe industry calls these projects \"uprates.\" They improve equipment such as turbines, steam generators, and control systems so an existing plant can produce more electricity.\u003c/p\u003e\n\u003cp\u003eGoogle's role is to provide a long-term customer. Its commitment to buy power gives Constellation the revenue certainty needed to invest billions of dollars in the work. In return, Constellation gives Google the \u003ca href=\"https://stansberryresearch.com/dailywealth/the-manufacturing-boom-will-boost-one-critical-sector\"\u003edependable electricity\u003c/a\u003e that its growing business needs.\u003c/p\u003e\n\u003cp\u003eThe companies also signed a separate 15-year agreement covering 2,700 MW from existing generation. That brings the total agreement up to 3,590 MW, but only 890 MW of that is new capacity.\u003c/p\u003e\n\u003cp\u003eAs the AI industry grows, existing electricity will only take us so far. We need to produce more of it.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Facilities Need Power \u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eThis may lead some to ask, \"Why nuclear? Why not something that's faster to build?\"\u003c/p\u003e\n\u003cp\u003eThe truth is that we will need a range of solutions. Right now, \u003ca href=\"https://stansberryresearch.com/dailywealth/ai-is-running-into-a-power-problem\"\u003enatural gas\u003c/a\u003e is the power source of choice for data centers that need electricity immediately. But this is still a fossil fuel and has some carbon emissions. Plus, the lead time for large natural gas turbines is reaching five years.\u003c/p\u003e\n\u003cp\u003eSolar can supply power during the day, and paired with batteries, it can shift some of that output into later hours.\u003c/p\u003e\n\u003cp\u003eBut AI facilities need dependable power day and night. Meeting that need requires a mix of generation, storage, and grid equipment.\u003c/p\u003e\n\u003cp\u003eNuclear is valuable because it can provide large amounts of steady output with low operating emissions.\u003c/p\u003e\n\u003cp\u003eThat helps explain why Google is willing to make a commitment lasting two decades. But pouring more money into the problem won't make all that physical work happen overnight.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eThe Value of Scarce Electricity\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eThe economics of power agreements show just how lucrative \u0026#8211; and long-lasting \u0026#8211; the AI trend will be for nuclear energy providers.\u003c/p\u003e\n\u003cp\u003eDeals with hyperscalers typically come at a premium to the floor price energy companies would receive by selling their power to utilities instead.\u003c/p\u003e\n\u003cp\u003eFor example, Microsoft (MSFT) signed a 20-year deal with Constellation to revive the Three Mile Island nuclear plant. The terms of that agreement came in $40 to $60 above the going rate.\u003c/p\u003e\n\u003cp\u003eAnd Meta Platforms (META) also signed a 20-year agreement with Constellation to get power from the Clinton Clean Energy Center, at a $20 to $25 premium.\u003c/p\u003e\n\u003cp\u003eUsing round numbers, a $50 premium leads to $325 million in annual operating-cash-flow growth per 1,000 MW. So the Google deal has the potential to increase Constellation's free cash flow by more than $1 billion a year once it is in full effect.\u003c/p\u003e\n\u003cp\u003eSo, we know that hyperscalers are willing to pay a premium for guaranteed access to consistent power.\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eThe Build-Out Behind the AI Boom\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eThe opportunity extends to the businesses that supply and support these power projects.\u003c/p\u003e\n\u003cp\u003eGenerating more electricity requires turbines, plant upgrades, maintenance, and fuel. Delivering that additional power requires transformers, substations, switchgear, and transmission lines.\u003c/p\u003e\n\u003cp\u003eThis is why electricity infrastructure is a long-term investment theme. AI's growth creates physical needs that must be met before the technology can reach its full commercial potential.\u003c/p\u003e\n\u003cp\u003eThe Google agreement is a major step forward. Its cost and timeline also show how much more investment lies ahead.\u003c/p\u003e\n\u003cp\u003eGoogle paid more than $4.3 billion for less than one additional gigawatt. Now consider what it will cost to deliver the next \u003cem\u003eseveral dozen\u003c/em\u003e gigawatts.\u003c/p\u003e\n\u003cp\u003eWe'll be watching for companies benefiting from this insatiable demand for power. Investors who find the right companies will profit immensely in the coming years.\u003c/p\u003e\n\u003cp\u003eStay focused. Stay invested.\u003c/p\u003e\n\u003cp\u003eRegards,\u003c/p\u003e\n\u003cp\u003eNick Rokke\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: Power isn't the only bottleneck holding back the AI build-out. AI models also need computer chips advanced enough to handle the work they generate. One under-the-radar company just developed a chip with \u003cem\u003e880 times\u003c/em\u003e the memory capacity of Nvidia's. This chip could allow AI companies to push far beyond their current limits.\u003c/p\u003e\n\u003cp class=\"headline\"\u003eOn October 28, at 10 a.m. Eastern time, Brownstone Research founder Jeff Brown is going live with our own Whitney Tilson to share all the details in an online event. \u003ca href=\"https://signup.stansberryresearch.com/?cid=MKT890363\u0026amp;eid=MKT892002\"\u003eYou won't want to miss it\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eNatural gas can't solve the electricity shortage on its own, but it will be a crucial piece of the puzzle. In fact, natural gas consumption is \u003ca href=\"https://stansberryresearch.com/dailywealth/the-grid-is-nearing-its-limit\"\u003ealready rising steadily in the electric-power sector\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eLike every other AI company, Alphabet depends on reliable power. But all other AI companies also depend on Alphabet. It provides \u003ca href=\"https://stansberryresearch.com/dailywealth/alphabets-new-chip-could-be-the-next-ai-breakthrough\"\u003einfrastructure and services they can't replicate on their own\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"43:T1cf8,"])</script><script>self.__next_f.push([1,"\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: It's frustrating to see a stock you were interested in but didn't buy take off. However, as \u003cem\u003eStansberry's Investment Advisory\u003c/em\u003e editor Whitney Tilson explains, letting that frustration dictate your future decisions can turn a small mistake into a big one. In today's issue, last published in \u003cem\u003eDailyWealth\u003c/em\u003e in May 2025, Whitney outlines a better way to approach these \"missed opportunities.\"\u003c/p\u003e\n\u003chr /\u003e\n\u003cp\u003eAccording to a Wall Street clich\u0026#233;, the four most dangerous words in investing are, \"This time is different.\"\u003c/p\u003e\n\u003cp\u003eBut I've found a three-word phrase that's uttered just as frequently... and is arguably even more dangerous...\u003c/p\u003e\n\u003cp\u003e\"I missed it.\"\u003c/p\u003e\n\u003cp\u003eYou've probably grumbled these words to yourself before, after you passed on a stock you were considering buying... and then watched as it marched to new high after new high.\u003c/p\u003e\n\u003cp\u003eThe critical lesson here is that just because a stock has run up a lot, that doesn't necessarily mean it's too late to buy.\u003c/p\u003e\n\u003cp\u003eToday, I'll show you why this simple, three-word phrase can be so misleading...\u003c/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003eLook Beyond a Stock's Price\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eIn my decades in the markets, I've seen it time and time again.\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://stansberryresearch.com/dailywealth/two-major-trends-to-watch-in-2026\"\u003eValue investors\u003c/a\u003e tend to look in the bargain bin for beaten-down stocks trading at 52-week (if not multiyear) lows. They get a sense of satisfaction from getting a better deal than the guy who bought the same stock a month or a year ago.\u003c/p\u003e\n\u003cp\u003eIt's a great strategy if \u0026#8211; and this is a big \"if\" \u0026#8211; you can correctly identify companies whose fundamentals will eventually turn around. The key here is to avoid value traps: the companies that never turn around, whose businesses (and stocks) keep declining and declining...\u003c/p\u003e\n\u003cp\u003eBut what about stocks that never really fall out of favor \u0026#8211; the ones that never end up in the bargain bin? Value investors often miss them.\u003c/p\u003e\n\u003cp\u003eTake Alphabet (GOOGL), for example...\u003c/p\u003e\n\u003cp\u003eIn August 2004, the company (at that point still known as Google) went public at a split-adjusted $2.51 per share. By October, it had already more than doubled. A year later, it doubled again. And two years after that \u0026#8211; in October 2007 \u0026#8211; shares were trading at $18. Today, they're up to around $330.\u003c/p\u003e\n\u003cp\u003eSure, it would have been great to buy shares right at the initial public offering. You'd be sitting on gains of more than 13,000% today. But even if you didn't buy on day one, you didn't miss it.\u003c/p\u003e\n\u003cp\u003eHeck, even if you had sucked your thumb for a year, watched the stock go up more than 260%, and bought shares in October 2005, you could have \u003cem\u003estill\u003c/em\u003e doubled your money in only two years...\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://assets.stansberryresearch.com/uploads/sites/2/2024/02/020224-DIG-googl.png\"\u003e\u003cimg src=\"https://assets.stansberryresearch.com/uploads/sites/2/2024/02/020224-DIG-googl.png\" width=\"510\" height=\"325\" class=\"aligncenter size-full\" /\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eIf you missed those early opportunities on Google, well, join the crowd. I, too, watched its shares continue to go higher and higher, wishing I'd established a position.\u003c/p\u003e\n\u003cp\u003eIt would be one thing if I had done the work on it and concluded that the stock was outside my circle of competence (it wasn't) or was too expensive (it wasn't).\u003c/p\u003e\n\u003cp\u003eBut that wasn't the case. \u003cem\u003eI simply didn't do the work\u003c/em\u003e. Why? It wasn't because I was lazy. Rather, when I looked at the stock, it was usually trading at or near an all-time high, so I kept telling myself that \"I missed it\" and moved on.\u003c/p\u003e\n\u003cp\u003eIf I had just bought what I knew was a great business at any of those points circled in the chart above, I'd be sitting on a multibagger today.\u003c/p\u003e\n\u003cp\u003eLet me give you another example. My friend Chris Stavrou bought shares of Warren Buffett's Berkshire Hathaway (BRK-A) back when Chris was a stockbroker in the 1970s.\u003c/p\u003e\n\u003cp\u003eHe started buying it for his clients around $400 a share, even after it had risen more than 2,000% over the previous decade, because he didn't fall into the \"I missed it\" trap.\u003c/p\u003e\n\u003cp\u003eA decade later, he opened up his own hedge fund, Stavrou Partners. By then, Berkshire was trading at an all-time high of $1,800 per share.\u003c/p\u003e\n\u003cp\u003eSo did he say to himself, \"Wow, this stock has moved up a lot \u0026#8211; I think I'll wait for a pullback\" or \"Drat, I missed it\"?\u003c/p\u003e\n\u003cp\u003eNo. He saw that it was a great company run by a brilliant investor, and the stock was still attractive at $1,800. So he bought it for his nascent fund...\u003c/p\u003e\n\u003cp\u003eToday, BRK-A shares are each valued at well over \u003cem\u003e$800,000\u003c/em\u003e!\u003c/p\u003e\n\u003cp\u003eSo learn this lesson well: Whether a stock is trading at a 10-year low or a 10-year high tells you \u003cem\u003eabsolutely nothing\u003c/em\u003e about whether it's cheap or expensive.\u003c/p\u003e\n\u003cp\u003eThough I sold it much too soon, I was smart enough to buy Apple (AAPL) when it traded for a split-adjusted $0.35 per share back in October 2000...\u003c/p\u003e\n\u003cp\u003eIn the years that followed, Apple rolled out the iPod music player, iPhone smartphone, iPad tablet, Apple Watch smart device, \u003ca href=\"https://stansberryresearch.com/dailywealth/our-devices-are-breaking-free-from-the-smartphone\"\u003eAirPods headphones\u003c/a\u003e, and more.\u003c/p\u003e\n\u003cp\u003eIt's no wonder Apple has been one of the best-performing stocks of all time. It now trades for around $340 per share.\u003c/p\u003e\n\u003cp\u003eOctober 2000 was a rare chance to buy a world-class stock before it rose roughly 97,000%... enough to turn every $1,000 stake into almost $1 million.\u003c/p\u003e\n\u003cp\u003eSome stocks trading at multiyear lows are horrible value traps that are headed to zero. And some stocks trading at multiyear highs are going to be spectacular winners going forward.\u003c/p\u003e\n\u003cp\u003eIf you want to make money in the markets, don't fall into the \"I missed it\" trap...\u003c/p\u003e\n\u003cp\u003eIgnore where the stock has been, do the work, and make a rational assessment of where it is likely to go in the future.\u003c/p\u003e\n\u003cp\u003eGood investing,\u003c/p\u003e\n\u003cp\u003eWhitney Tilson\u003c/p\u003e\n\u003chr /\u003e\n\u003cp class=\"headline\"\u003e\u003cstrong\u003eEditor's note\u003c/strong\u003e: ChatGPT's debut in 2022 kicked off historic gains in stocks... and transformed names like Nvidia into market darlings. But if you think you've missed your shot to invest in AI, you're mistaken.\u003c/p\u003e\n\u003cp class=\"headline\"\u003eA new company has developed a chip that outperforms Nvidia's on every metric. Put simply, it has the potential to completely upend the market. And on October 28, Whitney is joining Jeff Brown from our corporate affiliate Brownstone Research online to share all the details... \u003ca href=\"https://signup.stansberryresearch.com//?cid=MKT890363\u0026amp;eid=MKT891892%20\"\u003eReserve your free spot now\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"note\"\u003e\n\u003ch4\u003e\u003cstrong\u003eFurther Reading\u003c/strong\u003e\u003c/h4\u003e\n\u003cp\u003eNot all clich\u0026#233;s are dangerous. Investing is difficult, and many factors are beyond our control. While it may sound trite, the simple truth is that \u003ca href=\"https://stansberryresearch.com/dailywealth/pro-investors-do-this-amateurs-dont-but-they-should-2\"\u003ehaving a repeatable process is the best way to beat Wall Street\u003c/a\u003e.\u003c/p\u003e\n\u003cp\u003eApple has been one of the biggest moonshot stocks of our time. But the company isn't done innovating. Its latest twist on one of its core products \u003ca href=\"https://stansberryresearch.com/dailywealth/apple-scores-a-rare-buy-the-news-moment\"\u003eis already defying investors' expectations\u003c/a\u003e.\u003c/p\u003e\n\u003c/div\u003e\n"])</script><script>self.__next_f.push([1,"37:[\"$\",\"section\",null,{\"children\":[\"$\",\"$L39\",null,{\"articles\":[{\"analysts\":[\"jason-bodner\"],\"audioMp3\":null,\"content\":\"$3a\",\"canonicalUrl\":null,\"contentText\":\"\",\"excerpt\":\"Investors are starting to worry about AI amid falling prices. But the companies building the technology are still growing...\",\"featuredArticle\":false,\"createdAt\":1793359804000,\"modifiedAt\":1793302893000,\"title\":\"The AI Winter That Isn't\",\"subtitle\":null,\"slug\":\"the-ai-winter-that-isnt\",\"wordpressId\":577860,\"category\":\"newsletters_daily\",\"categories\":[\"newsletters_daily\"],\"pdfOnly\":false,\"pdfUrl\":null,\"publication\":{\"publicationCode\":\"sdw\",\"level\":100,\"slug\":\"100-sdw\"},\"sites\":[],\"symbols\":[],\"sub_types\":[\"newsletter\"],\"tickers\":[],\"teaser_content\":[\"Editor's note: In the AI market, costs have been falling. Recently, so have stock prices... But according to Jason Bodner of our corporate affiliate Brownstone Research, the technology itself is still advancing. 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Brett is also a member of the Stansberry Portfolio Solutions Investment Committee. Brett boasts a strong background in applied mathematics and statistics, and has a degree in actuarial science.\u003c/p\u003e\n\u003cp\u003eHe has put his analytical expertise to work in the markets for more than a decade. And, notably, Brett helped develop True Wealth Systems – one of Stansberry Research's most in-depth, data-driven products – alongside founding editor Dr. Steve Sjuggerud. This service uses powerful computer software, similar to the kind found at hedge funds and Wall Street banks, to pinpoint the sectors most likely to return 100% or more.\u003c/p\u003e\n\u003cp\u003eBrett takes a top-down investment approach. His first goal is spotting big macro trends in the market. These are the kinds of inescapable tailwinds with major profit potential for investors. From there, Brett looks for opportunities that are cheap and unloved by the market. Last, he always waits for the momentum to be in his favor before investing. This means Brett consistently takes a contrarian approach to investing. Combine that with data-driven analysis, and it leads to fantastic long-term performance.\u003c/p\u003e\n"])</script><script>self.__next_f.push([1,"44:[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__sidebar-container\",\"children\":[[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__sidebar-item\",\"children\":[\"$\",\"div\",null,{\"className\":\"sidebarNewsletterSignup-module-scss-module__bHU0kq__sidebarNewsletterSignup sidebarNewsletterSignup-module-scss-module__bHU0kq__sidebarNewsletterSignup__theme_sky\",\"children\":[[\"$\",\"div\",null,{\"className\":\"sidebarNewsletterSignup-module-scss-module__bHU0kq__sidebarNewsletterSignup__title\",\"children\":[\"Subscribe to \",\"DailyWealth\",\" for FREE\"]}],[\"$\",\"div\",null,{\"className\":\"sidebarNewsletterSignup-module-scss-module__bHU0kq__sidebarNewsletterSignup__subtitle\",\"children\":[\"Get the \",\"DailyWealth\",\" delivered straight to your inbox.\"]}],[\"$\",\"div\",null,{\"className\":\"$undefined\",\"children\":[\"$\",\"$L45\",null,{\"path\":\"/dailywealth\",\"code\":\"SDW\",\"location\":\"eletter\",\"signUpDetails\":\"$22:props:children:1:props:children:0:props:children:0:props:children:props:product:signUp\",\"submitText\":\"Subscribe\",\"type\":\"eletter\",\"btnColor\":\"white\",\"productTitle\":\"DailyWealth\"}]}]]}]}],false,[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__sidebar-item\",\"children\":[\"$\",\"$L46\",null,{\"product\":\"$22:props:children:1:props:children:0:props:children:0:props:children:props:product\"}]}],\"$undefined\",[\"$\",\"div\",null,{\"className\":\"contentLayout-module-scss-module__a72rLW__contentLayout__sidebar-item\",\"children\":[\"$\",\"$L47\",null,{\"product\":\"$22:props:children:1:props:children:0:props:children:0:props:children:props:product\",\"contributors\":[{\"code\":\"brett-eversole\",\"name\":\"Brett Eversole\",\"role\":\"Editor\",\"lead\":true,\"featured\":true,\"bio\":\"$48\",\"imageUrl\":\"https://assets.stansberryresearch.com/uploads/sites/2/2021/12/headshot-Brett_Eversole-500-square_61c104b0d9651.png\"}]}]}],\"$undefined\"]}]\n"])</script></body></html>