One truck every six minutes. That’s the production rhythm at SANY’s electric truck plant in China — the largest of its kind in the world. While European manufacturers debate the pace of electrification, SANY has already settled the question. And now they’re heading to Europe.

This isn’t just an automotive story. It’s a business model innovation story. And the lessons apply far beyond trucks.

From Diesel to Electric in Five Years: A Decision, Not a Roadmap

Five years ago, SANY was a conventional diesel manufacturer. Today, they produce electric trucks exclusively for the Chinese domestic market — roughly 90% of their total volume. That’s not a product update. That’s a complete reconstruction of the business architecture.

European OEMs have spent years arguing that the transition to electric commercial vehicles must be gradual. Regulatory uncertainty, infrastructure gaps, customer readiness — the list of reasons to move slowly is long and familiar. SANY’s story demolishes that logic. But the more important question is: what made the transformation possible at all?

The answer lies in what you might call the fourth element of any business model: the spirit of the enterprise — the values, the culture, and above all, the decisions that leadership is willing to make and stick to. SANY’s leadership made a clear, irreversible call: electric only, domestic market, full speed. That decision ended internal debates about pace and priority. It forced the reconstruction of capabilities rather than the protection of existing ones. Without that decision, nothing else follows. Transformation speed is not primarily a technology problem. It is a decision problem. SANY decided. European OEMs are still deliberating.

The Scale Gap Nobody Wants to Talk About

Here are the numbers that should keep European truck executives awake at night.

As reported by Stef Cornelis after a factory visit to SANY’s electric truck plant, SANY has already sold around 11,000 electric trucks in China in 2026 and is targeting 40,000 units by the end of the year.

Europe, by contrast, is still operating at a completely different scale. According to the European Automobile Manufacturers’ Association (ACEA), total EU truck registrations reached 81,766 units in Q1 2026, while electrically-chargeable trucks accounted for only 4.4% of the market. That implies roughly 3,600 electric trucks in the first quarter. Annualised, that equals around 14,400 electric trucks for the year — not as a forecast, but as a simple Q1 run-rate.

SANY is therefore aiming for nearly triple Europe’s current annualised pace — alone.

This matters because scale is not just an operational metric — it is the engine of a fundamentally different cost structure. At 40,000 units per year, fixed costs are distributed across a base that makes European volumes look artisanal. Learning curves steepen. Supplier negotiations shift. Per-unit economics improve in ways that engineering talent alone cannot replicate. European OEMs are not on a slower version of the same cost curve. They are on a structurally different one — and closing that gap requires volume commitments that most have not made.

The efficiency trap is real: European OEMs have optimized their diesel businesses to near-perfection. That optimization does not transfer to electric. The most productive diesel plant in Europe is irrelevant to the race SANY is running. Efficiency measures how well you do something — not whether it is still the right thing to do.

A 20% Price Premium — and Falling

Four years ago, SANY’s electric trucks cost three times more than their diesel equivalents. Today, that gap has narrowed to roughly 20%. The trajectory is clear: cost parity is a matter of when, not if.

The mechanism behind this compression is the cost structure that scale enables — not a engineering breakthrough. This is the critical distinction. As long as European OEMs produce electric trucks in small volumes, they cannot close this gap through better engineering alone. The revenue model of premium pricing, built on decades of diesel brand equity, is now structurally exposed. Fleet operators — the actual customers making purchasing decisions — buy total cost of ownership, not badges. A 20% premium is defensible with strong service and brand trust. A credible alternative priced 30% below? Much harder to sell.

Designing for Electric: Why a Clean Sheet Changes Everything

Perhaps the most telling detail from SANY’s factory floor is this: their latest generation trucks were designed from scratch as electric vehicles, not retrofitted from diesel chassis.

The result is a fundamentally different product — and a fundamentally different value-creation architecture. Reduced axle weight. Lighter electric motors. More room for batteries or additional payload. As a SANY representative put it directly: “An e-truck is a fundamentally different product, so why would we use the same design?”

This is the question every incumbent should ask about their own industry. Retrofitting existing product logic onto new technology is faster and cheaper in the short term. It also protects existing production capabilities and avoids writing off past investments. But it produces an inferior product — and it leaves the door wide open for competitors who start with a blank page and build entirely new core capabilities around the new technology.

Apple didn’t make the iPhone by improving Nokia’s best phone. SANY didn’t build their leading electric truck by electrifying their best diesel. The clean-sheet approach is strategically uncomfortable precisely because it requires abandoning what made you successful. It is also, very often, the only path to building something genuinely better.

Europe Is Next

SANY plans to begin selling in Europe next year. The 636 kWh model. And they are confident they can price it well below European OEM equivalents.

Whether that plays out exactly as projected matters less than the direction of travel. A large-scale, cost-competitive Chinese electric truck manufacturer is entering the European market. The question is not whether this creates pressure — it clearly will. The question is what European OEMs do with that pressure.

The honest answer, from a business model perspective, is that most of them are not ready. Their production architectures were built around diesel. Their cost structures reflect low-volume electric production. Their revenue models assume premium pricing that a credible, cheaper alternative will challenge directly.

Even if the European market grows faster in the second half of 2026, the scale gap remains striking. ING Research expects the market share of heavy electric trucks above 16 tonnes in Europe to exceed 5% in 2026, up from around 3% in 2025. The IEA’s Global EV Outlook 2026 confirms the broader pattern: electric truck sales are growing globally, but the decisive momentum is in China, where adoption and scale are already far ahead of Europe.

The service network will be SANY’s biggest barrier — and European OEMs’ last real moat. Fleet operators do not just buy trucks; they buy uptime, maintenance contracts, and roadside support. If SANY can build or partner its way to a credible service network, it removes that barrier. European OEMs should be investing heavily in making their service advantage as strong as possible — because it may be the only sustainable differentiator left.

Five Lessons for Every Business, Not Just Truck Manufacturers

The SANY story is extreme in its numbers. The lessons, however, are universal.

Decisions create speed, not plans. SANY’s transformation happened because leadership made a clear, irreversible call and aligned the entire organization behind it. Endless analysis and gradual commitment produce gradual results — and gradual results in a fast-moving market are just slow-motion losing.

Scale is a strategic weapon, not just an operational goal. Whoever reaches scale first shapes the cost structure of the entire industry. Small-volume producers in a scale-driven market are not just at a price disadvantage — they are structurally locked out of the economics that make competition possible.

Efficiency in the old model is a trap. Optimizing what you have does not build what you need. A business is often most productive right before an innovation makes it obsolete. The perfectly optimized diesel plant is not an asset in an electric world — it is a sunk cost that makes the necessary transition harder to justify.

A new technology deserves a new architecture. Retrofitting old product and production logic onto new technology produces mediocre outcomes and protects capabilities that may no longer be relevant. The clean-sheet approach is harder. It is also the only way to build something that a competitor cannot replicate by simply copying your existing design.

Business model innovation is about the connections, not the parts. SANY’s advantage is not one clever decision — it is the interdependence of all of them. The clean-sheet design enabled a better product. The better product justified volume commitments. The volume commitments created the cost structure. The cost structure built the price advantage. Business model innovation can start anywhere in the system — with a new customer insight, a new production approach, a new revenue logic. But the competitive advantage only becomes durable when the pieces reinforce each other. That is what makes it hard to copy, and what makes it worth building.

The trucks are just the medium. The message is about what happens when a competitor rebuilds their entire business model — deliberately, systematically, from the ground up — while you are still optimizing the one you already have.

Source: First-hand observations and data from a factory visit to SANY’s electric truck plant in China, reported by Stef Cornelis on LinkedIn.

The post Business Model Innovation in Action: What SANY’s Electric Trucks Mean for European OEMs appeared first on Blog on Business Model Innovation.

The provocative question is this: Is Hyrox just modernised circuit training? Technically, yes. Eight exercises, running in between — gyms have offered this for decades. And yet Hyrox has become one of the fastest-growing fitness brands on the planet, projecting $140 million in revenue for 2025. So what exactly happened?

The answer has nothing to do with product innovation. It has everything to do with Value Innovation — a concept that sits at the heart of business model thinking. Hyrox didn’t improve circuit training. It transformed what circuit training means to the people doing it. And that single shift triggered a cascade: a new business architecture, a new revenue model, and ultimately a full Business Model Innovation.

Let me walk through this using the four elements and eleven building blocks of the business model framework I use in my work and in my book Das Richtige gründen.

The Numbers First

This is not a niche fitness trend. This is a mass-participation sport being built from scratch — faster than triathlon, faster than obstacle racing, and with a much broader target group than CrossFit.

It Starts with the Founders, Not the Product

The standard mistake in business model analysis is to start with the product. That is exactly where Hyrox’s success does not begin. It begins with who Toetzke and Fürste are — and crucially, who they are not.

Christian Toetzke is not a gym owner or sports therapist. He is a serial sports-event entrepreneur — the man behind the Hamburger Cyclassics cycling race and the Hamburg Triathlon, who sold his first company to the French media giant Lagardère (later acquired by the Ironman Group). Moritz Fürste is a three-time Olympic medallist in field hockey, a media manager, and an economic psychologist. Between them: event logistics expertise, brand-building instinct, and deep media intelligence.

This matters profoundly. A typical gym founder asks: How do I build the best training? Toetzke and Fürste asked: How do I build a global competitive format that 100 million people can participate in? That is a categorically different question — and it leads to a categorically different business model.

“Big ideas just do not happen at big corporations. The board meetings are too long, every decision takes forever, so they never develop something from scratch.”

— Christian Toetzke, Big Think, April 2025

His guiding principle on brand focus is equally unambiguous. When asked about pressure to change the format or expand into other fitness areas, Toetzke’s answer is always the same: “You have to be very convinced about your product and the DNA of a product. And you have to stick to the game plan.” (Entrepreneur, 2024)

Lesson for founders: The background of the founding team is not a biographical footnote — it is the origin of the business model. People with marketing DNA entering a product-dominated industry have a structural advantage: they ask a fundamentally different first question.

Element 1: Value Innovation — Changing Meaning, Not Product

Here is the central thesis of this post, stated plainly: Hyrox is a Value Innovation, not a product innovation.

Circuit training was never a bad product. It remains one of the most effective full-body training modalities available — cardiovascular endurance, muscle strength, deep stabiliser muscles, all in one session. Sports scientists have known this for decades.

But circuit training had an image problem. For most people, it evoked memories of compulsory school PE lessons. Something you were made to do, not something you chose. The rejection was not rational — it was emotional. And emotional barriers are the strongest kind.

What Hyrox changed was not the training. It changed what the training means.

• From compulsory school exercise to your personal race time, comparable worldwide
• From workout to Race
• From exercises to Stations
• From training session to Finishing Time

In business model terminology, this is what we call Value Innovation: the innovation does not begin with the product but with the Value Proposition — the meaning, the promise, the emotional experience the customer actually buys. In everyday language, you might call it a Marketing Innovation. But the more precise term in the business model world is Value Innovation, because it starts with value — with what the customer truly gets — and works backwards from there.

“What is your first question when someone tells you they run marathons? Of course: what’s your time? That’s why we built Hyrox with clear rules, fixed standards, and a finishing time as the universal benchmark.”

— Christian Toetzke, Brand eins, 2025

Customers don’t buy eight workout stations. They buy a number — their personal best, globally comparable. They buy identity. The finisher shirt is the modern Rolex: it signals I did this.

The Ironman comparison is instructive here. Swimming, cycling, and running had all existed for centuries before 1978. What changed when someone held the first Ironman race on Hawaii and gave it that name? Everything. Nobody would have printed “Triathlon Competition” on a T-shirt and built a global identity movement around it. “Ironman” is identity.

Lesson for founders: Value Innovation does not begin with the product. It begins with the question: what does this product mean to the customer today — and what could it mean? Many companies have excellent products with a dormant Value Proposition. They have not stopped improving the product. They have stopped asking why anyone should care.

Element 2: Business Architecture — How a New Value Proposition Forces Everything Else to Change

Value Innovation is not just a new positioning. It is architecturally consequential. A new Value Proposition forces a new business architecture — because the product is only one building block of the model.

The Offer Changes

A gym sells memberships or personal training sessions. Hyrox sells a Race entry. That sounds like a small shift. It is fundamental. Hyrox is not a gym operator. It is an event company. This single distinction determines everything else.

The Partners Change

A gym needs equipment suppliers and cleaning services. Hyrox needed exhibition hall operators, Concept2 as the official SkiErg and rowing machine supplier, Red Bull (who needed an entry point into the fitness world), and Puma (who believed strongly enough to develop an entire Hyrox-specific training line).

The Go-to-Market Changes

Hyrox’s gym acquisition strategy is a masterclass in patient market development. They arrived at studios with vans full of equipment, ran free events, and asked only that gyms invite their members. Only after the first hundred German gyms were convinced did they begin charging licence fees. And on the influencer front: micro-influencers with 20,000–30,000 followers delivered the brand far more effectively than expensive stars with millions of followers. Relevance over reach.

The Core Capabilities Change

A gym requires excellent trainers. Hyrox requires world-class event logistics, global brand management, and community cultivation at scale. Six “roadshows” — each consisting of eight articulated trucks of equipment — are positioned strategically around the globe. These are entirely different core capabilities that only exist because the Value Proposition demands them.

Lesson for founders: A Value Innovation is never just a repositioning exercise. It demands a new business architecture. Changing the Value Proposition while keeping the existing architecture intact is one of the most common reasons business model transformations fail. Everything is connected.

Element 3: Revenue Model — And the Open Question

A new architecture produces a new revenue model. According to Toetzke’s own figures (Brand eins, 2025), the split is approximately 90% from events — race entries, spectator tickets, merchandise, and sponsorship — and 10% from gym licences: 5,000 affiliated studios each paying around €130 per month, generating roughly €7.8 million in recurring annual revenue. Start-up fees are collected at registration, weeks or months before the event itself — a powerful liquidity advantage.

And yet: after eight years of operation and with revenues now approaching $140 million (Fortune, 2025), Hyrox has not yet turned a profit. Fifteen million euros have been invested since founding. The majority shareholder, Infront Sports & Media, belongs to the Chinese conglomerate Dalian Wanda — which has been navigating its own real-estate crisis.

Lesson for founders: A new Value Proposition generates a new revenue logic — often structurally superior to the incumbent’s. But revenue is not profit. The Business Model Innovation is complete only when the revenue model actually sustains the business. Growth without profitability is a strategy — until the moment it isn’t.

Element 4: Company Spirit — Values That Are Lived, Not Stated

Toetzke’s personal best in the Pro Men’s category is 1:23:03. He trains Hyrox five times a week. The company’s stated value — “sport for everyone” — is structurally embedded in the format itself: no qualifying standards, no minimum fitness requirements. The inclusive lower boundary coexists with genuine elite competition at the top, including World Championships with $150,000 in prize money.

“According to Fürste, the original brief was ‘to create an event that is a €200,000 production that looks like a €2,000,000 production’.”

— Wikipedia, Hyrox, citing Moritz Fürste

That sentence reveals everything about the company’s spirit: maximum perceived value, minimum waste.

The Moat Question: How Deep Is It?

The format is not patentable. Anyone could launch “Pyrox” tomorrow with the same eight exercises. When asked whether he fears copycats, Toetzke’s answer is revealing: not at all. He expects the fitness event market to grow dramatically, and believes more events will feed rather than threaten Hyrox — precisely as Parkruns and half-marathons feed the London Marathon. (Health Club Management)

Hyrox’s moat is brand, community, and first-mover advantage. The risk is not a copycat — it is internal: community moats erode when the energy behind them fades.

The Broader Lesson: Where Is the Next Value Innovation?

Which other domains have excellent products with dormant Value Propositions?

Voluntary work and social engagement — genuinely life-changing, but invisible and uncelebrated. No finisher photo. No comparable metrics. What if volunteering had a Hyrox logic?

Blood donation — saves lives, but the experience is clinical and joyless. The emotional Value Proposition practically writes itself: you saved someone today.

Vocational training — economically essential, socially undervalued, emotionally positioned as second choice to university. At a moment when skilled trades are critically short, the Value Innovation opportunity is obvious to anyone looking from outside the system.

In each case, the product is not the problem. The meaning is. And the people most likely to solve it are not the incumbents — they are outsiders with different mental models. Toetzke was not a fitness trainer. He was an event entrepreneur. That is precisely why he could see what the fitness industry could not.

Conclusion: The Full Chain

Hyrox is not a product innovation. But it is a textbook example of how Value Innovation cascades into a complete Business Model Innovation:

Founders with marketing DNA → see an unserved customer need → develop a Value Innovation → which forces a new business architecture → which generates a new revenue model → sustained by a company spirit that is genuine and architecturally embedded in the format itself.

The product did not change. The business model did. And that is the lesson for every company sitting on a good product with a sleeping Value Proposition: the question is not how to make the product better. The question is what the product could mean.

The single most important lesson: Value Innovation begins not with the product but with the question: what meaning does this create for the customer? When you find a new, compelling answer to that question, everything else in the business model must be rebuilt around it. That is not a marketing exercise. That is a Business Model Innovation.

Sources

• Brand eins, Interview with Christian Toetzke, 2025 — revenue figures, licence model, investor structure, influencer strategy
• Big Think, “The Christian Toetzke Interview”, April 2025 — leadership philosophy, startup vs. corporate
• Fortune, October 2025 — projected $140M revenue 2025
• Entrepreneur, July 2024 — brand discipline, game plan quote
• Athletech News, December 2023 — market gap, natural movements, US expansion
• Health Club Management — copycat strategy, “Marathon of Fitness” vision
• Wikipedia, Hyrox — affiliate gym tiers, World Championship data, Fürste’s original brief
• Patrick Stähler, Das Richtige gründen, 4th edition — business model framework: 4 elements, 11 building blocks

The post Hyrox: When Value Innovation Triggers a Full Business Model Innovation appeared first on Blog on Business Model Innovation.

Why This Is Not a Product Crisis, but a Business Model Crisis

The current debate around Novo Nordisk is often framed as a story of lost momentum. Production bottlenecks. A stronger competitor. A delayed response to direct-to-consumer channels. The Economist recently described Novo’s situation as a company trying to “recover its lead” in obesity drugs.

That framing is comforting — and misleading.

Novo Nordisk is not facing a temporary execution problem. It is facing a business model transition that challenges some of the deepest assumptions of the pharmaceutical industry.

From prescription market to consumer market

For decades, the pharmaceutical business model was stable and predictable.

• Doctors prescribed.
• Insurers paid.
• Patients complied.
• Demand was mediated, controlled and forecastable.

Obesity drugs break this logic.

GLP-1 therapies did not spread primarily because doctors aggressively pushed them. They spread because patients pulled them into the system. Social diffusion, identity, stigma reduction and self-optimisation became demand drivers. Payment often came directly from patients, not from insurers.

This single shift changes everything.

When patients become the economic buyer, the classic pharma logic collapses. Forecasting, capacity planning, pricing, distribution and even brand positioning must be redesigned. Novo Nordisk underestimated this shift. Eli Lilly did not.

The wrong unit of value: selling molecules instead of outcomes

Novo’s implicit value proposition is still product-centric:

“We offer a clinically proven GLP-1 drug that helps you lose weight.”

That was sufficient when Novo was alone in the market.

It is insufficient in a competitive, consumer-driven environment.

Patients do not want semaglutide. They want reliable, sustained weight loss with minimal friction. The drug is a means, not the end. As competition increases and patents expire, the molecule inevitably becomes a commodity.

This is not speculation. We have seen it before:

• Insulin (where value shifted over time from the molecule itself to delivery systems such as insulin pens, pumps and integrated diabetes management solutions) see my post from 2009 on Novo Nordisk’s move away from molecules to insulin pens
• Statins (cholesterol-lowering drugs that became standardised, generic and price-driven once clinical effectiveness converged)
• SSRIs (Selective Serotonin Reuptake Inhibitors, antidepressants such as Prozac that were once breakthrough products and later became economically commoditised)

In each case, value migrated away from the molecule toward the system around it.

The uncomfortable implication for Novo is this:
If you sell drugs, you will eventually compete on price.
If you sell outcomes, you can compete on relevance.

Where the value chain breaks

Novo’s traditional value creation system or value architecture is linear:

R&D → Manufacturing → Wholesalers → Insurers → Physicians → Patients

This system is optimised for control, not responsiveness.

Obesity drugs exposed its fragility:

• Demand exploded unpredictably.
• Supply lagged.
• Compounding pharmacies filled the gap.
• Telehealth providers captured customer relationships.
• Price transparency replaced rebate complexity.

None of this is accidental. It is what happens when a value chain designed for gatekeeper markets is suddenly exposed to consumer markets.

Cutting jobs or expanding capacity does not fix this. It merely stabilises a structure that no longer fits the market.

The coming commoditisation shock

One detail in the current debate deserves more attention: semaglutide will lose patent protection in several major emerging markets in 2026, including China, India and Brazil.

At the same time:

• Over 160 obesity drugs are in development.
• Differentiation by efficacy is narrowing.
• Willingness to pay varies dramatically across markets.

This sets the stage for classic commoditisation dynamics.

The strategic question for Novo is therefore not:

“How do we win the next product cycle?”

But:

“What captures value when the molecule no longer does?”

Why “thinking like Amazon” is not enough

Novo’s new CEO says the company must develop a “consumer mindset” and “think more like Amazon”.

This is directionally right — but strategically vague.

Amazon is not successful because it delivers faster. Amazon is successful because it:

• Optimises lifetime value, not transactions.
• Uses data to personalise offerings.
• Builds switching costs through ecosystems.
• Treats products as entry points, not profit centres.

The real question Novo must answer is uncomfortable:
What is the equivalent of Amazon Prime in obesity management?

Without a clear answer, direct-to-consumer is just a new distribution channel, not a new business model.

What a business model response would actually look like

A genuine response to the obesity market would require Novo to move beyond drugs as the core value unit.

Three strategic directions are plausible:

1. Outcome-based models
   Subscription pricing, bundled services, long-term weight maintenance, and shared risk with payers or employers.
2. Portfolio orchestration
   Multiple drugs, multiple patient archetypes, lifecycle management from initiation to maintenance, data-driven switching.
3. Ecosystem control
   Owning the interface to the patient, integrating diagnostics, behavioural support, monitoring and digital services.

In all three cases, the drug becomes less important than the system that makes it work.

The real transformation challenge

The narrative of “recovering leadership” suggests a return to a former state.

That state no longer exists.

Novo Nordisk is not transforming from a cautious drugmaker into a nimble consumer brand. It is being forced to choose between two futures:

• Becoming the best manufacturer of an increasingly standardised input.
• Becoming the orchestrator of outcomes in a new health-consumer market.

Eli Lilly appears further along in recognising this distinction.

The tunnel Novo entered with Wegovy does not end with more capacity or better pricing. It ends only if the company accepts a hard truth:

This is not a product race anymore.
It is a business model race.

Traditional learning

When a company that has been successful for decades suddenly struggles, the reflex is often to ask what went wrong recently.

The more useful question is usually different:

Which assumptions that once made us successful are no longer true?

Novo Nordisk’s story is a reminder of a classic pattern in business model innovation:

• Markets do not change when new products appear.
• Markets change when who pays, who decides, and what counts as value shifts.

Those shifts are easy to describe in hindsight — and very hard to act on in real time.

That is why leadership today is less about having the best product, and more about having the courage to redesign the business model before the old one visibly collapses.

The post Novo Nordisk’s Obesity Challenge Is a Business Model Problem, Not a Product Problem Or an Execution Failure appeared first on Blog on Business Model Innovation.

Artificial intelligence is fundamentally changing the business model of software companies. What once were capital-light, high-margin revenue models are increasingly turning into capital-intensive, infrastructure-driven businesses. Using Oracle as a case, this article analyses how AI-driven business model innovation reshapes the revenue model, alters the underlying economics of software firms, and forces a shift from classic software logic to utility-like economics. The focus is not on technology hype, but on the hard financial consequences of AI for margins, capital intensity, and long-term value creation.

The Classic Software Business Model: High Margins, Low Capital

For decades, the economics of enterprise software were almost embarrassingly attractive. Revenues were recurring, marginal costs close to zero, capital expenditure modest, and cash flows predictable. Once embedded in a customer’s core processes, software monetised time, not infrastructure.

Artificial Intelligence as a Business Model Disruptor

Artificial intelligence breaks this logic. Let’s look at Oracle. 

Oracle’s historical revenue model was built on licences, maintenance fees and later cloud subscriptions layered on top of an already amortised technology base. Value creation was decoupled from physical assets. Growth improved margins. Scale reduced risk.

AI and the New Revenue Model: From Software Economics to Infrastructure Economics

With AI, revenue is once again tightly coupled to capital. Every additional dollar of AI-related revenue requires massive upfront investment in data centres, GPUs, energy contracts and long-term leases. Revenues may grow, but unit economics deteriorate. Scale no longer automatically improves profitability; it amplifies capital intensity.

Changing Cost Structure and Capital Intensity in AI Business Models

The numbers make the shift visible. Oracle’s capital expenditure has moved from below 5% of revenue to levels that consume the majority of incremental sales. Free cash flow, once the defining feature of the business, has turned negative. Return on capital has fallen sharply, despite double-digit revenue growth (The Economist, Dec 11, 2025).

Business Model Innovation by AI: A Structural, Not Cyclical, Shift

This is not a temporary dip. It is a change in the underlying revenue logic. AI turns software revenue into something closer to infrastructure revenue: long-term contracts, high fixed costs, financial leverage and dependency on utilisation rates. In economic terms, Oracle no longer monetises software scarcity, but compute capacity.

Why AI Turns Software Companies into Utilities

Seen through this lens, it is no surprise that Oracle now resembles a utility or a resource company more than a classic software firm. The risk profile, capital structure and investor expectations must follow suit.

The Broader Lesson for Business Model Innovation

The broader lesson extends well beyond Oracle. AI does not simply add a new revenue stream. It redefines the cost structure beneath the revenue model. Companies that fail to recognise this will continue to talk about “software margins” while running infrastructure economics.

AI changes not just what companies sell—but how money is made at all.

The post Oracle’s Business Model and the Hard Truths About The Future appeared first on Blog on Business Model Innovation.

There are moments when a country looks in the mirror and asks itself: “Am I still great?” France has known this feeling for a long time. The Grand Nation was once the center of the world—culturally, politically, militarily. But then came Waterloo, Indochina, and Algeria, and France had to come to terms with a new role: less empire, more joie de vivre. And England? The empire where the sun never set now glows only as a nostalgic memory on tea mugs. But at least the British have the humor to accompany their decline with dry sarcasm.

Germany’s Post-Premium-Auto Depression: A Nation in Limbo

And Germany? Germany is in the midst of its own post-premium-auto depression. Of course, Germany never had a classic world empire like France or England (colonies don’t really count when you lose them so quickly). But economically and industrially, Germany was world-class—the hidden leader of Europe. Made in Germany stood for quality, its engineering for perfection, its cars for the dream of freedom on the Autobahn. And now? Bureaucracy stifles innovation, anxious glances are cast towards China, and a creeping feeling emerges: Are the glory days over?

Paralyzed by Fear: Why Germany is Stuck in the Past

Germany, however, remains stuck in its collective depression. While other countries reinvent themselves, advanced technologies like heat pumps are labeled leftist woke tech, and only a heating system that burns something is considered a “real” heater. A real car has a combustion engine and of course, German engineers will find magical ways to manufacturer sufficent efuels by beating the laws of physics. While the world moves forward, Germany remains paralyzed by fear. But why? It’s high time Germany stops treating its past success story as a future blueprint and instead sees it as the beginning of a new chapter. Instead of nostalgically clinging to “the good old days,” we should ask ourselves: What could ‘Made in Germany’ stand for in the next 50 years?

The Key to Germany’s Future: Business Model Innovation

One answer is Business Model Innovation. Germany has always been strong in engineering, manufacturing, and process optimization. But today, that’s not enough. The real game-changer is not just making better products but creating new ways of delivering value, monetizing innovation, and structuring businesses for the digital and sustainable era. The world’s most successful companies don’t just improve—they reinvent.

Irony of History: Business Model Innovation—An Idea pioneered by German speakers Ignored by Germany

And here comes the irony: Business Model Innovation was first conceptualized by a German and Swiss. While many today associate the concept with Silicon Valley, the foundational work was actually done in Germany—by Dr. Patrick Stähler, who was the first to systematically analyze, structure, and define business models as a holistic concept. His pioneering dissertation „Geschäftsmodelle in der digitalen Ökonomie“ was published in 2001—in German. His insights laid the foundation for what later became a global megatrend.

It was Alexander Osterwalder, a Swiss-German, who later built upon this work and made it globally accessible with the Business Model Canvas, a visual tool that helped popularize the concept worldwide. His structured approach brought Business Model Innovation into boardrooms and startups alike—everywhere, except in Germany, where industrial efficiency still overshadowed business model reinvention.

But what did Germany do? Instead of embracing this revolutionary idea, German companies largely ignored it. Meanwhile, American tech giants and entrepreneurs in China took the idea and ran with it. Amazon, Google, Uber, and Airbnb—all are prime examples of companies that didn’t just build better products but redefined entire industries through new business models. The world adopted what was discovered in Germany, while German companies kept optimizing the past.

From Incrementalism to Disruption: Rethinking Value Creation

Instead of waiting for regulations to change or markets to stabilize, Germany needs to actively shape the future by rethinking how value is created and captured. That means moving beyond incremental improvements and embracing bold, disruptive ideas—whether through digital platforms, circular economy models, or entirely new approaches to industry and service. Business Model Innovation is not just an option; it’s the only way forward.

Germany’s New Mission: Reinvent, Don’t Regret

Because the world is changing—with or without Germany. Maybe it’s time for Germany to rise from its depression and stop making itself smaller than it is. What we need is not “everything was better in the past”, but “tomorrow can be even better.”

Let’s get to work—with a bit of French ease, British humor, and a solid dose of Business Model Innovation.

The post Moments of Reflection: Germany’s Post-Premium-Auto Depression and the Business Model Innovation Remedy appeared first on Blog on Business Model Innovation.

Wiping out $800 billion in market cap

This contributed to a collective decrease of over $800 billion in market capitalization across major AI players, signaling the disruptive potential of DeepSeek’s innovation. Among the biggest losers, Nvidia lost $589 billion, while other tech giants such as Microsoft and Alphabet saw declines of $120 billion and $95 billion, respectively. This event represents one of the largest single-week market capitalization losses in technology history, rivaling key moments such as the collapse of major tech stocks during the dot-com bubble and the 2008 financial crisis (Financial Times).

While the factual base surrounding DeepSeek’s achievements remains thin and unproven, this is characteristic of industries in what James Utterback’s framework, the “Dynamics of Innovation,” describes as the fluid phase of innovation. This framework was originally introduced in the 1975 article “A Dynamic Model of Process and Product Innovation,” co-authored with William J. Abernathy, and later expanded upon in his seminal book, Mastering the Dynamics of Innovation  (1994). In this phase, experimentation and uncertainty dominate as companies test new designs, models, and technologies to define the market’s future trajectory. Before delving into DeepSeek’s impact, it’s important to understand the three phases of industry evolution that Utterback identifies:

1. Fluid Phase: This initial phase is marked by rapid innovation, shifting paradigms, and uncertainty. New entrants and established players alike experiment with different approaches to address emerging market needs. Dominant designs and standards have yet to be established, and disruption is common.
2. Transitional Phase: As the market matures, experimentation decreases. Companies begin to coalesce around dominant designs and processes. Competition focuses on improving and refining existing products, with incremental innovation taking center stage.
3. Specific Phase: At this stage, industries stabilize around established standards and production methods. Innovation becomes incremental, focused on efficiency and cost reduction rather than groundbreaking advances.

The fluid phase, where DeepSeek clearly operates, is inherently volatile and difficult to navigate. Companies that thrive in this phase often challenge established assumptions, as DeepSeek has done by rethinking the cost structure and hardware requirements of AI development. Let’s explore how this plays out in the case of DeepSeek, using established frameworks to contextualize its impact.

How DeepSeek is Redefining AI Development Paradigms

DeepSeek’s approach exemplifies a shift from traditional, resource-intensive AI development to more streamlined, cost-effective methodologies. By claiming to have achieved comparable performance with significantly lower investment, DeepSeek might have disrupted the status quo, prompting industry leaders to reassess their strategies.

According to DeepSeek, their training costs were reduced by nearly 70% compared to leading competitors, with total costs reportedly amounting to just $10 million—a fraction of the hundreds of millions typically spent by leading AI firms. They achieved this by utilizing locally optimized data centers instead of relying on global cloud infrastructures (Bloomberg). 

However, its cost structure has been challenged by experts such as Martin Vechev, Full Professor at ETH Zurich and founder of INSAIT, who argued that the reported $6M cost of training may be misleading (The Recursive). Vechev has elaborated in more detail at LinkedIn on DeepSeek.

By fostering a culture of efficiency, DeepSeek sets a precedent for sustainable innovation in AI development. By redefining how AI is developed and delivered, DeepSeek has introduced a model that prioritizes accessibility and scalability.

DeepSeek’s success also highlights James Utterback’s observation that industries in the fluid phase are characterized by experimentation and rapidly shifting paradigms. In such phases, dominant designs have yet to be established, and new entrants often redefine the rules of the game. DeepSeek’s claimed reliance on less advanced hardware and efficient training methods challenges the assumptions that cutting-edge infrastructure is essential for competitive AI, showcasing the potential for alternatives.

DeepSeek and the Power of Disruptive Innovation

Clayton Christensen’s concept of disruptive innovation helps explain how DeepSeek has unsettled the AI market. Established companies, in this context of AI an almost funny term for companies like OpenAI or Meta, often focus on sustaining innovations, improving their products for high-end users. In contrast, disruptors typically target overlooked or underserved markets, introducing solutions that are initially “good enough” but evolve to challenge incumbents.

DeepSeek’s R1, built with less advanced Nvidia chips and a leaner development process, fits this pattern perfectly. While industry giants have invested heavily in expensive infrastructure and cutting-edge technologies, DeepSeek’s cost-effective model appeals to a broader range of users, including startups and businesses in emerging markets. This disruption forces incumbents to reconsider their strategies and investments, especially as the performance gap narrows.

DeepSeek’s Business Model: A Blueprint for Accessible AI

DeepSeek’s impact extends beyond technological innovation to the realm of business model innovation, forcing a cultural shift in how AI systems are developed and deployed. Traditional approaches in AI have relied heavily on brute-force computing and massive infrastructure investments. DeepSeek claims to challenge this paradigm, advocating for smarter resource allocation in training and running large language models (LLMs). By fostering a culture of efficiency, DeepSeek sets a precedent for innovation in AI development. By redefining how AI is developed and delivered, DeepSeek has introduced a model that prioritizes accessibility and scalability.

DeepSeek’s Unique AI Business Model

Three key elements of DeepSeek’s business model stand out:

1. Cost Efficiency: Training advanced AI on less expensive hardware reduces development costs, making AI solutions more affordable and democratizing access to advanced technologies. This affects the revenue model of the AI business model.
2. Customer Focus: By targeting cost-sensitive markets, including small businesses and regions underserved by traditional AI providers, DeepSeek broadens its potential customer base. This affects the value proposition of the AI business model.
3. Scalability: Lean development practices position DeepSeek to scale quickly, meeting the growing demand for AI solutions worldwide without the resource-intensive barriers faced by incumbents. This affects the value architecture of the AI business model, particularly the building block of the value chain.

These strategic choices reflect a fundamental shift in how value is created and captured in the AI industry. DeepSeek’s business model, with its emphasis on a cost-efficient value architecture and an accessible value proposition, showcases how companies can rethink the revenue model for AI by optimizing resources instead of relying on expensive infrastructure. They also highlight the importance of aligning innovation with evolving market needs, rather than adhering to established practices.

Key Lessons from DeepSeek’s Market Disruption

DeepSeek’s emergence serves as a compelling case study for understanding the forces of innovation and disruption. While the full scope of its impact remains uncertain, several lessons emerge from this case:

1. Markets Evolve in Phases: As James Utterback’s framework highlights, industries in the fluid phase are marked by experimentation and uncertainty. Dominant designs have not yet crystallized, and the emergence of potential disruptors like DeepSeek underscores the importance of staying flexible and adaptable.
2. Disruption Is Predictable: Clayton Christensen’s theories remind us that incumbents often overlook simpler, cost-effective innovations that target underserved markets. Organizations must actively seek out and embrace these disruptive opportunities to avoid being blindsided.
3. Innovation Extends Beyond Technology: The Business Model Innovation perspective illustrates that success isn’t just about having the best technology. Companies must also innovate how they deliver value, redefine customer segments, and adjust cost structures to align with changing market dynamics.

Cavet & a call to action for Europe

Finally, it’s important to recognize that the information surrounding DeepSeek is still developing, and its achievements reflect the fluid phase of innovation, where new business models and value architectures are continuously explored. For more details see Martin Vechev’s comment on DeepSeek on LinkedIn.

However, It is a pity, however, that Europe, with its strong talent pool and robust research institutions, did not originate an innovation like DeepSeek. Europe has the potential to lead in areas like value-driven business models for AI, but this case underscores the need for a more proactive culture of entrepreneurial risk-taking and resource optimization. In the rapidly evolving AI landscape, seizing such opportunities is key to remaining competitive.

The post How DeepSeek Disrupted AI: A Case Study in Market Impact of (Business Model) Innovation appeared first on Blog on Business Model Innovation.