There is a prevailing narrative in the tech world that the “AI race” is a winner-take-all battle for the most users. We see the headlines about ChatGPT’s market share and the frantic race to onboard millions of free users. But I believe this perspective is fundamentally flawed.
In traditional software, adding another user is often a “zero marginal cost” game. You build the software once, and every new user is pure profit. AI is different. Every query, every interaction, and every generation costs compute. Having the most users doesn’t just mean you’re winning; it means you are incurring the highest operational costs. If you aren’t monetizing those users effectively, you aren’t winning—you’re just burning cash.
The Profitability Gap
We’ve already seen the cracks in the “most users wins” theory. ChatGPT no longer commands a 50% share of users, and even if it did, that wouldn’t guarantee long-term dominance.
Look at the landscape: Claude has far fewer users than ChatGPT, but it is increasingly becoming the tool of choice for corporate environments. Why? Because corporate users are far more profitable. They generate significantly more revenue per user than the average consumer using a free chatbot. In the AI era, revenue per user—not just total user count—is the metric that matters.
Why Google Has the Advantage
Ultimately, I believe Google will win this race. They aren’t just playing for market share; they are playing for sustainability.
Google has something its competitors are still struggling to build: an established, high-margin search revenue model. They don’t need to rush to monetize AI at the expense of quality or stability. They can take their time.
More importantly, Google has an extremely large, captive user base that it can simply “switch on” to AI. They don’t need to convince users to download a new app or change their habits. They have:
- Search: The undisputed leader in information retrieval.
- Google Workspace: Deeply embedded in the daily workflows of millions of businesses.
- Gmail & Google Drive: The backbone of personal and professional data.
- Cloud: The infrastructure required to scale AI sustainably.
Google has the revenue to fund the compute, and they have the time to integrate AI into the products people already use every day. You can see this advantage reflected in their capital raising—increasing their investment significantly to fuel this transition. The market recognizes that Google isn’t just participating in the AI race; they are building the foundation for the long term.
The race isn’t about who gets to a billion users first. It’s about who can build a sustainable, profitable AI ecosystem. My money is on Google.