When users search “how does ChatGPT work,” they’re asking a technical question. But OpenAI and Google are giving two radically different business model answers — and the gap between those answers will determine who controls the next decade of enterprise AI spending.
OpenAI’s business model is built on deliberate opacity. ChatGPT’s transformer architecture — the attention mechanisms, the RLHF training loops, the inference pipeline — is intentionally abstracted away from the end user. You don’t need to understand how it works. You pay for the output. This is a classic platform play: own the interface, own the relationship, monetize through subscriptions and API calls regardless of what happens underneath. ChatGPT’s consumer product charges $20/month for Plus, while the API layers enterprisepricing on top. The “how it works” question becomes commercially irrelevant to OpenAI’s revenuemodel. What matters is that it works well enough to justify the renewal.
Google’s Counter-Bet: Transparency as Distribution
Google’s approach with Gemini is architecturally similar but strategically inverted. Google actually wants you to understand how its AI works — because understanding drives integration, and integration drives dependency on Google Cloud, Google Workspace, and Google’s advertising infrastructure. Google publishes technical papers, releases model weights through select programs, and embeds Gemini directly into tools millions of businesses already use daily. The business model logic: if IT decision-makers understand the architecture, they’re more likely to build on Google’s stack. Comprehension becomes a sales motion.
3 Business Model Bets Being Placed Right Now
Bet 1: Subscription vs. Ecosystem Lock-In. OpenAI monetizes the question “does it work?” Google monetizes the question “what else can it connect to?” These are fundamentally different revenue architectures. OpenAI needs churn to stay low. Googleneeds surface area to expand.
Bet 2: Model Ownership vs. Model Integration. OpenAI controls its own training infrastructure and treats model capability as its core moat. Google treats model capability as a feature of a broader platform moat. When ChatGPT improves, OpenAI captures the value directly. When Gemini improves, Google captures it across seventeen different product lines simultaneously.
Bet 3: Enterprise Trust Through Simplicity vs. Enterprise Trust Through Familiarity. OpenAI is betting that enterprise buyers want a clean, purpose-built AI tool. Google is betting they want AI that feels like an extension of software they already trust and pay for. Both bets are rational. Neither is obviously correct.
What This Means for Business Model Builders
The “how does ChatGPT work” question is a proxy for a deeper strategic question every business now faces: do you build your AI layer on top of a product (OpenAI’s model) or inside a platform (Google’s model)? The answer determines your switching costs, your data exposure, and your negotiating leverage for the next five years.
OpenAI and Google aren’t just competing on benchmark scores. They’re competing on which business model logic becomes the default mental model for enterprise AI adoption. Right now, that race is genuinely too close to call — which is exactly why the search volume on this question keeps climbing.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
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