Did Sam Altman Trick Google Into Destroying Its Own Business?
In a nutshell
This is not a news briefing. It is a provocation — and it deserves to be taken seriously.
A Fortune commentary published this week makes the most explosive argument in AI journalism of 2026. We do not endorse it. We think it deserves a European reading.
The Argument
What we are witnessing right now is a massive, multibillion-dollar strategic miscalculation led by Sam Altman of OpenAI. For the past three years, Altman has built a market consensus around AI as an intelligent mind capable of running global commerce. In reality, AI is not a thinking intellect; it is an expensive, automated pattern-matching system prone to significant errors and inconsistencies. Yet, through a masterful reframing, Altman reshaped the market — and Sundar Pichai of Google responded in ways that may prove catastrophically self-defeating.
The argument in plain terms: Altman convinced the world — and specifically Pichai — that AI was about to replace human intelligence at scale. Pichai panicked. Google embedded AI Overviews into Search. AI Overviews answer queries directly — reducing the click-through traffic that generates Google's $237 billion annual advertising revenue. Google is, on this reading, paying $190 billion per year to destroy its own business model.
No amount of venture capital spin can alter the basic math of a business model that burns billions to eliminate its own revenue stream. Sundar Pichai and Sam Altman are building a spectacular house of cards. When the artificial valuations collapse and the capital expenditure dries up, the world will realize that Silicon Valley did not invent a new mind — it merely engineered one of the most expensive speculative overreaches in corporate history.
The Evidence That Supports It
The data we have reported at gafam.ai over the past month supports parts of this argument:
AI Overviews now appear in 25.8% of all US searches. Organic click-through rates have dropped as much as 61% since AI Overviews expanded. European publishers are already experiencing this traffic loss as a present reality, not a future risk.
Google's Q1 2026 Search revenue grew 19% year-over-year to $60.4 billion. But that growth is driven by AI lifting query volume and improving ad conversion rates — not by the organic traffic model that built Google's business over 25 years. The question the argument raises is legitimate: what happens to Search revenue when AI Overviews are good enough to answer not just simple queries but complex, high-intent, high-value queries — the ones that currently drive the most advertising revenue?
The Evidence That Challenges It
The argument has real weaknesses that the Fortune commentary does not fully address.
Google's $462 billion cloud backlog — nearly doubling in one quarter — suggests the AI infrastructure Google is building serves a commercial purpose beyond Search.
Gemini Enterprise paid monthly active users grew 40% quarter-over-quarter. Google Cloud revenue grew 63%. These are not the metrics of a company destroying itself.
The more precise framing is not that Google is cannibalising its business — it is that Google is attempting a controlled transition from advertising on search results to advertising on AI answers. Whether that transition succeeds at the revenue scale required is the genuine strategic question. The Fortune argument assumes it will fail. Google's Q1 numbers suggest it has not failed yet.
The OpenAI Code Red — The Other Side of the Story
Three years ago, Google sounded a "Code Red" over ChatGPT, with CEO Sundar Pichai warning it could threaten the future of Search. Now Sam Altman is sounding an alarm of his own — this time over Google's Gemini 3 comeback and an increasingly fierce frontier AI model race. In an internal memo to employees, Sam Altman said he was declaring a "Code Red" to marshal more resources toward improving ChatGPT as competitive pressure from Google and other AI rivals intensifies.
The irony is precise. In 2022, Pichai declared Code Red because of ChatGPT. In 2025, Altman declared Code Red because of Gemini. Both men have spent three years in a mutual panic — spending hundreds of billions reacting to each other's moves.
If the Fortune argument is correct, Altman won that panic competition — by panicking Pichai into a strategically self-defeating response. But the Code Red Altman declared suggests he does not feel like he won. He feels the pressure of a Google that — at I/O 2026 — demonstrated Gemini 3.5 Flash deployed to billions simultaneously, Gemini Spark as a personal agent, and a cloud backlog that dwarfs anything OpenAI can claim.
The European Perspective
The Fortune argument — that Altman masterfully reframed AI and panicked Pichai into self-destruction — is the most European-compatible AI analysis published in 2026. It treats AI not as inevitable progress but as a constructed narrative with commercial interests behind it. That is how European regulators and European civil society have approached AI from the beginning. The EU AI Act was not written by people who believed AI was an intelligent mind. It was written by people who believed AI was a powerful pattern-matching system that needed governance. If the Fortune argument is correct — if AI is expensive automated pattern-matching prone to significant errors — then European AI regulation is not overly cautious. It is precisely calibrated. Brussels wrote the right law for the right technology. It just did not write it for the narrative Altman sold to Pichai. gafam.ai will be watching.
We are not first. We are right.
SOURCES
— Fortune: How Sam Altman fooled Sundar Pichai — and pushed Google into cannibalizing itself
— Yahoo Finance: How Sam Altman fooled Sundar Pichai
— Fortune: Sam Altman declares Code Red as Google's Gemini surges