The fuel for the AI boom driving the markets is advertising. It is also an existential risk.

With OpenAI’s recent release of its AI browser, the historic level of capital expenditures being made in the current AI arms race may accelerate even further, if that is possible.

From the reciprocal, and some have said circular, nature of hundreds of billions in commitments in investment, tied to future chip purchases, to the extent to which GDP growth is reliant on this boom, some have said this is a bubble. A Harvard economist estimates 92% of US GDP growth in the first half of 2025 was due to investment in AI.

But much more needs to be understood about the connection between the breakneck investment in AI and the business models that underpins the entire economy: the advertising technology (Ad Tech) industrial complex.

For the past 25 years the infrastructure of the internet has been engineered to extract advertising revenue. Search Engine Marketing, the advertising business model at the core of Google, is perhaps the greatest business model of all time. Meta’s advertising business, based on engagement and attribution, is a close second. And right behind both of these is Amazon’s advertising business, powered by its position as the largest online retailer. While a smaller portion of Amazon‘s topline, its highly profitable advertising business makes up a disproportionate percentage of Amazon’s profits. So much so that nearly every major retailer has spun up their own version of retail media networks, all driving significantly to the bottom lines and market capitalization of massive companies like Walmart, Kroger, Uber (and UberEats), Doordash and many more.

In fact, these platforms have been using AI to refine their advertising business models for years, in the form of algorithmic models that powered their search and recommendation engines, and to increase engagement and better predict purchase decision, seeking an ever-greater share of all commerce, not just what is typically thought of as “advertising.” These three multi-trillion-dollar market cap companies either
wholly, or substantially, derive their profits from advertising. And now they are using some portion of those historically profitable advertising revenues to fuel infrastructure investments at a level the world has not seen outside of War Time spending by governments.

But at the same time, the latest wave of AI has the potential to disrupt the very same trillions in market cap that is fueling it. AI will, without question, change how people search (Google), shop (Amazon) and are entertained (Meta). Answers delivered without clicking around the web. AI-assisted shopping. Infinite personalized content creation.

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If AI represents such a potential existential risk, why are Google, Meta and Amazon such a huge part of the current arms race to invest in AI? The “moonshot” outcome of would be that achieving Artificial General Intelligence, or Super Intelligence, AI that can do anything a human can, but better, would unlock so much value that it would dwarf any investment.

But there is more immediate urgency to protect, or disrupt, the advertising business model fueling the trillions in market cap and hundreds of billions of current investment, before someone else does. While the seminal paper that launched this phase of AI, “Attention is All You Need” was written by mostly Google researchers, it was OpenAI and Microsoft, and now Grok as well, that launched the current AI arms race. And they are not remotely as dependent on the current advertising industrial complex. In fact,
Sam Altman has called the feeds of the major platforms using AI to maximize advertising dollars, “the first at-scale misaligned AIs.” He is clearly stating which businesses he believes OpenAI is trying to disrupt.

This time is different, but it also comes with different risks. The major difference with the current fever in infrastructure investment vs the dotcom bubble of 2000, is that in large part the companies funding it are among the most profitable companies in the world. And so far, there has not been indications of cracks in the business model of advertising that is both funding their investments, and their market capitalizations (along with so many massive companies people wouldn’t think about being in the advertising business).

But if AI does disrupt, or even break, the current advertising model, the shock to the economy and markets would be far greater than most could imagine.

Google, Meta and Amazon are still best positioned to create new business models, and as mentioned, have been using AI for far longer to support their advertising business models with great success.

However, fundamentally changing the way people interface with search, commerce and content online will require just that, entirely new revenue models, maybe, hopefully, some that are aligned, that are not advertising based. But whatever the model, perhaps it is helpful to consider that the justification in AI
infrastructure spending may not be to just unlock new revenue, but to protect the business models that make up a much more significant portion of the market capitalization of public companies than most people are aware.