Google goes all in: Alphabet invests $180 billion in AI

Alphabet has made a bet that is difficult to overestimate. At the beginning of 2026, the company announced that it would direct between 175 and 185 billion dollars towards artificial intelligence development—a sum that nearly doubles last year's capital expenditures and exceeds even the boldest Wall Street forecasts by a third. This decision came against the backdrop of record financial results: the corporation's annual revenue crossed the 400 billion dollar mark for the first time in history, and the cloud business demonstrated growth of 48%—a pace that analysts clearly underestimated.

To understand the logic of what's happening, we need to look back at what occurred with Google Cloud in the fourth quarter of 2025. The cloud division generated 17.66 billion dollars in revenue against expected 16.

2 billion, while the segment's operating profit doubled year-over-year and reached 5.3 billion. This is not merely quarterly success—it is a signal that the cloud business has crossed the break-even point and now generates a sustainable cash flow.

Cloud's order backlog grew to 240 billion dollars, doubling in a year. It was this documented demand, not an abstract belief in AI's future, that became the main argument for unprecedented investments. As CEO Sundar Pichai stated, the company is investing money to meet already existing customer demand, not advancing hazy expectations.

The scale of what's happening is best illustrated not by individual figures, but by their combination. Only four technology giants—Alphabet, Meta, Microsoft, and Amazon—will spend roughly 650 billion dollars collectively on AI infrastructure this year. This is comparable to the GDP of a mid-sized European economy.

Alphabet, for its part, is already attracting additional financing: the company placed dollar-denominated bonds worth 20 billion dollars, receiving bids totaling 100 billion—a fivefold excess of demand. In parallel, a debt market entry in Switzerland and the UK is being considered, where the issuance of century bonds—an instrument not used in the technology industry since the late 1990s internet bubble—is being explored. The very fact of such an instrument's emergence suggests that Alphabet is looking at a horizon measured in decades, not quarters.

The market's reaction proved symptomatic. In the third quarter of 2025, Berkshire Hathaway—a company traditionally avoiding the technology sector—entered Alphabet shares, making them one of the largest positions in its portfolio. Asian institutional players followed Buffett.

Chinese manager Dan Bin through Oriental Harbor formed a position in Google shares worth 406 million dollars—about 31% of all the fund's American assets—and then additionally doubled his exposure through a double-leveraged ETF on Google. Jinglin Assets executed a similar maneuver: the fund increased its stake by nearly a million shares, putting Google in first place in the portfolio with a market value of 842 million dollars. Such a concentration of major capital in a single holding is rare even for the most convinced thematic investors.

Sundar Pichai at his speech at an AI summit in India found a formulation that most accurately captures the current moment: according to him, what is happening is comparable to the industrial revolution, only ten times faster and ten times larger in scale. Behind this comparison lies an important thesis that Pichai stated directly: advantage in computational power makes technology giants practically unreachable for startups. Competition in AI is built on three foundations—computational resources, algorithms, and data—and none of them scale in a garage. This structural advantage of major players will only grow as the gap in capital expenditures widens.

All of this raises a serious question for the market as a whole. The current wave of valuations for small AI companies, in some cases reaching hundreds of billions of dollars with revenue below one billion, creates precisely the illusions that the history of technological cycles teaches to avoid. When the largest players spend sums comparable to state GDPs on infrastructure construction, the expectation that small teams will be able to compete through a smarter algorithm becomes increasingly unrealistic. Alphabet has made its bet—all-in, consciously and backed by financial results. Now the question is how quickly the market will stop pretending that the rules of this game remain unchanged.