Google Goes All In: Alphabet to Invest $180 Billion in AI
Alphabet (Google) has announced an unprecedented increase in capital expenditure: in 2026, its AI investment will range from $175 billion to $185 billion. Fourth-quarter results beat analyst expectations. Annual revenue topped $400 billion for the first time, and the cloud division grew 48%. CEO Sundar Pichai compared the scale of the current shift to the industrial revolution. He stressed that the advantage in computing power puts the giants practically out of reach for small startups. The largest funds have already begun reallocating portfolios toward Alphabet, seeing it as the main beneficiary of the new technological era.
AI-processed from 36Kr (36氪); edited by Hamidun News
Alphabet has placed a bet that is hard to overstate. In early 2026, the company announced it would put between $175 billion and $185 billion into artificial intelligence. That is nearly double last year's capital expenditure and a third above Wall Street's boldest forecasts. The decision came against a backdrop of record financial results: annual revenue crossed $400 billion for the first time in the company's history, and the cloud business grew 48%, a pace analysts clearly underestimated.
To understand the logic, go back to what happened at Google Cloud in the fourth quarter of 2025. The cloud division brought in $17.66 billion in revenue against expectations of $16.
2 billion, and the segment's operating profit doubled year over year to $5.3 billion. This is more than a good quarter: it signals that the cloud business has passed its break-even point and now generates steady cash flow.
Cloud's backlog grew to $240 billion, doubling in a year. It is this documented demand, not an abstract faith in the future of AI, that became the main argument for the unprecedented investment. As CEO Sundar Pichai put it, the company is spending to meet customer demand that already exists, not paying in advance for vague expectations.
The scale is best illustrated not by individual figures but by their sum. Just four tech giants, Alphabet, Meta*, Microsoft and Amazon, will spend around $650 billion on AI infrastructure this year. That is comparable to the GDP of a mid-sized European economy.
Alphabet, for its part, is already raising additional funding: it placed $20 billion in dollar-denominated bonds and received orders for $100 billion, five times the amount offered. It is also working on entering the Swiss and UK debt markets, where it is considering issuing century bonds, an instrument not used in the tech industry since the dot-com bubble of the late 1990s. The mere appearance of such an instrument suggests Alphabet is looking at a horizon measured in decades, not quarters.
The reaction from capital markets was telling. In the third quarter of 2025, Berkshire Hathaway, a company that has traditionally shunned the tech sector, bought into Alphabet shares, making them one of the largest positions in its portfolio. Asian institutional investors followed Buffett.
Chinese manager Dan Bin, through Oriental Harbor, built a $406 million position in Google shares, about 31% of the fund's U.S. assets, and then doubled his exposure again through a 2x leveraged Google ETF.
Jinglin Assets made a similar move: the fund added nearly a million shares, making Google its top holding with a market value of $842 million. Such a concentration of big money in a single stock is rare even for the most committed thematic investors.
In a speech at the AI summit in India, Sundar Pichai found a formulation that captures the moment most precisely: in his words, what is happening is comparable to the industrial revolution, only ten times faster and at ten times the scale. Behind that comparison lies an important thesis, which Pichai stated directly: the advantage in computing power makes tech giants practically unreachable for startups. Competition in AI rests on three foundations, compute, algorithms and data, and none of them scales in a garage. This structural advantage of the big players will only grow as the capital expenditure gap widens.
All of this poses a serious question for the market as a whole. The current wave of valuations of small AI companies, in some cases reaching hundreds of billions of dollars on revenue below $1 billion, creates exactly the illusions that the history of technology cycles teaches us to avoid. When the largest players spend sums comparable to the GDP of states on building infrastructure, expecting small teams to compete with a smarter algorithm becomes less and less realistic. Alphabet has made its bet: all in, deliberate, and backed by financial results. The question now is how soon the market will stop pretending that the rules of this game remain the same.
*Meta is designated an extremist organization and banned in Russia.
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