Google’s core businesses still anchor the story, with dominance in internet search, a near lock on online video via YouTube and a massive cloud-computing arm. Artificial intelligence now runs through all three, transforming how search results appear, how videos are recommended and how cloud customers build and deploy their own models.
To fuel that transition, Google has poured about $US144bn ($200bn) into capital expenditures over the past two years, a sum that rivals the annual tech budgets of entire sectors. The group has also mapped out roughly $US490bn in additional capital spending for the next two years, showing that the AI buildout is just getting started.
Investors are increasingly comfortable with those eye-watering numbers because Google is pursuing what many describe as a “full-stack” AI approach. The company aims to own or tightly control everything from the underlying chips and data centres to the software models and user-facing products.
Recent financial results begin to reflect that strategy, with AI-infused services driving engagement and cloud demand. Analysts also point to Google’s plans for a significant capital expenditure bump in 2027 as a sign that the company expects computing needs to keep climbing rather than flattening as AI adoption spreads.
Those spending plans suggest the battle for AI leadership is shifting from splashy product demos to sheer compute muscle and infrastructure depth. Google’s willingness to commit hundreds of billions of dollars over several years is a direct challenge to chip suppliers and cloud rivals that also want to own the AI era.
The scale of its investment signals confidence that AI-enhanced search, video and cloud will justify the costs and support a richer valuation. Whether demand for AI services can keep pace with the capital outlay is now the key tension shaping Google’s race for the market-cap crown.
