Apple’s AI strategy comes under focus as tech giants ramp up spending in the race for AI dominance
OpenAI’s Stargate project was announced with an ambition to invest $500bn over four years in AI infrastructure. OpenAI and its partners have subsequently expanded the planned data-centre footprint, with more than $400bn of investment and nearly 7GW of capacity under development by Sept 2027. Alphabet has raised its expected 2026 capital expenditure to $195-205bn, driven by the need for servers, data centres and other technical infrastructure. In the first six months of 2026 alone, it spent $80.6bn on capital expenditure. Meta expects to spend $130-145bn on capital expenditure this year, with AI infrastructure a principal driver. Amazon expects to spend roughly $220bn, much of it on AI-related infrastructure, while Microsoft expects around $190bn in capital expenditure in calendar 2026. Anthropic has reportedly signed a $45bn, six-year agreement to rent computing capacity from Nscale. It has also committed billions more to computing through deals involving Amazon, Google and SpaceX. xAI, meanwhile, raised $20bn in Jan and says its Colossus supercomputers had crossed the equivalent of 1mn H100 GPUs by the end of 2025.
In Jan, Apple and Google announced a multi-year collaboration under which Google’s Gemini models and cloud technology would underpin the next generation of Apple’s foundation models. The numbers explain the intensity. Google is hardly sitting back. Even the younger AI companies are thinking in wartime numbers. That is precisely where this argument gets interesting. Apple has a long history of arriving late to technologies and then redefining them. Tim Cook once put it bluntly: “We weren’t first on the MP3 player; we weren’t first on the tablet; we weren’t first on the smartphone. His argument was that Apple sought to create products that mattered, rather than merely products that appeared first.
Its June 2026 announcements also showed a much more ambitious Apple Intelligence, including a completely redesigned Siri. As of June 2026, it held nearly $147bn in cash and marketable securities. This is therefore not simply a software race. Apple therefore faces a delicate calculation.
Many call this clash the “AI Third World War”. The phrase is deliberately dramatic. There are no armies or battlefields, but the stakes are comparable to a technological war: who controls the intelligence layer that may sit above operating systems, search, software, commerce and, eventually, much of the digital economy? It is a race for chips, electricity, data centres, engineers, capital and customers. Whoever possesses enough computing power can train bigger models; better models attract more users; more users generate revenue and data; revenue finances more computing. The danger for a loser is not merely having an inferior product. It is being locked outside the ecosystem. That is why the AI Third World War metaphor is useful. The competitors are trying to establish a new technological order before everyone else does. And then there is Apple. The striking thing about Apple is not that it has ignored AI. It plainly has not. Its research and development spending has been rising sharply, with the company explicitly attributing part of the increase to infrastructure and AI investment. But Apple has not fought the AI war in the way OpenAI, Google, Meta or xAI have. It has not tried to build the world’s biggest frontier model at almost any cost. Instead, it has chosen a strikingly different strategy: partner where necessary and integrate where it has an advantage. The iPod was not the first MP3 player. The iPhone was not the first smartphone. Yet Apple understood that winning a platform is about much more than inventing a category. It is about integrating hardware, software, services, design, distribution and a compelling user experience. Apple may be applying the same playbook to AI. Why spend hundreds of billions discovering which architecture, model and business model will ultimately win if competitors are willing to spend that money for you? OpenAI, Google, Anthropic, Meta and xAI are educating consumers, developing the infrastructure, recruiting the talent, and testing the economics. They are, in effect, fighting the early battles of the war. Apple can watch. And watching is not necessarily weakness. It can be strategic patience. AI could produce an even stronger moat if agents become the primary way people interact with software. Wait for the fog to clear and it may enter a mature market with enormous distribution power. Wait too long and there may be no meaningful place left for it to enter. That is the paradox at the heart of the AI Third World War. The obvious question is who will win it? OpenAI? Google? Anthropic? Meta? xAI? Or perhaps some company that has not yet emerged? But the more interesting question is different: who can win without fighting? Apple has the cash, the customers, the chips, the operating systems, and the brand to enter this war on almost any scale it chooses. So its relative restraint cannot simply be explained by lack of resources. Perhaps Apple is waiting for the battlefield to reveal its winner. And perhaps, when the smoke clears, the company that spent the least on the war could turn out to be one of its biggest beneficiaries. Our Silicon Valley correspondent contributed to this analysis Get the latest technology news and updates. Download the TOI App.
More than 2.5bn active Apple devices put the company in an extraordinary position if AI eventually becomes a mainstream interface to computing. Because they attract developers and users early, platforms become powerful precisely. Because users and advertisers followed it, search gave Google enormous power. Because developers followed the users, mobile gave Apple and Google extraordinary control.
The technology industry is witnessing a battle unlike any before. OpenAI, Google, Anthropic, Meta, xAI and Microsoft are spending money on artificial intelligence at a scale that would have seemed absurd even a few years ago. They are not merely competing to make the smartest chatbot. They are fighting to control what could become the next great platform of computing. Apple has something the AI labs desperately need: distribution. If one or two foundation-model platforms emerge as clear winners, Apple could potentially partner with them and put their intelligence layer into the hands of hundreds of millions of users through devices it controls from silicon to operating system. That may explain why Apple’s current strategy looks less like surrender than hedging. Its new AI architecture combines its own foundation models with Google’s Gemini, while running capabilities on devices and through Apple’s Private Cloud Compute infrastructure. But there is a serious risk to waiting. If an AI company establishes itself as the indispensable interface between humans and computers, its moat could become almost impossible to breach.