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Apple Headquarters in Cupertino of California
Apple is thinking outside the box (Tayfun Coskun/Getty Images)
Apple of another’s AI

Apple is the only Big Tech company whose capex declined last quarter

One of these companies is not like the others.

Rani Molla

If you’ve been following the Big Tech companies’ earnings reports, you know that they’re pouring more than ever into capital expenditure to pursue their AI futures.

Amazon, Alphabet, Meta, and Microsoft all spent record sums last quarter on purchases of property and equipment — largely tied AI chips and data centers. And for the companies that offered forward-looking guidance, their capex plans for the year blew analysts’ already generous estimates out of the water.

Amazon expects its 2026 capex to surge to $200 billion. Google is aiming for $175 billion to $185 billion. Meta estimates it will spend between $115 billion and $135 billion. All of those figures came in well above expectations and, for the most part, have weighed on their stocks. Microsoft didn’t give a formal 2026 capex outlook, but if its peers are any indication, spending will likely exceed the roughly $114 billion Wall Street expects for the calendar year.

Of the Big Tech companies, just one stands apart this earnings season. Apple’s capital expenditure, already just a fraction of its peers, actually declined in the December quarter from a year earlier.

For better or worse, Apple has struck its own path with AI. As we’ve argued before, it’s embracing AI but is not an AI company. Instead, it’s chosen a hybrid model, relying on both first- and third-party data centers — a move that keeps a significant amount of infrastructure spending off its balance sheet. And while Apple has said it expects capex to increase as it invests more heavily in AI, particularly to support its Private Cloud Compute, those outlays remain minimal compared with its peers.

You can see that approach reflected in Apple’s decision to use Google’s Gemini, rather than an in-house model, to power the next generation of Siri and Apple Intelligence.

The Google deal, reportedly worth about $1 billion a year, gives Apple access to a top-tier AI model for pennies on the dollar compared to what other Big Tech companies are spending to build their own.

Of course, it also means Apple won’t fully own a technology that some see as powering the next industrial revolution. But if that revolution fails to materialize — or takes longer than expected — Apple won’t be left holding the most expensive bag in Silicon Valley history.

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Tesla and SpaceX to jointly run “most epic chip-building exercise in history by far”

In the latest instance that Elon Musk views Tesla and SpaceX as effectively one company, the CEO of both announced Saturday that the two firms will join forces on his Terafab project — what Musk says will be “the most epic chip-building exercise in history by far.”

Many of the details mirror what we reported last week, with one major addition: SpaceX will play a leading role.

Terafab, planned for the north campus of Tesla’s Gigafactory Texas, aims to vertically integrate the entire chipmaking process, from design and fabrication to testing and packaging. The goal is to supply AI chips to Tesla, SpaceX, and its subsidiary, Musk’s AI company, xAI, whose suppliers Musk said will be unable to handle their demand in “three or four years.” While Tesla has designed its own chips, it has never manufactured them.

Musk said the facility is intended to produce up to 1 terawatt of compute annually. The plant will manufacture two types of chips: inference chips for Tesla’s robotaxis and Optimus robots, and custom AI chips intended for space-based applications like solar-powered AI satellites. According to Musk, roughly 80% of the compute will be allocated to space-related uses, with the remaining 20% supporting projects on Earth.

Morgan Stanley has estimated the project could cost Tesla an additional $35 billion to $45 billion in capital expenditures, though now perhaps some of that capex might be shared with SpaceX. Like many of Musk’s ambitions, the project is enormous in scale and will likely to take years to complete — potentially into the end of the decade or beyond.

tech
Jon Keegan

White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

tech
Jon Keegan

WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

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