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Meta's Facebook data center
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Meta is spending more on additional AI infrastructure, and tariffs are pushing the costs even higher

The social media giant raised its 2025 capital expenditures range to $64 billion to $72 billion, from its prior outlook of $60 billion to $65 billion.

Rani Molla

Meta needs more AI infrastructure, so its capital expenditures this year will be higher than it previously guessed. In the company’s latest earnings report, which beat analysts’ expectations, Meta said its 2025 capex bill will now be about $64 billion to $72 billion, a higher and wider range than the $60 billion to $65 billion it had previously forecast.

“We expect this significant infrastructure footprint we are building will not only help us meet the demands of our business in the near term, but also provide us an advantage in the quality and scale of AI services we can deliver,” CFO Susan Li said during the earnings call.

Investors loved Meta’s report, with the stock shooting up 6.8% premarket. Combined with a rosy earnings from hyperscaler Microsoft, the capex announcement also sent AI stocks higher.

The reason for the rising capex bill, though, is not just “additional data center investments to support our AI efforts,” but also “an increase in the expected cost of infrastructure hardware.”

Li wouldn’t break down what portion of the growth was coming from expansion versus higher costs, but did say:

“The higher costs we expect to incur for infrastructure hardware this year really comes from suppliers who source from countries around the world. And there’s just a lot of uncertainty around this, given the ongoing trade discussions. And so that is both reflected in the wider range that we are giving. And we’re also working on our end on mitigations by optimizing our supply chain. And our outlook is really trying to reflect our best understanding of the potential impact this year across all of that uncertainty.”

In other words, tariffs are going to make building AI infrastructure more expensive, since many of the parts and equipment are sourced from places like China. Meta seems game to pay for it anyway.

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OpenAI is shipping everything. Anthropic is perfecting one thing.

The two AI titans are in a race to grow revenues, but they have very different strategies for releasing products. And one approach appears to be winning out.

73%

Here’s another sign Anthropic’s enterprise tools are killing it: The AI firm now captures 73% of all spending among companies buying AI tools for the first time, Axios reports, citing data from Ramp, a fintech company that provides corporate cards and expense management software. That’s up from 50% in January, when it was tied with OpenAI.

As we’ve noted, Big Tech is pivoting from experimentation to revenue — and enterprise is where that shift is playing out.

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Microsoft considers suing Amazon and OpenAI over $50 billion deal

Microsoft may be about to take its biggest AI partner to court, the Financial Times reports.

Microsoft, a longtime backer of OpenAI, is weighing legal action over the latter’s $50 billion deal with Amazon tied to its new Frontier AI product, arguing it could violate a key clause in their exclusive cloud deal requiring OpenAI’s models to run through Azure. Amazon and OpenAI say they’ve found a workaround. Microsoft executives disagree.

“We know our contract,” a source told the FT. “We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them.”

OpenAI, which is eyeing an IPO this year and under pressure to generate more revenue, is trying to loosen Microsoft’s grip as it scales, while Microsoft increasingly sees OpenAI as both a partner and competitor.

“We know our contract,” a source told the FT. “We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them.”

OpenAI, which is eyeing an IPO this year and under pressure to generate more revenue, is trying to loosen Microsoft’s grip as it scales, while Microsoft increasingly sees OpenAI as both a partner and competitor.

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Morgan Stanley says robotaxis could help Tesla sell more cars

Morgan Stanley analysts think Tesla’s robotaxi push could boost more than just a new business line — it could help sell more cars and software, too.

After visiting Giga Texas, analysts said they’re more optimistic about Tesla’s progress toward an unsupervised robotaxi rollout, with improvements in tricky pickup and drop-off scenarios where Tesla doesn’t have as much data from consumer usage. For now, the vast majority of its vehicles still have human supervisors in the front seat, but the analysts say the service is helping Tesla.

“Incremental unsupervised robotaxi miles driven improve the underlying autonomy model, which accelerates the path to personal unsupervised FSD [Full Self-Driving]. This, in turn supports higher FSD attach rates, improves auto demand, and cash flow generation.”

In other words, the more robotaxis drive, the better Tesla’s self-driving gets — and that could make its Full Self-Driving software more appealing and its cars easier to sell, in addition to improving its robotaxi service. Note that Tesla’s vehicle deliveries, which accounts for the lion’s share of the company’s revenue, have dropped two years in a row.

Morgan Stanley also sees a cost advantage. It estimates Tesla’s robotaxis could cost about $0.81 per mile to run today — cheaper than traditional ride-hailing and rival autonomous services — with costs falling further as purpose-built vehicles like the Cybercab scale.

Morgan Stanley maintained its equal-weight rating and $415 price target, about 4% above where the stock is currently trading.

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