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Jon Keegan

Digging into Microsoft’s cloud backlog

Microsoft’s Azure cloud computing unit is seeing huge demand. In yesterday’s second-quarter earnings call, Microsoft CFO Amy Hood said the company’s commercial bookings increased 230% thanks to large commitments from OpenAI and Anthropic and healthy demand for its Azure cloud computing platform.

Hood said that the company’s “remaining performance obligations” (RPO) ballooned to a staggering $625 billion, up 110% from the same period last year. How long will it take for Microsoft to fulfill these booked services? Hood said the weighted average duration was “approximately two and a half years,” but a quarter of that will be recognized in revenue in the next 12 months.

Shares of Microsoft tanked today, down over 11%, despite the strong beat on revenue and earnings. The drop puts the stock on track to have its worst single-day drop since March of 2020.

Investors may be concerned that while huge, that extra demand was coming only from OpenAI, an issue that Oracle recently experienced.

But Hood said the non-OpenAI RPO still grew 28% year on year, which reflects “ongoing broad customer demand across the portfolio.”

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Google will supply AI models to Pentagon in classified deal, per The Information

Google has become the latest tech company to ink an agreement to supply the Department of Defense (War) with AI, having reportedly closed a classified deal that allows the Pentagon to use its AI for “any lawful government purpose,” according to The Information.

The Information initially reported talks between the Alphabet-owned company and the US government around two weeks ago, following the messy breakdown of the relationship between Anthropic and the Trump administration — and the rushed OpenAI deal that took its place.

The move has reportedly sparked opposition among Google employees, with the Washington Post reporting that over 600 workers signed a letter to CEO Sundar Pichai to ask him to bar the Defense Department from using the company’s AI models for any classified work.

The Information initially reported talks between the Alphabet-owned company and the US government around two weeks ago, following the messy breakdown of the relationship between Anthropic and the Trump administration — and the rushed OpenAI deal that took its place.

The move has reportedly sparked opposition among Google employees, with the Washington Post reporting that over 600 workers signed a letter to CEO Sundar Pichai to ask him to bar the Defense Department from using the company’s AI models for any classified work.

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Microsoft loses exclusive access to OpenAI’s models and tools while ending revenue-sharing deal with ChatGPT maker

Microsoft shares dropped as it announced a revised agreement with OpenAI.

The amended agreement ends revenue-sharing payments from Microsoft to OpenAI, and also ends Microsoft’s exclusive access to OpenAI’s intellectual property (i.e. models and products).

OpenAI’s revenue sharing with Microsoft will end in 2030, is subject to a total cap, and is no longer dependent on its achieving artificial general intelligence.

Amazon, a likely beneficiary of this lack of exclusivity, initially popped on the news but erased those gains.

This is a developing story.

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China just blew up one of Meta’s key AI bets

China has ordered Meta to unwind its $2 billion acquisition of Manus, a Chinese startup (since relocated to Singapore) that makes AI agents and was central to Meta’s push to turn its massive AI investments into a real business. The move is part of the Chinese government’s effort to stop US firms from gaining access to Chinese talent and intellectual property, as Washington continues to restrict sales of advanced AI chips to Chinese companies.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

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