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Microsoft Celebrates Its 50th Anniversary With Copilot AI Event
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Microsoft: Forget what we said, we are going to keep spending on capex

Last quarter, the company offered guidance that its capex spending would be lower in the second half of the fiscal year. Yesterday it said spending would go up.

Jon Keegan

Yesterday, Microsoft beat earnings and revenue expectations for its first-quarter fiscal year 2026 results. The company delivered another strong quarter, largely in line with last quarter’s results. Investors weren’t exactly pleased, and today the stock is down over 3%. They may have been spooked by talk of even more huge capital expenditure spending.

Microsoft’s closely watched capex spending for the quarter came in at $34.9 billion, a 74% increase year on year. That’s a significant bump, especially considering that last quarter, the company was telling investors that capex growth would be slowing in the second half of fiscal year 2026 (which starts in July).

Microsoft CFO Amy Hood said on the earnings call (emphasis ours):

“With accelerating demand and a growing RPO balance, we’re increasing our spend on GPUs and CPUs. Therefore, total spend will increase sequentially, and we now expect the FY26 growth rate to be higher than FY25. As a reminder, there can be quarterly spend variability from cloud infrastructure build-outs and the timing of delivery of finance leases.”

The “RPO” she is speaking of refers to “remaining performance obligations,” or contracted business that has not yet been realized. It’s a signal of strong demand, and the way you meet that demand is to build more computing capacity, which means higher capex spending.

Microsoft finds itself with $392 billion in RPO, which is up 51% year on year, so demand is indeed rising.

“We will increase our total AI capacity by over 80% this year, and roughly double our total data center footprint over the next two years, reflecting the demand signals we see,” Microsoft CEO Satya Nadella said.

Nadella said the company is building a “fungible fleet” of AI infrastructure globally, and deployed “the world’s first large scale cluster of Nvidia GB300s,” the latest and most powerful chips that Nvidia has on the market. Microsoft currently has over 400 data centers around the globe.

Microsoft also revealed on the call that the company’s earnings net income took a $3.1 billion hit due to its investment in OpenAI. Now that OpenAI’s restructuring is complete, Microsoft’s stake is worth around $135 billion, or about 27% of the company.

OpenAI has also committed to $250 billion worth of spending with its Azure cloud platform, money that was not included in this quarter’s earnings.

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Google testing Gemini app for Mac, aims to compete with Claude Cowork and Codex

Bloomberg reports that Google is testing a new version of its Gemini AI app that runs on Apple’s Mac computers.

Currently both OpenAI’s Codex and Anthropic’s Claude have Mac apps, which allow for deeper AI automation with files on the computer.

Google is testing a feature called Desktop Intelligence, which grants Gemini access to the items on the user’s screen, according to the report. The app is currently in beta testing.

Google is testing a feature called Desktop Intelligence, which grants Gemini access to the items on the user’s screen, according to the report. The app is currently in beta testing.

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Bezos seeks $100 billion for AI-enhanced manufacturing fund, WSJ reports

Amazon founder Jeff Bezos is seeking to raise a $100 billion fund that would purchase manufacturing companies and use AI to automate their work processes, according to a new report from The Wall Street Journal.

The fund would use technology from Project Prometheus, where Bezos was recently named co-CEO. The startup aims to apply the latest generative-AI breakthroughs to reinvent industrial manufacturing.

The $100 billion fund would be used to buy existing manufacturing businesses to transform, per the report.

Bezos has reportedly met with the heads of sovereign wealth funds in the Middle East and recently traveled to Singapore as part of the fundraising effort.

The $100 billion fund would be used to buy existing manufacturing businesses to transform, per the report.

Bezos has reportedly met with the heads of sovereign wealth funds in the Middle East and recently traveled to Singapore as part of the fundraising effort.

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OpenAI acquires Astral, adding talent to Codex team

OpenAI has acquired open-source Python tool developer Astral, bringing aboard additional coding talent for its Codex team.

The company said the acquisition will help Codex “expand beyond coding” by helping address a wider range of development tasks, such as planning, testing, and code maintenance.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

tech

Elon Musk gives an estimate for Tesla’s AI6 chip timeline... while the AI5 is still unfinished

Tesla CEO Elon Musk said yesterday that the company’s AI6 chip could, with “some luck and acceleration using AI,” be finalized and sent to manufacturing by December. For those paying attention, Tesla hasn’t confirmed that its previous chip, the AI5, has reached tape-out, with Musk saying only that the design is in “good shape” and “almost done.” Still, Musk is already talking about subsequent chips AI6, AI7, AI8, and beyond.

Here’s a roundup of when these chips are expected, what they’re supposed to do, and what Musk himself has said about them.

While the AI5 and AI6 will be made by TSMC and Samsung, respectively, Musk has said Tesla eventually aims to manufacture its future AI chips at Tesla’s upcoming Terafab factory in Austin.

tech

NHTSA expands Tesla FSD probe, focusing on whether system can detect when cameras can’t see the road

The National Highway Traffic Safety Administration said it is expanding its probe into Tesla’s Full Self-Driving system into an engineering analysis covering about 3.2 million Teslas, a majority of its vehicles that are on the road in the US, Reuters reports.

The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

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