The Information Machine
Concluded·New·in the edition since 4 Sep 2026·6 sources·updated 4 Sep 2026

OpenAI's Mac purchases for computer-use agents

The gist

OpenAI Buys Tens of Thousands of Macs for Computer-Use Agent RL Training

AI lab bulk orders have become a material driver of Apple's Mac revenue across consecutive quarters. The reinforcement learning workflow for computer-use agents requires running many independent agent instances simultaneously, making consumer-grade Apple hardware relevant to frontier AI infrastructure at scale.

The full picture

OpenAI has purchased tens of thousands of Mac minis and Mac Studios to train computer-use agents through reinforcement learning, and is seeking to acquire more. Other AI labs are making comparable purchases. The agents autonomously handle multi-step tasks by observing a computer screen, choosing an action, and learning from the outcome. Supply of the most powerful Mac configurations has been constrained for months by a memory chip shortage. Anthropic meets similar needs by renting Mac capacity through AWS rather than buying hardware outright. The purchases register in Apple's financials: Mac revenue reached $10.3 billion in Apple's June quarter, up 29% year-over-year and faster than every other reported Apple product category. Earlier in 2026, Apple reported $8.4 billion in Mac revenue for its March quarter, up 6% year-over-year, and cited AI-driven demand as a factor behind the result, which came in above Wall Street expectations of the low $8 billion range.

How it developed
First in the edition · 4 September 2026
31 August 2026

Reporting published September 3 showed OpenAI has bought tens of thousands of Mac minis and Mac Studios to train computer-use agents through reinforcement learning, with other AI labs making comparable purchases amid a months-long shortage of high-memory configurations.

The buying registers in Apple's financials: Mac revenue reached $10.3 billion in Apple's June quarter, up 29% year-over-year, and Apple had already cited AI demand as a factor behind a March quarter result of $8.4 billion that came in above analyst expectations.

Sources
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