AI Business
Microsoft Feared OpenAI Would Storm Off to Amazon and Shit-Talk Azure. It Happened Anyway.
Court documents from Musk v. Altman reveal Microsoft execs in 2018 feared OpenAI would storm off to Amazon in a huff and shit‑talk Azure. Eight years later, those fears came true within 24 hours.
The Smoking‑Gun Email
January 2018. Microsoft CTO Kevin Scott wrote an internal email weighing the risks of not funding OpenAI's compute demands. His conclusion was blunt and prophetic. "I guess the other thing to think about here is the PR downside of us not funding them, and having them storm off to Amazon in a huff and shit‑talk us and Azure on the way out," Scott wrote, The Verge reported from documents revealed during the Musk v. Altman trial. That email — now public — captures the moment Microsoft saw OpenAI as a reputational risk worth paying to neutralize.
The $300M Ask Microsoft Almost Walked Away From
The court filings — drawn from over 200 internal documents reviewed by GeekWire — trace the partnership's origins. In summer 2017, Sam Altman told Satya Nadella that OpenAI needed $300 million at Azure list prices. Azure chief Jason Zander pushed back: "For those numbers to make sense we'd have to be generating significant incremental revenue directly due to the deal ($500M+)," GeekWire reported. Microsoft didn't want to be what Scott later called "a bucket of undifferentiated GPUs," GeekWire confirmed.
Dota 2 Bots and Nadella's Congratulations
OpenAI's Dota 2 bot beating a professional player changed the tone. Nadella personally congratulated Altman. Altman pitched an even larger partnership. Scott acknowledged OpenAI's pulling power: "They are building credibility in the AI community very fast, recruiting well, and are going to be an influential voice," The Verge reported.
"Highly Dismissive" — The Mea Culpa
By 2019, Scott admitted he'd been "highly dismissive" of game‑playing AI, GeekWire reported. What changed? NLP breakthroughs. The models were reading, writing, and reasoning. Microsoft also grew alarmed about falling behind Google. One month after Scott's internal memo, which 2 reviewed, Microsoft announced its $1 billion investment, GeekWire confirmed.
2026: The Fears Come True — Within 24 Hours
On April 27, 2026, Microsoft and OpenAI ended their exclusive cloud agreement. The next day, OpenAI went live on Amazon Bedrock with GPT‑5.5, Codex, and Bedrock Managed Agents. AWS confirmed OpenAI usage now counts toward existing AWS cloud commitments. OpenAI told employees the Microsoft deal "limited our ability to meet enterprises where they are — for many that's Amazon Bedrock."
The Multi‑Cloud Marketplace Era
AWS customers can now access OpenAI's frontier models through the same Bedrock APIs they use for Claude, Llama, and Mistral. Meanwhile, Microsoft deepened its Anthropic relationship. The Verge noted both clouds now carry both labs. The era of one cloud, one model is over — cloud providers are distribution layers and the AI labs compete for shelf space.
Sources
Sep 1, 2026
Hardware Requirements for Fine‑Tuning Open‑Source AI Models: Choosing the Right Computing Power
Open‑source models like Llama, Mistral, or Falcon have given developers incredible freedom. You no longer have to wait for access to someone else's API. You can take a pretrained model and fine‑tune it for your own tasks. But here comes the real challenge: fine‑tuning can require significant computing resources.
Aug 21, 2026
How to Benchmark LLMs: Five Mistakes That Skew Your Results
Most in‑house model comparisons are run in a way that guarantees a misleading answer. Not a wrong one exactly, and rarely a dishonest one. Just an answer that would have come out differently if the person running it had pressed enter a second time.
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Infrastructure for Continuous Web Data Collection
A one‑off scrape is a weekend project. Running the same collection job every hour for three years is an infrastructure problem, and most teams underestimate how different those two things are. Continuous collection breaks in ways that batch jobs don't. Sites redesign their markup, rate limits tighten overnight, and the IP pool that worked in March gets flagged by June. The stack has to absorb all of it without a human watching the logs. Here's what the working parts look like when a pipeline actually holds up.
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