
Microsoft's AI revenue reportedly depends on OpenAI for 70 percent
Quick Answer
Microsoft's AI revenue heavily relies on OpenAI, accounting for 70% of its $24.1 billion AI earnings in FY ending June 2026.
Quick Take
CEO Satya Nadella projected annual AI revenue could exceed $37 billion, highlighting a shift towards open-weight models despite past vendor lock-in strategies.
Key Points
- OpenAI contributed $24.1 billion to Microsoft's AI revenue in FY 2026.
- 70% of Microsoft's total AI revenue is derived from OpenAI.
- Nadella forecasts AI business revenue could surpass $37 billion annually.
- Microsoft is integrating its own AI models into Office products.
- Criticism of proprietary AI models reflects a strategic shift in Microsoft's approach.
📖 Reader Mode
~1 min readMost of Microsoft's AI revenue comes from OpenAI, new disclosures show. A Bloomberg report puts the figure at $24.1 billion during the fiscal year ending in June, roughly 70 percent of Microsoft's total AI revenue. CEO Satya Nadella said in late March the AI business was on track to top $37 billion annually. Under their agreement, OpenAI pays Microsoft for computing power, model development costs, and a revenue share.
That reliance explains a lot about Microsoft's recent messaging. The same company long known for vendor lock-in has been championing open-weight models and warning against a few proprietary AI models capturing the value of entire industries. Nadella also criticized AI labs like OpenAI and Anthropic for opposing "distillation," the practice of training models on proprietary model outputs to build competitors with less effort. Chinese manufacturers have reportedly been especially aggressive with this approach. Meanwhile, Microsoft has been steadily swapping in its own AI models across Office products.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.

