Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
Own the stack vs depend on partners · updated 2026-06-01
Hedged: still heavily reliant on OpenAI while standing up in-house MAI/Phi models.
Does the provider control its own model destiny, or rent intelligence from someone else? Owning frontier training, custom silicon, and a coherent small-to-large model ladder is durable leverage.
Microsoft's own in-house MAI models, including a reasoning model, signaling a push toward independence from OpenAI.
Microsoft's proprietary MAI models as evidence the 2025 contract renegotiation freed it to compete head-on with OpenAI.
Microsoft's choice to prioritize its own AI products over reselling cloud capacity may be the right long-term bet.
A teardown of Microsoft's datacenter pause and the execution risk in a vertically integrated chips-to-apps stack.
Restructured terms give Microsoft a 27% stake and non-exclusive IP rights through 2032 while OpenAI gains cloud flexibility.
How Apple, Google, Meta, Microsoft, and Amazon are differently positioned across infrastructure, models, and distribution.
As frontier models converge, advantage shifts to orchestration quality and distribution reach over raw benchmarks.
Delivering agentic products enterprises pay for forces Microsoft off model-agnosticism; models aren't commodities.