2026-03-09 // Script Save AI Training
AI Got Good Enough — Why Healthcare Is Finally Moving
ai healthcare adoption
The Argument
AI got good enough to use for real work about 18 months ago. Most industries figured that out. Healthcare didn’t — for understandable reasons. But three things lined up at once: the models actually work now, leadership started demanding it instead of allowing it, and developers stopped fighting it and learned how to use it well.
Key Data Points
- MMLU benchmark: GPT-3 scored 44% in 2020. Best models today hit 93% across 57 college-level subjects.
- Coding benchmarks: 48% to 92%. Math: 42% to 98%. PhD-level science: 48% to 85%.
- SWE-bench (real GitHub issue resolution): 33% to 64% in under a year.
- Enterprise adoption: 88% across industries — but healthcare sits at ~35%.
The Takeaway
We’re past the crossover point where overestimation turns into underestimation. The convergence already happened, and we’re already in it.