Three of the most-cited 2025 reports on enterprise AI — Stanford HAI's AI Index, McKinsey's State of AI, and MIT NANDA's *GenAI Divide* — agree on one uncomfortable picture: almost everyone has adopted AI, and almost no one is making money from it.
Adoption is near-universal
- 78% of organisations used AI in at least one function in 2024, up from 55% a year earlier (Stanford); McKinsey's 2025 survey of ~2,000 firms puts it at 88%.
- Generative AI use more than doubled — 33% → 71% of organisations.
- Global corporate AI investment hit $252.3 billion in 2024.
...but impact is rare
- Only ~one-third of organisations have scaled AI past pilots ("pilot purgatory").
- Just 39% report any EBIT impact — and mostly under 5%.
- Only 6% qualify as high performers; MIT found 95% of GenAI pilots deliver no measurable P&L impact.
The story of enterprise AI in 2025 isn't capability. It's the chasm between buying AI and getting value from it.
The bottleneck is consistent across all three reports — and it isn't the models. It's integration, workflow redesign, measurement and senior ownership.
Sources
- Stanford HAI — 2025 AI Index
- McKinsey — The State of AI 2025
- MIT NANDA — The GenAI Divide
Written by ivector
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