Published by: MIT NANDA
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Key Takeaways
The majority of organisations are high adopters of GenAI tools like ChatGPT and Copilot, yet only a small fraction (around 5%) are realising meaningful business impact or transformative change.
The core barrier to scaling AI solutions is not model quality or regulation but the organisation’s approach — specifically, its ability to build systems that learn, adapt, and retain context over time.
Big firms lead in the number of AI pilots but struggle significantly with scale-up and deployment, exemplifying the "GenAI Divide."
Many organisations experience a steep pilot-to-production drop-off (~95% failure rate), with generic tools succeeding in pilot phases but failing at integration and contextual adaptation.
Shadow AI — employees’ use of unauthorised personal AI tools — outpaces formal enterprise adoption, providing early evidence of what actually works.
Investment priorities focus heavily on sales and marketing (aroun...
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