Top AI and Data Science Trends to Watch in 2026
TL;DR Summary
MIT SMR columnists Thomas Davenport and Randy Bean identify five key AI trends for 2026, including the deflation of the AI bubble impacting the economy, the rise of 'AI factories' for faster AI development, the shift of GenAI to an enterprise resource, the potential of agentic AI despite current overhype, and ongoing debates about AI management roles within organizations.
- Five Trends in AI and Data Science for 2026 | Thomas H. Davenport and Randy Bean MIT Sloan Management Review
- What’s next for AI in 2026 MIT Technology Review
- Tech to Track in 2026 IEEE Spectrum
- AI paradoxes: 5 contradictions to watch in 2026 and why AI's future isn't straightforward The World Economic Forum
- 10 AI Predictions for 2026 AI Business
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