Redefining enterprise intelligence with autonomous AI
A sponsored MIT report says enterprises must redesign processes and data architecture for agentic AI.
A sponsored MIT Technology Review Insights report says enterprise AI spending is outpacing organizations' ability to absorb it, projecting $2.5 trillion in global AI investment in 2026, up 44% from the prior year. It argues most companies still do not grow revenue with AI because capabilities remain siloed across functions. Sustained returns, it says, come from redesigning processes before choosing models and from AI-ready data queried in place through sovereign, composable architectures. The piece is custom content from Insights, not MIT Technology Review editorial reporting.
- Global AI investment projected at $2.5 trillion in 2026, up 44%.
- Most enterprises still are not growing revenue through AI.
- Process redesign should precede model selection, the report argues.
- Sovereign, in-place data access is preferred over centralization.
- Organizations
- MIT Technology Review
From the original article
2 min read at technologyreview.com
Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall.
By MIT Technology Review Insights · technologyreview.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.