MIT Technology Review has published a concise field guide to the biggest AI themes it is tracking after its SXSW London talk. The piece focuses on what is changing in actual AI use, not just model-launch spectacle.
The useful takeaway is that AI progress is becoming less about one headline benchmark and more about deployment questions: what agents can reliably do, where systems still fail, and how users should judge new claims.
For builders and buyers, that framing matters because 2026’s AI market is increasingly crowded with tools that sound similar but behave very differently once they hit real workflows.