MIT Technology Review

02 AI automation poses a looming crisis for entry-level work that threatens economic mobility and requires urgent, coordinated policy response.

03 AI professors are actively negotiating new research norms amid industry pressure.

04 We still don’t know how people are really using AI.

05 AI poses a non-zero risk of causing human extinction, but serious research and governance efforts are underway to prevent it.

06 Automated AI text detectors are becoming less reliable as language models improve and users adopt adversarial prompting techniques.

07 Could AI really kill us all?

08 MIT Technology Review published its 2026 '35 Innovators Under 35' list focused on artificial intelligence.

09 Big Tech companies should prioritize transparency and accountability in AI development.

10 AI enables organizations to achieve operational excellence.

11 Agriculture is ready for AI adoption.

12 Retail is being repositioned for the AI era.

13 Operators claimed divine instruction to sell crypto, causing total investor loss.

14 AI professors are negotiating the new realities of academic research.

15 A distinct 'web data infrastructure layer' is emerging as a foundational component of the AI stack.

16 AI agents are not your 'coworkers' because they lack intentionality, shared context, and mutual accountability.

17 AI has not led to net job losses in the U.S. labor market as of mid-2024.