AGI · MIT Technology Review
Breathless asserts about AGI and new capabilities fall apart pretty quickly under scrutiny
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Meet the new kids nipping at the heels of the AI giants.
Key facts
- Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year
- This content was produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff
- AI agents are not yet creative enough to carry out genuinely innovative open-ended AI research, it seems
- And, lastly, resolving questions of AI sovereignty, including where intelligence runs, who controls it, and how it operates across organizational and jurisdictional boundaries
Summary
Enterprise AI is no longer a future ambition. For many enterprises, this investment has produced fragmentation. The shift from AI as a tool to AI as an operating model—what they call the “agentic shift” in this report—demands something more fundamental than better models or faster infrastructure. This means rethinking both architecture and operating models simultaneously. Enterprise AI’s scaling problem is structural. Global AI spending is rising sharply and model capabilities are advancing faster than most organizations can integrate them.