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
- In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled
- Enterprises are done with a backward-looking point of view; they want to be more forward-thinking,” says Vishal Gupta, partner at research firm Everest Group
- This content was produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff
- Ten years after AlphaGo’s match against Go champion Lee Sedol, today’s AI still isn’t tapping into the machinery that made that win possible
Summary
In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. “Enterprises are done with a backward-looking point of view; they want to be more forward-thinking,” says Vishal Gupta, partner at research firm Everest Group. Intelligent analytics, powered by technologies like deep learning and generative AI, are making this possible. AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, interpretation of results, and decision-making applications—to new heights. This content was produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff.