WorkSeptember 16, 2026via Financial Times Technology
AI can forecast the future. Should we let it?
Why it matters
As AI systems demonstrate forecasting parity with elite human predictors, enterprises and policymakers face a novel decision: adopt AI forecasting for high-stakes predictions (markets, policy, resource allocation) or treat it as advisory only. The capability is real; the governance and liability questions are not.
Key signals
- AI forecasters' performance indistinguishable from superforecasters
- Caveats noted but not specified in headline
- Implication: forecasting as a profession/decision-making process is changing
- Published September 2026—timeframe suggests this is a maturing capability, not a breakthrough
- FT framing suggests policy/societal debate, not pure technical achievement
- AI forecasters perform at parity with human superforecasters
- Raises deployment and ethics questions for workplace decision-making
- Framed as commentary on trust and governance, not a technical breakthrough
The hook
AI forecasters now match human superforecasters—but the real question is whether we should trust them with prediction markets, policy, and money.
The skill of specialised AI forecasters seems indistinguishable from much-vaunted superforecasters. But there are caveats