What sets Mantic apart is its system design. Instead of relying on one model, it splits each forecasting problem across multiple AI agents—including models from OpenAI, Google, and DeepSeek—leveraging their unique strengths. This approach avoids groupthink, as the AI often diverged from the crowd consensus. It wasn’t just regurgitating training data but engaging in reasoning, challenging assumptions, and recalibrating daily with new information.

Still, AI forecasters aren’t flawless. They struggle with logical inconsistencies in highly interrelated events—tasks where human intuition and contextual judgment still shine. For example, humans remain superior when data is sparse or ambiguous, while AI excels with structured data like inflation rates or climate numbers. This complementarity points to a hybrid future, where human insight and AI persistence combine for more accurate forecasts.

The bigger picture is clear: AI is reshaping even fields thought to be deeply human, like judgment and intuition. According to Good Judgment, a leading forecasting firm, the future isn’t about AI replacing humans but merging strengths to accelerate accuracy. For decision-makers in business, politics, and finance, this could mean more reliable foresight in a world of uncertainty. And as one top human forecaster put it: if you can’t beat them, merge with them.