FORAXION TIMESOCTOBER 2026

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Results for “Strategic foresight”

2026-08-22The Forecasting Machine

A 2017 field guide to prediction markets for foresight, reread in 2026

Futuribles International has made Émile Servan-Schreiber’s 14-page toolbox on prediction markets free to download. Written in 2017 for foresight practitioners, its practical rules still hold, and its list of research frontiers reads differently now that AI forecasting exists.

2026-07-14The Forecasting Machine

Forecasting as a Sovereign Capability: Émile Servan-Schreiber at PDSF 2026

At the Paris Defence and Strategy Forum 2026, our Chief Scientific Advisor argued that collective intelligence and AI forecasting can become strategic infrastructure for national decision-making.

2026-03-17The Forecasting Machine

Gilles Haumont joins The Forecasting Machine as co-founder and CEO

In March 2026, the former luxury-sector chief executive Gilles Haumont became CEO of The Forecasting Machine. He wants to put hard, updated probabilities on the strategic assumptions behind business plans.

2026-03-02The Forecasting Machine

On B SMART, Servan-Schreiber Explains Why a Panel of AI Models Can Forecast Like a Panel of Experts

On B SMART’s Smart Tech on 2 March 2026, Émile Servan-Schreiber told Delphine Sabattier how The Forecasting Machine combines several language models into one sourced forecast, and why he sees those models as collective intelligence in their own right.

2026-01-31The Forecasting Machine

How the OECD’s foresight unit fits crowd and AI forecasting into policy planning

From a Paris meeting of government foresight teams in October 2025 to an EU expert hearing in January 2026, the OECD’s Strategic Foresight Unit has set out where Glimt and The Forecasting Machine fit, and where they don’t.

2025-05-20The Forecasting Machine

AI gathers, crowds guess: Servan-Schreiber’s hybrid forecasting model in Prague

At the Europe as a Task conference in Prague in May 2025, Émile Servan-Schreiber split forecasting into information gathering, where AI now leads, and guessing, where crowds still take better-calculated risks.

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