Scan & Explore
- Continuous scanning
- Clustering & patterns
- Raw scenario material
- Weak signals & disruptions
- Counterarguments & wild cards
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Foresight, inverted: AI generates the futures — humans judge what matters and decide.
Months of expert work — one report. A rigorous scenario process binds expert time for weeks or months and ends in three or four scenarios that soon gather dust.
A snapshot, not a system. The result is a one-off picture of the future — outdated the moment the world moves on, rarely repeated because it costs so much.
Analysis far from decision. By the time insights reach decision-makers, months have passed. The gap between signal and strategic response stays wide open.
Like the flipped classroom, Flipped Foresight moves the scalable part — generation — out of the room, so scarce human attention can go where it is irreplaceable: evaluation, appropriation, decision.
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Flipped Foresight is a method, not a software product. But every phase is backed by a working tool from the same ecosystem — use them independently or as one continuous pipeline.
Signal scanning — continuous monitoring of news, weak signals and disruptions.
Scan & Explore · Watch & LearnTechnology monitoring — radar and roadmaps for emerging technologies.
Scenario generationThe scenario engine — AI-generated pictures of tomorrow, the method's reference implementation.
FocusAsking the right questions — sharpening human judgment on what matters.
Decide & ActFrom scenarios to strategy — readiness checks and decision support.
Plurality over tunnel vision.
Disagreement makes futures more robust.
Values, context, judgment, accountability.
Understand and verify AI results.
The future is dynamic — so are we.
Flipped Foresight: Inverting the Division of Labor between Humans and Machines in Scenario-Based Futures Work
Ulf Pillkahn · SSRN Working Paper, August 2026 · doi.org/10.2139/ssrn.7322758
The working paper is now available on SSRN — definition, reference model, demarcation from classical scenario technique, and first evidence from teaching practice.
Cite as: Pillkahn, Ulf (2026): Flipped Foresight: Inverting the Division of Labor between Humans and Machines in Scenario-Based Futures Work. SSRN Working Paper. https://ssrn.com/abstract=7322758
A hands-on futures workshop — conducted in German
Flipped Foresight, applied in one day: a scenario workshop for corporate teams, powered by the scenario engine picturesoftomorrow.com. Participants learn to work with the engine, practice applying machine-generated scenarios to their own strategic questions, and discuss how to integrate continuous foresight into existing structures.
Two formats: an in-house workshop for your team (one day, on site) — and an open edition in autumn 2026, date to be announced.
Interested? No form, no newsletter tool — a short email is enough:
info@operation-zukunft.de
We will notify you as soon as the date for the open edition is set.
Professor of Innovation and Technology Management (FOM University of Applied Sciences; lecturer at the Technical University of Munich), author on trends and scenarios, and formerly a strategist at Siemens. Flipped Foresight distills two decades of scenario practice — from corporate strategy to the classroom — into a method built for the age of generative AI.
More at pillkahn.com.