AI can generate a trend report in ten minutes. Your leadership can ignore it in ten seconds.
That’s the uncomfortable truth many foresight, strategy, and innovation teams are discovering right now. Agentic AI has transformed horizon scanning, weak-signal detection, and trend drafting. What once took weeks can now happen overnight.
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AI is changing foresight. What once took weeks of manual scanning and analysis can now be done in a fraction of the time. But speed is not enough. In foresight, the real currency is trust.
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Every foresight professional faces the same challenge: how to build a practice that is consistent, credible, and impactful. Tools alone won’t do it. Neither will inspirational speeches about “thinking futures.”
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The rise of generative AI has changed how we work. Tools like ChatGPT, Gemini, or Perplexity can summarize reports, draft emails, and brainstorm ideas in seconds. For foresight professionals, they offer an easy entry point to explore futures questions with a simple prompt.
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Foresight professionals are under more pressure than ever. They’re expected to deliver meaningful insights quickly, stay ahead of change, and support strategic decisions. And all this with limited time and resources. The volume of information is already challenging, but turning that flood of data into something useful is the real hurdle.
At FIBRES, we set out to solve this problem in a bold new way.
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If you work in foresight, you know the feeling. Endless context-switching. Drowning in signals and data. Colleagues asking for fast answers while you struggle to ensure engagement. And too often, little visibility into the actual impact of all your hard work.
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Strategic foresight is built on the ability to detect, interpret, and act on signals of change. But as anyone working in foresight, strategy, or innovation knows, the volume of information we now have access to is staggering. From global news feeds and patent databases to social media streams and scientific journals, signals are everywhere and the flood is rising by the minute.
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In our recent article, The dual horizon, we explored a growing tension in strategic foresight: AI is transforming how we scan, sense, and shape the future, but it’s also introducing new risks around bias, blind spots, and explainability.
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If you work in strategic foresight, innovation, or business strategy, you’ve likely asked yourself: What role should AI play in shaping how we think about the future? You’re not alone. From boardrooms to think tanks, the conversation around AI in foresight is heating up, and for good reason.
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