Working in the forecasting, observations, futurism and keynoting field, I am witnessing a massive shift where the core of my work—prediction and observation—is becoming increasingly automated by AI. For a long time, my colleagues and I relied on our human craft to study signals and build scenarios, but now AI models are predicting everything from consumer behavior to elections and even wars. These prediction engines are being deeply embedded into every aspect of society, from logistics to the military, making data-driven foresight an invisible but essential commodity much like electricity. Because machines can now forecast faster and more accurately, the competitive advantage is no longer about who is best at predicting, but rather who has access to and knows how to prompt these powerful AI systems.

Most AI speakers today are Information Vendors. They explain how the technology works or how to use it to increase ROI. The AI Threat to them: AI itself is the world's best “Information Vendor. Great speakers and Futurists must become Meaning Architects: You don't explain what the tool is; you explain what the tool does to our humanity. AI cannot simulate the decades of “tacit knowledge” and “philosophical synthesis” you provide. In a world drowning in data, people are starving for Meaning.

With half of my own work touched by this automation, I realize that the truly rare and valuable skills are now uniquely human: interpretation, understanding, context, and ethics. Since AI can only tell us what is likely to happen, my role is shifting toward crafting the narrative that explains what these predictions actually mean for us. I must ask the deeper ethical and societal questions, challenging whether optimal or efficient machine-driven outcomes are actually desirable or good for humanity. Ultimately, as algorithms take over the task of predicting, my most important work becomes designing the story of the future, navigating the political and human tensions, and arguing for a good future that is actually worth building together.

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Related video: AI Dilemmas

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A pretty cool NotebookLM audio summary

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