What is the Lab?
The 3rd Horizon AI Lab is a long-term, collaborative experimentation space initiated by the Copenhagen Institute for Futures Studies. Rooted in a Horizon 3 perspective, it is designed as a think-and-do tank where we explore the interplay between AI and foresight in order to reframe our perceptions of plausible future paths of people, societies, businesses and the established interconnections. It is a place for challenging and redrawing our understanding of how long-term futures will be shaped by intelligent systems. We prototype AI-native foresight tools and co-develop adaptive “liquid foresight” - an approach that is modular, AI-driven, and built on curiosity, co-creation, and strategic relevance - building on CIFS’ 50+ years of explorative, structured and futures-oriented thinking.
Why AI and foresight together?
AI is transforming not only potential futures but also how we imagine, conceptualise, and work with them. As disruption accelerates across sectors, foresight frameworks themselves must also evolve in response. The H3 AI Lab expands the boundaries of imagination, experiments with new methods and tools, and explores radically different futures shaped by the convergence of AI and foresight. It’s about rethinking the relevance and methods of futures work in an AI-augmented world.
Who is it for?
The Lab is for visionary organisations and individuals across sectors who want to engage with transformative change rather than react to it. Participants help shape the evolution of foresight in an AI-mediated context, testing the path from incremental change and toward deep, systemic transformation.
What kind of projects live in the Lab?
• Exploring H3 AI futures across institutions, sectors, organisations, and cultures, focusing our attention on the potential long-term outcomes of current disruptions.
• Testing innovative foresight and AI tools that complement existing established foresight models, such as 1) prototyping AI-native foresight tools like agentic dashboards, simulations, and future swarm tools and (2) co-creating sandbox formats, including AI-mediated scenario cycles and augmented foresight sprints
• Developing methodological provocations that challenge established foresight practices in an AI-driven world.
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