Networking Lunch
In person
Invitation only

AI dependency: Building resilience before failures cascade

  • Date
    9 July 2026
    Timeframe
    12:30 - 14:00
    Duration
    1h 30 minutes
    • Days
      Hours
      Min
      Sec

    How far can AI scale before failures exceed society’s ability to absorb the damage?

    AI is no longer a set of stand‑alone applications. It is becoming shared infrastructure that underpins critical decisions and services across the economy. As reliance grows, so does the risk that failures spread across sectors and exceed society’s ability to absorb the damage. This session explores how Policy must evolve to support fast AI adoption without creating fragile systems. The focus is not on stopping innovation, but on ensuring that scale is matched by resilience. 

    The discussion centers on three structural challenges that current policy often underestimates: concentration among AI providers, correlated system behaviour across sectors, and the difficulty of intervening once failures cascade. Drawing lessons from climate and cyber risk, participants examine how policymakers can assess system capacity, identify stress points early, and embed accountability before dependency becomes irreversible.

    Bringing together the perspectives of an insurer, academic research, and the public sector, the session moves beyond principles to practical questions: how policy can guide AI toward resilience, not fragility, as it becomes foundational to society.

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