Wednesday, Apr 15, 2026 | 04:00 PM - 05:00 PM
Location: Meeting Halls A&B HQ1-3-430A&B
Artificial intelligence promises to be one of the most powerful tools for economic development in modern history accelerating productivity, expanding the capacity of firms, and improving public service delivery of governments. But the same forces driving that promise are also creating new systemic dependencies: on a handful of frontier models, on concentrated compute infrastructure, and on innovation ecosystems that remain largely out of reach for most of the world's economies. The risk is a growing resilience gap, the widening divide between economies that can harness AI to grow and those that cannot.
This panel examines the structural factors affecting that risk and what it would take to prevent it. The evidence on innovation diffusion suggests that transformative technologies take decades to translate into broad productivity gains and that the distribution of those gains is far from automatic. Meanwhile, firms and industries are adopting AI at vastlyuneven rates, with early movers pulling ahead while others risk being locked into dependency rather than capability. And at the frontier, the decisions being made today about how AI systems are deployed, governed, and accessed will shape the macro risk landscape for years to come. For policymakers, the urgency is real.
The gap between the pace of AI development and the readiness of governments to manage its macroeconomic consequences is widening. Closing that gap through smarter regulation, investment in public AI capacity, and international coordination is not a technology question. It is a policy one. This panel brings together leading voices from innovation economics, global management practice, and frontier AI development to map that gap and chart what policy must do next.