AI has become the centerpiece of innovation and investment, promising transformative change across all industries. But behind the hype lie critical challenges, both technological and economic, that threaten its long-term viability. What happens when scaling laws collide with physical limits, infrastructure costs outpace ROI, and organizations discover that AI’s promised gains aren’t materializing?

In this session, we’ll examine the cracks in today’s AI landscape, from the unit‑economics that make widespread adoption challenging and the unrealistic expectations shaping investment decisions. Drawing on recent research and long-term key metrics from large scale AI deployments, we’ll explore why the current trajectory is unsustainable and outline what must structurally change for AI to deliver long-lasting impact.

This talk is rated at level 200 and is designed for both business leaders and technologists, and anyone curious about the future of the AI industry.