Five architects of the AI economy explain where the wheels are coming off
TechCrunch / 5/7/2026
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Key Points
- Five leaders across the AI supply chain discussed systemic bottlenecks, including chip shortages, that may be disrupting the AI economy.
- The conversation covered infrastructure challenges ranging from orbital (space-based) data centers to broader hardware and deployment constraints.
- Speakers raised the possibility that foundational assumptions about the current AI architecture may be flawed, not just individual components.
- The discussion framed these issues as “where the wheels are coming off,” suggesting increasing risk to scaling and performance of AI systems.
- The insights were shared in an interview setting at the Milken Global Conference in Beverly Hills with TechCrunch.
Earlier this week, five people who touch every layer of the AI supply chain sat down at the Milken Global Conference in Beverly Hills, where they talked with TechCrunch about everything from chip shortages to orbital data centers to the possibility that the whole architecture that undergirds the tech is wrong.
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