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What happens when the pace of AI innovation collides with the realities of semiconductor development?

In this episode of Tech Talks Daily, I speak with Faraj Aalaei, CEO of Cognichip and a semiconductor industry veteran with more than 25 years of experience spanning engineering, venture capital, and two successful IPOs. Faraj joins me to discuss why the future of artificial intelligence may depend on radically rethinking how chips are designed, manufactured, and scaled.

Cognichip recently emerged from stealth with $33 million in seed funding and a bold ambition to create the world's first Artificial Chip Intelligence, or ACI®. The company is developing a physics-informed foundational AI model purpose-built for semiconductors, with the goal of reducing the enormous time, cost, and complexity associated with chip design.

Faraj explains how the semiconductor industry now faces a growing bottleneck. While AI software can evolve at remarkable speed, chip development often still takes between three and five years and costs more than $100 million. That mismatch is becoming increasingly difficult to sustain as demand grows for specialized AI hardware, edge computing systems, and next-generation infrastructure.

Our conversation also explores the geopolitical and economic shifts reshaping the semiconductor industry. Faraj shares his perspective on the emerging concept of "Pax Silica," the growing effort by governments to restructure global chip supply chains and reduce reliance on China. While many policymakers see this as a matter of national security and resilience, Faraj warns there may also be unintended consequences, including rising AI infrastructure costs, engineering shortages, and slower innovation cycles.

One of the most interesting parts of our discussion centers on the idea that AI itself may become the missing scaling factor for semiconductor development. Instead of relying solely on larger engineering teams and longer development cycles, Cognichip believes AI-designed chips could dramatically accelerate innovation and make advanced hardware development accessible to far more companies and researchers.

Faraj also reflects on his career journey from entrepreneur to investor and back again, sharing lessons from decades spent helping build the modern semiconductor ecosystem. From supply chain realities to the growing pressure on engineering talent, this episode offers a rare insider perspective on the technologies quietly powering the entire AI economy.

As AI systems continue to demand faster, more specialized hardware, are we reaching the limits of traditional chip development, and could AI itself become the tool that reshapes the future of semiconductors?