Cerebras Systems’ Andrew Feldman on whether AI can keep scaling at TechCrunch Disrupt 2026

AI models are becoming more capable, but each advancement requires more computing power, energy, and infrastructure. Cerebras Systems has spent the past decade developing an alternative to conventional chip architectures by building processors on entire silicon wafers rather than cutting them into individual chips, an approach designed specifically for demanding AI workloads. The company is now scaling its computing and manufacturing capacity as AI demand accelerates, including agreements to deploy systems and plans to expand data center capacity globally. At TechCrunch Disrupt 2026, Cerebras CEO Andrew Feldman will discuss whether AI can continue scaling given these infrastructure constraints and what happens if current hardware reaches its limits.