TechCrunch Disrupt's New Smart Systems Stage Tackles AI's Critical Power Crisis

The computational demands of modern artificial intelligence aren't just a software challenge — they're an existential energy problem. As AI systems become more power-hungry, the infrastructure required to feed them is lagging dangerously behind, creating what may be the most consequential constraint on the technology's next phase of growth.

A Dedicated Stage for Infrastructure Innovation#

TechCrunch Disrupt 2026, running October 13–15 at San Francisco's Moscone Center, will debut the Smart Systems Stage — a full agenda devoted to the intersection of energy technology, industrial infrastructure, and AI deployment. The lineup features executives and founders from leading companies including Commonwealth Fusion Systems, Helion, Bloom Energy, and Inertia, among others, who will dissect the real engineering and policy challenges that keep AI operational at scale.

Key Panel Discussions#

The agenda spans four interconnected problem areas:

• Commercial Fusion's Near-Term Reality — Helion CEO David Kirtley and Commonwealth Fusion Systems Chief Science Officer Brandon Sorbom will walk through the technical breakthroughs and remaining hurdles for bringing fusion electricity to the national grid.

• From Telecom to Fusion — Inertia CEO Jeff Lawson, founder of Twilio, joins for a conversation about why he pivoted to fusion and how lessons from scaling a global communications platform apply to the much harder problem of scaling clean energy generation.

• Modernizing Electrical Infrastructure — A panel including Drew Baglino (Heron Power) and Apoorv Bhargava (WeaveGrid) examines how utilities, startups, and technology vendors are retrofitting decades-old grid systems to handle rapid electrification and AI's enormous appetite for consistent, reliable power.

• Solving the Data Center Bottleneck — Leaders from companies like Ambrosia Energy and Bloom Energy will discuss how the race to secure sufficient electricity for data centers is reshaping the relationship between energy providers and cloud operators.

Why It Matters#

The growth trajectory of artificial intelligence depends on solving an unglamorous but unavoidable engineering problem: getting enough power to computation hubs. Without breakthroughs in generation (fusion, next-gen thermal plants) and distribution (grid modernization, microgrids), the sector risks hitting a hard ceiling—not from lack of innovation in algorithms, but from lack of kilowatts. The Smart Systems Stage puts that reality front and center.