TechCrunch Disrupt 2026 puts AI’s power problem center stage

TechCrunch Disrupt 2026 will put AI’s energy crisis in the spotlight when its Smart Systems Stage takes over San Francisco’s Moscone Center from October 13 to 15. The agenda is built around one central issue: artificial intelligence is rapidly becoming constrained not just by chips and software, but by electricity, grid capacity and the physical infrastructure needed to keep data centers running.

The stage lineup will feature leaders from Commonwealth Fusion Systems, Helion, Inertia, Bloom Energy and other companies that are trying to solve the power shortage facing the AI economy. For founders, investors and operators, the event is shaping up as a focused look at how the next wave of AI expansion will depend on energy breakthroughs, grid upgrades and new infrastructure models.

TechCrunch is also urging attendees to buy tickets before the current pricing window closes, positioning the event as both a networking opportunity and a practical briefing on the bottlenecks that could determine how fast AI continues to scale.

Why AI infrastructure is becoming a boardroom issue

AI’s growth is no longer limited by model quality alone. As more organizations deploy large models, agentic systems and high-volume inference workloads, the electricity required to train and run them has become a strategic constraint for the entire sector.

That shift is why the Smart Systems Stage is not being framed as a niche energy session. Instead, it is positioned as a cross-industry forum where startup founders, utility operators, power engineers and investors can examine the real-world limits of the AI boom.

Data centers need large, reliable power supplies, and demand is rising faster than many existing grids can comfortably absorb. That creates pressure on utilities, developers and hardware providers to expand capacity, improve flexibility and speed up delivery timelines that often move more slowly than software innovation.

What makes the Smart Systems Stage different?

The Smart Systems Stage is focused on the physical layer beneath AI. In practical terms, that means electricity generation, grid reliability, energy storage, industrial-scale hardware and the financing needed to build all of it.

Rather than treating AI as a purely digital story, the stage will connect the technology sector with the energy sector, showing how they are increasingly dependent on one another. That distinction matters because AI’s expansion now affects power markets, infrastructure planning and broader economic development.

How commercial fusion could change the equation

Commercial fusion is one of the most ambitious answers to the AI power crunch, and the Disrupt agenda gives it a prominent place. The opening fusion session will examine the progress that Commonwealth Fusion Systems and Helion have made, the technical hurdles that still stand in the way, and what it would take to connect fusion-generated electricity to the grid at meaningful scale.

Fusion has long been viewed as a potentially transformative source of clean, abundant energy. But the gap between scientific promise and commercial deployment remains large. The industry must still prove not only that fusion can work reliably, but that it can operate economically and integrate into existing grid systems.

That makes the stage discussion especially relevant for AI companies, because the search for dependable power is becoming more urgent as compute clusters grow larger and more energy intensive.

“The challenge isn’t just creating more energy,” the agenda implies through its session design; it is proving that new energy sources can be delivered at the scale and speed modern AI infrastructure requires.

Who is speaking on fusion?

The fusion conversation will include David Kirtley, chief executive of Helion, and Brandon Sorbom, chief science officer at Commonwealth Fusion Systems. Both companies are among the best-known names in the race to commercialize fusion, and their presence signals that the event is not approaching the topic as speculative futurism.

Instead, the discussion is likely to focus on engineering milestones, commercialization timelines and the practical realities of getting a new power source into a system built around decades-old standards.

Why utilities and startups are racing to modernize the grid

Utilities and startups are both under pressure because the current grid was not designed for today’s data-hungry economy. The next session will examine how electricity demand is growing faster than the infrastructure that is supposed to deliver it, and what kinds of investments are needed to make the system more resilient.

The grid issue is no longer a slow-moving policy debate. It is becoming a direct business constraint for AI developers, data center operators and energy providers that need certainty about where and when power will be available.

The discussion will also look at where capital is flowing and how technology providers are trying to help utilities adapt to a more dynamic, electrified economy.

What will the grid panel cover?

The panel titled “Rewiring the Grid for the Electric Age” will focus on modernization, flexibility and resilience. Speakers will consider how the power system can be updated to handle growing load, unpredictable demand patterns and the need for faster interconnection of new generation.

Among the listed speakers are Drew Baglino, founder and chief executive of Heron Power, and Apoorv Bhargava, co-founder and chief executive of WeaveGrid. Additional participants are expected to be announced later.

These names matter because they represent different parts of the power transition: hardware, software and grid coordination. The mix suggests the conversation will be less about abstract climate goals and more about practical execution.

How Jeff Lawson’s move from Twilio to fusion fits the moment

Jeff Lawson’s appearance is one of the more notable additions to the agenda because it bridges the software world and the energy world. Lawson, best known as the co-founder of Twilio, is now leading Inertia, a fusion power startup that is drawing significant investor attention.

The session is designed as a candid conversation about his transition from scaling a developer platform to pursuing one of the hardest engineering problems in energy. That shift highlights a broader trend: more technology founders are moving into deep-tech and infrastructure because they see the next big opportunity in solving physical bottlenecks, not just building apps.

Lawson’s experience at Twilio may be relevant because it involved growth, product discipline and hiring at scale — all skills that are valuable in capital-intensive ventures with long development timelines.

According to the event description, Lawson’s path from Twilio to Inertia will be used to explore how experience in software scaling shapes thinking about talent, timelines and difficult engineering trade-offs.

What data center operators are doing about the power bottleneck

Data center operators are racing to secure electricity before power shortages slow expansion. The session labeled “AI’s Power Problem” will address the intersection of two fast-moving sectors: AI infrastructure and energy supply.

As compute demand accelerates, operators are looking for ways to guarantee power access early in the development process. That may involve long-term energy procurement, on-site generation, partnerships with utility companies and more aggressive investment in infrastructure planning.

The stakes are high because data center buildouts are often coordinated years in advance. If power is unavailable, delayed or too expensive, the growth of AI services can slow regardless of how quickly chipmakers or software firms move.

Who will discuss AI’s power needs?

The panel includes Sara Spangelo, president and co-founder of Ambrosia Energy, and Bill Thayer, senior vice president and head of datacenter solutions at Bloom Energy. Their participation suggests a conversation that will span both renewable and distributed power solutions, as well as practical deployment issues for large computing facilities.

Bloom Energy’s role is especially notable because distributed generation and fuel cell systems are increasingly part of the broader discussion around how to keep power-hungry digital infrastructure online.

The bigger story: AI is colliding with the physical economy

The Smart Systems Stage points to a larger change in how the tech industry understands AI. The story is no longer only about model performance, product adoption or fundraising rounds. It is also about land use, transmission capacity, power generation, industrial supply chains and the speed at which real-world systems can adapt.

That collision between software ambition and physical reality is forcing a new kind of collaboration. AI companies need energy firms. Energy firms need technology partners. Investors need to understand both sides if they want to back the companies most likely to succeed.

For the startup ecosystem, that means infrastructure is becoming a core innovation category rather than a support function. The companies that can solve energy delivery, grid flexibility and power procurement may end up shaping the pace of AI progress as much as the model labs themselves.

Why this matters for founders and investors

This matters because the next phase of AI growth will likely reward businesses that can remove bottlenecks, not just generate buzz. Founders building in fusion, grid software, power electronics, energy storage or data center infrastructure may find themselves closer to the center of the market than they would have been a few years ago.

Investors, meanwhile, are being pushed to think in longer horizons. Infrastructure projects require capital, patience and technical discipline, but they may also become some of the most strategically important bets in the AI era.

• AI demand is increasing electricity use across data centers and the broader economy.
• Fusion, grid modernization and distributed power are emerging as possible solutions.
• TechCrunch Disrupt 2026 will devote a full stage to energy and infrastructure.
• Founders, utilities and investors are being pushed to treat power as a strategic constraint.

What attendees can expect at Disrupt 2026

Beyond the Smart Systems Stage, attendees will gain access to the full conference program, networking events, side events and the rest of the speaker lineup. That broader setup is part of what makes Disrupt a major annual gathering for the startup ecosystem.

The event will run over three days in the heart of San Francisco, where the overlap between startup culture, capital and technical ambition is especially concentrated. For founders in energy, AI infrastructure and adjacent sectors, the conference offers a chance to compare notes with peers who are wrestling with the same hard problems.

TechCrunch is also emphasizing that its current discount window is nearing its end, making the announcement partly a programming reveal and partly a reminder that registration is open.

How the Smart Systems agenda has evolved

The agenda reflects a growing recognition that AI cannot be separated from the systems that keep it powered. In previous eras, a conference stage like this might have been considered adjacent to the main technology story. In 2026, it sits at the center of it.

That evolution mirrors the broader market. A decade ago, cloud expansion was the big infrastructure conversation. Today, the question is whether electricity generation, transmission capacity and grid modernization can keep pace with AI’s demand curve.

By bringing fusion companies, grid technology firms and data center specialists into the same conversation, Disrupt is effectively making the case that the next chapter of the tech economy will depend on industrial execution as much as on software development.

For the AI industry, the message is straightforward: the future of intelligence will depend on power. The Smart Systems Stage is designed to show exactly how hard it will be to build that future — and who is trying to make it happen.