
Hear from Ambrosia Energy and Bloom Energy execs on where the AI infrastructure boom is creating opportunity at TechCrunch Disrupt 2026
Quick Answer
At TechCrunch Disrupt 2026, Ambrosia Energy's Ben Longmier and Bloom Energy's Bill Thayer discuss the critical infrastructure challenges facing AI scalability, emphasizing the need for solutions in power generation, data centers, and cooling systems.
Quick Take
They highlight the emerging business opportunities as AI's demands reshape the physical world.
Key Points
- AI scalability relies on physical infrastructure like power generation and data centers.
- Demand for compute may outpace available power and infrastructure solutions.
- Emerging categories in AI infrastructure could support long-term business growth.
- Founders should explore beyond traditional AI applications for new opportunities.
- Investors need to identify defensible markets driven by infrastructure demand.
DeepSignal Analysis
What happened
At TechCrunch Disrupt 2026, executives from Ambrosia Energy and Bloom Energy discussed the infrastructure challenges associated with scaling AI. They highlighted the need for advancements in power generation, data centers, and cooling systems to meet the growing demands of AI applications.
Key evidence
- Ben Longmier, CEO of Ambrosia Energy, and Bill Thayer, SVP at Bloom Energy, spoke about the physical infrastructure required for AI at TechCrunch Disrupt 2026.
- The discussion focused on how the demand for compute power is outpacing the delivery of necessary infrastructure, raising questions about the sustainability of current solutions.
- They emphasized that the next significant opportunities in AI may arise from sectors like energy and cooling systems, rather than traditional AI companies.
Why it matters
The conversation at TechCrunch Disrupt 2026 underscores a critical shift in the AI landscape, where infrastructure is becoming as important as software. As AI applications proliferate, the need for robust physical systems to support them is paramount. This shift could lead to new business models and investment opportunities in sectors that traditionally may not have been associated with AI.
📖 Reader Mode
~3 min readAI may be built in software, but scaling it is becoming a physical-world problem. Every new model, agent, and AI application needs somewhere to run, and an infrastructure connecting them all.
At TechCrunch Disrupt 2026, Ben Longmier, CEO of Ambrosia Energy, and Bill Thayer, SVP and Head of Datacenter Solutions at Bloom Energy, come together on the Smart Systems Stage for a conversation on “Where the AI Infrastructure Boom Is Creating Winners.”

This industry stage session will examine which constraints are creating durable business opportunities, where new categories are beginning to emerge, and what founders can build as AI moves further into the physical world.
Get your pass now to save up to $100 before rates go up at the door on October 13. Grab a second pass at 50% off. Register now.
The AI race is becoming an infrastructure race
Much of the AI conversation has focused on models, chips, and applications. But none of them operate in isolation. Scaling AI depends on an expanding physical stack: power generation, grid connections, data centers, cooling, electrical equipment, and the systems required to keep everything running.
That creates a different kind of challenge. What happens when demand for compute grows faster than power and infrastructure can be delivered? Which shortages are temporary, and which could reshape the market for years? Where does a constraint stop being a problem and start becoming a category of its own? Those are the questions this session will tackle.
Rather than looking at AI solely through the software layer, Bill Thayer and Ben Longmier will examine the infrastructure underneath it — and what those pressures could mean for founders, investors, and companies planning for the next phase of AI growth.
Where do the real opportunities sit?
Infrastructure booms create opportunity, but the benefits are rarely distributed evenly. The challenge is identifying which parts of the stack genuinely need new solutions, where spending is likely to persist, and which emerging categories can support durable businesses rather than short-term demand.
Bringing together leaders across energy, data center solutions, and market intelligence gives the discussion a wider view of that question. Expect the conversation to explore where constraints are appearing, how the market is responding, and which areas founders should be watching as more capital flows into AI infrastructure.
For founders, that means looking beyond the obvious AI application. For investors, it means understanding where infrastructure demand could create defensible markets. For tech leaders, it offers a clearer view of the physical systems increasingly shaping where and how AI can scale.
The next AI company may solve a physical-world problem
The next major opportunity created by AI may not look like an AI company at all. It could emerge in energy, data centers, cooling, grid technology, electrical equipment, infrastructure software, or entirely new categories that don’t yet have established names.
The common factor is the same: AI is creating new demands on the physical world, and those demands need solutions. That is what makes this session broader than an infrastructure discussion. It’s about understanding where the next markets could emerge — and who is positioned to build for them.
Join Ben Longmier and Bill Thayer at the Smart Systems Stage at TechCrunch Disrupt 2026 and explore where the AI infrastructure boom is creating its next opportunities. Don’t forget about the 250+ speakers leading 200+ sessions.
Save up to $100 before doors open at Moscone West on October 13 at 8 a.m. PT. Bring a co-founder, partner, colleague, or peer and get 50% off a second pass of the same ticket type.

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— Originally published at techcrunch.com
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