Eye On A.I. #313 Jonathan Wall: AI Agents Are Reshaping the Future of Compute Infrastructure
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Jan 11, 2026 Jonathan Wall, founder and CEO of Runloop AI, dives into the revolutionary intersection of AI agents and compute infrastructure. A former Google engineer, he discusses how traditional cloud models fail to meet the unique needs of unpredictable AI agents. By providing each agent its own isolated 'dev box,' new capabilities are unlocked. Wall also explores scaling agents in production, ensuring trust through benchmarks, and the impact of these systems on enterprise workflows, revealing a future where agents become essential coworkers.
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Agents Need Their Own Compute Primitive
- Agents require a new compute primitive because they run open-ended, tool-driven workflows unlike deterministic servers.
- Runloop calls this isolated execution environment a "dev box" that gives each agent its own computer for safety and capability.
Agents Behave Like Human Workers
- Agents behave unpredictably and often need many tools and context to complete tasks.
- Treating agents like humans with their own computers unlocks richer, interactive problem-solving behaviors.
Run Agents In Isolated Micro VMs
- Launch agents inside micro virtual machines built from container images to tightly control access and isolation.
- Give agents full local tooling (shell, filesystem, networking) to maximize capability while containing risk.