InfrastructureAug 28, 2026watch
The AI infrastructure boom is spreading into networking, edge, and robotics
The first phase of the AI infrastructure boom was easy to describe: everyone needed GPUs. The next phase is messier and more important. AI systems now need faster networks, better inference stacks, power contracts, data-center automation, edge devices, and deployment tooling that can keep products online.
Why it matters: For AI builders, this changes what diligence looks like. A model choice is also an infrastructure choice: latency, cost, uptime, geography, and scaling path all shape the product. The companies that understand the whole stack will have more room to ship useful AI than those chasing raw GPU counts alone.