From Enterprise AI Adoption to Semicap Equipment: Sizing the AI Build-out

上午 11:10 - 上午 11:35

Enterprise AI spending is the key input for assessing the sustainability of the AI infrastructure build-out, and the earliest read on where it goes next comes from the buyers themselves.

 

In this presentation we start with enterprise adoption data and work through gigawatts, wafers and equipment, sizing what the AI build-out asks of the supply chain by 2030.

 

Key Technologies Covered

  • Enterprise AI adoption, agentic usage and budget allocations
  • Hardware and memory price inflation
  • Datacenter capacity, capex per gigawatt and the total cost of the AI build-out
  • Wafer and equipment intensity of AI capacity, from gigawatts to wafer fab equipment
  • Long-term supply agreements and what they mean for cyclicality in the equipment sector

Featured Speakers

Mr. Rolf Bulk

Mr. Rolf Bulk

Head of Semiconductors & Infrastructure, Futurum Group

Rolf Bulk is Head of Semiconductors and Infrastructure at Futurum Group, where he leads the team covering the global semiconductor and AI-infrastructure value chain. His research focuses on the AI compute stack, spanning data-center power demand, accelerators and custom silicon, logic and memory semiconductors, foundry, advanced packaging, and semiconductor capital equipment.

His work is centered on Futurum’s proprietary framework, which connects data-center power demand to accelerator deployments, memory and logic content, wafer capacity, equipment spending, and company-level revenue and earnings implications. The framework helps institutional investors assess where AI infrastructure demand is translating into durable semiconductor growth, where supply-chain bottlenecks are emerging, and where market expectations may prove too conservative or too aggressive.

Before joining Futurum, Rolf was a Senior Analyst and co-founder of the Technology vertical at New Street Research, where he covered semiconductor and infrastructure stocks across Europe, the US, and Asia. Earlier, he was part of Bernstein’s European semiconductor team, which held an Institutional Investor #1 ranking. He holds an MSc in Finance from the Stockholm School of Economics and is based in Singapore.