AI analyst topic
AI Infrastructure Research
Study the systems and economics required to deploy AI workloads reliably at scale.
Coverage
- Hyperscale cloud platforms and accelerated-compute services.
- Data-center construction, power availability, and cooling.
- Networking, storage, observability, and workload orchestration.
- Utilization, pricing, and return on infrastructure investment.
Evidence to monitor
- Capital expenditure, remaining performance obligations, and cloud growth.
- Capacity additions, utilization, energy cost, and customer commitments.
- Inference economics and the pace of enterprise workload migration.
Key risks
Overbuilding, low utilization, power constraints, financing costs, and rapid hardware efficiency gains can change infrastructure returns.