Issue Infrastructure procurement moves from periodic human decisions to continuous agent decisions
Summary
Deloitte expects AI agents to take over much of the management of AI infrastructure itself. As that infrastructure grows more complex, traditional IT playbooks are unlikely to handle the dynamic optimisation AI workloads require. Custom AI copilots for IT operations are already emerging that summarise alerts, suggest root causes and propose remedies, and such agents are extending into capacity planning and vendor selection. Amazon Web Services, for example, has published patterns in which agents analyse capacity reservations and recommend actions. The report sees these as precursors to fully autonomous agents juggling model choice, instance types, spot versus reserved pricing and multicloud cost and carbon. Procurement thus becomes continuous and algorithmic, with agents making real-time decisions based on workload demand, cost shifts and performance needs.
Classification
Evidence 2
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=41;section=The AI infrastructure reckoning: Optimizing compute strategy in the age of inference economics / AI agents managing AI infrastructure 2025-12 accessed 2026-07-26
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=41;section=The AI infrastructure reckoning: Optimizing compute strategy in the age of inference economics / AI agents managing AI infrastructure 2025-12 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-e0e63fc128bf
