Issue A decade of cloud migration removed the in-house skills AI infrastructure now requires
Summary
Deloitte argues that the shift to AI infrastructure will require reskilling across IT organisations. Data centre teams will need to move from traditional server management to AI-optimised operations, GPU cluster management, high-bandwidth networking and specialised cooling. Network architects must design for AI traffic patterns with GPU-to-GPU communication, massive data transfers and ultra-low latency, and cost engineers must learn to optimise hybrid compute portfolios that account for GPU utilisation and inference economics. Years of cloud migration have eroded much internal data centre expertise, so many organisations struggle to hire people who understand these requirements. The report calls this gap especially challenging for businesses that moved entirely to the cloud. It also frames it as an opportunity for organisations willing to invest in developing their own workforce.
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=40;section=The AI infrastructure reckoning: Optimizing compute strategy in the age of inference economics / Workforce transformation requirements 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 / Workforce transformation requirements 2025-12 accessed 2026-07-26
Constituent trends 2
Directly linked signals 0
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Relation types: constitutes
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