According to Omdia, cumulative global data centre investment is expected to reach $1.6 trillion by 2030, while leading technology companies are projected to spend more than $600 billion on AI infrastructure in 2026 alone.
Global spending on AI infrastructure is transforming data centres into “AI factories”, a new type of heavy industrial infrastructure that aims to produce intelligence.
Dynamics redefining AI infra in 2026
As the market navigates challenges such as long time-to-market and ROI validation, digital sovereignty, AI talent gaps, and systemic engineering complexity, Omdia has identified five primary dynamics reshaping the industry this year:
- Dynamic 1 — From FLOPS to TTFT: Budgets for compute hoarding have been frozen as enterprises confront a “Zombie GPU” effect, in which expensive GPUs idle in I/O wait; evaluation metrics are shifting to Time-to-First-Token and vector retrieval speed
- Dynamic 2 — Hyperscalers balance agility and sovereignty: Two delivery paradigms include one called “full-stack drop-in” that enables public cloud-grade AI capabilities deployed as an integrated physical unit into the customer’s data centre; the second, called software/hardware decoupling, is a downward path defined by localisation of software capabilities and ecosystem-driven hardware
- Dynamic 3 — Compute-native AI cloud upgrade: Rack power density has risen from 10–15 kW in 2024 to 40–250 kW in 2026, while workloads progress from PoC to production-grade deployment
- Dynamic 4 — The “last mile” of AI industrialisation: Vertical integrators, domain operators, and ISVs are capturing the final value layer through long-cycle data governance, legacy integration, and scenario-specific agent assembly, while Inspur Cloud pursues a strategy of integrated heavy-asset AI infrastructure and intensive, scenario-grade operation of AI industrial assembly lines.
- Dynamic 5 — Rise of sovereign data factories: Regulatory frameworks such as the EU AI Act, DORA, and equivalent compliance frameworks are driving requirements for sensitive data to remain within physically isolated facilities
“Future competition will no longer be defined by model parameters or GPU counts, but by a comprehensive contest of energy, liquid cooling, chips, autonomous software stacks, sovereign compliance, and long-term capital endurance,” said Raymond Zhan, senior principal analyst, Cloud & AI at Omdia.
