Trends
AI infrastructure trends for 2025–2030 include next-generation GPU architectures, liquid cooling standardisation, sovereign AI proliferation, edge AI adoption, and the structural shift from training to inference as the dominant infrastructure demand driver.
the GPU roadmap is driving infrastructure evolution: prior-generation GPUs (2023–2024) established the current standard; current-generation GPUs (2024–2025) double performance with 192 GB high-bandwidth memory; next-generation GPUs (2026) are expected to deliver another 2–3x improvement. Each generation requires upgraded power (100+ kW per rack), enhanced cooling (direct-liquid mandatory), and updated networking (NDR 400G+).
This generational cadence creates both opportunity and risk for infrastructure investors: newer GPUs command premium pricing but older GPUs depreciate rapidly. Constellation's strategy is to deploy current-generation GPUs with flexible infrastructure that accommodates future upgrades, maximising asset lifecycle value.
Direct-to-chip liquid cooling is becoming mandatory for AI data centers as rack densities exceed 30 kW (air cooling's practical limit). By 2026, virtually all new AI data center deployments will use liquid cooling — representing a fundamental shift in data center design from air-handling to fluid management.
This shift advantages purpose-built AI facilities (like Constellation's) over retrofitted legacy data centers, which cannot economically add liquid cooling infrastructure. The transition also creates a moat: once a facility is liquid-cooled, it is structurally differentiated from air-cooled competitors for the entire asset lifecycle.
While AI infrastructure investment has been training-dominated (frontier model labs), the market is shifting toward inference as models reach production deployment. By 2027, inference is projected to represent 60%+ of AI compute demand — creating demand for geographically distributed, latency-optimised inference infrastructure rather than centralised training clusters.
Constellation's MENA-India corridor positions the company for this shift: serving inference demand for 2+ billion users in the region who currently rely on US-hosted AI models with unacceptable latency.
Over 30 countries have launched sovereign AI programmes, creating multi-billion-dollar infrastructure demand that is government-backed, long-duration, and recession-resistant. This trend is accelerating as nations recognise AI capability as a strategic national asset comparable to energy or telecommunications independence.
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