14/10/2026
A 2026 Water Research study estimates that ’s global water footprint could reach 4.2–6.6 billion m³ by 2027. Around two-thirds of data centres built after 2022 are located in water-stressed regions.
As AI adoption accelerates, so does its , creating new demands on infrastructure, energy, natural resources and supply chains.
Kyiv Consulting’s Research & Analytics Hub explored:
- What powers AI behind the scenes
- The resources needed to build and run AI systems
- Growing demand for electricity, water, land and critical minerals
- Bottlenecks in power supply, cooling and grid capacity
- What these constraints mean for businesses scaling AI
➡️ Read the full article to discover what it will take to sustain AI at scale by 2030: https://kyivconsulting.com/insights/physical-footprint-of-ai-infrastructure-2030?utm_source=facebook&utm_medium=social&utm_campaign=physical_ai