? Data to start your week: The AI buildout
Megawatts, golf courses and bipartisan peace
As regular readers of Exponential View know, the AI economy is scaling exponentially. Its physical dependencies ā power, water, land, permits ā do not. The gap between those curves defines the next phase of the build-out. We dig into the numbers behind this gap in today's Data edition.
Demand is locked in. Data center capacity is not hypothetical ā 89% that is under construction in North America is pre-leased and barely a tenth of new supply is uncommitted. We are in a stampede after all (not a bubble). The grid is the bottleneck. America's data center pipeline has exploded to 241 GW ā up 159% in a single year ā but two-thirds of it is stuck. Grid connection queues and labor shortages mean most of that capacity exists only on paper.
The mainstream has long picked the wrong fight over water. Golf courses in the US consume more than 30x as much water as the entire country's data center industry uses for cooling.
Pledges all round. Anthropic promised to pay 100% of the grid upgrades for its data centers. Meanwhile, Microsoft committed to cutting data center water-use intensity 40% by 2030 and Google pledged to replenish 120% of the freshwater it consumes. The pledges will help, but they address a resource that data centers use far less of than is commonly assumed. The externality that communities actually live inside is harder to offset with a corporate commitment: heat and jobs.
A recent preprint using satellite data reports that land surface temperature around data centres rises by 2Ā°C on average after construction. The likely impact of this heat on local ecosystems and communities is a growing concern. While some companies are investing in cooling technologies and renewable energy sources to mitigate their environmental footprint, the heat generated by data centers remains a significant challenge for surrounding areas.
Additionally, the demand for data centers is creating job opportunities in the technology sector. However, the rapid expansion of these facilities can also lead to increased competition for land and resources, putting pressure on local economies and infrastructure.
In conclusion, the AI buildout is accelerating at an unprecedented pace, but its physical dependencies are struggling to keep up. While companies are making commitments to reduce their environmental impact, the challenges posed by heat and job creation in local communities remain complex and require careful consideration. As the demand for data centers continues to grow, it is essential for policymakers, businesses, and communities to work together to address these issues and ensure sustainable development in the AI economy.
