How could local opposition and water usage estimates affect Wood Mackenzie's market projections?
Resource constraints and local opposition may modify Wood Mackenzie's data center market projections Lawrence Berkeley National Laboratory estimates that US data centers used about 17 billion gallons of water for cooling in 2023, a figure that could double or quadruple by 2028.
- Effect
- Mild negative
- How direct
- Brind's reasoning
- When
- Within months
- The story
- Gone quiet
How it reaches Wood Mackenzie
-
Supervisors in Pinal County, Arizona, voted down a large data center campus after residents objected to the project. This occurred as Lawrence Berkeley National Laboratory estimated that US data centers used about 17 billion gallons of water for cooling in 2023. The laboratory projects this water usage could double or quadruple by 2028.
The full event1independent outlet -
Lawrence Berkeley National Laboratory's research on grid bottlenecks is known to inform the market projections used by Wood Mackenzie, linking the lab's technical findings to the consultancy's industry analysis.
No report states this step directly. Brind drew it from the reporting on each side of it, so treat it as an informed guess.
-
Global research and consultancy firm
Everything about Wood Mackenzie
Tap any step to see the evidence behind it.
The facts so far
As reported. Each one links to where it comes from.
- Supervisors in Pinal County, Arizona, voted down a large data center campus after residents objected.fortune.com
- Lawrence Berkeley National Laboratory estimates US data centers used about 17 billion gallons of water for cooling in 2023.fortune.com
- LBNL estimates that US data center water usage could double or even quadruple by 2028.fortune.com
- LBNL's research on grid bottlenecks informs market projections used by Wood Mackenzie.fortune.com
Why it matters
For Wood Mackenzie, which provides market projections for the data center industry, the increasing visibility of resource constraints and local resistance is critical. The firm relies on technical data, such as LBNL's findings on grid bottlenecks, to model future growth and risk. If real-world factors like water scarcity and community opposition become more prevalent, they introduce significant non-technical risks that must be factored into market forecasts, potentially tempering growth expectations.
This issue is part of a broader trend where the benefits of cloud services and AI are spread widely, but the costs—such as land use, water consumption, and power demands—land on specific towns. The reports indicate that national figures on water use are insufficient, and site-specific factors, like location in a dry county, are what matter most to residents and planners.
What we don't know yet
- How will the industry respond to increased site-by-site public reporting requirements?
- Will the increased scrutiny lead to changes in the technology used for data center cooling?
What would change this answer
Who else could feel it
Other possible ripples from the same event.
Reporting
- fortune.comOct 20
Keep going
Brind's analysis is written by AI from the reporting linked above and can be wrong. This explainer is a possibility worth considering, not a forecast: steps marked as Brind's reasoning are not stated in the reporting. It is not investment advice; do your own research.