A headline you’ve probably seen

“ChatGPT drinks a 500 ml bottle of water for every 20–50 questions.”

Euronews, 2023 · from a UC Riverside study (Ren et al.)

That’s real. But is AI the water problem?

Q1 Q12 Q27 Q41

Follow the water

Where it really goes, the AI myth, and who’s fixing the real problem

UN SDG 6 · Clean Water & Sanitation  /  Anders Imbrie  /  [Course] · [Date]

01The basics
02The AI myth
03The real problem
04Who’s fixing it
05What to do

01 · The basics

Four words that change the story

Withdrawal

Water taken from a river, lake or aquifer. Much of it flows back.

Consumption

Water that never comes back: it evaporates or goes into a product.

Water stress

Demand close to a region’s renewable supply. Always local.

Water footprint

All the water behind a product, across its whole supply chain.

Ask the class

All US data centers, running for a whole year. US farms use up that much water in about…

Tap = +1 vote · Shift-tap = −1

Follow the water

01 · The basics

Not all water use is equal

Farm irrigation

118B

GALLONS / DAY

62% used up by crops and evaporation

Power plants

133B

GALLONS / DAY

Only ~3% used up. The rest goes back, warmer

Data centers

17B

GALLONS / YEAR

70–80% evaporates in cooling towers, from one town’s supply

It’s not how much. It’s where and when.

Used upFlows back
Follow the waterUSGS 2018 (2015 data) · LBNL 2024 (2023 data) · The Register 2025

02 · The AI myth

AI and water: how bad is it, really?

0h6h12h18h 5.6h OF 24
Poll answer: C

A full year of US data-center water ≈ 5.6 hours of US farm irrigation.

17B gal/yr direct (LBNL, 2023) ÷ 73B gal/day consumed by irrigation (USGS, 2015)

Add the power plants that run them
≈ 3 days. Still small, nationally.

Real downsides
  • Clustered in dry towns
  • Power-plant water ≈ 12×
  • Could grow 2–4× by 2028
Real upsides
  • Closed-loop cooling: ~0 water
  • Efficiency rising fast
  • Tax revenue for towns
Follow the water

03 · The real problem

Farms, pipes and people

Farms 71%Industry 15%Cities 13%

71%

of the world’s freshwater withdrawals go to farming

FAO AQUASTAT, 2022 data

126B m³

of treated water lost to leaks every year. Since this slide opened:

0 L

Liemberger & Wyatt, 2019 · ≈ 4M liters per second, ~$39B a year

2.1B

people still lack safely managed drinking water: 1 in 4

WHO/UNICEF JMP, 2025

By 2030, demand is projected to outstrip supply by 40%.

Global Commission on the
Economics of Water, 2023

Follow the water

04 · Who’s fixing it

Business is moving, but on which problem?

Fixing data centers
M

Microsoft

PEOPLEPROFITPLANET

125M Lsaved / site / year

Closed-loop chip cooling in every new design since 2024

A

Amazon

PEOPLEPROFITPLANET

2.5B galfirst disclosure, 2025

Says about two-thirds goes back to local communities

Fixing the real problem
N

N-Drip

PEOPLEPROFITPLANET

−57%water, IRRI rice trial

Gravity-powered drip irrigation built for small farms

L

Levi Strauss & Co.

PEOPLEPROFITPLANET

−96%finishing water

Water<Less process; 3B+ liters saved so far

My take

Tech has the worst headlines but moves fastest. Farms need the most help.

Follow the water

05 · What to do

Three moves for any business

01

People

Build where water is plentiful, and invest in the local systems you draw from.

02

Profit

Price water risk in. Droughts shut plants, and leaks waste $39B a year.

03

Planet

Go after the 71%: fund efficient irrigation with farm suppliers, and reuse water.

Water is a local problem with global supply chains.

Ask the class

Would you build your next data center in Arizona? Why or why not?

Follow the water

Process

How I used AI

What Claude did

Claude (Anthropic), Claude desktop app

  • Searched news, UN and USGS sources
  • Flagged where sources disagreed
  • Planned timing for a 7-minute talk
  • Designed and coded this website

What I did

Anders Imbrie

  • Chose the angle and the 4-part outline
  • Asked for the farm vs. data-center test
  • Pushed for a stronger design (v1 → v2)
  • [Add anything else you did]

Lesson: AI turned up conflicting numbers for the same fact, so every figure here was checked against its source.

Follow the water

Sources

Works cited

01Anthropic. (2026). Claude [Large language model]. claude.ai

02Data Center Knowledge. (2024). Microsoft unveils zero-water data centers.

03Euronews. (2023, Apr. 20). ChatGPT ‘drinks’ a bottle of fresh water for every 20 to 50 questions.

04Latitude Media. (2026, June 11). Amazon finally reports its annual water use at data centers.

05Lawrence Berkeley National Laboratory. (2024). 2024 US Data Center Energy Usage Report.

06Levi Strauss & Co. (n.d.). Water stewardship.

07Liemberger, R., & Wyatt, A. (2019). Quantifying the global non-revenue water problem. Water Supply.

08Rice Today (IRRI). (n.d.). N-Drip gravity drip irrigation trial in rice.

09Smart Water Magazine. (2025). What AQUASTAT 2025 reveals about agriculture.

10The Conversation, via Civil Beat. (2025, Aug.). Data centers consume massive amounts of water.

11The Guardian. (2023, Mar. 17). Global fresh water demand will outstrip supply by 40% by 2030.

12The Register. (2025, Jan. 4). How datacenters use water.

13U.S. Geological Survey. (2018). Estimated use of water in the United States in 2015 (Circ. 1441).

14WHO & UNICEF. (2025). Progress on household drinking water, sanitation and hygiene 2000–2024.

Follow the water

Speaker notes

← → move · N notes · P presenter view · F full screen

01 / 10

Now

Notes

Time

0:00

Target 7:00

Next