ENDE

Environment & Energy

How much water do data centers use every day?

Data centers need huge amounts of water, both for on-site cooling and indirectly through the electricity they consume. A June 2026 UN University study put the water footprint of that electricity at 4.5 trillion liters for 2025. Google disclosed 29 billion liters of direct cooling water in 2023; Microsoft 6.4 billion. US data centers alone: 64 billion liters for direct cooling. AI workloads generate more heat, so water demand is rising fast. Each ChatGPT conversation uses about 500ml of water for cooling.

Roughly 143K l every second.

litres of water consumed by global data centres today

12.3B L/dayglobal consumption
~500 mlper 20 ChatGPT questions
↑ risingwith AI expansion
The thirsty cloud: data centres cool servers using water-based cooling towers. A 2023 UC Riverside study found that ChatGPT consumes roughly 500 ml of water for every 20-50 questions. As AI workloads grow, so does water stress in already-dry regions where hyperscale data centres cluster.

Source: UNU-INWEH (2026); IEA Data Centres Report 2023; UC Riverside / Li et al. (2023). AnythingCounter overview →

Cite this rate

AnythingCounter derived rate, last checked August 2026: about 12.3 billion L per day.

Method: Based on United Nations University (UNU-INWEH) 2026, shown as a daily rate.

Suggested citation: AnythingCounter, "Water consumed by data centers," August 2026, https://anythingcounter.com/datacenter-water-per-day

Primary source: United Nations University (UNU-INWEH).

Data centre water vs. energy, today

Water and electricity are the twin costs of running the internet. Both are under pressure as AI workloads surge.

Water used today (litres)
- so far today- this year
litres of cooling water consumed today
+
Energy used today (kWh)
- so far today- this year
kWh of electricity consumed today

What this means for you

Sending 100 emails consumes approximately 50 grams of water in data centre cooling. Streaming an hour of HD video uses around 100ml. A single ChatGPT conversation of 20-50 messages can consume the equivalent of a 500ml bottle of water, according to a 2023 UC Riverside study.

As AI workloads scale, the water intensity of computation is increasing sharply. Microsoft's 2023 sustainability report disclosed that its global water consumption increased 34% year-over-year, driven primarily by AI infrastructure.

Data centres typically draw water from local aquifers or municipal supplies, meaning they directly compete with agriculture and drinking water in drought-stressed regions. Several US states and EU regulators are now requiring data centre operators to disclose water usage and obtain permits, creating new infrastructure constraints for AI expansion.

Water consumption: the key figures

UNU-INWEH (June 2026): the electricity powering the world's data centers carried a water footprint of ~4.5 trillion liters in 2025, about 6.8 times the earlier ~660 billion liter IEA-based estimate. The gap comes mostly from a broader accounting method, not a sudden surge in actual water use

Global data centers consumed ~560 billion liters of water in 2023 (IEA); scaled to 2025 with AI-driven growth, the earlier estimate reached ~660 billion liters/year, before UNU-INWEH's broader footprint methodology revised the picture upward

IEA: a typical 100 MW US hyperscale data center consumes ~2 million liters (530,000 gallons) of water per day, including direct cooling and power generation

Microsoft 2022: 6.4 billion liters, a 34% year-on-year increase driven by AI infrastructure expansion

US data centers consumed ~64 billion liters for direct cooling in 2023; projected to double or quadruple by 2028

Training GPT-3 is estimated to have required 700,000 liters of freshwater (UC Riverside, 2023)

Data centers vs. water: the hidden cooling crisis of the AI age

The hidden water footprint of AI

The energy footprint of AI receives significant attention, but the water footprint is less discussed and equally significant. A 2023 study by UC Riverside found that ChatGPT's conversational interface, run at scale, consumes the equivalent of a standard 500ml water bottle per 10-50 responses. Training GPT-3 consumed an estimated 700,000 liters of freshwater. As AI inference scales to billions of daily users, the aggregate water consumption grows proportionately. Microsoft's AI-integrated Office 365 and Azure services drove a 34% jump in its water use in a single year.

Location, location, location

Where a data center is built determines its water stress impact. Many major data centers in the US are located in the desert Southwest (Arizona, Nevada), regions already experiencing severe water scarcity. A data center in a water-stressed region using 15 million liters per day has a much greater environmental impact than the same facility near abundant freshwater sources. Data center operators are increasingly required to disclose water usage data; Microsoft committed to becoming water positive (returning more water to watersheds than it consumes) by 2030.

Data centre water consumption trends: 2020-2026

Data centres rely on evaporative cooling towers that consume 1-5 litres of water per kWh of IT load. Global data centre water consumption reached an estimated 1 trillion litres in 2022, with AI inference queries adding a further estimated 500 ml per 20-50 requests, comparable to a bottle of water for a few minutes of chatbot use.

2020
0.7 GL/d
2022
1.1 GL/d
2025
1.8 GL/d
2026
12.3 GL/d
0.006B12B17B23B20202022202520262028ESTIMATED685M1B2B12B~20B
YearRate (L/s)GL/dayContext
20208K L/s0.68 GLPre-AI era; steady growth
202213K L/s1.10 GLAI-driven acceleration; Google +34%, Microsoft +34%
202521K L/s1.81 GLAI inference at scale; growing demand across all hyperscalers
2026143K L/s12.33 GLUN University study switches to a footprint-based method, counting water embedded in electricity generation, a broader scope than direct cooling withdrawal
2028 (forecast)235K L/s20.27 GLAI data center expansion continues on the UNU-INWEH growth path toward 2030

When data centre water use became a public issue

  1. 2012Large hyperscale data centers begin using evaporative cooling at massive scale; water consumption becomes a known issue
  2. 2020Global data center water consumption estimated at ~250B liters/year; major operators set water efficiency targets
  3. 2022Microsoft water use +34% in one year; Google: 20B liters; AI workloads begin water demand step-change
  4. 2023UC Riverside study: ChatGPT uses ~500ml water per conversation; Google: 29B liters; US: 64B liters direct cooling
  5. 2024Microsoft launches zero-water cooling datacenter design; global estimate reaches ~660B liters/year
  6. 2026UNU-INWEH study finds the electricity powering global data centers carried a water footprint of ~4.5 trillion liters in 2025, about 6.8 times the earlier IEA-based estimate, mostly due to a broader accounting method
  7. 2030Microsoft commitment: water positive by 2030; projected doubling of data center water demand without efficiency innovation

Industry and academic research on data centre water

YearFindingValueSource
2020US data centers: ~35 billion liters/year direct cooling water; global ~250B liters estimated250.0B global liters/year (2020 est.)FDM Group
2022Google: 20B liters; Microsoft: 6.4B liters (+34%); global estimate ~400B liters; AI workloads begin driving step-change400.0B global liters/year (2022 est.)FDM Group
2023Google: 29B liters; US total 64B liters direct cooling; researchers: ChatGPT uses ~500ml per conversation in cooling water660.0B global liters/year (2023 est.)FDM Group
2025FDM 2025: ~660 billion liters/year globally; Microsoft launches zero-water cooling datacenter design August 2024660.0B global liters/year (2025)FDM Group
2026UNU-INWEH: water footprint of global data center electricity use reaches ~4.5 trillion liters for 2025, calculated from country-level water-intensity factors applied to 448 TWh of electricity. Broader methodology than prior on-site consumption estimates4500.0B global liters/year (electricity water footprint, 2025)United Nations University (UNU-INWEH)
2028Projection: US data center water demand to double or quadruple to 128-256B liters/year by 2028 as AI expandsUS projection 2028FDM Group
2030UNU-INWEH projection: the water footprint of data center electricity could reach ~9.3 trillion liters/year by 2030 as global electricity demand climbs to 945 TWh9300.0B global liters/year (projected 2030)United Nations University (UNU-INWEH)

12.3 billion litres per day in perspective

4.5 trillion liters is enough to fill 1.8 million Olympic swimming pools, or meet the basic annual domestic water needs of more than 600 million people in Sub-Saharan Africa (UNU-INWEH, 2026)

Training a single large AI model uses approximately 700,000 liters of water, more than a lifetime of drinking water for an adult

How the number is calculated

A June 2026 UNU-INWEH report puts the water footprint of data centres' 2025 electricity use at approximately 4.5 trillion litres ÷ 31,536,000 seconds = approximately 142,700 litres/second, using country-level water-intensity factors (litres per kWh) applied to the 448 TWh data centres consumed that year. This is a broader, footprint-based methodology than the earlier ~660 billion litre estimate (IEA), which explains most of the roughly 6.8-times jump: it counts water embedded in generating the electricity itself, not just what evaporates from cooling towers on-site. Google's disclosed 29 billion litres in 2023 and Microsoft's 6.4 billion litres remain useful as on-site withdrawal cross-checks, though they are not directly comparable to this footprint figure. AI-specific water use: each ChatGPT session (20-50 queries) ≈ 500 ml, per University of California Riverside research.

Sources: see below. Full methodology: methodology page.

Frequently asked questions

How much water do data centers use globally per year?
A June 2026 UN University (UNU-INWEH) study puts the water footprint of global data center electricity use at approximately 4.5 trillion liters for 2025, using country-level water-intensity factors for power generation. That number is far higher than earlier on-site consumption estimates because it counts water embedded in generating the electricity itself, not just what data centers withdraw directly for cooling: US data centers alone consumed ~64 billion liters in 2023 for direct cooling, Google disclosed 29 billion liters withdrawn in 2023, and Microsoft reported 6.4 billion liters in 2022 (a 34% year-on-year increase).
Why do data centers need so much water?
Most large data centers use evaporative cooling systems (cooling towers), where water absorbs heat from the building and then evaporates, carrying the heat away. This is highly efficient but consumptive: the water evaporates and is permanently lost. Additionally, thermoelectric power plants that generate electricity for data centers also require cooling water.
Is AI making the water problem worse?
Yes. AI workloads require high-density GPU clusters that generate significantly more heat per rack than traditional servers, requiring more aggressive cooling. Researchers at UC Riverside estimated that training GPT-3 consumed 700,000 liters of freshwater. Each ChatGPT conversation is estimated to require cooling water equivalent to a 500ml bottle.

How the data centre water estimate is sourced

The primary academic source is Shaolei Ren's work at UC Riverside and the 2023 Nature Machine Intelligence paper on AI water consumption. Corporate water disclosure comes from Google's Environmental Report 2024, Microsoft's 2023 Sustainability Report, and Amazon's Sustainability report. The current global figure comes from UNU-INWEH's June 2026 report, which models the water footprint of data centre electricity use from country-level water-intensity factors rather than tallying on-site withdrawal directly, so it is not a straight comparison to Google's or Microsoft's disclosed cooling-water numbers. Earlier global totals were modelled from IEA data centre energy consumption cross-referenced with published water-use effectiveness (WUE) industry benchmarks from the Uptime Institute.