Drinking AI: AI/Water Consumption Comparisons to Beverages
This article compares the water consumption of AI systems like ChatGPT to various beverages (beer, coffee, milk, etc.). It finds that while AI uses significant water, it is far less than the total water footprint of major US beverage categories. The piece also explores 2026 AI water trends and the shift from queries to agentic tasks.
Water arithmetic
Drinking AI
Asking ChatGPT 30 questions a day for a year uses about a fifth of the water behind one beer — counting both data-center cooling and the power plants behind it, the same supply-chain accounting the drink figures use. One beer ≈ 53,300 queries; by OpenAI's cooling-only figure, 331,000. Pick a drink, shift the scope, or count by agentic tasks, then see how whole US drink categories compare with everything AI drank in 2025 — and what it is on track to drink in 2026.
One drink in ChatGPT queries
One beer ≈
53,300
average ChatGPT queries
Enough water for 30 queries a day for 5 years.
Across accounting scopes: 2,370–331,000 queries.
Water counted per unit
Counting by
Aggregate view
A year of US drinks vs a year of global AI
A 2026 Patterns paper models the water footprint of all AI systems worldwide at 312.5 billion liters to 764.6 billion liters in 2025. The bars share one linear scale.
All global AI 2025, modeled 312.5 billion liters – 764.6 billion liters
Solid: low estimate. Faded: high estimate. World total, all AI systems, consumption.
All global AI 2026, projected extrapolation 468.8 billion liters – 1.1 trillion liters
Claude estimate: 2025 scaled by 1.5× AI-power growth (published rates span 1.3–2.45×). Still a sliver of the chart.
US coffee 2024/25 25 trillion liters 33–80x AI
1.57 billion kg of green coffee (26.2M 60-kg bags) · 15,897 L per kg green coffee — measured by bean mass, not brewed volume · USDA FAS coffee report, Mekonnen & Hoekstra 2011
US milk 2024 20 trillion liters 26–64x AI
43.2 billion lb of fluid milk sold · 1,020 L per kg, same source as the calculator · USDA ERS dairy data, Mekonnen & Hoekstra 2012
US soda 2025 15.3 trillion liters 20–49x AI
12.0B gallons, derived from IBWA per-capita figures · 338 L per L — the low end of the published range · IBWA 2026 progress report, Ercin, Aldaya & Hoekstra 2011
US beer 2023 7 trillion liters 9.2–22x AI
6.17B gallons (NIAAA) · 300 L per L, same source as the calculator · NIAAA Surveillance Report 122, Mekonnen & Hoekstra 2011
US orange juice 2021 3 trillion liters 3.9–9.6x AI
0.75B gallons (USDA ERS, latest year in the series) · 1,064 L per L, same source as the calculator · USDA ERS fruit-juices table, Mekonnen & Hoekstra 2011
US wine 2023 2.9 trillion liters 3.8–9.3x AI
0.89B gallons (NIAAA) · 860 L per L, same source as the calculator · NIAAA Surveillance Report 122, Mekonnen & Hoekstra 2011
US tea 2023 soft estimate 2.3 trillion liters 3–7.3x AI
86 billion servings (Tea Association estimate) · 27 L per serving (3 g tea); the softest figure on the chart · Tea Association of the USA, Mekonnen & Hoekstra 2011
US bottled water 2025 88.4 billion liters 0.1–0.3x AI
16.8B gallons, preliminary (IBWA) · 1.39 L per L facility ratio — the one category below the AI range · IBWA 2026 progress report, IBWA 2024 benchmarking
The eight categories sum to 75.6 trillion liters a year — 99–242x the 2025 AI range, or 66–161x the projected 2026 range. The AI estimate covers the world; the drink totals cover the US only, so world drink totals would sit further right.
Where this is heading
2026, and the shift from queries to agents
Extrapolating to 2026
No one publishes a 2026 AI-water figure, so this is a Claude estimate. The Patterns model is mechanically AI power × a fixed water intensity, and AI power grew 2.45× from 2024 to 2025. Published rates for 2025→2026 run from ~1.3× (IEA accelerated servers) up to that 2.45× pace; scaling the 2025 range by a central 1.5× gives roughly 468.8 billion liters to 1.1 trillion liters for 2026. A UN University study independently implies about 0.9 trillion L of AI water in 2025, near the same band. Even on the most aggressive growth, the drink categories still outweigh AI by tens of times.
A query is becoming a task
The published per-query figures are median single prompts. Reasoning models emit far more tokens, and agents chain many calls per task, so the honest unit is shifting. At the default 2 mL scope, one beer is:
53,300 average ChatGPT queries
5,330 reasoning responses · 10× a query
3,550 agentic tasks · 15× a query
Multipliers from Epoch, Jegham et al., and Anthropic (multi-agent ≈ 15× a chat's tokens). Per-task water rises, but so does what each task does — a beer still covers thousands of even the heaviest ones.
Methodology
What's measured, and what isn't
The per-query figure is a range
Published water-per-query numbers span more than 100x, almost entirely because of where the boundary is drawn. OpenAI and Google report about 0.26–0.32 mL for data-center cooling alone. Add the water used to generate the electricity and an efficient 2025 model lands near 2 mL (Jegham et al.). A full per-response life-cycle assessment of a large model reaches 45 mL (Mistral). The selector shows all three and defaults to the middle scope — the boundary that matches the drinks' supply-chain accounting. Even at 45 mL, one beer still equals more than 2,000 queries.
The AI annual figure
de Vries-Gao (Patterns, 2026) models AI worldwide at 312.5–764.6 billion liters consumed in 2025, built up from data-center disclosures rather than a directly reported total. It covers the whole world. LBNL separately puts all US data centers near 17 billion gallons on-site in 2023. A competing projection from Li & Ren reaches 4.2–6.6 billion m³ by 2027, but measures withdrawal, not consumption — a different quantity, so it is not charted here.
Drink footprints
Beer, wine, juice, coffee, tea, and milk use the canonical peer-reviewed crop and animal water tables (Mekonnen & Hoekstra 2011, 2012) — full green, blue, and grey water. Coffee and tea are set by bean and leaf mass, not cup volume. Soda uses the low end of the 169–309 L range (Ercin et al. 2011). Bottled water is a 1.39 L/L facility ratio and tap water is just the glass, so both understate next to the crop-based drinks. Spirits is the one industry figure, and the crop literature suggests it undercounts.
US volumes
Each category uses its latest public total: beer and wine from NIAAA (2023), orange juice from USDA ERS (2021, the latest in the series), milk from USDA ERS (2024), coffee from USDA FAS (2024/25, by bean mass), bottled water and soda from IBWA (2025). Soda has no published total, so it comes from IBWA's own per-capita figure and implied population. Tea is the softest number — an industry serving count (Tea Association). Andy Masley's post prompted the question.
Sources
All linked
AI water
OpenAI / Sam Altman
Average ChatGPT query: 0.34 Wh and 0.000085 gallons (0.32 mL) of water. June 10, 2025.
Google Cloud
Median Gemini Apps text prompt: 0.24 Wh and 0.26 mL of water, defined as data-center cooling only. 2025.
Jegham et al. 2025
"How hungry is AI?" Adds power-plant water: GPT-4o lands near 2 mL per query on an all-in operational basis.
Mistral AI
ISO-reviewed life-cycle assessment: 45 mL of water per 400-token response from a large model. 2025.
Li & Ren — "Making AI less thirsty"
GPT-3 consumed roughly a 500 mL bottle per 10–50 responses; 2027 global AI withdrawal projected at 4.2–6.6 billion m³.
de Vries-Gao, Patterns 2026
AI's modeled global water footprint reaches 312.5–764.6 billion liters in 2025.
LBNL 2024 data-center report
US data centers consumed 17.4 billion gallons on-site in 2023, plus ~211 billion gallons via electricity.
Workload & growth
Anthropic engineering
Multi-agent systems used about 15x the tokens of a chat interaction; single agents about 4x.
Epoch AI
A typical query is ~0.3 Wh; reasoning models emit ~2.5x the tokens; AI data-center power was ~30 GW in late 2025.
IEA — Energy and AI
Data-center electricity 415 TWh (2024) to ~945 TWh by 2030; accelerated servers grow ~30% a year.
UN University (UNU-INWEH)
All data centers used ~4.5 trillion L of water in 2024/25 (AI ~20% of it), heading toward 9.3 trillion by 2030.
Drink footprints
Mekonnen & Hoekstra 2011
The canonical crop-water table: beer 298, wine 869, orange juice 1,018, coffee 18,925, tea 8,856 L/kg.
Mekonnen & Hoekstra 2012
Farm-animal products: milk at 1,020 liters of water per kg.
Chapagain & Hoekstra 2007
The classic "140 liters per cup of coffee" study; 30–34 L per cup of tea.
Ercin, Aldaya & Hoekstra 2011
Sugar-containing carbonated beverage: 169–309 liters per 0.5 L bottle; 99.7% in the supply chain.
IBWA 2024 benchmarking
Bottled water facilities used 1.39 liters of water per liter bottled in 2022.
spiritsEUROPE 2020
Industry figure: about 18 liters of water per serving of spirits. Not peer-reviewed.
US volumes
NIAAA Surveillance Report 122
US beer (6.17B gal) and wine (0.89B gal) volumes, 2023.
USDA ERS fruit-juices table
US orange juice: 747.4 million gallons in 2021, the latest year in the series.
USDA ERS dairy data
US fluid milk sales: 43.2 billion pounds in 2024.
USDA FAS coffee report
US green-coffee consumption: 26.2 million 60-kg bags in 2024/25.
Tea Association of the USA
Americans drank about 86 billion servings of tea in 2023.
IBWA 2026 progress report
Preliminary 2025: 16.8 billion gallons of bottled water; per-capita 47.5 gal water, 33.9 gal soda.
Context
Andy Masley
"Using ChatGPT is not bad for the environment" — the post that prompted this page.