AI
AI
Base44 vibecoding
Attempt at accurate water consumption for the AI industry as it expands unto 2050. There are currently lots of estimates so I attempted to synthesize different benchmarks for each decade. There is not a single estimate out there that is typically used, so this work may be a novel synthesis as of July 18, 2026.
Findings:
AI water consumption is not noticeable unless there is a continued explosion in AI demand up until 2050. So if I were to input a custom growth rate starting at the standard high growth path (700 Billion Litres in 2025, 40% compounding growth) and then taper to 30% and 20% for the next two decades, AI would place as the second highest water usage on the Earth by 2050, behind agriculture. I recommend using the custom growth rate to see whether or not AI would destroy our environment — but even for official low and high estimates by published researchers, AI water use is high but negligible compared to other uses on Earth.
https://aqua-forecast-pro.base44.app
Below I have included, after a few hours of edits, the prompts that put the pieces together:
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I need to change most of the data. In 2025 there was 4500 trillion litres used of water total (or 4.5 trillion m cubed) in the world. I want a disclaimer that says this is given by UNESCO / FAO and represents direct water usage and not total water footprint (e.g. rainwater absorbed by crops), or in other words withdrawal-only (blue water) accounting. From this we can do rough estimates, about 2520 Trillion liters is agriculture (56%); livestock factory farming is 630 Trillion liters (14%); other 1349 Trillion liters (30%), and then the AI figures below. We can expect this to grow with population levels at about 0.8% up until 2035, 0.6% from 2035 to 2045, and then 0.4% from 2045 - 2050.
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For AI, "indirect water consumption is incredibly difficult to measure, and tech companies almost never disclose it;" The Rare Exception: Industry researchers note that Meta is one of the only companies to explicitly break down both. In its disclosures, Meta reported consuming "3 billion liters directly versus a staggering 72 billion liters indirectly." Continue to document this and add disclaimers: Since the scales are so low for AI compared to other water usage, we will include both direct and indirect effects of what it takes to power AI, for example, powering datacenters, whereas the if we were to calculate the indirect effects of water usage for the other groups we would end with an astronomically high number. Additionally, calculating this number would be extremely difficult and is probably impossible without much disagreement, added on to the idea that "withdrawal statistics are built to measure water directly extracted from a source because that's the number that matters for local water stress, aquifer depletion, and allocation conflicts." AI is electricity heavy as well, so calculating indirect costs of electricity, in which the industry depends on so much, makes sense as the industry scales. *This is a developing thought but it is the core rationale behind the numbers.
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I want sources now for each and you can fit them in attractive places that would give this model more not only more credibility but better optics. I want you to put somewhere that I chose 300 ish billion and 700 ish billion from the best availalable high / low estimate data (see below), and the 9.1 T litre increase (high estimate - to 2030, 65% compounding growth) because that was the most aggressive estimate for AI expansion. I also want them to know that this is an estimate broadly that considers two poles, to which you can configurate custom growth rate by decade.
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I also want a disclaimer here: "The United Nations University (UNU-INWEH): Their global report details long-term impacts, estimating that AI's expanding footprint will match the basic domestic water needs of 1.3 billion people by 2030. This contributes to the high estimate. As well as here: Professor Shaolei Ren (UC Riverside): A leading pioneer in data center hydrology, his foundational papers mapped out the exact water costs per individual AI query (e.g., how a 50-question prompt session can evaporate 500ml of water). And one more: (Nuance) The Nuance: UN researchers warn of a "rebound effect." Even if software gets more efficient, the resulting drop in computing costs could cause an explosion in demand, ultimately driving total water consumption up at its highest possible year-over-year rate." Fit this info in convenient locations.
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312.5 - 765 billion litres AI water usage (note billions, not trillions, as given by the science journal Patterns, by researcher Alex de Vries-Gao - also add De Vries-Gao's methodology explicitly adds direct (on-site cooling) + indirect (water used to generate the electricity AI consumes) into one number. Indirect is the larger piece — his data puts electricity-generation water use at roughly 3–4x the direct cooling water, per kWh). Again, I want a disclaimer added here above the low, high, and custom growth rate buttons so the user knows where we are coming from. Also, this is in 2025 - so this is the start of the period in which we are measuring.
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So from there let's do high growth. Let's add another source - By 2030: The United Nations University (UNU-INWEH) calculates that if AI spikes to consume 40% of all data center electricity without strict cooling overrides, "AI-specific water consumption will hit 9.3 trillion liters annually." This is by 2030 - if it's high (starting at 765 billion litres). You can write this, disclaimer again: The percentage increase here would be, doing the math, roughly 65% COMPOUNDING growth up until 2030, and then to avoid absurd results (in which consumption would be at more water than Earth provides) we taper off to 15% from 2030 - 2040, and then 6% from 2040 - 2050.
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I want you to write the assumptions / rationalization: UNU-INWEH report — "Environmental Cost of AI's Energy Use: Carbon, Water and Land Footprints" (released June 3, 2026), as covered by the United Nations University news release, which states "global data-centre electricity use, estimated at 448 TWh in 2025, could reach 945 TWh by 2030." This is corroborated independently by PBS and KSL coverage of the same report. Checking the CAGR: (945/448)^(1/5) − 1 ≈ 16.1%/yr ; so match this with water and we get a safe assumption. However, this assumes 1:1 comparison with water to electricity; it's most likely close.
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Why 6% for 2040–2050? It's reasounable because it's roughly half the prior decade's rate, consistent with a maturing industry where the "AI share of electricity" driver is already saturated (it can't double again — you're already near its ceiling by 2030–2040), leaving growth driven mainly by new compute/electricity demand rather than a AI / electricity share-shift.
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So from here we can go low estimate, low growth rate (starts at 312.5 B litres) - add the source - By 2030: "The International Energy Agency (IEA) maps out a highly conservative baseline where optimized data centers restrict global AI and cloud water consumption to 1.2 trillion liters—nearly 8 times less than the UN's high-growth 2030 spike."
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This would suggest a compounding level (300 to 1.2 ) Growth rate, 300B → 1.2T (2025–2030):
Ratio = 1,200/300 = 4x. CAGR = 4^(1/5) − 1 ≈ 32%/yr — roughly half the 65%/yr from the high scenario, which makes sense as a low bookend. Write out this math as an assumption of course.
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ScienceDirect/EarthArXiv - the paper "Sustainable AI infrastructure: A scenario-based forecast of water footprint under uncertainty" rationale (write this in source): this is a neutral paper that gives us actual predicted benchmarks. So combined with the low estimate (300B to 1.2 T), this makes sense to use given its prestige. From 2030 - 2040 we will see 7.5% (which sits at the middle of their two predicted paths: moderate intervention at 5% and business-as-usual at 10%) and 2040 - 2050 at 3% per year, given things taper off. It's helpful to note that this paper predicts three paths. Here I made the heuristic that two of the paths are most true for the future: Business as usual and moderate intervention. Sustainable intervention would probably require utopian imagining and resources, and connectedness that the world does not have. Write this assumption.
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