Contextualising AI Consumption
A comparative analysis of the environmental footprint of Artificial Intelligence against other less visible costs, such as social media or the tangible impacts of leisure activities.
The AI Baseline: Training vs. Leisure
To understand AI's impact, we must look at the massive singular event of Training, which can take months of continuous energy consumption. Training GPT-3 generated approximately 552 tonnes of CO₂e (Patterson et al., 2021).
To evaluate fairness, we compare this against sustained leisure activities. A footprint analysis for an "average" US golf course estimates approximately 796.6 tCO₂e per year; therefore, maintaining it for 6 months equals ~398 tCO₂e (CleanFi, 2021).
The "PL Football Weekend" reference is calculated from an aggregated estimate of 80,651 tCO₂e for the 2018/19 Premier League season (fan travel, club travel/accommodation, and stadium energy), implying ~212 tCO₂e per match and ~2,120 tCO₂e for a typical 10-match matchday (Murray, 2021).
Figure 1: Comparative Emissions (tCO₂e). Sources: CleanFi (2021); Murray (2021); Patterson et al. (2021).
Daily Footprint Calculator
Compare your daily habits. Toggle metrics to see hidden costs.
💻 Digital Habits (Daily)
🏠 Home & Lifestyle (Daily)
⛳ Leisure (Amortised Daily)
*Enter monthly frequency. We calculate the daily share.
Daily Breakdown
Showing Carbon Emissions
Modify the sliders to see how AI compares to your physical habits.
Methodology & Data Sources
This section explicitly lists the constants used in the calculator above and the scientific references validating them.
| Activity | Carbon Factor | Carbon Justification | Water Factor | Water Justification |
|---|---|---|---|---|
| AI Query (Avg) | 3g / query | Conservative estimate (high end) of ~2–3 gCO₂e per query including training amortization (Ritchie, 2025; Tomlinson et al., 2024). Estimates vary 0.4–4.3g depending on model, length, and datacenter energy source. | 5ml / query | Updated cooling water consumption estimate based on recent analyses by Li et al. (2023). Original figures of ~500ml/20-50 queries have been refined to ~5ml per query as a likely average. |
| Streaming (HD) | 56g / hour | European average per Carbon Trust (2021) and Netflix/DIMPACT. IEA estimates ~36g/hr global average (2020 update). 56g is used as a conservative European reference. | 2 L / hour | Conservative estimate of water footprint associated with electricity supporting streaming (cooling/evaporation in datacenters and networks). Literature reports ranges of ~2–12 L per hour; lower end (2 L/h) used to avoid overestimation (Obringer et al., 2021; Purdue University, 2021). |
| Video Call | 150g / hour | Based on Purdue University Study (2021) analyzing symmetric upload/download data intensity compared to streaming. | 2 L / hour | Conservative estimate based on studies quantifying water footprints per hour of videoconferencing. Ranges depend heavily on camera usage, resolution, and device; 2 L/h used as reported minimum (Obringer et al., 2021; Purdue University, 2021). |
| Meal (Beef) | 9,000g / meal | Based on Poore & Nemecek (2018). Producing 1 kg of beef emits ~60 kgCO₂e global average. For a ~150g portion, this equals ~9,000g CO₂e. | 2,200 L / meal | Based on Water Footprint Network. Includes "Virtual Water" (Green+Blue+Grey) required to raise feed/livestock. |
| Shower | 30g / min | Assumption of ~10 kW electric shower: ~1 kWh every 6 mins (≈0.167 kWh/min). Converted to CO₂e using official UK grid factor (0.177 kgCO₂e/kWh; 2025 conversion). Result ≈ 0.0295 kg/min ≈ 30 g/min (Viessmann, 2022; DESNZ, 2025). | 9 L / min | Approximate direct consumption of an efficient shower (typical range 5–8 L/min for electric/mains-fed; 9 L/min used as prudent reference). Equals ~90 L in 10 minutes (CCW, n.d.; Waterwise, 2007). |
| Car Travel | 404g / mile | Based on EPA (2023) average for a typical passenger gasoline vehicle. | 5 L / day | Indirect usage for fuel processing and manufacturing amortised daily (Source: Argonne National Lab). |
| Golf (1 Round) | 9,000g / round | Derived from Turtureanu et al. analyzing maintenance equipment, fertiliser production, and player transport share. | 7,800 L / round | Based on USGA data. Average course uses 300k-1M gallons/day. Figure represents per-player share assuming 150 players/day. |
Bibliography
- Consumer Council for Water (CCW). (n.d.). How much water do you use?
- Department for Energy Security and Net Zero (DESNZ). (2025). Greenhouse gas reporting: conversion factors 2025.
- Obringer, R., Rachunok, B., Maia-Silva, D., Arbabzadeh, M., Nateghi, R., & Madani, K. (2021). The overlooked environmental footprint of increasing Internet use. Resources, Conservation and Recycling, 167, 105389.
- Purdue University. (2021, January 14). Turn off that camera during virtual meetings, environmental study says.
- Waterwise. (2007). Evidence base for large-scale water efficiency in homes.
- Viessmann. (2022, May 31). Which appliances use the most electricity at home?
- Carbon Trust. (2021). Carbon impact of video streaming. White paper.
- FIFA. (2022). FIFA World Cup Qatar 2022: Greenhouse gas accounting report.
- International Energy Agency. (2020). The carbon footprint of streaming video: Fact-checking the headlines. IEA.
- Li, P., Yang, J., Islam, M. A., & Ren, S. (2023). Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models. arXiv preprint arXiv:2304.03271.
- Carbon Brief. (2020). Factcheck: What is the carbon footprint of streaming video on Netflix? Carbon Brief.
- The Guardian. (2021, October 29). Streaming’s dirty secret: How viewing Netflix creates vast quantities of CO₂. The Guardian.
- Compare the Market. (n.d.). Social carbon footprint calculator. comparethemarket.com.au.
- The Independent. (2024, October 29). Every email, TikTok and text we send is killing the planet. The Independent.
- Ritchie, H. (2025). What’s the carbon footprint of using ChatGPT? Substack / Our World in Data.
- Tomlinson, B., et al. (2024). The carbon emissions of writing and illustrating are lower for AI than for humans. Scientific Reports, 14, 3732.
- CleanFi. (2021). Carbon footprint of an average U.S. golf course. Report.
- Murray, A. (2021). An estimation of emissions from the English Premier League. University of Strathclyde (thesis).
- Patterson, D., et al. (2021). Carbon emissions and large neural network training. arXiv preprint arXiv:2104.10350.
- Poore, J., & Nemecek, T. (2018). Reducing food’s environmental impacts through producers and consumers. Science, 360(6392).
- USGA. (n.d.). Water Resource Management. United States Golf Association.
- Water Footprint Network. Product Water Footprints: Beef.
The Digital Aggregate
Here we compare 1 hour of continuous active use. AI queries are energy-intensive per unit, but social media's video bandwidth creates a massive aggregate footprint.
Figure 2: Approximate CO₂e impact of 1 hour activity (gCO₂e). Values sensitive to device, resolution, network, and electricity mix (IEA, 2020). TikTok estimated from 2.63 gCO₂e/min. Netflix approximated at 55–56 gCO₂e/h. AI assumes 3 gCO₂e/query (high end) and 30 queries/h.