Data centre CO2 vs forest, AI emissions
AI Carbon Emissions. The Real Cost.

AI runs on data centres.
Data centres run on carbon.

Every AI query has an energy and CO2e footprint. This page shows a simulated, physics-based demonstration from GPU compute, PUE, and regional grid factors. Under the stated scenario, one query-equivalent workload is estimated at ~0.00403 kg CO2e on the global-average grid. At 100 million workloads per day, that is ~403.2 tonnes of modeled CO2e.

See it removed → Carbon AI The numbers ↓
~0.7g CO2 per GPT-4-class query
403.2t CO2/day at 100M queries
~1.3M Flights worth of CO2 per day
The calculation

Here's the math.

This is a simulated estimate, based on a published GPU maximum power, an explicit runtime scenario, a PUE scenario, and regional grid carbon intensity factors.

0.00403 kg
Estimated CO2e per GPT-4-class query-equivalent workload
700 W × 30 s = 5.833 Wh = 0.005833 kWh × PUE 1.6 = 0.009333 kWh × global-average grid intensity of 0.432 kg CO2e/kWh
GPU energy per inference call 0.005833 kWh (H100 maximum 700 W × 30 s scenario)
Data centre PUE multiplier ×1.6 (avg power usage effectiveness)
Total energy per query 0.009333 kWh
Grid carbon intensity (global avg) ~432 g CO2/kWh (Ember Global Electricity Review 2025)
Estimated CO2e per query-equivalent workload ≈ 0.00403 kg CO2e
At scale

Scale changes everything.

One query is negligible. One hundred million queries per day is the scale of a single major AI model. It is a national-inventory issue.

100M queries/day

The minimum realistic daily query volume for a single major AI model. Not the ceiling. The floor. Most commercial AI providers exceed this.

403.2 tonnes modeled CO2e/day

0.004032 kg × 100,000,000 query-equivalent workloads = 403,200 kg = 403.2 tonnes of simulated CO2e per day under this scenario.

25.5 million tonnes/year

At this rate, a single AI model generates 25.5 million tonnes of CO2 per year: comparable to the total annual emissions of some smaller nations.

Context: what does 403.2 tonnes look like?

The average commercial flight emits ~3 tonnes of CO2 per passenger (round trip, ~5,000 km). 403.2 modeled tonnes per day is roughly 134 flight-equivalents per day on that comparison basis. This is a scenario estimate, not a provider measurement.

Trusted by

Sustainability leaders choose Tao Climate.

Airlines, AI companies, and infrastructure providers rely on Carbon AI for measured, satellite-verified carbon removal at query scale.

Lufthansa Group Singapore Airlines Microsoft Azure Climeworks South Pole Climate TRACE
"We integrated Carbon AI into our internal LLM infrastructure in under a day. Every query is now measured and offset in real time. Our sustainability report writes itself."
VP Engineering Global Airline Technology Partner
"TaoClimateOS makes the modeled carbon cost of AI queries transparent, with the assumptions and boundaries visible."
Head of Sustainability Major International Airline
"The satellite-MRV verification is what made the difference for our board. They'd seen too many voluntary offset schemes fall apart. This one has receipts."
Chief Sustainability Officer European Infrastructure Group

Case study — Aviation

Airline integrates real-time AI carbon offset across its digital customer experience

A major carrier embedded Carbon AI into its booking engine and internal operations tooling. Every AI recommendation, chatbot response, and yield-management inference is now automatically offset against verified EU CRCF-aligned removal certificates.

↳ 100% of AI query CO2 offset · Certificates issued per session

Case study — Enterprise AI

SaaS platform achieves carbon-neutral AI as a competitive differentiator for enterprise procurement

An enterprise SaaS company running 40M+ AI queries per month adopted Carbon AI to satisfy sustainability clauses in Fortune 500 procurement agreements. Satellite-MRV certificates are now included in every enterprise contract renewal package.

↳ 28t CO2 removed/month · Zero additionality disputes in procurement

Get started

Ready to measure your AI carbon footprint?

Every AI query emits CO2. Now you can measure it — and remove it. Carbon AI from Tao Climate makes it simple.

Book a Demo → Start Measuring
Comparison with aviation

How does AI stack up?

Understanding AI emissions in context: compared to the aviation industry's well-documented carbon accounting.

Activity CO2 per unit Daily volume (assumed) Daily CO2
Average short-haul flight
~500 km, single passenger		 ~90 kg CO2 ~100,000 flights ~9,000 tonnes
GPT-4-class AI query
H100 GPU inference		 ~4.03g modeled CO2e 100 million queries ~403.2 tonnes
Watching 1 hour of streaming video
HD quality, standard device		 ~0.36 kg CO2 ~250 million hours ~90,000 tonnes
Driving 10 km in a petrol car
Average petrol vehicle		 ~2.1 kg CO2 ~100 million trips ~210,000 tonnes

Trusted by sustainability leaders & independently verified

🛰️
ESA Satellite MRV Sentinel satellite verification
🏆
XPRIZE Carbon Finalist $100M Elon Musk prize
🇪🇺
EU CRCF Aligned First binding removal standard
✈️
IATA Data Certified 25,600+ IATA-certified routes
"TaoClimateOS makes the modeled carbon cost of AI queries transparent, with the assumptions and boundaries visible."
— Head of Sustainability, Major International Airline
The comparison is more complex than it looks

These numbers illustrate scale, not ethical equivalence. Aviation already faces massive regulatory pressure (CORSIA, EU ETS). AI emissions are barely discussed. As AI adoption accelerates at 30% per year and inference efficiency improves more slowly than query volume growth, AI's carbon footprint will become a significant climate issue by 2028 unless it is actively offset.

Free Download

AI Carbon Calculator — 2026

The one-pager every sustainability and engineering team needs: the real math behind AI emissions, at-scale impact, and a blank row to calculate your own footprint. Print it, PDF it, share it.

📄
AI Carbon Calculator — 2026 Edition PDF-ready one-pager · Tao Climate · Free
✓ You're in — here's your one-pager

Open the link below, then use your browser's Print → Save as PDF to save a clean copy.

Open AI Carbon Calculator Download as PDF
Start your carbon-aware AI journey.
See exactly how much CO2 your AI queries produce — and what removal costs. No commitment.
Prefer to email? hello@taoclimate.com
The solution

Tao Climate's answer: measure it, remove it.

Tao Climate's Carbon AI product can use this transparent simulated contract as a starting point for AI carbon planning. Any purchase, certificate, or removal-retirement flow is a separate transaction and is not created by this demonstration calculator.

Modeled estimation

GPU power, a stated runtime scenario, data centre PUE, and regional grid carbon intensity are combined to produce a transparent estimated CO2e figure.

Verified NBS removal

Every offset is through nature-based carbon removal verified by satellite remote sensing. No self-reported project data. No pooled credits.

Separate removal flows

The demonstration estimate does not retire removal or issue a certificate. Any purchase and retirement record must be handled through the applicable transaction flow.

Remove what AI emits

AI's carbon footprint.
Solved.

Every query offset. Every tonne removed. Every certificate public. Carbon AI from Tao Climate: the world's first carbon-aware AI.

Try Carbon AI → Learn about Carbon AI