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 produces CO₂. Not a metaphor — real, measurable, physics-based carbon emissions from GPU compute, cooling, and data centre operations. GPT-4 alone emits ~0.0007 kg CO₂ per query. At 100 million queries per day, that's 70,000 tonnes of CO₂. Every day.

See it removed → Carbon AI The numbers ↓
~0.7g CO₂ per GPT-4-class query
70,000t CO₂/day at 100M queries
~1.3M Flights worth of CO₂ per day
The calculation

Here's the math.

These aren't estimates or approximations — they're based on published GPU TDP figures, data centre PUE benchmarks, and standard grid carbon intensity factors used by major cloud providers.

0.0007 kg
CO₂ produced by one GPT-4-class AI query
~700 mg per query × global average grid intensity of ~0.45 kg CO₂/kWh
GPU energy per inference call ~0.3 kWh (H100 TDP 700W, ~30s inference)
Data centre PUE multiplier ×1.6 (avg power usage effectiveness)
Total energy per query ~0.48 kWh
Grid carbon intensity (global avg) ~450 g CO₂/kWh (IEA 2024 estimate)
CO₂ per query ≈ 0.0007 kg CO₂
At scale

Scale changes everything.

One query is negligible. One hundred million queries per day — the scale of a single major AI model — 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.

70,000 tonnes CO₂/day

0.0007 kg × 100,000,000 queries = 70,000,000 kg = 70,000 tonnes of CO₂ every single day. That's more than many small countries emit in a day.

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 70,000 tonnes look like?

The average commercial flight emits ~3 tonnes of CO₂ per passenger (round trip, ~5,000 km). 70,000 tonnes per day equals roughly 23,000 flights per day — or the equivalent of taking roughly 4 million cars off the road permanently. The AI industry is growing at 30%+ per year. At that rate, AI query volumes — and therefore AI's carbon footprint — will triple by 2027.

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		 ~0.7 kg CO₂ 100 million queries ~70,000 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
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.

The solution

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

Tao Climate's Carbon AI product calculates the CO₂ footprint of every AI query and immediately offsets it through verified nature-based carbon removal. The removal is satellite-MRV-verified. Certificates are registry-issued. The offset is permanent.

Real-time measurement

GPU energy draw, data centre PUE, and grid carbon intensity are combined to produce a per-query CO₂ figure — not estimated, calculated.

Verified NBS removal

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

Permanent retirement

Registry-issued certificates mean the CO₂ is retired — not transferred, not on-sold. It's gone. Permanently. Publicly verifiable.

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