IMF study shows concern — but not panic — over AI's climate toll
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A new International Monetary Fund study of the AI-climate-energy nexus finds reason for worry, but hardly panic.
Why it matters: Gaming out artificial intelligence's energy needs and the emissions in tow is a big challenge for policymakers, tech companies and power providers.
What they found: Under current energy policies, the IMF projects a cumulative 1.7 gigatons of additional CO2 emissions linked to AI's needs from 2025-2030.
- That's "similar to Italy's energy-related greenhouse gas emissions over a five-year period." A more renewables-heavy scenario they modeled shows a 1.3GT bump.
- For perspective, the International Energy Agency estimates total energy-related emissions at 37.8 GT last year.
Catch up quick: A recent IEA report found that fears about AI speeding up climate change "appear overstated."
Reality check: That said, global emissions are still rising and climate harms are worsening.
- Steep cuts are needed to avoid blowing way past the Paris Agreement goal of limiting the rise in global temps to 2.0°C.
- So major new emissions sources are cause for concern.
The intrigue: The IMF tries to compare the impact of emissions against global GDP gains from AI.
- It sees the "social cost" of 1.3GT-1.7GT of extra emissions at $50.7 billion to $66.3 billion.
- "The social cost of these extra emissions is minor compared with the expected economic gains from AI, yet it still adds to the worrying buildup of worldwide emissions," the study states.
- But it's using a social cost of carbon of $39 per ton. It's the median in a literature review cited but is far lower than many economists and scientists would say reflects real-world climate damages.
The big picture: "AI-driven global electricity consumption" could hit 1,500 terawatt hours by 2030, the IMF authors find, citing OPEC and IEA data and their own calculations.
- That's comparable to India's total demand, notes the analysis that's a special section in IMF's wider new economic outlook.
What we're watching: Whether AI's emissions-cutting applications ultimately outweigh CO2 from data centers' energy needs.
