SignalStack
Back to feed

The climate case for AI has not been made

Read original

AI summary

The article argues that despite political pressure at UN climate conferences, the AI industry has failed to demonstrate sufficient progress in using technology to reduce greenhouse gas emissions.

AI-generated summary. Check the original reporting for context and accuracy.

Source excerpt

This is the available feed excerpt, which may be shortened or in the publisher’s original language.

This week, as countries meet in Antalya, Turkey for the United Nations climate conference, one topic likely to dominate the conversation is artificial intelligence. The host has already called on countries to commit to ensuring that AI is designed, powered, and deployed in ways that support climate action. But so far, industries around the world aren’t doing nearly enough to harness the technology to actually drive down the greenhouse-gas emissions heating up the planet, despite some very optimistic claims from AI companies. In 2024, OpenAI CEO Sam Altman declared that AI would unleash “astounding triumphs,” including “fixing the climate.” The year before, in a 2023 op-ed, the head of sustainability at Google and her coauthor wrote that AI could reduce global emissions 5% to 10% by 2030. Some academic researchers have examined these AI-related climate claims. A peer-reviewed study published last year, led by researchers at the London School of Economics’ Grantham Research Institute and the firm Systemiq, estimated that AI could help cut global emissions by the equivalent of 3.2 to 5.4 billion tons of carbon dioxide annually by 2035—roughly on par with the US’s annual energy-related emissions on the high end, even after subtracting AI’s own energy footprint. Those potential gains are mostly concentrated in three sectors: power, meat and dairy, and vehicles. But projections like these are only as good as our willingness to test them against present-day reality. So is there evidence that the largest companies in these three sectors are beginning to integrate AI in line with the study’s projections, and if so, do the results match expectations? Or is the 2035 number still mostly aspirational? Companies across these sectors have announced plenty of initial efforts to incorporate AI into various business practices. But an AI-assisted review of public information from significant market actors in each sector, conducted and reviewed by the second author of this piece

About priority

An automated sorting aid based on source trust, keywords, and entities, on a scale of 1–12. High: 9–12; medium: 6–8; low: 1–5. It does not measure urgency, verify reporting, or indicate editorial endorsement.

More in this topic

TechCrunch

Tesla expands robotaxi service to San Antonio

Tesla's expansion to San Antonio marks its fourth Texas city, signaling significant growth in its autonomous vehicle rollout and intensifying competition in the ride-hailing market.

Low priority 5/12