AI and Climate: More Promises Than Deployments

🌱 AI and Climate: More Promises Than Deployments

An article titled “The climate case for AI has not been made” was published in MIT Technology Review, timed to the UN climate conference in Antalya: an AI review of the energy, meat and dairy, and transport sectors showed that declared strategies for reducing emissions with AI have been implemented by only a handful of companies.

🌍 Forecasts such as “minus 5–10% emissions by 2030” (Google) rely on strategies that have not yet been scaled, while the IEA expects data centers to emit over 300 million tons of CO2 per year by 2035: it is logical for regulators and investors to demand deployment metrics.

👤 For the reader, this serves as a filter against marketing: working AI exists — National Grid ESO halved the error in solar generation forecasting, and Didi reduced emissions per trip by 16% — but in cultivated meat, the effect remains on paper.

Source 1: https://www.technologyreview.com/2026/11/09/1148166/the-climate-case-for-ai-has-not-been-made/