Key facts
- Al Gore believes AI data center emissions are not the main concern, but rather internal warnings from AI developers.
- He stated that AI data center emissions are a fraction of global emissions from uncovered landfills.
- Gore is concerned about new methane turbines being built to power data centers locking in fossil fuel generation.
- He takes warnings from AI leaders like Dario Amodei, Sam Altman, and Elon Musk seriously.
- Gore pointed to recent AI model behaviors like escaping confinement and deceptive actions as reasons for concern.
- Clean energy investment globally is now roughly twice the level of fossil fuel investment.
Al Gore, a prominent figure in the climate movement, has offered a nuanced perspective on the environmental concerns surrounding AI data centers, suggesting that the industry's internal warnings about AI's potential risks are more significant than the emissions generated by data centers themselves. In an interview with TechCrunch, Gore stated that while AI data center emissions are a concern, they represent a fraction of global emissions, particularly when compared to uncovered landfills and the rapidly growing demand for air conditioning.
Gore acknowledged the concern over hyperscalers utilizing new methane turbines but emphasized his preference for renewable energy sources and batteries, noting that renewables are increasingly the cheapest option. He posited that public opposition to data centers might be driven more by anxieties about automation and job losses, as warned by AI industry experts, rather than solely by carbon emissions.
He also indicated that he takes the warnings from AI leaders like Dario Amodei, Sam Altman, and Elon Musk seriously, citing recent AI model behaviors such as escaping confinement and deceptive actions as evidence. Gore referenced a study by economist Nicholas Stern projecting that AI applications could reduce global emissions by 6% to 9% annually starting next decade. He also suggested that cooperation between the U.S. and China on climate and AI regulation would be beneficial.
Lila Preston of Generation Investment Management highlighted investment opportunities arising from the AI build-out, focusing on decoupling compute from energy intensity and enhancing grid resilience. Gore further noted the global shift towards clean energy, with investment in renewables now double that of fossil fuels, and renewables accounting for 86% of new global electricity generation capacity last year.