Microsoft is said to be reassessing its biggest climate promise, the 2030 pledge to run all its operations with cleaner energy, a result of the company's rapidly expanded AI facilities, which consume considerable electricity, as reported by Reuters.

It was first announced under the code these 2021 “100/100/0”, and aims to achieve 100% hourly matching of the company's electricity consumption with electricity purchases in the same regional grids from which it is drawn. Far more than the standard industry solution of balancing annual consumption and renewable energy, this was considered one of the most ambitious business clean-power pledges ever made.   

But the need for vast amounts of power at the various data centres that make up Microsoft's network has cast doubt on the hourly milestone. New plants being built will use several gigawatts of power, equivalent to generating about 750,000 U.S. homes. Microsoft is now debating the future of 2030 hourly matching in Microsoft Teams, with no definite conclusion yet reached, reports people involved in the planning and development of the feature. Microsoft's opportunities to meet its clean-energy goals remain, as it is also working on renewable energy sources with partner We Energies to provide 1.2 GW of carbon-free energy projects in Wisconsin, including solar and battery components slated for online by late 2028, Microsoft's Kate has said, in a statement to Reuters. 

This rethink is part of a wider discordance between growing levels of demand for electricity as companies use AI and cloud computing, and the sustainability promises made by the tech industry. Like Amazon and Alphabet, Microsoft is investing hundreds of billions of dollars in data centre construction, and the trend toward nuclear and natural gas power projects to ensure constant, reliable power is gaining steam as companies try to satisfy the economics of supporting huge devices.   

While the company continues to look at its targets, industry analysts say shifting the company's clean energy plans could fundamentally change the expectations of corporate climate leadership in the age of AI.