Inside Microsoft’s AI Initiatives for Sustainable Energy

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Microsoft hopes to support the energy transition using AI - Credit: Microsoft
Microsoft is accelerating the use of AI for sustainability through investments, infrastructure developments, building workforce capacity and governance

Artificial intelligence (AI) could do a lot for sustainability, but this technology does not come without its challenges. 

In February 2025, Microsoft reported a 30% increase in emissions since 2020, primarily due to its AI data centre buildout. 

Microsoft’s 2023 report, “Accelerating Sustainability with AI”, laid out five steps the world needs to take to unlock its full potential: 

  • Invest in AI for sustainability
  • Develop infrastructure for the inclusive use of AI for sustainability
  • Minimise resource use in AI infrastructure
  • Advance AI policy principles and governance
  • Build workforce capacity to use AI for sustainability. 

The company has released another report, titled “Accelerating Sustainability with AI: Innovations for a Better Future”, exploring progress on each of these steps. 

The foreword, written by Microsoft’s Brad Smith, Vice Chair and President, and Melanie Nakagawa, Chief Sustainability Officer, says: “At Microsoft, we believe the world needs AI that is broadly accessible and trustworthy, this also includes addressing the sustainability challenges associated with this technology. 

“Across our sustainability work, we regularly assess our progress and adjust our strategies for greater impact. 

Brad Smith, Vice Chair and President at Microsoft

“One lesson from this last year is that minimising the sustainability impact of AI operations requires more than minimising resource use in datacenter operations; it also requires supporting the communities where data centres are located and expanding access to zero carbon electricity.”

Investing in AI for sustainability

Microsoft says that AI can help to accelerate the transition to net zero energy which will support the decarbonisation of AI data centres. 

More than 40% of global CO₂ emissions come from the burning of fossil fuels for electricity generation. 

LineVision, a company Microsoft has invested in, is working with National Grid in Upstate New York to deploy dynamic line rating technology on transmission lines that can help to unlock the power of renewables. 

In some regions, this technology has increased transmission capacity by up to 60%. 

Microsoft is also working directly with renewable energy companies to optimise energy production.

It says the use of reinforcement learning and Microsoft Azure high-performance computing can help to optimise wind farm performance, predict maintenance needs and enhance energy production efficiency and reliability.

Microsoft’s investments extend beyond the energy transition too. 

Melanie said on LinkedIn: “More than ever, the risk of wildfires is at the forefront of climate concerns. A complex interplay of weather, vegetation and land and water management practices contributes to these dangers. 

Melanie Nakagawa, Chief Sustainability Officer at Microsoft

“Through our Climate Innovation Fund, Microsoft is investing in AI solutions like Vibrant Planet to analyse vast amounts of data within these systems to better predict and manage wildfire threats.

“Vibrant Planet's models integrate observational data, global and regional climate models and ecosystem models to provide more accurate predictions and effective interventions for wildfires.”

Developing infrastructure for the inclusive use of AI

“Without access to sufficient, high quality data and robust digital infrastructure, the full potential of AI’s game-changing capabilities cannot be realised,” the report says.

Nearly 80% of biodiversity data comes from just 10 countries in the Northern Hemisphere.

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The report says that AI-enabled technologies, like Microsoft’s SPARROW, can help to fill these data gaps. 

SPARROW is an AI-driven edge computing solution built to operate autonomously in the most remote corners of the planet. 

It is solar-powered and equipped with advanced sensors that collect biodiversity data from technologies typically used by researchers, including camera traps, acoustic monitors and environmental detectors. 


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