AI's dual promise

This global study explores how organizations are using AI to drive sustainability and where action must accelerate. The report speaks directly to the key stakeholder groups who stand at the crossroads of AI acceleration and climate responsibility. Each faces a different version of the same challenge: how to advance AI without undermining sustainability and how to use sustainability as a competitive advantage.

•  AI is both a climate enabler and an energy transition accelerator, optimizing emissions reductions, enabling
  greater energy efficiency, and resilience while driving demand for clean power.

• The execution gap: Progress is uneven particularly due to challenges in scaling clean power solutions globally. Infrastructure bottlenecks, policy delays, and financing barriers risk slowing down momentum. The next 24 months,
  through 2027, will be decisive in closing this gap.

• System-wide transformation: AI is enabling real progress on sustainability across value chains, from manufacturing and transport to agriculture and buildings, and helping to create positive value for companies who are addressing their climate risk exposures.

The conclusion is clear: AI is a source for good on all parts of the climate agenda and specifically will help to accelerate the energy transition.  

The survey was conducted in August and September 2025, with 1,202 executive respondents across 20 global markets.
Research was gathered among both energy producers (power generation, utility companies, renewable energy, infrastructure developers) and energy consumers (hyperscalers, data center developers and operators, technology companies).
Most came from companies with annual revenues exceeding $1 billion.