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Google deploys AI to help accelerate US grid connections

Countries are consuming more energy than ever, but connecting new energy generation assets to the grid can still take years, so Google is now using AI to accelerate the approvals process.

Key takeaways

  • The collaboration is the first time AI would be used to comprehensively manage an interconnection queue.
  • Electricity demand has been rising as Big Tech builds more data centers to train and deploy AI.
  • PJM controls the electrical system that covers 67 million people in the U.S.
Cite or link to this article

Griffin, M. (2025) 'Google deploys AI to help accelerate US grid connections', 311 Institute, 28 July. Available at: https://www.311institute.com/google-deploys-ai-to-help-accelerate-us-grid-connections/ (Accessed: 1 October 2026).

As we continue to see the amount of power that Artificial Intelligence (AI) needs to power ever bigger AI models, that are now costing over $1 Billion to train, Google’s AI moonshot unit is partnering with the largest electrical grid operator in North America, PJM Interconnection, to roll out AI technologies aimed at getting new power supplies connected faster, the company said on Thursday.

The collaboration is the first time AI would be used to comprehensively manage an interconnection queue. Electricity demand has been rising as Big Tech builds more data centers to train and deploy AI.

"The industry has been talking about building smarter grids for well over a decade, and now with AI, we have a real opportunity to turn discussion into action," Amanda Peterson Corio, Google's data center energy lead, said at a press conference.

Wait times have grown to historic lengths in recent years for connecting the country's grids to new electricity supplies generated from sources like wind, solar and natural gas.

Those delays have worsened an electricity supply crunch in many parts of the country, pushing up power bills and raising the risk of blackouts, as old power plants retire faster than new supplies connects.

Google, in partnership with the Alphabet-backed Tapestry, says it can help eliminate at least some of the wait by using artificial intelligence to synthesize information and automate parts of the review and planning processes for projects in line to connect to PJM.

"This is really about automating a lot of the things that are being laboriously reviewed," said Page Crahan, General Manager of Tapestry, which will work with PJM to develop AI tools and models that will be rolled out in 2025 and phased in over the course of several years.

Initially, the technology will be used to automate parts of processes currently done by hand by grid planners, including a review of applications to determine whether a project seeking to connect to the grid is viable.

Over time, the collaboration between Google, Tapestry and PJM will develop a model of the PJM grid like a Google Maps for grid information, "bringing in different layers that planners might need to see in a single toggle on and off view to guide faster decisions, introduce new insights, hopefully find efficiencies in those ways," Crahan said.

It remained too early to say how working with Google would cut down on times to add new power plant supply to the system, said Aftab Khan, executive vice president of operations, planning and security for PJM.

PJM controls the electrical system that covers 67 million people in the U.S. PJM's territory includes northern Virginia, the world's largest data center hub.

311 Intelligence

What this means for your organisation

The queue is the real constraint.

Wait times for connecting wind, solar and gas have grown to historic lengths. Old plants are retiring faster than new supply connects, which pushes up power bills and raises the risk of blackouts. Grid Connection Bottlenecks is marked Act now.

Automation starts with manual reviews.

The tools roll out in 2025 and are phased in over several years. At first they automate checks that grid planners do by hand, such as whether a project is viable. PJM says it is too early to know how much time this will save.

Data centre demand shapes the response.

Training runs that now cost over $1 Billion are pushing demand up. PJM serves 67 million people, including northern Virginia, the world's largest data centre hub. Firms that can flex their demand or secure their own supply may be better placed, and both themes are marked Prepare.

Three questions for your next leadership meeting

  1. How long is our own wait to connect new load or generation?
  2. Could we flex our power demand in return for a faster connection?
  3. Which of our grid approvals are still reviewed by hand?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

Countries are consuming more energy than ever, but connecting new energy generation assets to the grid can still take years, so Google is now using AI to accelerate the approvals process.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Source: first published by the 311 Institute on 28 July 2025. Cite as: Griffin, M. (2025). Google deploys AI to help accelerate US grid connections. 311 Institute. https://www.311institute.com/google-deploys-ai-to-help-accelerate-us-grid-connections/

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