Air Space Intelligence and National Grid Collaborate to Deploy Operational AI to the Electric Grid

Rhea-AI Summary

Air Space Intelligence (ASI) and National Grid (NGG) announced a collaboration to deploy AI decision‑support for electric grid planning and operations on May 6, 2026. ASI will fuse topology, asset, outage, forecasting, geospatial, and environmental data into a continuously updated predictive world model to generate probabilistic recommendations for resilience planning, outage detection, distributed energy resource siting, and energy storage deployment. The effort aims to shorten field times, reduce costs, and improve reliability. The project is supported by a grant from the Massachusetts Clean Energy Center's Innovate Mass program for Gridtech demonstrations.

Positive

• Continual predictive world model combining multi‑source grid data
• AI optimization for distributed energy resource siting
• Scenario‑based resilience planning for extreme weather
• Support from Massachusetts Clean Energy Center Innovate Mass grant

Negative

• No quantified cost savings or timelines disclosed
• Initial focus areas lack firm deployment dates

News Market Reaction – NGG

+0.24%

+0.24% Session close to close

In the May 6 session, NGG gained 0.24%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement extends National Grid’s use of AI from areas like wildfire risk and forecasting in...

Analysis

This announcement extends National Grid’s use of AI from areas like wildfire risk and forecasting into core grid planning, resilience, and outage management. The collaboration emphasizes a predictive, scenario-based approach to distributed energy resources and extreme weather planning. Historically, AI-related news for NGG has produced modest price changes. Investors may focus on future disclosures that quantify cost savings, reliability improvements, and how these tools integrate with existing regulatory and capital investment plans.

Key Figures

Announcement date: May 6, 2026

1 metrics

Announcement date May 6, 2026 Collaboration press release date

Previous AI Reports

2 past events · Latest: Dec 02 (Positive)

Same Type Pattern 2 events

Date	Event	Sentiment	24h Move	Catalyst
Dec 02	AI wildfire initiative	Positive	-0.0%	Collaboration to deploy AI platform gridFIRM for wildfire risk mitigation.
Mar 12	AI investment deal	Positive	+0.0%	Strategic investment by National Grid Partners in Amperon’s AI forecasting.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-focused announcements have produced very small price moves, with one slight positive and one slight negative reaction, indicating historically muted trading responses to NGG’s AI news.

Recent Company History

Over the past year, National Grid has repeatedly highlighted AI as part of its strategy. On Dec 2, 2025, it announced an AI-powered wildfire risk initiative with Rhizome, spanning networks in Massachusetts, New York, and the UK, which saw a -0.01% 24-hour move. Earlier, on Mar 12, 2025, National Grid Partners made a strategic AI investment in Amperon, linked to an energy forecasting platform, with a 0.02% reaction. Today’s AI collaboration continues this theme of operational AI deployment across grid planning and risk management.

Key Terms

distributed energy resources, geospatial, probabilistic, ai

4 terms

distributed energy resources technical

"optimizing the siting and interconnection of distributed energy resources, enabling"

Small, local sources and devices that generate, store or manage electricity near where it’s used—examples include rooftop solar panels, batteries, electric vehicles, smart thermostats and backup generators. They matter to investors because they reshape how power is produced, sold and paid for: they can lower costs, create new revenue streams, change regulation and require grid upgrades, so they affect company profits, risk profiles and growth opportunities much like dozens of small engines changing how a single factory runs.

geospatial technical

"reliability, outage, forecasting, geospatial, and environmental data into a continuously"

Relating to information tied to specific places on Earth, such as maps, GPS coordinates, satellite imagery and location sensors. Investors care because geospatial data turns where things are into actionable insight — it helps track assets, evaluate market opportunities, optimize routes, assess physical risk (like flooding), and measure real-world trends; think of it as adding a map-based lens that makes business decisions more precise and measurable.

probabilistic technical

"ASI's AI platform will provide probabilistic assessments and recommendations, helping"

Probabilistic describes methods, models, or statements that express outcomes as likelihoods rather than certainties—essentially saying how likely something is to happen instead of declaring it will or won’t. For investors this matters because probabilistic analysis shows ranges of possible results and associated odds, helping weigh risks and make decisions the way weather probabilities guide whether to carry an umbrella.

ai technical

"Air Space Intelligence (ASI), a pioneer in AI for the world's most demanding"

Artificial intelligence (AI) is technology that enables machines to mimic human thinking and learning, allowing them to analyze information, recognize patterns, and make decisions. For investors, AI matters because it can improve how businesses operate, create new products, or identify opportunities faster and more accurately than humans alone, potentially impacting company success and market trends.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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BOSTON, May 6, 2026 /PRNewswire/ -- Air Space Intelligence (ASI), a pioneer in AI for the world's most demanding operational domains, today announced a collaboration with National Grid, one of the largest electric and gas utilities in the United States, to deliver AI-powered decision support for electric grid planning and operations. The effort will apply ASI's predictive modeling and scenario optimization capabilities to a range of critical grid challenges, including resilience planning, outage detection, and energy storage deployment, helping reduce costs and time in the field.

"The electric grid is one of the most complex systems in the world, and the decisions utilities face are only getting harder," said Phillip Buckendorf, CEO and Co-Founder of ASI. "ASI has spent years building advanced AI technology for mission-critical operational environments–including aviation, logistics, and defense–and we're proud to partner with National Grid to bring those same capabilities to support the critical infrastructure that powers everyday life."

"As the electric grid becomes more complex, data and advanced analytics play an increasingly important role in how we plan and operate the system," said John Franklin, VP of National Grid New England Network Management. "ASI's action-oriented AI tools will help us leverage existing and new grid related data to inform decisions, allowing us to respond more effectively to emerging challenges."

The electric grid faces a period of unprecedented complexity. Surging demand, extreme weather, aging infrastructure, and the rapid proliferation of distributed energy resources are fundamentally changing how power is delivered, creating new challenges to maintain reliability, affordability, and efficiency.

To help National Grid address these hurdles, ASI will fuse grid topology, asset, reliability, outage, forecasting, geospatial, and environmental data into a continuously updated predictive world model of the grid. From this foundation, ASI's AI autonomously generates, evaluates, and optimizes across millions of planning scenarios, surfacing actionable recommendations that can help grid operators and planners act faster and with greater efficiency, helping reduce costs across the system and delivering enhanced reliability for customers.

The collaboration will initially focus on several high-impact areas: optimizing the siting and interconnection of distributed energy resources, enabling scenario-based resilience planning for extreme weather and demand surges, and outage mapping capabilities. Across each, ASI's AI platform will provide probabilistic assessments and recommendations, helping planners and operators navigate the growing complexity of a rapidly evolving grid.

The partnership between ASI and National Grid is supported by a grant from the Massachusetts Clean Energy Center's Innovate Mass program, a state initiative that promotes "technologies with a strong potential for commercialization," including a special focus on innovative "Gridtech" demonstration projects.  

About Air Space Intelligence
Air Space Intelligence powers critical decision-making in the most demanding operational domains, from air traffic management to defense logistics. ASI's AI platform already manages over 40% of all US air traffic at major airlines like Alaska, Delta, and United and supports live operations for the US Air Force. Backed by Andreessen Horowitz and other top investors, ASI is a fast-moving technology company at the forefront of operational AI.

Media Contact: media@airspace-intelligence.com 

About National Grid
National Grid (NYSE: NGG) in the U.S. delivers electricity and natural gas to more than 20 million people across New York and Massachusetts. We're committed to meeting our customers' energy needs and supporting economic growth across the regions we serve—providing safe, reliable energy today and building the resilient networks of the future. National Grid Ventures, our commercial business, develops and operates infrastructure that delivers affordable and reliable energy to consumers. National Grid Partners, our venture capital and corporate innovation arm, invests in and collaborates with technology companies that are accelerating the future of energy and helping new technologies reach critical scale faster.

Media Contact: Brian.Noyes@nationalgrid.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/air-space-intelligence-and-national-grid-collaborate-to-deploy-operational-ai-to-the-electric-grid-302763810.html

SOURCE Air Space Intelligence

FAQ

What is the ASI and National Grid collaboration announced May 6, 2026 (NGG)?

It is a partnership to deploy AI decision‑support for grid planning and operations, according to ASI. The work will fuse topology, outage, forecasting, geospatial, and environmental data into a predictive world model to inform siting, resilience, and outage mapping.

How will ASI's AI help National Grid (NGG) with outages and resilience?

ASI's platform will provide probabilistic outage mapping and scenario optimization, according to ASI. This enables planners to evaluate millions of scenarios, prioritize responses for extreme weather and demand surges, and surface actionable recommendations for operators.

Does the collaboration include funding or external support for NGG work?

Yes. The project is supported by a grant from the Massachusetts Clean Energy Center's Innovate Mass program, according to ASI. The grant targets commercializable Gridtech demonstrations focused on grid modernization and deployment.

Which specific grid challenges will ASI address for National Grid (NGG)?

ASI will focus on DER siting and interconnection, resilience planning, and outage mapping, according to ASI. The platform will use fused data to generate probabilistic assessments and optimized recommendations for those areas.

Will the ASI–National Grid (NGG) collaboration reduce costs or field time?

The announcement says the effort aims to reduce costs and time in the field, according to ASI. However, no specific savings estimates, percentages, or implementation timelines were provided in the announcement.