Eversource Energy logo

Eversource Energy AI Adoption Tracker

Last updated: September 18, 2026

3.4 Good

Overview

Eversource Energy has positioned itself as a leader in applying AI technologies to utility operations, leveraging artificial intelligence for outage prediction, grid modernization, and customer service enhancement[1]. The company has developed advanced AI capabilities including predictive maintenance systems, smart grid optimization, and demand forecasting[2]. Through partnerships with organizations like EY and UConn, Eversource has created patent-pending AI frameworks capable of predicting outages and preventing 40,000 customer outages in just two months[3]. The company's SmartInspect platform uses advanced image recognition and AI algorithms to streamline inspections of transmission and distribution lines, earning recognition with the prestigious Edison Award[4].

AI Maturity Index

3.4 /5 Practitioner

Evidence high

  • AI deployed across outage prediction, grid operations, and infrastructure inspections [corporate]
  • SmartInspect AI platform won Edison Award for innovation [corporate]

Missing Evidence

  • Limited AI hiring signals (2.2% overall mention rate)
  • No dedicated AI leadership roles identified

Evidence medium

  • Multiple AI research partnerships including UConn ($14M through 2028) [corporate]
  • Patent-pending AI frameworks developed with EY [corporate]

Missing Evidence

  • Low non-tech AI mention rate (1.4%) indicates limited workforce fluency
  • No evidence of company-wide AI training programs

Evidence high

  • 40,000 customer outages prevented in 2 months through AI outage prediction [corporate]
  • 95% reduction in simulation time through probabilistic load flow AI [news]

Missing Evidence

  • Limited direct financial impact metrics in SEC filings

Radar Comparison

Company Sector Avg

Peer Comparison: Eversource Energy vs utilities

Based on 32 companies in sector

Dimension Eversource Energy Sector Avg Diff
Adoption 3.0 3.1 -0.1
Proficiency 3.0 2.7 +0.3
Impact 4.0 3.4 +0.6
Overall 3.4 3.1 +0.3

AI Hiring Signals

Eversource Energy Job Postings Analysis

2.2%
AI Mention Rate
93
Jobs Sampled
2
AI-Related Jobs
High Confidence
Data Quality

Tech vs Non-Tech AI Requirements

Tech Roles (Engineering/Data) 4.2%
Non-Tech Roles 1.4%

Top Departments by AI Mention Rate

HR
10.0%
Engineering/Tech
6.7%
Data/Analytics
0.0%

Analysis

Eversource shows minimal AI hiring signals with only 2.2% of job postings mentioning AI. While tech roles show slightly higher AI requirements at 4.2%, the non-tech AI mention rate of 1.4% suggests AI skills have not yet become widespread organizational expectations beyond specialized technical roles.

View Sample Job Postings (5 sources)

Key Metrics

40,000 outages prevented in 2 months
Customer outages prevented
Source: https://www.ey.com/en_us/insights/power-utilities/ai-can-help-utilities-predict-grid-outages
95% reduction in simulation time
Simulation time reduction
Source: https://www.businesswire.com/news/home/20250429043608/en/Eversource-Energy-Collaborates-with-MathWorks-to-Incorporate-Renewable-Energy-Sources-into-System-Planning-Process-Using-Probabilistic-Load-Flow-Automation
$668 million AMI budget 2022-2028
Grid modernization investment
Source: https://www.mass.gov/info-details/grid-modernization-and-ami-resources
6
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

UConn Weather Forecasting and AI Research

October 2025

Active

Partnership with University of Connecticut to improve weather forecasting using AI

UConn researchers use AI to improve prediction of extreme weather events including wind gusts, with AI models reducing overprediction by significant margins compared to traditional weather models.

Forecasting
2

Probabilistic Load Flow (PLF) System

April 2025

Active

Collaboration with MathWorks to incorporate renewable energy sources into system planning

Uses MATLAB and Monte Carlo simulations to process millions of grid scenarios by likelihood and risk, reducing simulation time by 95% and enabling data-driven infrastructure decisions.

3

Digital Twin Technology

March 2025

Active

Enterprise digital twin integration for grid operations

Building platforms for enterprise scale that integrate distribution, transmission, and customer data. Enables multiple use cases including investment planning and technology identification.

4

AI-Powered Outage Prediction Model

2025

Active

Patent-pending framework developed with EY to predict sustained outages before they occur

Integrates diverse data sources including weather patterns, geographical data, SCADA systems, and vegetation management insights. In a 2-month proof of concept, prevented 40,000 customer outages.

Forecasting
5

SmartInspect Platform

2024

Active

Cloud-enabled platform using AI and image recognition for transmission and distribution line inspections

Uses advanced image recognition and AI algorithms to automatically identify potential system defects, improving efficiency and accuracy while centralizing data collection efforts.

Computer Vision

Frequently Asked Questions

Eversource uses a patent-pending AI framework that integrates weather patterns, geographical data, SCADA systems, and vegetation management insights to predict sustained outages before they occur, preventing 40,000 customer outages in a 2-month pilot.

SmartInspect is a cloud-enabled platform using advanced image recognition and AI algorithms to streamline inspections of transmission and distribution lines, automatically identifying potential system defects and improving inspection efficiency.

Eversource has a $668 million budget for Advanced Metering Infrastructure (AMI) from 2022-2028 as part of Massachusetts' approved grid modernization plans, plus additional investments in transmission and distribution upgrades.

Eversource partners with EY for outage prediction AI, University of Connecticut for weather forecasting research ($14M through 2028), MathWorks for grid planning automation, and Microsoft for AI-enabled solutions.

Through probabilistic load flow automation using MATLAB, Eversource can process millions of grid scenarios to optimize renewable energy integration, reducing simulation time by 95% and enabling better infrastructure investment decisions.

In Application

ApplicationVendorUse Case
MATLABMathWorksProbabilistic load flow automation and Monte Carlo simulations for grid planning
SmartInspect PlatformEversource (proprietary)AI-powered image recognition for automated infrastructure inspections
Advanced Weather Forecasting AIUConn/Eversource collaborationEnhanced prediction of extreme weather events and wind gusts

Sources

Related Companies

About AI Tracker

AI Tracker is a research project by Larridin, the AI execution intelligence platform.

Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.

Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.

Update cadence: Every 2-3 weeks
Last updated: September 18, 2026