Stock Markets January 28, 2026

Itron Expands Microsoft AI Tie-Up; Shares Jump on New Copilot Integration

New IEOS Connector for Microsoft 365 Copilot aims to give utilities natural-language access to operational data and AI-driven grid tools

By Marcus Reed ITRI
Itron Expands Microsoft AI Tie-Up; Shares Jump on New Copilot Integration
ITRI

Itron said it is deepening its strategic collaboration with Microsoft by introducing an Itron Intelligent Edge Operating System (IEOS) Connector for Microsoft 365 Copilot, enabling utilities to query operational data with natural language. The announcement, which also includes plans to offer Itron solutions through the Microsoft Marketplace and to focus on AI-driven predictive maintenance, demand forecasting and grid optimization, coincided with a roughly 5% rise in Itron stock.

Key Points

  • Itron announced a deeper strategic collaboration with Microsoft, unveiling an IEOS Connector for Microsoft 365 Copilot to enable natural-language access to utility operational data.
  • The expanded partnership will focus on AI applications including predictive maintenance, demand forecasting and grid optimization, and Itron solutions will be offered through the Microsoft Marketplace.
  • The announcement coincided with an approximately 5% increase in Itron's stock price and the companies plan to showcase their joint innovations at DTECH in San Diego on February 2-5, 2026. Sectors impacted include utilities, energy and enterprise cloud services.

Itron, Inc. reported an expanded strategic collaboration with Microsoft that the company says is intended to accelerate AI-driven capabilities for utility customers. Shares of Itron (NASDAQ:ITRI) moved higher, climbing about 5% after the company disclosed the extension of the partnership.

At the center of the announcement is the new Itron Intelligent Edge Operating System (IEOS) Connector for Microsoft 365 Copilot. Itron described the connector as a tool that will let utilities employ natural language queries to retrieve information from Itron’s management systems. The company said this integration should make it easier for utilities to locate data on consumption patterns, outage history and other operational details.

Beyond the connector, Itron said the collaboration will prioritize the integration of advanced AI solutions targeted at several utility use cases: predictive maintenance, demand forecasting and grid optimization. Itron also confirmed that its solutions will be made available through the Microsoft Marketplace to simplify procurement and access for utilities and potential partners.

Don Reeves, senior vice president of Outcomes at Itron, framed the work as a response to pressures facing utilities. "Utilities are under increasing pressure to modernize infrastructure, reduce operational costs and improve reliability. By building on our established relationship, we are delivering new AI capabilities that help utilities address these challenges head on," Reeves said.

The companies plan to present their joint work at the DTECH conference in San Diego, scheduled for February 2-5, 2026. Itron said the initiative is aimed at helping utilities boost efficiency and resilience while improving customer engagement through AI-enabled capabilities at the grid edge.


While the announcement attaches capabilities and channel availability to the Microsoft ecosystem, the company did not provide detailed rollout timelines, specific performance metrics for the AI features or commercial terms in this release. The stock reaction followed the product and partnership news.

Risks

  • The announcement does not include deployment timelines or specific performance results for the AI tools, leaving uncertainty about when utilities will realize the stated benefits. This affects utilities and energy service providers.
  • Commercial terms, pricing and adoption plans were not detailed, creating uncertainty about the financial impact for utilities and channel partners that may pursue these offerings.
  • The news describes planned demonstrations at an upcoming conference but does not indicate the current scale of deployments, so market and operational impacts remain unclear.

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