GEVGE Vernova Inc.

“data centers, which accounted for approximately $2.4 billion in orders in Q1—more than the full year of 2025. Just to repeat that, our Q1 Electrification orders to data centers were more than full-year 2025 results.”

“We also see substantial opportunity with Sourcing, as we leverage AI to drive parts rationalization and more intelligent bidding while further automating manual processes like invoice matching. We expect to save tens of millions of dollars every year going forward with these new tools, while freeing up tens of thousands of hours of manual work.”

“in Q1 2026, we launched a comprehensive company-wide data lake that enables us to retire 15 legacy data platforms, which we expect will reduce costs by approximately $15 million annually and significantly upgrade our technology to position us well for AI-enabled solutions.”

“Approximately 80% of our total gigawatts under contract are with traditional customers with the remaining 20% explicitly supporting data centers.”

“About 20% of our 100 gigawatts are direct to the data centers.”

“In our Gas Power business, where we have the largest installed base of gas turbines, steam turbines, and generators of any OEM in the world, one of our real challenges is to project demand and timing of needed investments in our customer fleets and ensure we have the right parts and resources available when a customer needs us. We utilize our decades' worth of data and are building AI tools to automate our ability to match installed base demand with our planning to deliver better performance for customers as well as a higher scope per outage for GE Vernova Inc.”

“We have already secured a second order with that product in April and expect more there, which is taking our entitlement per gigawatt up. But we are not stopping there. We are making progress with a stability block solution that complements what we are doing—that is an MV UPS solution, a combination of medium-voltage electrical equipment with storage and software that we are gaining real traction on within customers.”

“We are also deploying AI to enable our employees to improve how we run our businesses and accelerate innovation. We entered the year with 13 AI-based process transformations we were focused on executing, and the team is now working to double the transformations to 26 across GE Vernova Inc.”

“we also closed our first Energy Management System, or EMS, order in Q1. EMS incorporates solutions from Power Conversion and Storage with substation equipment and Grid Automation and Software to seamlessly integrate GE Vernova Inc. assets with load requirements in the data center.”

“We continue to expect full-year 2026 Corporate costs to be between $450 million and $500 million as we continue investing in AI, robotics, and automation to drive productivity over the medium and long term.”

“I give these two examples to reinforce that when you think about AI and GE Vernova Inc., do not just think about AI as a demand driver for our equipment and solutions. We are running this company with a very determined focus on meeting the demand for growing electricity for AI, while simultaneously incorporating the technology into how we work to transform our company.”

“I do expect that we will drive more productivity as we start to execute with those new machines and those new production workers that we will start to see in the third quarter of this year. So quantifying that productivity opportunity—we need time.”

“Real synergies exist between our GridOS software and GridBeats that can help improve how the grid thinks, learns, and acts to enable utilities to move from reactive operations to predictive, autonomous grid management.”

“I shared just a few examples of this earlier in the discussion with Lean and AI.”