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    Maximo Completes 100 MW of Robotic Solar Installation

    3/25/26 7:00:00 AM ET
    $AES
    Electric Utilities: Central
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    Milestone represents one of the largest robotic solar deployments executed to date

    ARLINGTON, Va., March 25, 2026 /PRNewswire/ -- Maximo, the solar robotics company incubated by The AES Corporation (NYSE: AES), today announced the successful installation of 100 megawatts (MW) of utility-scale solar capacity at AES' Bellefield complex.

    Maximo logo

    Demand for electricity continues to grow rapidly, driven by data center expansion, electrification and industrial manufacturing. Solar construction faces increasing pressure from labor constraints, compressed project timelines and cost volatility. Maximo's robotic solar installation solution is helping close the gap between the need for faster time to power and construction capacity. Today's 100 MW achievement marks the transition of robotic module installation from early deployment validation to sustained commercial production.

    "Reaching 100 MW at a single site is an important milestone for Maximo and for the role robotics can play in solar construction. It demonstrates that intelligent field robotics can deliver consistent results at utility scale. As solar deployment continues to accelerate globally, technologies that improve installation speed, quality and reliability will become increasingly important," said Chris Shelton, President of Maximo.

    The Bellefield project scaled from a single robot to a coordinated fleet of four Maximo units operating in parallel. By tightly integrating robotic placement into standard construction workflows alongside skilled union technicians, the fleet delivered a step‑change in productivity while maintaining high safety and quality standards. Maximo's version 3.0 units' technical performance rate consistently surpassed one module per minute, with crews installing as many as 24 modules per shift hour per person, nearly double the output of traditional installation methods in the region. The upcoming major release of Maximo version 4.0 builds on the industry leading scale and performance accomplished at Bellefield.

    NVIDIA technologies supported the development and readiness of the Maximo robotic fleet deployed in California. Leveraging NVIDIA AI infrastructure together with NVIDIA Omniverse libraries and NVIDIA Isaac Sim open robotics simulation framework, the Maximo team was able to develop, test and refine robotic capabilities through physics-based simulation and AI driven modeling before deploying updates in the field. The combination of AI, vision, robotics and simulation driven engineering reduced development and validation timelines and increased confidence in field performance as the robotic fleet scaled. 

    "Physical AI is a powerful force for accelerating real world energy infrastructure," said Marc Spieler, Senior Director of Energy, NVIDIA. "By combining AI infrastructure, simulation, and edge AI, platforms like Maximo demonstrate how physical AI can help accelerate solar panel installation while maintaining high reliability in complex environments."

    Amazon Web Services (AWS) powered the development, deployment, and operation of Maximo's AI-driven field systems. AWS provides scalable computing, automated software delivery, and advanced data analytics, including real-time construction intelligence, enabling Maximo to collect operational robotics data and continuously improve performance.

    "Innovation in carbon-free energy development is critical to meeting the world's growing energy needs," said Kara Hurst, Chief Sustainability Officer, Amazon. "By combining AI and robotics, technologies like Maximo demonstrate how we can accelerate the transition to carbon-free energy while improving safety and efficiency. Amazon is proud to support projects that push the boundaries of what's possible in sustainable infrastructure."

    Utility-scale solar construction must expand rapidly to meet growing electricity demand, and the United States is expected to deploy hundreds of gigawatts of new solar capacity this decade. Robotic installation solutions like Maximo allow Engineering, Procurement and Construction (EPC) firms to increase productivity, improve workforce safety and standardize installation quality while operating within complex construction environments.

    The Bellefield project installation demonstrates that robotics can now operate reliably at a gigawatt scale in solar construction.

    About Maximo

    Maximo is an intelligent field robotics company incubated by AES, focused on accelerating utility-scale solar construction through autonomous installation systems. Its physical AI and robotics platform is designed to augment skilled construction crews, improve safety, and increase installation speed.

    AES Safe Harbor Disclosure

    This news release contains forward-looking statements within the meaning of the Securities Act of 1933 and of the Securities Exchange Act of 1934. Such forward-looking statements include, but are not limited to, those related to future earnings, growth and financial and operating performance. Forward-looking statements are not intended to be a guarantee of future results, but instead constitute AES' current expectations based on reasonable assumptions. Forecasted financial information is based on certain material assumptions. These assumptions include, but are not limited to, our expectations regarding accurate projections of future interest rates, commodity price and foreign currency pricing, continued normal levels of operating performance and electricity volume at our distribution companies and operational performance at our generation businesses consistent with historical levels, as well as the execution of PPAs, conversion of our backlog and growth investments at normalized investment levels, and rates of return consistent with prior experience.

    Actual results could differ materially from those projected in our forward-looking statements due to risks, uncertainties and other factors. Important factors that could affect actual results are discussed in AES' filings with the Securities and Exchange Commission (the "SEC"), including, but not limited to, the risks discussed under Item 1A: "Risk Factors" and Item 7: "Management's Discussion & Analysis" in AES' 2025 Annual Report on Form 10-K and in subsequent reports filed with the SEC. Readers are encouraged to read AES' filings to learn more about the risk factors associated with AES' business. AES undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except where required by law.

    Any Stockholder who desires a copy of the Company's 2025 Annual Report on Form 10-K filed March 2, 2026 with the SEC may obtain a copy (excluding the exhibits thereto) without charge by addressing a request to the Office of the Corporate Secretary, The AES Corporation, 4300 Wilson Boulevard, Arlington, Virginia 22203. Exhibits also may be requested, but a charge equal to the reproduction cost thereof will be made. A copy of the Annual Report on Form 10-K may be obtained by visiting the Company's website at www.aes.com.

    AES Website Disclosure

    AES uses its website, including its quarterly updates, as channels of distribution of Company information. The information AES posts through these channels may be deemed material. Accordingly, investors should monitor our website, in addition to following AES' press releases, quarterly SEC filings and public conference calls and webcasts. In addition, you may automatically receive e-mail alerts and other information about AES when you enroll your e-mail address by visiting the "Subscribe to Alerts" page of AES' Investors website. The contents of AES' website, including its quarterly updates, are not, however, incorporated by reference into this release.

    Media Contact: Katie Lau, [email protected]

    Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/maximo-completes-100-mw-of-robotic-solar-installation-302723835.html

    SOURCE Maximo

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