Maximo Completes 100 MW of Robotic Solar Installation

Rhea-AI Summary

Maximo (NYSE:AES) completed 100 MW of robotic utility-scale solar installation at AES' Bellefield complex on March 25, 2026. A four-robot fleet delivered sustained commercial production, exceeding one module per minute and achieving up to 24 modules per shift hour per person, roughly doubling regional productivity.

NVIDIA and AWS supported development, simulation and AI-driven operations. Maximo says this milestone demonstrates robotics can scale reliably toward gigawatt-class solar construction.

Positive

• 100 MW installed at a single utility-scale site
• Coordinated fleet of 4 robots operating in parallel
• Robots achieved >1 module per minute technical rate
• Field crews reached 24 modules per shift hour per person, ~2x regional output
• Applied NVIDIA simulation and AWS cloud for AI-driven development

Negative

• None.

Key Figures

Robotic installation milestone: 100 MW Robotic fleet size: 4 units Placement rate: 1 module per minute +2 more

5 metrics

Robotic installation milestone 100 MW Utility-scale solar capacity installed at AES' Bellefield complex

Robotic fleet size 4 units Maximo robots operating in parallel at Bellefield project

Placement rate 1 module per minute Maximo version 3.0 units’ technical performance rate

Crew output 24 modules per shift hour per person Installation productivity metric for Maximo-enabled crews

U.S. solar outlook Hundreds of gigawatts Expected new U.S. solar capacity this decade

Market Reality Check

Price: $14.13 Vol: Volume 15,252,704 vs 20-d...

normal vol

$14.13 Last Close

Volume Volume 15,252,704 vs 20-day average 20,016,786 ahead of this release. normal

Technical Price $14.13 is trading above 200-day MA at $13.72 and ~19.9% below 52-week high $17.65.

Peers on Argus

AES was up 0.36% while key peers were mixed: CIG +1.3%, AQN +1.53%, AVA +1.29%, ...

AES was up 0.36% while key peers were mixed: CIG +1.3%, AQN +1.53%, AVA +1.29%, BIP +0.18%, and ALE -0.1%, suggesting stock-specific factors dominate.

Historical Context

5 past events · Latest: Mar 19 (Neutral)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Mar 19	Consent solicitation	Neutral	-0.2%	Requisite consents and amended solicitations for several AES senior notes tied to merger.
Mar 19	Consent solicitation	Neutral	-0.2%	IPALCO extends and amends note consent solicitations, adjusts fees and change-of-control terms.
Mar 19	Consent solicitation	Neutral	-0.2%	DPL LLC extends consent deadline and revises fee formula for 2029 senior notes.
Mar 16	Consent solicitation	Neutral	+0.1%	AES raises consent fee and extends solicitations for four senior note series.
Mar 16	Consent solicitation	Neutral	+0.1%	DPL LLC increases consent fee and extends deadline for 4.35% Senior Notes due 2029.

Pattern Detected

Recent news has focused on merger-related consent solicitations and financing tweaks, with very small share-price reactions around each announcement.

Recent Company History

Over the past weeks, AES news centered on consent solicitations and amendments for multiple senior notes tied to the planned merger with Horizon Parent. On Mar 16, AES increased consent fees and extended deadlines, followed by further amendments and extensions for AES, IPALCO and DPL LLC on Mar 19. Price moves around these items stayed within about a percent, indicating that debt-consent structuring has not materially shifted equity sentiment ahead of today’s Maximo robotics milestone.

Market Pulse Summary

This announcement highlights Maximo’s transition from pilot projects to commercial-scale deployment,...

Analysis

This announcement highlights Maximo’s transition from pilot projects to commercial-scale deployment, with 100 MW of robotic installation and productivity of up to 24 modules per shift hour per person. It reinforces AES’ focus on utility-scale renewables and automation. Against a backdrop of merger-related financing activity and a pending $15.00-per-share cash acquisition, investors may watch how such technology initiatives support long-term growth and execution within the combined ownership structure.

Key Terms

utility-scale, engineering, procurement and construction (epc), edge ai, physics-based simulation

4 terms

utility-scale technical

"successful installation of 100 megawatts (MW) of utility-scale solar capacity"

Large-scale infrastructure, usually for electricity generation or storage, built to supply power to the public grid rather than to a single home or small business. Think of it as a factory-sized plant versus a backyard installation: it requires much more capital, land and permitting but can sell large volumes of power under long-term contracts, so investors care because it offers predictable, utility-level revenue streams, different risk profiles and regulatory exposure compared with small projects.

engineering, procurement and construction (epc) technical

"Robotic installation solutions like Maximo allow Engineering, Procurement and Construction (EPC) firms"

Engineering, procurement and construction (EPC) is a project delivery method where a single contractor designs the project, buys the major equipment and materials, and builds the facility from start to finish, like hiring one contractor to design and build a house and buy the appliances. Investors care because EPC contracts bundle technical and schedule risk with a single counterparty and often include fixed prices and deadlines, which can affect project costs, profit visibility and cash flow.

edge ai technical

"By combining AI infrastructure, simulation, and edge AI, platforms like Maximo"

Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.

physics-based simulation technical

"through physics-based simulation and AI driven modeling before deploying updates"

A physics-based simulation is a computer model that imitates how real-world objects and forces (like gravity, friction, fluid flow, or collisions) behave so users can test designs or processes without building them physically. Investors care because these simulations reduce time and cost, reveal risks or performance before production, and can signal whether a company’s technology or products are likely to work in the real world—think of it as a detailed flight simulator for a product’s performance.

AI-generated analysis. Not financial advice.

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.

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, katie.lau@aes.com

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

SOURCE Maximo

FAQ

How much solar capacity did Maximo install at AES Bellefield on March 25, 2026 (AES)?

Maximo installed 100 MW of utility-scale solar at Bellefield on March 25, 2026. According to the company, the deployment scaled from a single robot to a four-unit fleet, marking transition from validation to sustained commercial production at that site.

What installation productivity did Maximo report for the Bellefield project (AES)?

Maximo reported robots consistently surpassed one module per minute technical rate during Bellefield deployment. According to the company, crews installed as many as 24 modules per shift hour per person, nearly double typical regional installation output.

How did NVIDIA and AWS support Maximo's robotic deployment at Bellefield (AES)?

NVIDIA provided simulation and AI frameworks; AWS supplied scalable compute and analytics for operations. According to the company, NVIDIA Omniverse and Isaac Sim accelerated development while AWS enabled real-time construction intelligence and continuous performance improvement.

Does the Bellefield result indicate Maximo's robots can scale to larger solar projects (AES)?

Bellefield demonstrates commercial-scale repeatability at a single site and suggests broader scalability potential. According to the company, the installation shows robotics can operate reliably and supports the claim of readiness for gigawatt-scale solar construction.

How many Maximo robots operated in parallel on the Bellefield installation (AES)?

The Bellefield project used a coordinated fleet of four Maximo units operating in parallel. According to the company, this fleet integration with union technicians delivered a step-change in productivity while maintaining safety and quality standards.

What operational benefits did Maximo claim from using robotics at Bellefield (AES)?

Maximo claimed faster installation, higher quality, and improved safety from robotics at Bellefield. According to the company, AI-driven robotics reduced validation timelines and increased confidence in field performance while standardizing installation quality.