As the global energy transition accelerates, the renewable sector faces a paradox: while the demand for utility-scale solar projects has never been higher, the industry is grappling with a persistent and compounding labor shortage. To bridge the widening gap between ambitious project pipelines and the availability of skilled workers, a new generation of mechanical partners is entering the field. AI-powered construction robotics are no longer a futuristic concept—they are now actively installing gigawatts of solar capacity, transforming how the industry approaches safety, efficiency, and project velocity.
The Technological Pivot: Burns & McDonnell and Gritt
In a significant move to modernize its construction methodology, global engineering, construction, and procurement (EPC) contractor Burns & McDonnell has officially entered the era of robotic-assisted installation. Following a rigorous year-long evaluation period designed to test the resilience of smart machines in the unpredictable conditions of outdoor construction, the firm recently transitioned from pilot testing to full-scale operational deployment.
The catalyst for this shift is a strategic partnership with Gritt, an innovator in artificial intelligence and robotics. This summer, the collaboration reached a milestone at the 346-megawatt (MW) Gibson City Solar Project in McLean County, Illinois. Developed by Earthrise Energy, the site served as the proving ground for Gritt’s robotic systems. The machines were tasked with the most physically taxing aspect of the construction: the lifting and precise placement of heavy solar modules. By offloading these repetitive, high-stress tasks to autonomous systems, the partnership aims to mitigate the physical toll on human workers while creating a more predictable construction schedule.
A Chronology of Innovation: From Pilot to Fleet
The integration of robotics into solar construction has evolved rapidly over the past three years.
- 2024: The industry witnessed a landmark moment when AES Corporation unveiled "Maximo," a proprietary, AI-enabled solar installation robot. Designed to work in tandem with human teams, Maximo was built to solve the "labor-intensity" problem by automating the module-placement process.
- Early 2025: Initial field validations for Maximo took place at the Oak Ridge Solar project in Louisiana and the Cavalier Solar project in Virginia. These sites proved that AI-powered units could handle diverse climates and site conditions, successfully integrating with various tracker and module technologies.
- Late 2025 – Early 2026: Following the success of initial deployments, AES scaled its operations, deploying a fleet of four Maximo units to the massive Bellefield solar-plus-storage project in Kern County, California.
- Summer 2026: Burns & McDonnell officially integrated Gritt’s AI-powered technology into the Gibson City Solar Project in Illinois, marking a broader industry adoption of robotics beyond individual utility efforts.
- September 2026: AES reported that the Maximo fleet at the Bellefield site surpassed the 100 MW installation milestone, signaling a shift from experimental "proof-of-concept" to sustained commercial production.
Supporting Data: Efficiency and Productivity Metrics
The shift toward automation is driven by hard data. The physical requirements of installing utility-scale solar are staggering: modules often weigh upwards of 60 pounds, and workers are expected to perform repetitive lifts and mounting tasks thousands of times per day.
According to performance data released by AES regarding the Maximo 3.0 units, the integration of robotics resulted in a "step-change" in productivity. The units consistently achieved installation rates exceeding one module per minute. When working in coordination with human technicians, the total project output increased to as many as 24 modules per shift hour per person—a figure nearly double the industry average for traditional, manual-only installation methods.
These gains are not merely about speed; they are about consistency. Unlike human fatigue, which naturally increases over an eight-to-ten-hour shift, AI-powered robots maintain a steady pace. Furthermore, these machines are designed to "learn" from their environment. Each construction site acts as a classroom, with the software analyzing variables like wind speed, terrain slope, and logistical bottlenecks to optimize future maneuvers.
Official Perspectives: Technology as a "Tool," Not a Replacement
Despite the transformative nature of these robots, both contractors and technology developers have been careful to frame the narrative around "augmentation" rather than "replacement." The consensus among industry leaders is that robots are tools—analogous to a high-tech drill or a specialized crane—that enhance the capabilities of the existing workforce.
"Solar construction is very repetitive work, lifting 80-pound modules day after day," says Adam Bernardi, renewables business line director at Burns & McDonnell. "As solar installations continue to grow in scale, we have an opportunity to leverage technology in ways that help our teams work safer, faster, and smarter. By helping crews handle some of the most repetitive and physically demanding tasks, Gritt offers a solution that can improve safety while helping us deliver projects more predictably."
Jami Stone, a construction project manager at Burns & McDonnell, echoes this sentiment, emphasizing the human-centric future of the industry. "Construction has always been powered by skilled craft, and that isn’t changing," Stone notes. "There will always be a human element to robotics. Learning how to operate, manage and work alongside these technologies helps expand construction professionals’ toolkit."
From the perspective of the developers, the goal is to stabilize the industry’s output. Deise Yumi Asami, head of renewable technology and innovation at AES, describes Maximo as "equipment—a tool for our construction workforce that helps them be more productive and to keep systems going the entire time we’re on site."
The Technical Foundation: AWS and Machine Learning
The intelligence behind these machines is as critical as their mechanical hardware. In the case of the Maximo system, AES utilized Amazon Web Services (AWS) tools, specifically AWS RoboMaker, to bridge the gap between digital simulation and physical reality. This cloud-based simulation allows developers to test thousands of variables in a virtual environment before a single bolt is turned on-site.
This digital-twin approach allows the robots to adapt to different manufacturers’ trackers and modules, as well as varying lighting and climate conditions. Because the software is cloud-connected, improvements made at one site in California can be pushed to units operating in Louisiana, creating a "fleet learning" effect that compounds the value of every new project completed.
Strategic Implications for the Future of Energy
The successful implementation of AI-driven robotics at sites like Gibson City and Bellefield carries profound implications for the global energy market:
1. Accelerating Time-to-Power
One of the greatest risks to the global energy transition is the "bottleneck" of construction. Projects often face delays due to labor shortages or unexpected site conditions. Robotic fleets provide a hedge against these risks, allowing developers to meet aggressive commercial operation dates (COD) even when labor markets are tight.
2. Improving Safety and Longevity
Musculoskeletal injuries are a common hazard in construction. By offloading the "heavy lifting" to robots, firms can significantly reduce the risk of on-site injury and physical exhaustion. This not only improves the safety record of the EPC but also helps retain experienced workers who might otherwise leave the industry due to physical burnout.
3. Scaling for the "Gigawatt Era"
As the world moves toward multi-gigawatt solar farms, manual installation methods face a scaling wall. Robotics allow for a level of consistency that manual labor struggles to maintain over thousands of acres. The 100 MW milestone achieved by AES at the Bellefield project demonstrates that robotic installation is no longer a niche experiment; it is becoming a standard requirement for tier-one utility-scale solar projects.
4. Reshaping the Labor Market
The transition to robotics will inevitably change the job description of a "solar installer." In the near future, the role will involve more technical management—operating, maintaining, and supervising autonomous fleets. This shift could help attract a new generation of tech-savvy workers to the construction industry, framing renewable energy development as a high-tech career path rather than purely a manual labor job.
Conclusion
The partnership between giants like Burns & McDonnell and tech innovators like Gritt and AES signifies a permanent evolution in how we build the infrastructure of the future. While the core of construction remains the human spirit and skilled labor, the addition of AI-powered "mechanical coworkers" is providing the extra leverage needed to meet the world’s insatiable demand for clean energy. As these systems continue to evolve, one thing is clear: the future of solar is not just about the panels themselves, but the intelligent, automated ways in which we bring them to life.
