AI Resilience Report forSolar Photovoltaic Installers

Right now, most AI in the solar installation world is being used to augment installers rather than fully replace them. On the design and paperwork side, AI tools are already handling a big chunk of the pre-installation work — rather than spending weeks drafting a single project layout, those tools can allow designers to test many scenarios and to do so in a way that incorporates a dynamic supply chain and varied equipment availability. But even the software companies building these tools stress that "the machines generate and validate options, but human judgment remains essential to interpret results, weigh risk and decide which projects should move forward".

On the physical installation side, robots are starting to help with the heaviest, most repetitive lifting. In a 2026 field trial in Spain, Comau's "Hyperflex" mobile robotic factory automated the manufacturing, transportation, and installation of solar tracker components in a single streamlined workflow, using AI, robotics, and caterpillar tracks to install PV modules alongside human operators who handled quality control. In the U.S., Burns & McDonnell recently partnered with Gritt to deploy AI-powered robots on utility-scale solar sites ^[1], explicitly framing the tech as a helper: the technology is intended to complement construction workers rather than replace them, reducing exposure to repetitive tasks and allowing crews to focus on higher-value activities.

Adoption is moving fastest where AI clearly saves money or protects workers. The Interstate Renewable Energy Council notes that digital scheduling, remote monitoring, and modular components are helping utility-scale companies overcome labor shortages ^[2], and that the need for highly trained workers is expected to increase as automation takes over some of the repetitive tasks. Safety is another push factor — as Burns & McDonnell's renewables director put it, "solar construction is very repetitive work, lifting 80-pound modules day after day," and technology can help teams work safer, faster and smarter.

What's slowing full automation? Rooftop residential jobs are messy, custom, and code-heavy, so hardware robots struggle outside controlled sites. Demand for human installers is also exploding: the U.S. Bureau of Labor Statistics projects solar electric power generation employment to grow 180.2% from 2024 to 2034 ^[3], meaning there's plenty of work to go around.

So if you're curious about this field, the encouraging news is that AI is mostly taking over the tedious drafting and heavy lifting, while your hands-on skills, safety judgment, and code knowledge remain in very high demand.