Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Solar Panel Installers:

61.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient solar panel installation is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For solar panel installers, five of eight sources had data. The AI exposure signals mostly agreed: AI Resilience Model rated human contribution High, while Microsoft and Will Robots Take My Job landed at Medium, giving medium-high confidence. Strong wage signals lifted the economic score, and that combination earns solar panel installers a label of "Mostly Resilient."

AI Resilience Report forSolar Photovoltaic Installers

$53,140 median salary4,200 annual openingsSOC Code: 47-2231.00

Solar Photovoltaic Installers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Solar PV installers are labeled "Mostly Resilient" because while AI is taking over some of the repetitive and time-consuming tasks (like drafting project layouts and handling paperwork), the hands-on physical work of actually installing solar panels still requires human skill, safety judgment, and knowledge of local building codes. Robots are starting to help with heavy lifting on large utility-scale sites, but rooftop residential jobs are too custom and unpredictable for machines to handle on their own.

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This role is mostly resilient

Solar PV installers are labeled "Mostly Resilient" because while AI is taking over some of the repetitive and time-consuming tasks (like drafting project layouts and handling paperwork), the hands-on physical work of actually installing solar panels still requires human skill, safety judgment, and knowledge of local building codes. Robots are starting to help with heavy lifting on large utility-scale sites, but rooftop residential jobs are too custom and unpredictable for machines to handle on their own.

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Analysis of Current AI Resilience

Solar Panel Installers

Updated Quarterly

Analysis
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State of Automation

How is AI changing Solar Panel Installers jobs?

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.

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AI Adoption

How fast is AI adoption growing for Solar Panel Installers?

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.

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Will AI replace Solar Panel Installers?

Will AI replace Solar Panel Installers?

No. We don't think AI will replace Solar Photovoltaic Installers, though we do expect the job to change.

Solar PV installers earn a 61.5% AI Resilience Score from us, and the reasons are pretty clear once you look at what AI is actually doing in this field. On the design side, AI tools are speeding up project layouts and paperwork. On the physical side, robots are starting to handle the heaviest, most repetitive lifting on large utility-scale sites. Burns and McDonnell recently deployed AI-powered robots on solar construction sites, framing the technology as a complement to workers, not a replacement, letting crews focus on higher-value activities [1].

What stays human is significant. Rooftop residential jobs are messy, custom, and code-heavy, which is exactly where hardware robots struggle. Safety judgment, quality control, and hands-on problem-solving are not going away. The Interstate Renewable Energy Council notes that the need for highly trained workers is actually expected to increase as automation takes over repetitive tasks [2].

The bigger picture also helps. Demand for installers is growing fast, meaning there is plenty of work to go around [3]. If you are considering this career, the honest message is that AI is mostly your assistant here, not your replacement.

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Latest AI news for Solar Panel Installers

These articles highlight the growing role of AI in solar photovoltaic installation, suggesting a promising future for installers. For instance, the AI framework for fault detection can enhance the reliability of PV systems, making skilled technicians even more essential for maintenance and troubleshooting. Additionally, the introduction of AI-powered robots, like Maximo, shows a shift towards automation, emphasizing the need for installers who can work alongside advanced technology. This evolution underscores the importance of adaptability and continuous learning in maintaining a resilient career in solar energy.

More Career Info

Career: Solar Photovoltaic Installers

They set up and maintain solar panels on rooftops or other structures to capture sunlight and turn it into electricity for homes and businesses.

Employment & Wage Data

Median Wage

$53,140

Jobs (2025)

31,100

Growth (2025-35)

+36.5%

Annual Openings

4,200

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceCore Task

Install photovoltaic (PV) systems in accordance with codes and standards, using drawings, schematics, and instructions.

2

96% ResilienceCore Task

Apply weather sealing to array, building, or support mechanisms.

3

95% ResilienceCore Task

Assemble solar modules, panels, or support structures, as specified.

4

95% ResilienceCore Task

Install module array interconnect wiring, implementing measures to disable arrays during installation.

5

95% ResilienceSupplemental

Install active solar systems, including solar collectors, concentrators, pumps, or fans.

6

94% ResilienceCore Task

Perform routine photovoltaic (PV) system maintenance on modules, arrays, batteries, power conditioning equipment, safety systems, structural systems, weather sealing, or balance of systems equipment.

7

94% ResilienceCore Task

Install required labels on solar system components and hardware.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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