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Will AI replace solar photovoltaic installers?

A little.

Almost all of the day is roof work - mounting, sealing, wiring and commissioning - that software can plan but not perform. This job scores 77 out of 100 on (higher is safer). Today people do 34% of the work with AI’s help, and 66% still needs a person.

Updated 3 October 2026 47-2231 5241 2026-Q4
Construction and ExtractionSolar Photovoltaic Installers47-2231 · 2026-Q4
0% AI does it34% AI helps66% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 66%AI helps 34%AI does it 0%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why rooftop work stays with people

Will AI replace solar photovoltaic installers? Not on its own. The job is paid for what happens on a roof or a racking row: carrying modules up a ladder, bolting rails to rafters you cannot see, flashing and sealing every penetration, then pulling conductors to the inverter and terminating them correctly. Software can plan all of that. It cannot hold a torque wrench in the wind.

Two tasks explain most of it. Fastening mounting hardware means finding structural members through decking, drilling in the right place and keeping the roof watertight afterward. Connecting panels into the electrical system means stripping, landing and torquing conductors, labeling circuits and proving the strings read what the design says they should. Both are judgment plus hands, on a surface that is sloped, hot and never quite like the last one.

The paperwork around the job is a different story. Sizing a system, drawing a layout, assembling a permit package and watching production data are all desk tasks, and desk tasks are where tools have moved fastest. That is task erosion, not a vanishing trade. You can see how we split the two on our Can AI do it? method page.

What software handles, what it assists, and what still needs hands

Start with the share AI can already take end to end: see the task split above — around 0% of the automatable task time. That sits in the office-side work: producing system drawings and sizing calculations from site data, and compiling the documentation a permit office or utility wants before a crew ever shows up.

A larger slice is assisted rather than replaced — 34% of that same automatable time. Shade and layout analysis from imagery now shortens site assessment, and inverter telemetry points a technician at the failing string before the truck leaves the yard. The decision, the climb and the fix remain a person’s.

Then the core of the day. 66% of total task time still needs a person, and it is the physical sequence: installing and aligning the mounting structure, weatherproofing roof penetrations, terminating DC and AC conductors, and commissioning the finished array. Coverage overall is 19 out of 100, which tells you how little of the full day a machine can currently carry.

How strong is the evidence here?

Thin, and we say so. Our evidence grade for this job is D, which means no study has yet tested a machine against a qualified installer on this job’s real tasks. Because of that we publish no quality-parity number for solar PV installers. A grade without a test is more honest than a figure without one.

What would move it: a timed, repeated field trial on genuine sites, comparing a robotic crew and a human crew on module placement, rail alignment and penetration sealing, scored on inspection pass rates, rework and safety incidents, with the results published. Until something like that exists, claims about robot installers remain demonstrations rather than measurements. Our Is it better than a person? method page explains how a graded result would be recorded.

Good to know: machine demonstrations on flat, standardized utility-scale rows tell you little about a pitched residential roof with three obstructions and old decking.

When the picture could shift

Most likely after 2047 (8 in 10 of our scenarios). We do not restate what that window measures here; the When could it be replaced? method sets it out.

Two things could pull it earlier. The first is the mix of work: as more capacity goes into large, flat, highly repetitive utility-scale fields with identical racking, machine placement gets easier, and the share of the day that is pure repetition grows. The second is prefabrication — mounting assemblies that arrive pre-built shrink the fiddly part of each install.

Two things hold it back. The dexterity required puts this work in the hardest robotics tier we track: a machine would need to climb, balance, see under a module and manipulate small fasteners, all outdoors. And the economics are awkward. The cost panel above compares software tooling with a worker’s hourly cost, but no tooling in that price range can get onto a roof; the hardware that could is a capital purchase, not a subscription. Add inspection and licensing rules for electrical work and the brake is firm.

How to stay needed as an installer

Lean into the parts of the job that only get harder to hand over. Electrical terminations and commissioning sit at the top: the person who proves a system energizes safely and passes inspection owns the last mile. Weatherproofing is second — sealing and flashing decisions are liability work that nobody outsources to a model. Third is diagnosis on existing arrays: aging systems, string faults and warranty callbacks are growing work.

Two skills to add. Battery storage commissioning pulls you into the highest-value part of a modern install. Code fluency and an electrical license widen what you can sign off alone. Pay and demand support the effort: the US had about 31,350 solar photovoltaic installers with a median wage of $53,140, and federal projections show strong growth for the decade to 2035, per the Bureau of Labor Statistics (2025).

Nearby jobs worth a look if you want to move sideways or up: electricians, solar thermal installers and technicians, and solar energy installation managers. You can also browse the wider construction trades workers family or the construction sector, and see how physical jobs compare in our guide to humanoid robots and physical work.

To see this job beside another trade, use compare two jobs. The scoring itself is set out in full on our methodology page.

Frequently asked questions

Is there a shortage of solar installers?

Hiring has been tight in many states, and federal projections point to fast employment growth for solar photovoltaic installers through the decade to 2035 (BLS, 2025). Shortages tend to be local and seasonal rather than national, and they bite hardest for licensed electrical work and commissioning. Crews report that finding people who can finish and certify a system is harder than finding people who can carry panels.

Can a robot install solar panels today?

Machines can place modules on large, flat, highly repetitive utility-scale sites, where racking is standardized and the ground is drivable. Pitched residential roofs are a different problem: climbing, locating rafters, sealing penetrations and terminating conductors all at height. The task list above shows which parts of the day still need a person, and our evidence grade shows no published head-to-head field test yet.

What tech is next for the solar industry?

Expect more of it on the planning and monitoring side: imagery-based site assessment, automated permit and interconnection packets, and fault detection from inverter telemetry. On site, the bigger changes are prefabricated mounting assemblies, lighter modules and battery storage becoming standard. Field robotics is advancing fastest where the work is flat and repeatable, which means large ground-mount projects before rooftops.

Why are people getting rid of solar panels?

Removals are usually practical, not a verdict on solar. Panels come off for roof replacement and go back on. Some older arrays are stripped during a repower, where newer, higher-output modules go up on the same site. Others come down after poor installs, leaks, lease disputes or storm damage. Each of those removals is paid work for installers, not lost work.

Which solar company does Elon Musk own?

Tesla acquired SolarCity in 2016, and its residential solar and Solar Roof products are sold under the Tesla brand. The company does not change the picture for the trade much either way: panels, inverters and racking from any brand still have to be carried, mounted, sealed, wired and commissioned on site by a qualified crew.

What should a new installer learn first?

Get strong on the parts of the job that carry liability and sign-off. That means electrical fundamentals and code, safe work at height, flashing and weatherproofing, and commissioning a system so it passes inspection first time. Battery storage is the fastest-growing add-on. Software skills help with layout and diagnostics, but they complement the field work rather than substitute for it.

Each ridge is a slice of the job's task time.Needs a human 66%AI helps 34%AI does it 0%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Solar Photovoltaic Installers, O*NET-SOC 47-2231. 66% of the job’s task time still needs a human, so 66 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 66% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 66%AI helps 34%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 66%AI helps 34%AI does it 0%
Install photovoltaic (PV) systems in accordance with codes and standards, using drawings, schematics, and instructions.Needs a human
Check electrical installation for proper wiring, polarity, grounding, or integrity of terminations.Needs a human
Identify electrical, environmental, and safety hazards associated with photovoltaic (PV) installations.Needs a human
Identify installation locations with proper orientation, area, solar access, or structural integrity for photovoltaic (PV) arrays.Needs a human
Assemble solar modules, panels, or support structures, as specified.Needs a human
Apply weather sealing to array, building, or support mechanisms.Needs a human
Install module array interconnect wiring, implementing measures to disable arrays during installation.Needs a human
Install required labels on solar system components and hardware.Needs a human
Diagram layouts and locations for photovoltaic (PV) arrays and equipment, including existing building or site features.AI helps
Determine materials, equipment, and installation sequences necessary to maximize installation efficiency.AI helps
Test operating voltages to ensure operation within acceptable limits for power conditioning equipment, such as inverters and controllers.Needs a human
Determine appropriate sizes, ratings, and locations for all system overcurrent devices, disconnect devices, grounding equipment, and surge suppression equipment.AI helps
Activate photovoltaic (PV) systems to verify system functionality and conformity to performance expectations.Needs a human
Identify and resolve any deficiencies in photovoltaic (PV) system installation or materials.Needs a human
Visually inspect and test photovoltaic (PV) modules or systems.Needs a human
Examine designs to determine current requirements for all parts of the photovoltaic (PV) system electrical circuit.AI helps
Demonstrate system functionality and performance, including start-up, shut-down, normal operation, and emergency or bypass operations.Needs a human
Identify methods for laying out, orienting, and mounting modules or arrays to ensure efficient installation, electrical configuration, or system maintenance.AI helps
Measure and analyze system performance and operating parameters to assess operating condition of systems or equipment.Needs a human
Program, adjust, or configure inverters and controls for desired set points and operating modes.Needs a human
Determine connection interfaces for additional subpanels or for connecting photovoltaic (PV) systems with utility services or other power generation sources.AI helps
Determine photovoltaic (PV) system designs or configurations based on factors such as customer needs, expectations, and site conditions.AI helps
Select mechanical designs, installation equipment, or installation plans that conform to environmental, architectural, structural, site, and code requirements.AI helps
Perform routine photovoltaic (PV) system maintenance on modules, arrays, batteries, power conditioning equipment, safety systems, structural systems, weather sealing, or balance of systems equipment.Needs a human
Compile or maintain records of system operation, performance, and maintenance.AI helps
Install active solar systems, including solar collectors, concentrators, pumps, or fans.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: no sooner than 2047

Most likely after 2047 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
A little.
By 2045
20%
of our scenarios have AI largely doing this job by 2045 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)
By 2060
90%
of our scenarios have AI largely doing this job by 2060 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 100.0% of scenarios: AI could do a little of this job (A little.)100%20302035: 70.0% of scenarios: AI could do a little of this job (A little.)70%2035: 30.0% of scenarios: AI could partly do this job (Partly.)30%20352040: 10.0% of scenarios: AI could do a little of this job (A little.)10%2040: 60.0% of scenarios: AI could partly do this job (Partly.)60%2040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%20402045: 10.0% of scenarios: AI could do a little of this job (A little.)10%2045: 20.0% of scenarios: AI could partly do this job (Partly.)20%2045: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2045: 20.0% of scenarios: AI could largely do this job (Largely.)20%20452050: 10.0% of scenarios: AI could do a little of this job (A little.)10%2050: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2050: 50.0% of scenarios: AI could largely do this job (Largely.)50%20502055: 10.0% of scenarios: AI could do a little of this job (A little.)10%2055: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2055: 80.0% of scenarios: AI could largely do this job (Largely.)80%20552060: 10.0% of scenarios: AI could do a little of this job (A little.)10%2060: 90.0% of scenarios: AI could largely do this job (Largely.)90%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%0.0%100.0%0.0%
20350.0%0.0%30.0%70.0%0.0%
20400.0%30.0%60.0%10.0%0.0%
204520.0%50.0%20.0%10.0%0.0%
205050.0%40.0%0.0%10.0%0.0%
205580.0%10.0%0.0%10.0%0.0%
206090.0%0.0%0.0%10.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

LiabilityMistakes are rated 4.0 out of 5 for consequence and decisions 4.0 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 4.3 out of 5; the sector has its own rules on who may do the work.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.9 and physical closeness 4.3 out of 5; caring for or serving people is 2.4 out of 5 in importance.
Physical work58% of the task time is physical; robots have been shown on 73% of that time.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then moderate-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (401 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$40–$4,010
A person’s wage for the same hours
$8,030–$15,430

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

58%
of the task time is physical work
Dexterous humanoid
the kind of robot the physical work would need
Not commercial: no cited robot does most of this work; humanoids are at demonstration and pilot stage.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 66%AI helps 34%AI does it 0%
Writing · 3.2% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 25.3% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 3.3% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 12.9% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 0% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 8.6% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 46.7% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 66%AI helps 34%AI does it 0%
How exposed is it?

Still needs a human: 77/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 66% needs a human, 34% AI helps, 0% AI does it. Still needs a human: 77/100 ↑ safer. Will AI replace them? A little.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 77/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI and robotics may automate some design, inspection, and installation tasks, but human installers will still be needed for on-site work, safety, troubleshooting, and complex conditions.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

Solar panel installation requires physical dexterity, site-specific judgment, and work in varied outdoor conditions that robotics and AI cannot cost-effectively replicate within the next decade, though AI may assist with design, permitting, and efficiency improvements in the trade.

claude-sonnet-5 · asked 2026-10-03
GeminiNo

While AI will improve site planning, logistics, and system diagnostics, human workers will still be required to navigate diverse rooftops and physically assemble, wire, and secure the hardware.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate some design, inspection, and repetitive installation tasks, but human installers will likely remain essential for complex, site-specific, and safety-critical work.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Solar Photovoltaic Installers? A little. Still needs a human: 77/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/solar-photovoltaic-installers/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.