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Will AI replace helpers–roofers?

Nah.

Nearly all of the work is carrying, tearing off and positioning material on a pitched roof, where software has no way in. This job scores 88 out of 100 on (higher is safer). Today 100% of the work still needs a person.

Updated 3 October 2026 47-3016 2026-Q4
Construction and ExtractionHelpers–Roofers47-3016 · 2026-Q4
0% AI does it0% AI helps100% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 100%AI helps 0%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 this work stays on the roof

Will AI replace helpers–roofers? Look at what the job actually is on a Tuesday morning. A helper carries bundles of shingles up a ladder, tears off old roofing, hauls debris to the dumpster, and holds material in place while the roofer fastens it. Every one of those tasks happens on a sloped, hot, moving surface, with weather, traffic and other trades in the way.

Software has no way in. There is no screen step between picking up a bundle and setting it down in the right spot. The judgment involved is physical: where to stand, how to balance a load on a 6:12 pitch, when the deck underneath feels soft. That is why the coverage figure on this page, which is the share of task time AI can handle today, sits where it does. You can read how that number is built on the coverage method page.

The economics point the same way. The cost panel on this page compares a day of software against a day of labor, and the software side looks cheap. It only matters if the software can climb a ladder with 80 pounds on its shoulder. The robotics line puts the physical share of this job at the ceiling and the machine needed at the dexterous humanoid tier, which is the hardest class of robot to build, insure and run on a jobsite.

What AI does, helps with, and leaves to people

Start with the group AI can do on its own. No task on this helper’s list sits there yet. The share of task time in that group reads 0%.

Next, the group where AI assists a person rather than finishing the work. Again, no task on this list falls into it, and that share reads 0%. Tools exist around the job, such as drone roof inspection and estimating software, but those sit with estimators, salespeople and supervisors, not with the person carrying material.

That leaves the work itself. 100% of task time on this list needs a person: setting up and moving ladders and scaffolds, tearing off old roofing and clearing the deck, carrying shingles, rolls and tools to the work area, holding and positioning material while it is fastened, and sweeping up nails and scrap at the end of the day. Those are also the tasks that teach the trade. A helper who does them for two seasons is the next roofer.

What has actually been tested

Nothing has been tested against a person doing this job. The evidence grade on this page is D, which on our scale means no direct comparison exists, so no parity number is published. We would rather show the gap than fill it with a guess.

What would settle it is specific: a timed, repeated trial of a machine doing real helper tasks on real roofs. Tear-off and debris removal on an occupied house. Carrying a full bundle up a ladder in wind. Working a cut-up roof with valleys, vents and a chimney, alongside a human crew, across a full day rather than a demo. Until that is measured and published, the honest answer is that the question is open. The quality parity method explains how a graded score would work once such a test exists.

The labor market gives some context. The Bureau of Labor Statistics counts roughly 6,030 helpers–roofers in the United States, with median pay around $44,160 a year, and projects employment close to flat between 2025 and 2035 (BLS, 2025). Flat is not shrinking, but it is also a small, cyclical job that follows housing more than it follows software.

When this could change

Most likely after 2048 (8 in 10 of our scenarios). The replacement-year method sets out what that window is and is not.

Two things could pull it earlier. First, a real jump in legged and climbing robots that can handle a pitched, cluttered surface rather than a flat warehouse floor; our guide to humanoid robots and physical jobs tracks where that stands. Second, a shift in how roofs are built: more prefabricated panels, shop-assembled sections and crane placement would cut the hand-carrying that fills a helper’s day.

Two things hold it back. Site conditions are never the same twice, so a machine has to generalize across slopes, decks, weather and tear-off surprises. And liability is real. Falls are the main hazard in this trade, and a contractor who puts an autonomous machine on a residential roof carries a risk no insurer prices cheaply today. Small residential contractors, who employ most of these crews, also buy equipment slowly.

How to stay needed on a roof crew

Lean into the tasks that make a helper worth keeping. Safe setup and movement of ladders, scaffolds and fall protection. Clean tear-off and deck inspection, where you spot rot, soft sheathing and bad flashing before the new roof goes on. Material handling and staging, so the roofer never waits on you.

Two skills raise your floor. One is certification: OSHA 10 or 30 and fall-protection training make you the person a foreman wants on a steep job. The other is reading plans and specs, including the detail drawings for valleys, penetrations and ventilation, which is how a helper moves from carrying to installing.

What to do: ask your foreman to let you run tear-off inspection and flashing prep on the next job, and write down what you find.

If you are weighing where to go next, the closest moves are the trade itself and the neighboring helper roles. Look at Roofers, Helpers–Carpenters and Helpers–Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters, or put two of them side by side on the compare page. The wider picture sits on the construction trades helpers family page and the construction sector page, and jobs that mostly need a person (our top band, Nah.) are gathered on the safest jobs from AI list. How every figure here is produced is set out in the methodology.

Frequently asked questions

Will construction be replaced with AI?

No single answer fits the whole industry. Office-side construction work, such as estimating, scheduling, bid writing and document review, is where software is moving fastest. Field trades that involve climbing, lifting and fitting material to an uneven building are much slower, because the barrier is machines rather than models. The task list above shows how that split looks for one helper role.

What is the 10/20/70 rule for AI?

It is a rule of thumb popularized by McKinsey about where effort goes in an AI project: roughly 10 percent on the algorithm, 20 percent on data and technology, and 70 percent on people, process and change management. The point is that adoption, training and workflow redesign decide whether a tool works. On a roof crew, that last 70 percent barely exists today, because almost nothing in the day runs through software.

What is AI roofing?

The phrase usually means software sold to roofing companies rather than anything on the roof itself. Typical uses are drone and satellite imagery for measurements, damage detection in photos, automated estimates and proposals, lead scoring, and chatbots that book appointments. Those tools touch sales, estimating and office admin. They do not tear off shingles, carry bundles or set up fall protection.

Will electricians be replaced by AI?

Electricians face the same basic constraint as roofing helpers: most of the work happens in confined, unpredictable physical space, with code compliance and inspection attached. Design, load calculation and permit paperwork are more exposed than pulling wire in a finished wall. You can look up electricians in the rankings on this site to see how the scores and evidence grade compare with this page.

What does a helper–roofer actually do all day?

The day is mostly material handling and site work: setting up ladders and scaffolds, carrying shingles, rolls, tools and fasteners to the work area, tearing off old roofing, cleaning the deck, holding and positioning material for the roofer, and clearing debris and nails at the end. It is also an apprenticeship in practice, which is how most roofers learn the trade.

Could robots do roofing work before they do helper work?

Possibly, on simple surfaces. Flat commercial roofs are closer to a factory floor, so automated membrane welding and solar panel placement are more plausible there than on a cut-up residential roof. Helper work is harder for a machine because it mixes climbing, variable loads and constant improvisation. The robotics panel on this page shows which tier of machine the job would need.

Each ridge is a slice of the job's task time.Needs a human 100%AI helps 0%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.

Helpers–Roofers, O*NET-SOC 47-3016. 100% of the job’s task time still needs a human, so 100 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 . 100% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 100%AI helps 0%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 100%AI helps 0%AI does it 0%
Check to ensure that completed roofs are watertight.Needs a human
Set ladders, scaffolds, and hoists in place for taking supplies to roofs.Needs a human
Clean work areas and equipment.Needs a human
Maintain tools and equipment.Needs a human
Provide assistance to skilled roofers installing and repairing roofs, flashings, and surfaces.Needs a human
Locate worn or torn areas in roofs.Needs a human
Sweep and clean roofs to prepare them for the application of new roofing materials.Needs a human
Remove old roofing materials.Needs a human
Perform emergency leak repairs and general maintenance for a variety of roof types.Needs a human
Unload materials and tools from work trucks, and unroll roofing as directed.Needs a human
Hoist tar and roofing materials to roofs, using ropes and pulleys, or carry materials up ladders.Needs a human
Clear drains and downspouts and clean gutters.Needs a human
Cover roofs with layers of roofing felt or asphalt strips before installing tile, slate, or composition materials.Needs a human
Attach sheets of metal to roof boards or building frameworks when installing metal roofs.Needs a human
Apply shingles, gravel, or asphalt over the top layer of tar to protect the roofing material.Needs a human
Chop tar into small pieces, and heat chopped tar in kettles.Needs a human
Attach roofing paper and composition shingles, using nails.Needs a human
Place tiles, nail them to roof boards, and cover nailheads with roofing cement.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 2048, most likely after 2060

Most likely after 2048 (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?
Nah.
By 2045
10%
of our scenarios have AI largely doing this job by 2045 (Largely.)
90% still have it mostly needing a person (A little. or Nah.)
By 2060
10%
of our scenarios have AI largely doing this job by 2060 (Largely.)
90% 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: this job mostly needs a person (Nah.)100%Today2030: 100.0% of scenarios: this job mostly needs a person (Nah.)100%20302035: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2035: 10.0% of scenarios: AI could do a little of this job (A little.)10%20352040: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2040: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%20402045: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2045: 10.0% of scenarios: AI could largely do this job (Largely.)10%20452050: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2050: 10.0% of scenarios: AI could largely do this job (Largely.)10%20502055: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2055: 10.0% of scenarios: AI could largely do this job (Largely.)10%20552060: 90.0% of scenarios: this job mostly needs a person (Nah.)90%2060: 10.0% of scenarios: AI could largely do this job (Largely.)10%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%0.0%100.0%
20300.0%0.0%0.0%0.0%100.0%
20350.0%0.0%0.0%10.0%90.0%
20400.0%10.0%0.0%0.0%90.0%
204510.0%0.0%0.0%0.0%90.0%
205010.0%0.0%0.0%0.0%90.0%
205510.0%0.0%0.0%0.0%90.0%
206010.0%0.0%0.0%0.0%90.0%

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 3.3 out of 5 for consequence and decisions 3.8 out of 5 for impact; someone has to answer for them.
Physical work100% of the task time is physical; robots have been shown on 77% of that time.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
RegulationWorkers rate responsibility for others' health and safety 3.5 out of 5; the sector has its own rules on who may do the work.
Clients want a personFace-to-face contact is rated 4.8 and physical closeness 3.4 out of 5; caring for or serving people is 2.6 out of 5 in importance.
LicensingUsual entry requirement (BLS): no formal educational credential, then short-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (25 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$0–$250
A person’s wage for the same hours
$360–$750

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.

100%
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 100%AI helps 0%AI does it 0%
Writing · 0% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 0% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 6.4% 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 · 0% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 93.6% 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 100%AI helps 0%AI does it 0%
How exposed is it?

Still needs a human: 88/100↑ 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: 100% needs a human, 0% AI helps, 0% AI does it. Still needs a human: 88/100 ↑ safer. Will AI replace them? Nah.

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: 88/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI and robotics may automate some roofing tasks like inspection, measurement, and material handling, but human helper roofers will still be needed for complex, physical, on-site work.

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

Roofing requires physical dexterity, adaptability to unpredictable conditions, and hands-on labor in varied environments that current AI and robotics cannot replicate at scale within a decade.

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

While AI-driven robotics and drones will increasingly assist with inspections and heavy material handling, the complex physical agility and unpredictable environments of roofing will still require human labor over the next decade.

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

AI will automate some helper tasks like measuring, estimating, documentation, and material handling, but humans will likely still be needed for most physical roofing work over the next decade.

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 Helpers–Roofers? Nah. Still needs a human: 88/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/helpers-roofers/ (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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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.