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Will AI replace stonemasons?

Nah.

Cutting, fitting, and setting stone on site is hands-on judgment work that software can only support from the edges. This job scores 88 out of 100 on (higher is safer). Today 100% of the work still needs a person.

Updated 3 October 2026 47-2022 5312 2026-Q4
Construction and ExtractionStonemasons47-2022 · 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 stone work stays with people

The question behind “will AI replace stonemasons” is really two questions: can software do the thinking parts, and can a machine do the physical parts on a real site? Software has made progress on the first. The second is where stonemasonry sits. Shaping, trimming, and facing stone before it is set depends on reading the material in front of you: the grain, a hidden flaw, how a block sits once it takes weight.

Setting stone or marble to a layout is also judgment work. Two blocks from the same quarry are never identical. The mason adjusts the bed, the joint, and the shim by feel, then checks the line again. Mixing and spreading mortar, then cleaning the excess before it sets, runs on timing that changes with the weather and the stone.

Restoration work pushes this further. Matching a replacement to weathered stone, cutting back a failed joint, and repointing an old wall all require decisions made at arm’s length from the wall. Our task split for this job reflects that: almost everything a stonemason does happens in a body, on a scaffold or a floor, with one-off conditions. That is the plain reason the score lands where the hero shows it. You can read how the headline figure is built in our scoring methodology.

What software does, what it assists, and what stays manual

Start with the group AI can handle alone. 0% of task time sits there. No core stonemason task has moved into that group in our task list. The closest machines come is in the shop, where CNC saws and wire cutters rough out blocks from a digital file, but that output still arrives on site as raw material for a person to fit.

Next, the assisted group: 0% of task time. The support is mostly around the work rather than inside it. Laying out a wall pattern or a foundation line can start from a model or a 3D scan of an existing structure. Estimating quantities for a job, logging progress photos, and writing up a condition report for a heritage client are all faster with software than with a notepad.

Then the manual group: 100% of task time. Cutting and dressing stone to fit a gap that was measured wrong, and setting each piece plumb and level in fresh mortar, both stay with the mason. So does removing and replacing failed sections of a monument or facade without damaging what is still sound. For how we judge the share a machine can cover, see how coverage is measured.

What the evidence shows

There is no direct head-to-head test of an AI system against a working stonemason. The parity grade reflects that: D on our A to D scale, where D means not measured. We publish no parity number for this job, because we have none worth publishing.

What would settle it is specific: a trial where a robot sets and points a stone wall on an uncontrolled site, against a qualified mason, judged on joint quality, tolerance, and time, with the setup and reprogramming hours counted. Until something like that exists, claims about stone-carving robots replacing carvers are forecasts, not results. Our grading rules are set out in how quality parity is graded.

The labor market numbers are firmer. The Bureau of Labor Statistics counted about 7,820 stonemasons in the United States with median pay of $57,390 a year, and projects employment to fall 5.4% between 2025 and 2035 (BLS, 2025). That decline is driven by construction demand and material choices, not by software doing the work.

When the picture could change

Most likely after 2048 (8 in 10 of our scenarios). What the range measures, and how we build it, is explained in how the replacement year is estimated.

Two things could pull that window earlier. One is mobile robotics: all of the physical work in this job falls in the mobile robot tier, so a machine that can move over rough ground, climb a scaffold, and manipulate heavy irregular objects would matter more here than any language model. The other is prefabrication, where more stone is cut, fitted, and dry-laid in a factory and the site job shrinks to assembly.

Two things hold it back. Hardware cost and uptime are the first: a mobile manipulator has to be bought, transported, powered, and maintained before it saves anyone an hour, and small masonry outfits buy tools, not fleets. Site variation is the second. Old walls move, blocks arrive chipped, and access changes week to week. Those conditions break the repeatability that robots need.

Good to know: machine cutting has been part of this trade for decades, and it changed which tasks masons spend time on rather than removing the trade.

How to stay needed in this trade

Lean into the work that sits in the manual group. First, restoration and repointing on historic stone, where matching and conserving beats cutting new. Second, complex setting on curves, arches, and irregular facades, where a layout has to be solved at the wall. Third, assessment and repair of failed stonework, which starts with diagnosing why it failed.

Two skills raise your floor. One is reading and checking digital files and scans, so you can work from a CNC shop’s output and catch its errors before the stone is cut. The other is client-facing estimating and specification, which keeps you in the conversation where the money is decided.

Nearby trades worth comparing are brickmasons and blockmasons, tile and stone setters, and stone cutters and carvers in manufacturing, which is the shop-based side of the same material. You can put any two of them side by side on our job comparison tool, see the rest of the trade on the construction trades family page, or look at the wider construction sector. For context on where hands-on work sits overall, our list of the jobs that most need people is a useful next stop.

Frequently asked questions

Can robots carve stone instead of a person?

Machines already cut and rough-shape stone. CNC saws, wire cutters, and milling heads work from a digital file in a shop, and they are fast and repeatable. What they do not do is judge a flaw in the block, adjust a joint at the wall, or finish a weathered match on a historic facade. The task list above shows which parts of the job still sit with people.

Is stonemasonry still a good career?

It is a skilled trade with steady pay and a small workforce. The Bureau of Labor Statistics counted about 7,820 stonemasons in the United States with median pay of $57,390 a year, and projects a 5.4% decline in employment between 2025 and 2035 (BLS, 2025). That projection reflects construction demand and material choices rather than software taking over the work.

Will AI replace bricklayers too?

Bricklaying has had more automation attention than stone, because bricks are uniform and courses repeat. Even there, machines have mostly handled straight runs while people do corners, openings, cleanup, and anything unusual. Stone is less uniform, so the same approach transfers poorly. You can open the brickmasons and blockmasons page from the links above and compare the two task splits directly.

What jobs will be gone by 2030 because of AI?

Whole jobs rarely disappear on a schedule. What changes first is the task mix inside a job and the number of entry-level openings. Routine desk work is most exposed; physical, variable, on-site work is least. Rather than a list of doomed titles, look up any occupation in our rankings and read its task split, evidence grade, and estimated range.

What should a stonemason apprentice learn now?

Learn the hand skills first: dressing stone, setting to a line, mixing and working mortar, and pointing cleanly. Then add the parts machines cannot close out, like historic repair and diagnosing failures. On top of that, get comfortable reading digital drawings, scans, and CNC output, and practice estimating and talking clients through a specification.

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.

Stonemasons, O*NET-SOC 47-2022. 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%
Set vertical and horizontal alignment of structures, using plumb bob, gauge line, and level.Needs a human
Lay out wall patterns or foundations, using straight edge, rule, or staked lines.Needs a human
Set stone or marble in place, according to layout or pattern.Needs a human
Remove wedges, fill joints between stones, finish joints between stones, using a trowel, and smooth the mortar to an attractive finish, using a tuck pointer.Needs a human
Clean excess mortar or grout from surface of marble, stone, or monument, using sponge, brush, water, or acid.Needs a human
Shape, trim, face and cut marble or stone preparatory to setting, using power saws, cutting equipment, and hand tools.Needs a human
Mix mortar or grout and pour or spread mortar or grout on marble slabs, stone, or foundation.Needs a human
Construct and install prefabricated masonry units.Needs a human
Smooth, polish, and bevel surfaces, using hand tools and power tools.Needs a human
Lay brick to build shells of chimneys and smokestacks or to line or reline industrial furnaces, kilns, boilers and similar installations.Needs a human
Replace broken or missing masonry units in walls or floors.Needs a human
Remove sections of monument from truck bed, and guide stone onto foundation, using skids, hoist, or truck crane.Needs a human
Drill holes in marble or ornamental stone and anchor brackets in holes.Needs a human
Dig trench for foundation of monument, using pick and shovel.Needs a human
Repair cracked or chipped areas of stone or marble, using blowtorch and mastic, and remove rough or defective spots from concrete, using power grinder or chisel and hammer.Needs a human
Position mold along guidelines of wall, press mold in place, and remove mold and paper from wall.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 3.7 out of 5 for consequence and decisions 4.6 out of 5 for impact; someone has to answer for them.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then apprenticeship.
RegulationWorkers rate responsibility for others' health and safety 4.4 out of 5; the sector has its own rules on who may do the work.
Clients want a personFace-to-face contact is rated 4.5 and physical closeness 4.1 out of 5; caring for or serving people is 2.8 out of 5 in importance.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Physical work100% of the task time is physical; robots have been shown on 87% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (8 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$0–$80
A person’s wage for the same hours
$160–$340

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
Mobile robots
the kind of robot the physical work would need
Commercial in warehouses, hospitals and some outdoor sites; hands are still limited.

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 · 0% 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 · 100% 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 cutting, planning, and repetitive tasks, but skilled stonemasons will still be needed for judgment, craft, repair, and complex on-site work.

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

Stonemasonry requires physical dexterity, on-site adaptability, and craftsmanship that current AI and robotics cannot replicate affordably or effectively within a decade.

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

While AI-driven robotics and CNC machines will increasingly automate the cutting and shaping of stone, human stonemasons will still be required for intricate artistic carving, historic restoration, and on-site physical installation.

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

AI will automate some cutting, measuring, and repetitive placement, but skilled stonemasons will remain needed for installation, restoration, bespoke fitting, and on-site judgment.

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 Stonemasons? Nah. Still needs a human: 88/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/stonemasons/ (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.