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Will AI replace locksmiths and safe repairers?

Nah.

Most of the work is hands-on entry, installation and safe repair at a customer's door, which AI can only support. This job scores 85 out of 100 on (higher is safer). Today people do 8% of the work with AI’s help, and 92% still needs a person.

Updated 3 October 2026 49-9094 5223 2026-Q4
Installation, Maintenance, and RepairLocksmiths and Safe Repairers49-9094 · 2026-Q4
0% AI does it8% AI helps92% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 92%AI helps 8%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 lock work stays with people

A locksmith’s day is spent at a door, a safe, or a car. Someone is locked out of a house at 11 p.m. The key snapped in a mortise lock. A business owner needs a safe opened without destroying the contents. That work is physical, improvised and done once, in one place, on hardware that may be 40 years old and poorly documented.

Two tasks make the point. Opening locks and safes when keys are lost or combinations are forgotten depends on feel: reading a plug, listening to a wheel pack, deciding when to drill and where. Cutting and duplicating keys, then fitting and adjusting the cylinder, is the same story in miniature. Software can describe both. It cannot hold the pick, mount the rig, or take responsibility for a hole in someone’s safe door.

Our data also marks this work as heavily physical. Roughly 92% of the task time is hands-on, and the robot class that would be needed to do it is the hardest one we track: a dexterous humanoid. That is why the answer to "will AI replace locksmiths" looks different from the answer for desk-based trades support roles.

What AI does, what it helps with, and what people keep

Start with the part AI can run on its own. Share of task time in that group: 0%. It covers the office end of a locksmith business rather than the van: writing up service records and invoices, drafting quotes, and answering routine inquiries about pricing and coverage areas. None of it touches a cylinder.

Next, the assisted work. Share of task time where AI helps a person rather than replacing them: 8%. Diagnosis and parts lookup fit here. Identifying an unfamiliar lock or safe model, finding the right blank, pulling up a code series or a wiring diagram for an electronic access control board, and scheduling a route across a city all go faster with good software. The judgment call at the door is still yours. Our coverage method explains how we split task time this way.

Everything else needs a person on site: 92% of task time. That is the bulk of the trade. Installing and repairing locks, safes and vault doors. Non-destructive entry and lock changes after a break-in or an eviction. Programming automotive transponder keys and fobs to a specific vehicle. Repairing a damaged safe body or relocking device. Work that mixes tools, trust and liability does not move to software quietly.

What the evidence actually shows

Nothing has tested AI head to head against a working locksmith. Our evidence grade for "is it better than a person?" is D, and that grade means not measured. So we publish no parity number for this job, and you should treat anyone who gives you one with suspicion.

What would settle it is specific: a benchmark where a system, with whatever hardware it likes, opens a set of common residential and commercial locks without damage; a trial of automotive key programming across several makes and model years; and a timed comparison on safe deposit and vault servicing against a qualified technician. Until something like that is published and dated, the honest position is an open question. How we grade evidence is set out in our methodology.

The labor market numbers point elsewhere. The BLS counts about 15,040 locksmiths and safe repairers in the US and a median wage of $51,320 (BLS, 2025). It also projects employment falling 11.7% between 2025 and 2035 (BLS, 2025). That decline is about product change, not chatbots: keyless entry, dealer-controlled car keys, cheaper replace-don’t-repair hardware, and fewer people learning the trade. Demand for emergency and commercial work holds up better than key duplication.

When the picture could change

Most likely after 2046 (8 in 10 of our scenarios). Read that window against our replacement-year method rather than as a prediction about any one shop.

Two things could pull it closer. General-purpose robot arms getting cheap and reliable enough to mount at a door would matter most, since the physical share of this job is where the difficulty sits. So would manufacturers shifting to fully electronic, remotely managed locks that are reset from a dashboard instead of serviced by hand.

Two things push it out. The hardware bill is the first: a dexterous humanoid capable of non-destructive entry does not exist as a product you can hire. The second is accountability. Opening someone’s safe or rekeying a building after a dispute involves identity checks, licensing in many states, and insurance. Our cost comparison for this job runs $10 to $1,120 on the AI side against $1,920 to $4,290 for the human one, and the cheap end buys software for the office, not an engineer at a door. If you want to see how different trades land, put two of them side by side on our compare tool.

How to stay needed in this trade

What to do: move toward the jobs that pay for judgment and liability, not the ones that pay for a key blank.

Three tasks to lean into. First, safe and vault work: opening, repair, relocker replacement and moves. Few people do it well, and the call-out rate reflects that. Second, electronic access control: fitting, wiring and servicing card readers, maglocks and master key systems for commercial buildings, including the service contracts that follow. Third, automotive work: transponder and proximity key programming, all-keys-lost jobs, and ignition repair across makes.

Two skills carry the most weight. One is systems work with low-voltage electronics and networked locks, because the growth in this field is in devices that have both a keyway and an IP address. The other is customer handling under stress, including identity verification and clear records, since that is what insurers and landlords are buying.

Close trades worth a look: Mechanical Door Repairers, Security and Fire Alarm Systems Installers, and Watch and Clock Repairers. The wider group sits on our other installation, maintenance and repair family page, and the business context is covered under the other services sector. For hands-on jobs generally, our list of jobs that mostly need a person and the guide to AI and trades careers are the next useful reads.

Frequently asked questions

Are locksmiths in demand?

Emergency and commercial work is steady; key duplication is not. The BLS counts about 15,040 locksmiths and safe repairers in the US, with median pay of $51,320, and projects employment falling 11.7% from 2025 to 2035 (BLS, 2025). Demand concentrates in access control, automotive keys and safe work, which is where new entrants tend to find openings.

Is locksmithing a dying trade?

It is shrinking rather than disappearing. Cheaper hardware, keyless entry and dealer-controlled car keys have cut some traditional work, and BLS projections for 2025 to 2035 show a decline. At the same time, fewer people are training, so experienced locksmiths in safe repair and electronic access control often report more work than they can take. The specialty you pick matters more than the trade label.

Can AI pick a lock?

Not on its own. Picking needs a physical tool in a keyway, constant tension and feedback by feel. Software can tell you which picks suit a lock, how a wafer system differs from a pin tumbler, or where to drill a particular safe. Doing it still requires hands, and no published test has pitted a machine against a locksmith on real doors.

Do smart locks mean fewer locksmiths?

They change the work more than they remove it. Smart locks still need mounting, wiring, strike alignment, battery and firmware servicing, and recovery when the electronics fail or a code is lost. Commercial installs add access control panels and master key planning. Locksmiths who only cut keys feel the squeeze; those who service networked hardware usually pick up new contracts.

What jobs will be gone by 2030?

Very few whole jobs vanish on a date. What usually happens is task erosion: parts of a role shift to software, teams hire fewer juniors, and the job description changes. That pattern shows up most in text-heavy and screen-based work, and least in physical, on-site trades. Our rankings show where each occupation sits, with the evidence grade behind it.

How do you become a locksmith?

Most people start through an apprenticeship with an established shop or a mobile operator, often alongside a short course covering pin tumbler systems, key cutting, master keying and safe basics. Several states require licensing and a background check, so check your state’s rules first. Automotive and safe specialties are usually learned afterward, through manufacturer training and time on the van.

Each ridge is a slice of the job's task time.Needs a human 92%AI helps 8%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.

Locksmiths and Safe Repairers, O*NET-SOC 49-9094. 92% of the job’s task time still needs a human, so 92 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 . 92% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 92%AI helps 8%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 92%AI helps 8%AI does it 0%
Cut new or duplicate keys, using impressions or code key machines.Needs a human
Insert new or repaired tumblers into locks to change combinations.Needs a human
Move picklocks in cylinders to open door locks without keys.Needs a human
Cut new or duplicate keys, using key cutting machines.Needs a human
Open safe locks by drilling.Needs a human
Set up and maintain master key systems.Needs a human
Install door hardware, such as locks and closers.Needs a human
Keep records of company locks and keys.AI helps
Disassemble mechanical or electrical locking devices, and repair or replace worn tumblers, springs, and other parts, using hand tools.Needs a human
Repair and adjust safes, vault doors, and vault components, using hand tools, lathes, drill presses, and welding and acetylene cutting apparatus.Needs a human
Install alarm and electronic access systems.Needs a human
Install safes, vault doors, and deposit boxes according to blueprints, using equipment such as power drills, taps, dies, truck cranes, and dollies.Needs a human
Unlock cars and other vehicles.Needs a human
Remove interior and exterior finishes on safes and vaults, and spray on new finishes.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 2046

Most likely after 2046 (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
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
80%
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: this job mostly needs a person (Nah.)100%Today2030: 80.0% of scenarios: this job mostly needs a person (Nah.)80%2030: 20.0% of scenarios: AI could do a little of this job (A little.)20%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 70.0% of scenarios: AI could do a little of this job (A little.)70%2035: 20.0% of scenarios: AI could partly do this job (Partly.)20%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 30.0% of scenarios: AI could do a little of this job (A little.)30%2040: 40.0% of scenarios: AI could partly do this job (Partly.)40%2040: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 40.0% of scenarios: AI could partly do this job (Partly.)40%2045: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2045: 20.0% of scenarios: AI could largely do this job (Largely.)20%20452050: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2050: 10.0% of scenarios: AI could partly do this job (Partly.)10%2050: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2050: 40.0% of scenarios: AI could largely do this job (Largely.)40%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2055: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2055: 60.0% of scenarios: AI could largely do this job (Largely.)60%20552060: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2060: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2060: 80.0% of scenarios: AI could largely do this job (Largely.)80%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%20.0%80.0%
20350.0%0.0%20.0%70.0%10.0%
20400.0%20.0%40.0%30.0%10.0%
204520.0%30.0%40.0%0.0%10.0%
205040.0%40.0%10.0%0.0%10.0%
205560.0%30.0%0.0%0.0%10.0%
206080.0%10.0%0.0%0.0%10.0%

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.

Clients want a personFace-to-face contact is rated 4.5 and physical closeness 3.6 out of 5; caring for or serving people is 2.9 out of 5 in importance.
Physical work92% of the task time is physical; robots have been shown on 51% of that time.
LiabilityMistakes are rated 2.9 out of 5 for consequence and decisions 3.9 out of 5 for impact; someone has to answer for them.
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 3.6 out of 5.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then long-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (112 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$10–$1,120
A person’s wage for the same hours
$1,920–$4,290

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.

92%
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 92%AI helps 8%AI does it 0%
Writing · 8% 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 · 6% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 86% 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 92%AI helps 8%AI does it 0%
How exposed is it?

Still needs a human: 85/100↑ 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: 92% needs a human, 8% AI helps, 0% AI does it. Still needs a human: 85/100 ↑ safer. Will AI replace them? Nah.

People are asking

How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.

In the US

Under 10
Google searches a month, 12-month average to
6
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 1 to 6

In the UK

Under 10
Google searches a month, 12-month average to
1
estimated questions to AI assistants in September 2026

Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.

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: 85/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI may automate some diagnostics, scheduling, and smart-lock support, but hands-on lock installation, repairs, emergencies, and physical security work will still need human locksmiths.

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

Locksmithing requires physical dexterity, hands-on manipulation of locks and tools, and on-site judgment that AI lacks the embodiment to replicate within this timeframe.

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

While AI will advance digital security and smart locks, it cannot replicate the complex manual dexterity, emergency physical problem-solving, and on-site mechanical labor required of locksmiths.

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

AI will automate routine locksmith tasks, but physical installation, emergency lockouts, repairs, and complex security work will still require human locksmiths.

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 Locksmiths and Safe Repairers? Nah. Still needs a human: 85/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/locksmiths-and-safe-repairers/ (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.