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Will AI replace bridge and lock tenders?

Nah.

Most of the shift is watching real traffic and moving heavy machinery on site, which AI can support but not sign off on. This job scores 80 out of 100 on (higher is safer). Today people do 19% of the work with AI’s help, and 81% still needs a person.

Updated 3 October 2026 53-6011 8239 2026-Q4
Transportation and Material MovingBridge and Lock Tenders53-6011 · 2026-Q4
0% AI does it19% AI helps81% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 81%AI helps 19%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 a bridge or lock still needs someone on shift

A bridge tender works where road traffic and boat traffic meet. The job is to watch the channel, answer a horn or a radio call, hold back cars and pedestrians, raise or swing the span, then put everything back. Lock tenders do the same balancing act with water: open the gates, fill or empty the chamber, and move vessels through in order. Will AI replace lock tenders doing that work? On the evidence we score, most of the task time still sits with a person on site.

The reason is not that the machinery is clever. It is that the decisions are local and physical. A cyclist ducks under a lowered gate. A barge drifts off line in wind. A hydraulic line leaks, or the span sticks in cold weather and has to be worked by hand. Someone has to see it, stop the movement, and be accountable for what happens next. Public agencies and port authorities put a named operator behind those calls.

That does not mean the work is frozen. Remote and semi-automated control already exists on some structures, and where it is installed one operator can watch several bridges or locks from a control room. That is task erosion rather than a job disappearing: fewer booths, fewer first jobs, more monitoring per person. Federal figures show about 3,040 people employed in this occupation in the United States, with median pay near $57,700 and a projected decline of 2.3% between 2025 and 2035 (BLS). Small occupations move on budgets and infrastructure programs as much as on technology.

What software takes, what it assists, and what stays with the operator

The paperwork side is where automation lands first. Traffic and vessel counts, shift logs, opening records and maintenance notes can be captured and filed by software instead of written up by hand. Our share of task time AI can take on its own is 0%.

Assistance is the bigger story. Camera feeds, vessel tracking, gate and span sensors, and scheduling tools tell the operator what is coming and flag a vehicle still sitting on the deck. The share of task time where AI supports a person rather than replacing them is 19%. The operator still presses the button and still watches the water.

The rest belongs to people: clearing and checking the span or the lock chamber in person, hand-operating machinery when power or hydraulics fail, and judging when a movement is safe with pedestrians, cars and boats all waiting. That share is 81%. Taken across every task, our coverage score for this job is 14 out of 100, and how coverage is measured explains what that figure counts.

What has actually been tested

Not much, and we say so. Our evidence grade here is D. A grade of D means there is no direct, published test of an AI system against qualified bridge or lock tenders on their own tasks, so we publish no parity number for this job. Exposure estimates that rank occupations by task mix are not the same thing as a head-to-head trial.

What would settle it is specific: a documented comparison at structures of similar type and traffic, running staffed operation against remote or automated control, and reporting opening delays, vessel and vehicle incidents, equipment faults, and the staffing actually needed per structure. Until something like that is published, the honest answer is that the hands-on share is high and the proof is thin. Our quality parity method sets out how grades move once evidence arrives, and the full scoring method covers the rest.

When the picture could change

Most likely after 2044 (8 in 10 of our scenarios). The replacement-year method explains what that window describes and how it is built.

Two things could pull it earlier. The first is capital spending: when an agency rebuilds a movable bridge or a lock, automated gates, interlocks and remote control are easiest to design in from the start. The second is consolidation of control rooms, which spreads one operator across several structures without changing the machinery at all.

Two things hold it back. Over half the task time is physical, and the robotics tier this work would need is mobile robots, which is a harder and costlier class than a fixed arm in a factory. And the cost comparison shown above cuts both ways: software is cheap, but retrofitting old spans, gates and safety interlocks is not, and public agencies carry the liability if a sensor misreads a clear deck.

What to do: if your structure is being rebuilt or tied into a remote control center, ask now which tasks move to the console and who keeps the on-site certification.

How to stay needed in this work

Lean into the parts of the shift that need a person present. Keep the on-site safety judgment sharp, including how you clear pedestrians and vehicles before a movement. Stay the one who can run the span or the lock by hand when automation or power drops out. And keep the inspection habit: noticing a worn cable, a slow gate or a leaking seal before it stops traffic.

Two skills travel well. One is control-room monitoring, including reading camera feeds, vessel tracking and alarm systems for more than one structure at a time. The other is basic maintenance and troubleshooting of hydraulics, motors and electrical interlocks, which keeps you useful whether the booth stays or the work moves to a console.

Nearby work is worth a look. Traffic Technicians sits in the same part of the transportation family and leans on similar signal and traffic judgment. On the water side, Motorboat Operators and Dredge Operators both reward hands-on vessel and equipment skill. You can also browse the other transportation workers family, see how employers in transportation and warehousing are scored, or put two titles side by side with the job comparison tool.

Our Still needs a human score for this job is 80 out of 100 (higher is safer). To see where that sits against everything else, open the full job rankings or the list of jobs least exposed to AI.

Frequently asked questions

What does a bridge and lock tender actually do?

They control movable bridges and waterway locks. That means watching for approaching vessels, answering horn or radio signals, stopping road traffic and pedestrians, raising or swinging the span, and opening lock gates to raise or lower water so boats can pass. The shift also includes logging traffic, inspecting machinery, and clearing debris or ice from gates and decks.

Are bridge tender jobs at risk from automation?

Automation changes the shape of the job more than it ends it. Remote control rooms let one operator cover several structures, so the risk shows up as fewer posts rather than no operators. The task split on this page shows how much of the work still needs someone on site, and how much software can assist with.

What jobs are hardest to replace by AI?

The hardest are jobs where most task time is physical, unpredictable and carries safety accountability: hands-on trades, skilled care, and infrastructure operations like this one. Office work built on text and data is far more exposed. Our rankings page sorts every occupation we score, so you can see which task mixes lean hardest on people.

What jobs will be gone by 2030 due to AI?

We do not expect whole occupations to vanish on that timetable. What the data supports is task erosion inside jobs and fewer entry-level openings, especially in routine writing, data entry, basic coding and first-line support. Each job page here publishes a dated window with a range rather than a single year, so you can judge the uncertainty yourself.

Do you need a license or training to be a lock or bridge tender?

Requirements are set by the agency or authority that owns the structure, not by a national license. Most hiring is on-the-job training, with safety certification, radio procedure and equipment-specific instruction. Marine traffic knowledge helps. Many operators come from maintenance, vessel or public works backgrounds, which also makes it easier to move between related transportation roles.

Is employment in this occupation growing?

No. Federal projections point to a small decline in employment for bridge and lock tenders between 2025 and 2035, around 2.3% (BLS), from a base of roughly 3,040 jobs. Because the occupation is small, openings depend heavily on infrastructure budgets, bridge rebuilds and retirements rather than on broad industry growth.

Each ridge is a slice of the job's task time.Needs a human 81%AI helps 19%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.

Bridge and Lock Tenders, O*NET-SOC 53-6011. 81% of the job’s task time still needs a human, so 81 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 . 81% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 81%AI helps 19%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 81%AI helps 19%AI does it 0%
Control machinery to open and close canal locks and dams, railroad or highway drawbridges, or horizontally or vertically adjustable bridges.Needs a human
Direct movements of vessels in locks or bridge areas, using signals, telecommunication equipment, or loudspeakers.Needs a human
Observe position and progress of vessels to ensure best use of lock spaces or bridge opening spaces.Needs a human
Record names, types, and destinations of vessels passing through bridge openings or locks, and numbers of trains or vehicles crossing bridges.AI helps
Observe approaching vessels to determine size and speed, and listen for whistle signals indicating desire to pass.Needs a human
Move levers to activate traffic signals, navigation lights, and alarms.Needs a human
Write and submit maintenance work requisitions.AI helps
Log data, such as water levels and weather conditions.AI helps
Prepare accident reports.AI helps
Perform maintenance duties, such as sweeping, painting, and yard work to keep facilities clean and in order.Needs a human
Turn valves to increase or decrease water levels in locks.Needs a human
Check that bridges are clear of vehicles and pedestrians prior to opening.Needs a human
Stop automobile and pedestrian traffic on bridges, and lower automobile gates prior to moving bridges.Needs a human
Raise drawbridges and observe passage of water traffic or lower drawbridges and raise automobile gates.Needs a human
Maintain and guard stations in bridges to check waterways for boat traffic.Needs a human
Clean and lubricate equipment, and make minor repairs and adjustments.Needs a human
Inspect canal and bridge equipment, and areas, such as roadbeds, for damage or defects, reporting problems to supervisors as necessary.Needs a human
Attach ropes or cable lines to bitts on lock decks or wharfs to secure vessels.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 2044

Most likely after 2044 (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
30%
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: this job mostly needs a person (Nah.)100%Today2030: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2030: 90.0% of scenarios: AI could do a little of this job (A little.)90%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 50.0% of scenarios: AI could do a little of this job (A little.)50%2035: 40.0% of scenarios: AI could partly do this job (Partly.)40%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 50.0% of scenarios: AI could partly do this job (Partly.)50%2040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 20.0% of scenarios: AI could partly do this job (Partly.)20%2045: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2045: 30.0% of scenarios: AI could largely do this job (Largely.)30%20452050: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2050: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2050: 60.0% of scenarios: AI could largely do this job (Largely.)60%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)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: this job mostly needs a person (Nah.)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%0.0%100.0%
20300.0%0.0%0.0%90.0%10.0%
20350.0%0.0%40.0%50.0%10.0%
20400.0%40.0%50.0%0.0%10.0%
204530.0%40.0%20.0%0.0%10.0%
205060.0%30.0%0.0%0.0%10.0%
205580.0%10.0%0.0%0.0%10.0%
206090.0%0.0%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.

LiabilityMistakes are rated 4.2 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 3.8 out of 5; the sector has its own rules on who may do the work.
Clients want a personFace-to-face contact is rated 3.9 and physical closeness 2.3 out of 5; caring for or serving people is 2.5 out of 5 in importance.
Physical work56% of the task time is physical; robots have been shown on 100% of that time.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, 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 (287 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$30–$2,870
A person’s wage for the same hours
$3,880–$10,400

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.

56%
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 81%AI helps 19%AI does it 0%
Writing · 12.8% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 5.8% 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 · 25.1% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 6.5% 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 · 49.7% 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 81%AI helps 19%AI does it 0%
How exposed is it?

Still needs a human: 80/100↑ 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: 81% needs a human, 19% AI helps, 0% AI does it. Still needs a human: 80/100 ↑ 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: 80/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI and automation may handle some monitoring and control tasks at locks, but human lock tenders will likely remain needed for safety, maintenance, emergencies, and local judgment.

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

Lock tending involves physical infrastructure operation, maintenance, and emergency judgment in variable conditions that remain far beyond the reach of AI within a 10-year horizon, especially given the slow pace of infrastructure automation and regulatory approval.

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

While AI and automation will increasingly handle the routine monitoring, scheduling, and remote operation of waterway locks, human personnel will still be required on-site to handle physical maintenance, emergencies, and complex navigational challenges.

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

AI and remote-control systems will reduce routine lock-tender positions, but humans will likely remain for safety oversight, emergencies, maintenance, and complex sites.

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 Bridge and Lock Tenders? Nah. Still needs a human: 80/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/bridge-and-lock-tenders/ (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.