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Will AI replace sailors and marine oilers?

Nah.

Most of the work is mooring lines, watchkeeping and engine-room upkeep on a moving deck, which software can only assist with. This job scores 86 out of 100 on (higher is safer). Today people do 9% of the work with AI’s help, and 91% still needs a person.

Updated 3 October 2026 53-5011 8232 2026-Q4
Transportation and Material MovingSailors and Marine Oilers53-5011 · 2026-Q4
0% AI does it9% AI helps91% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 91%AI helps 9%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 deck work and the engine room still need hands

Ask will AI replace sailors and the honest answer starts with the deck itself. A sailor’s shift is physical and unscripted. You stand lookout, steer on the mate’s orders, heave mooring lines and make them fast, chip rust, and paint steel. Marine oilers go below to lubricate bearings, top up lube oil, wipe down machinery and read gauges in a space that rolls and vibrates. None of that is paperwork.

Software can already read a sensor faster than a person. It cannot splice a line in a crosswind, free a jammed winch, or climb into a hot machinery space to find where oil is weeping from a joint. It cannot pull a lifeboat’s painter during a drill or feel a bearing running rough through a glove. Those jobs need grip, balance and timing on a surface that moves.

So the realistic story here is task erosion, not a job disappearing. Logs, fuel tracking and route planning drift toward software. The hands-on work, the drills and the emergencies stay with the crew. That split is what the scores on this page measure, and the method behind them is published in full.

What AI does, what it helps with, and what stays with the crew

The slice of task time our model puts in the “AI does it” group is small: 0%. That is the recordkeeping end of the work. Watch and machinery logs can be filled from sensor feeds, and consumption figures for fuel, water and lube oil can be tallied without anyone writing them down.

The assisted group covers 9% of task time. Bridge software flags a closing contact before a lookout calls it. Condition-monitoring systems warn that a pump bearing is heating up, so the oiler goes to that machine first instead of walking the whole round blind. In both cases the system narrows the search. A person still confirms it and acts.

Everything else sits with people: 91% of task time. Mooring and line handling, steering in traffic and confined water, securing cargo and lashings, firefighting and boat drills, chipping, painting and cleaning. Coverage, our answer to can AI do it, lands at 5 for this job, measured as the share of task time AI can handle today.

What the evidence actually shows

There is no published head-to-head test of AI against sailors or marine oilers on their own tasks. Our evidence grade for quality parity reflects that: D. A grade of D means not measured, so we publish no parity number for this job and no claim that software matches a rated seafarer. How that grade is set is explained on the quality parity page.

What would settle it is specific: a trial of collision-avoidance and watchkeeping systems against trained lookouts in real traffic and poor visibility, and a maintenance trial where condition-monitoring tools are scored against oilers on fault detection and repair, not just alerts.

Labor data gives the other half of the picture. BLS counts about 31,670 sailors and marine oilers in the United States, with median pay of $51,520 and projected employment change of 3.2% for 2025 to 2035 (BLS, 2025). That is modest growth, not contraction. The robotics side is blunter: most of this job’s task time is physical, and the hardware tier it would take to do it is a dexterous humanoid, which is not a shipping product you can buy and crew with today. Our guide to humanoid robots and physical jobs covers where that technology actually stands.

When this could change

Most likely after 2044 (8 in 10 of our scenarios). What that window counts and how it is built is set out on the replacement year page.

Two things could pull it earlier. The first is crewless and reduced-crew vessel rules: if flag states and class societies approve smaller manning levels on short sea routes, entry-level deck billets thin out first. The second is cheap remote operation. Running software and a shore control room costs a fraction of what it costs to feed, berth, rotate and insure a crew member, and that gap is what pushes owners to test it.

Two things hold it back. Salvage, firefighting, line handling and emergency response are still manual, and a ship at sea has no one else to call. And ports, tugs, pilots and mooring gangs are built around a crew being aboard; changing that means changing the whole chain, not one vessel.

Good to know: the Still needs a human score for this job is 86 out of 100 (higher is safer), and you can see where that sits among jobs that mostly need a person.

How to stay needed at sea

Lean into the tasks software cannot touch. Mooring and line work under load, where judgment about tension and footing prevents injuries. Emergency response: fire parties, boat and abandon-ship drills, damage control. And hands-on machinery upkeep, where you find the leak, trace the cause and fix it rather than file an alert.

Two skills raise your value fast. One is certification depth, because tickets and endorsements decide who can hold a watch and who can be promoted. The other is comfort with monitoring and planning systems, so you can read what the condition-monitoring and bridge tools are telling you and say when they are wrong.

If you want to move up or sideways, the closest work is in the same family. Compare your own job with Captains, Mates, and Pilots of Water Vessels, with Ship Engineers for the engine-room route, or with Motorboat Operators for smaller-vessel work. The rest of the water transportation workers family and the wider transportation and warehousing sector show how the same pressures land on neighboring roles. To see two jobs side by side on the same three questions, use the job comparison tool.

Frequently asked questions

Will AI take over the merchant navy?

Not as a single switch. Autonomous and reduced-crew trials exist, mostly on short, predictable routes with shore control rooms. Ocean voyages still involve mooring, cargo lashing, firefighting and machinery repair that nobody has automated end to end. The likelier change is fewer people per ship over time, with the remaining crew holding more certifications. The task list above shows which parts of the work software can touch today.

What does a marine oiler actually do?

An oiler keeps the engine room running. That means lubricating bearings and moving parts, checking lube-oil and cooling levels, reading gauges on rounds, cleaning machinery and bilges, and helping engineers with repairs and overhauls. Much of it happens in heat, noise and motion. It is a hands-on entry route into the engine department, and it builds toward engineer licensing with sea time and training.

Can AI navigate a ship and avoid collisions on its own?

Collision-avoidance software can track targets, calculate closest points of approach and recommend course changes. In open water with clear data, that works well. Crowded harbors, fishing fleets, bad radar returns and other vessels behaving unpredictably are harder. Watchkeeping also includes judgment calls under the collision regulations. Today these systems support the bridge team rather than replace the watch.

Are autonomous ships going to cut entry-level crew jobs?

That is the pressure point to watch. When manning levels fall, the junior deck and engine positions usually go first, because their routine duties are the easiest to automate or move ashore. Fewer entry billets means a narrower path to higher tickets. Checking what remote-operation rules your flag state and employer are adopting is more useful than guessing a date.

Which jobs will not be replaced by AI?

The work that holds up best is physical, unpredictable and done where no one else can step in: hands-on repair, emergency response, skilled trades, direct care and complex on-site coordination. Deck and engine-room work fits that pattern. Our rankings list every scored occupation on the same three questions, so you can see where a job sits rather than rely on a general rule.

Is a career at sea still worth starting?

BLS counts about 31,670 sailors and marine oilers in the United States, with median pay of $51,520 and projected employment change of 3.2% for 2025 to 2035 (BLS, 2025). That is steady, not shrinking. The strongest move is to stack certifications early, since licensed and endorsed roles are the ones automation reaches last and employers compete hardest for.

Each ridge is a slice of the job's task time.Needs a human 91%AI helps 9%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.

Sailors and Marine Oilers, O*NET-SOC 53-5011. 91% of the job’s task time still needs a human, so 91 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 . 91% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 91%AI helps 9%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 91%AI helps 9%AI does it 0%
Maintain government-issued certifications, as required.AI helps
Handle lines to moor vessels to wharfs, to tie up vessels to other vessels, or to rig towing lines.Needs a human
Stand watch in ships' bows or bridge wings to look for obstructions in a ship's path or to locate navigational aids, such as buoys or lighthouses.Needs a human
Splice and repair ropes, wire cables, or cordage, using marlinespikes, wire cutters, twine, and hand tools.Needs a human
Operate, maintain, or repair ship equipment, such as winches, cranes, derricks, or weapons system.Needs a human
Sweep, mop, and wash down decks to remove oil, dirt, and debris, using brooms, mops, brushes, and hoses.Needs a human
Lubricate machinery, equipment, or engine parts, such as gears, shafts, or bearings.Needs a human
Chip and clean rust spots on decks, superstructures, or sides of ships, using wire brushes and hand or air chipping machines.Needs a human
Paint or varnish decks, superstructures, lifeboats, or sides of ships.Needs a human
Provide engineers with assistance in repairing or adjusting machinery.Needs a human
Lower and man lifeboats when emergencies occur.Needs a human
Steer ships under the direction of commanders or navigating officers or direct helmsmen to steer, following designated courses.Needs a human
Tie barges together into tow units for tugboats to handle, inspecting barges periodically during voyages and disconnecting them when destinations are reached.Needs a human
Overhaul lifeboats or lifeboat gear and lower or raise lifeboats with winches or falls.Needs a human
Examine machinery to verify specified pressures or lubricant flows.Needs a human
Attach hoses and operate pumps to transfer substances to and from liquid cargo tanks.Needs a human
Read pressure and temperature gauges or displays and record data in engineering logs.Needs a human
Record data in ships' logs, such as weather conditions or distances traveled.AI helps
Break out, rig, and stow cargo-handling gear, stationary rigging, or running gear.Needs a human
Load or unload materials, vehicles, or passengers from vessels.Needs a human
Maintain a ship's engines under the direction of the ship's engineering officers.Needs a human
Measure depth of water in shallow or unfamiliar waters, using leadlines, and telephone or shout depth information to vessel bridges.Needs a human
Give directions to crew members engaged in cleaning wheelhouses or quarterdecks.Needs a human
Clean and polish wood trim, brass, or other metal parts.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
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: 30.0% of scenarios: AI could partly do this job (Partly.)30%2040: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2040: 10.0% of scenarios: AI could largely do this job (Largely.)10%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%
204010.0%20.0%30.0%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.

LiabilityMistakes are rated 3.8 out of 5 for consequence and decisions 3.8 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 4.0 out of 5; the sector has its own rules on who may do the work.
Physical work82% of the task time is physical; robots have been shown on 68% of that time.
Clients want a personFace-to-face contact is rated 4.5 and physical closeness 3.9 out of 5; caring for or serving people is 2.9 out of 5 in importance.
LicensingUsual entry requirement (BLS): no formal educational credential, then moderate-term on-the-job training; 1 task statement mentions a licence or certification.

What would it cost to hand the work to AI?

The share of the year AI could handle (102 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$10–$1,020
A person’s wage for the same hours
$1,690–$4,100

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.

82%
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 91%AI helps 9%AI does it 0%
Writing · 5.7% 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 · 5.8% 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 · 3.3% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 81.9% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 3.3% 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 91%AI helps 9%AI does it 0%
How exposed is it?

Still needs a human: 86/100↑ 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: 91% needs a human, 9% AI helps, 0% AI does it. Still needs a human: 86/100 ↑ 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: 86/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI and automation will take over some navigation, monitoring, and operational tasks, but human sailors will still be needed for safety, maintenance, emergencies, regulations, and complex judgment.

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

While automation and remote-operated systems will increasingly assist with navigation and routine tasks, fully replacing sailors within a decade is unlikely due to the complexity of maritime operations, regulatory hurdles, and the need for human judgment in emergencies.

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

While autonomous technology will significantly reduce crew sizes and handle routine navigation, human sailors will still be necessary for complex maintenance, cargo operations, and unpredictable emergency situations.

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

AI will automate some routine sailor tasks and may reduce crew sizes, but human sailors will likely remain essential for safety, judgment, and hands-on emergencies 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 Sailors and Marine Oilers? Nah. Still needs a human: 86/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/sailors-and-marine-oilers/ (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.