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needsahuman.

Will AI replace compliance officers?

A little.

This job scores 63 out of 100 on (higher is safer). Today AI could do about 27% of the work by itself, people do 49% with AI’s help, and 24% still needs a person.

Updated 3 October 2026 13-1041 2482, 3319, 3581 2026-Q4
Business and Financial OperationsCompliance Officers13-1041 · 2026-Q4
27% AI does it49% AI helps24% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 24%AI helps 49%AI does it 27%

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.

Each ridge is a slice of the job's task time.Needs a human 24%AI helps 49%AI does it 27%
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.

Compliance Officers, O*NET-SOC 13-1041. 24% of the job’s task time still needs a human, so 24 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 . 24% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 24%AI helps 49%AI does it 27%
The job's task list: the parts AI can do are blacked out.Needs a human 24%AI helps 49%AI does it 27%
Warn violators of infractions or penalties.AI helps
Evaluate applications, records, or documents to gather information about eligibility or liability issues.AI does it
Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations.AI helps
Prepare reports of activities, evaluations, recommendations, or decisions.AI does it
Report law or regulation violations to appropriate boards or agencies.AI helps
Confer with or interview officials, technical or professional specialists, or applicants to obtain information or to clarify facts relevant to licensing decisions.AI helps
Issue licenses to individuals meeting standards.AI helps
Collect fees for licenses.AI helps
Administer oral, written, road, or flight tests to license applicants.Needs a human
Visit establishments to verify that valid licenses or permits are displayed and that licensing standards are being upheld.Needs a human
Score tests and observe equipment operation and control to rate ability of applicants.Needs a human
Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.AI does it
Identify compliance issues that require follow-up or investigation.AI helps
Keep informed regarding pending industry changes, trends, or best practices.AI does it
Provide assistance to internal or external auditors in compliance reviews.AI helps
Verify that all firm and regulatory policies and procedures have been documented, implemented, and communicated.AI does it

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: 2035–2046

Most likely between 2035 and 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?
A little.
By 2045
100%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% 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: AI could do a little of this job (A little.)100%Today2030: 100.0% of scenarios: AI could partly do this job (Partly.)100%20302035: 20.0% of scenarios: AI could partly do this job (Partly.)20%2035: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2035: 40.0% of scenarios: AI could largely do this job (Largely.)40%20352040: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2040: 80.0% of scenarios: AI could largely do this job (Largely.)80%20402045: 100.0% of scenarios: AI could largely do this job (Largely.)100%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%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%100.0%0.0%
20300.0%0.0%100.0%0.0%0.0%
203540.0%40.0%20.0%0.0%0.0%
204080.0%20.0%0.0%0.0%0.0%
2045100.0%0.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

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 3.8 out of 5; caring for or serving people is 2.7 out of 5 in importance.
LiabilityMistakes are rated 3.5 out of 5 for consequence and decisions 3.6 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.
LicensingUsual entry requirement (BLS): bachelor's degree, then moderate-term on-the-job training; 7 task statements mention a licence or certification.
RegulationWorkers rate responsibility for others' health and safety 2.3 out of 5; the sector has its own rules on who may do the work.
Physical work7% of the task time is physical; robots have been shown on 0% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (888 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$90–$8,880
A person’s wage for the same hours
$20,590–$57,100

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.

7%
of the task time is physical work
None needed
the kind of robot the physical work would need
Little of this job is physical, so robotics is not what holds AI back.

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 24%AI helps 49%AI does it 27%
Writing · 28.7% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 13.8% 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 · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 15.2% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 18.4% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 23.9% 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 24%AI helps 49%AI does it 27%
How exposed is it?

Still needs a human: 63/100↑ 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: 24% needs a human, 49% AI helps, 27% AI does it. Still needs a human: 63/100 ↑ safer. Will AI replace them? A little.

People are asking

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

In the US

10
Google searches a month, 12-month average to August 2026
Google searches a month, September 2025 to August 2026: from 10 to 10
1
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 1 to 1
0.02
Google searches a month for every 1,000 people in the job
185th of 197 among all jobs we have search data for

In the UK

10
Google searches a month, 12-month average to August 2026
0.13
Google searches a month for every 1,000 people in the job in the UK (estimated)
164th of 197 among jobs we have UK search data for

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: 63/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate much monitoring, reporting, and risk-analysis work, but human compliance officers will still be needed for judgment, accountability, ethics, and regulatory interpretation.

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

AI will automate much of the routine monitoring, reporting, and data analysis compliance officers currently do, but human judgment will still be needed for ambiguous ethical decisions, regulatory relationships, and accountability, so the role will transform rather than disappear entirely.

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

While AI will automate routine monitoring, data analysis, and regulatory reporting, human compliance officers will still be essential for strategic decision-making, ethical judgment, and complex regulatory negotiations.

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

AI will automate substantial routine monitoring, document review, and reporting, but human judgment, accountability, and regulator-facing decisions will likely keep compliance officers essential.

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 Compliance Officers? A little. Still needs a human: 63/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/compliance-officers/ (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.