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needsahuman

Will AI replace bill and account collectors?

A little.

This job scores 60 out of 100 on (higher is safer). Today AI could do about 24% of the work by itself, and people do 76% with AI’s help.

Updated 3 October 2026O*NET-SOC 43-3011UK SOC 7122Release 2026-Q4
Office and Administrative SupportBill and Account Collectors43-3011 · 2026-Q4
24% AI does it76% AI helps0% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 0%AI helps 76%AI does it 24%
Each ridge is a slice of the job's task time.Needs a human 0%AI helps 76%AI does it 24%
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.

Bill and Account Collectors, O*NET-SOC 43-3011. 0% of the job’s task time still needs a human, so 0 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 O*NET, and where AI stands on each today. 0% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 0%AI helps 76%AI does it 24%
The job's task list: the parts AI can do are blacked out.Needs a human 0%AI helps 76%AI does it 24%
Record information about financial status of customers and status of collection efforts.AI does it
Locate and notify customers of delinquent accounts by mail, telephone, or personal visits to solicit payment.AI does it
Locate and monitor overdue accounts, using computers and a variety of automated systems.AI helps
Arrange for debt repayment or establish repayment schedules, based on customers' financial situations.AI helps
Advise customers of necessary actions and strategies for debt repayment.AI does it
Answer customer questions regarding problems with their accounts.AI helps
Persuade customers to pay amounts due on credit accounts, damage claims, or nonpayable checks, or to return merchandise.AI helps
Confer with customers by telephone or in person to determine reasons for overdue payments and to review the terms of sales, service, or credit contracts.AI helps
Receive payments and post amounts paid to customer accounts.AI helps
Trace delinquent customers to new addresses by inquiring at post offices, telephone companies, credit bureaus, or through the questioning of neighbors.AI helps
Notify credit departments, order merchandise repossession or service disconnection, and turn over account records to attorneys when customers fail to respond to collection attempts.AI helps
Sort and file correspondence and perform miscellaneous clerical duties, such as answering correspondence and writing reports.AI helps
Perform various administrative functions for assigned accounts, such as recording address changes and purging the records of deceased customers.AI helps
Contact insurance companies to check on status of claims payments and write appeal letters for denial on claims.AI helps
Negotiate credit extensions when necessary.AI helps

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.

When could it be replaced?

Could be largely automated 2035–2045

80% of scenarios between 2035 and 2045. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.

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 scenarios behind its replacement range.

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: 10.0% of scenarios: AI could partly do this job (Partly.)10%2035: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%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%50.0%10.0%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 O*NET work context, licensing and the evidence we have.

LiabilityMistakes are rated 3.1 out of 5 for consequence and decisions 4.2 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.
Clients want a personFace-to-face contact is rated 3.8 and physical closeness 2.8 out of 5; caring for or serving people is 2.3 out of 5 in importance.
RegulationWorkers rate responsibility for others' health and safety 2.2 out of 5.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then moderate-term on-the-job training.
Physical work0% of the task time is physical.

What would it cost to hand the work to AI?

The share of the year AI could handle (978 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$100–$9,780
A person’s wage for the same hours
$16,170–$30,820

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.

0%
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 0%AI helps 76%AI does it 24%
Writing · 19.2% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 14.2% 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 · 30.4% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 24.5% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 0% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 11.8% 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 0%AI helps 76%AI does it 24%
How exposed is it?

Still needs a human: 60/100↑ 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: 0% needs a human, 76% AI helps, 24% AI does it. Still needs a human: 60/100 ↑ safer. Will AI replace them? A little.

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: 60/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate many routine collection tasks like reminders, segmentation, and payment negotiation, but human collectors will still be needed for complex cases, empathy, compliance, and dispute resolution.

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

AI will automate routine collections (reminders, basic negotiations, payment plans) but complex disputes, emotional situations, and high-value accounts will likely still require human collectors for the foreseeable future.

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

While AI will automate routine outreach and payment processing, human collectors will still be needed to handle complex disputes, navigate delicate negotiations, and provide empathy for financially distressed consumers.

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

AI will automate much routine collection work and reduce headcount, but human collectors will remain for complex negotiations, disputes, hardship cases, and legally sensitive accounts.

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 Bill and Account Collectors? A little. Still needs a human: 60/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/bill-and-account-collectors/ (accessed 3 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.