Changing fast

Last Update: 3/13/2026

Your role’s AI Resilience Score is

14.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Bill and Account Collectors

They help businesses get paid by contacting customers who owe money and arranging payment plans to settle overdue bills.

This role is changing fast

The career of Bill and Account Collectors is changing fast because many routine tasks, like sending reminders and updating records, are now handled by advanced software and automated systems. AI tools are being used to schedule calls and send the right messages, which boosts efficiency and repayment rates.

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This role is changing fast

The career of Bill and Account Collectors is changing fast because many routine tasks, like sending reminders and updating records, are now handled by advanced software and automated systems. AI tools are being used to schedule calls and send the right messages, which boosts efficiency and repayment rates.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

16.0%

16.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

25.7%

25.7%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Changing fast iconChanging fast

18.1%

18.1%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

11.3%

11.3%

Althoff & Reichardt

Economic Growth

Learn about this score
Changing fast iconChanging fast

0.3%

0.3%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-10.5%

Growth Percentile:

4.8%

Annual Openings:

13,700

Annual Openings Pct:

60.4%

Analysis of Current AI Resilience

Bill & Account Collectors

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Many routine collection tasks are already handled by computers. For example, the official job summary (O*NET) lists duties like “record information about financial status” and “monitor overdue accounts using computers and a variety of automated systems” [1]. In real life, collectors use software and automated dialers to send reminders and update records.

The U.S. Bureau of Labor Statistics (BLS) notes that advanced software and automated calling lets collectors handle far more accounts with the same number of people [2]. In one study, an AI system that learned when to schedule collection calls achieved about 23% higher repayment rates than human agents [3]. Despite these gains, the most personal tasks (like explaining options or understanding a person’s situation) still need humans.

Chatbots or robots can give simple answers or reminders, but BLS and industry experts agree: collection work will still need real people to talk through complicated cases [2] [3].

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AI Adoption

AI in the real world

Lenders are optimistic but cautious about using AI in collection. On the plus side, the tools are available and often effective. Consultants observe that many customers now prefer digital communication, so companies use machine learning and automation to send the right message at the right time [4].

McKinsey analysts note that building a “digital-first” contact strategy can be very cost-effective – the technology investment is a small fraction of the payoff, because it brings in much more recovered money [4]. Indeed, the study on call scheduling showed clear gains with AI [3].

On the cautious side, collection is a regulated, people business. Collectors only make around \$22 per hour on average (about \$46K/year), so companies compare that cost to expensive AI systems. Because of legal rules about how and when people can be called, firms must still supervise automated calls.

In practice, BLS projects about a 10% decline in bill-collector jobs through 2034 [2], reflecting steady use of technology but also ongoing demand to replace retiring workers. In short, money-saving AI will be adopted where it clearly helps and follows rules, but the human skills of explaining, trusting, and negotiating remain important parts of the job [4] [3].

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More Career Info

Career: Bill and Account Collectors

Employment & Wage Data

Median Wage

$46,040

Jobs (2024)

166,900

Growth (2024-34)

-10.5%

Annual Openings

13,700

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

55% ResilienceCore Task

Answer customer questions regarding problems with their accounts.

2

50% ResilienceCore Task

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.

3

50% ResilienceSupplemental

Notify credit departments, order merchandise repossession or service disconnection, and turn over account records to attorneys when customers fail to respond to collection attempts.

4

45% ResilienceCore Task

Advise customers of necessary actions and strategies for debt repayment.

5

45% ResilienceSupplemental

Contact insurance companies to check on status of claims payments and write appeal letters for denial on claims.

6

40% ResilienceCore Task

Persuade customers to pay amounts due on credit accounts, damage claims, or nonpayable checks, or to return merchandise.

7

40% ResilienceCore Task

Trace delinquent customers to new addresses by inquiring at post offices, telephone companies, credit bureaus, or through the questioning of neighbors.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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