SOC 43-3011

Bill and Account Collectors AI displacement risk

Locating accounts, scripted payment reminders, and status recording are exactly what AI voice agents and automated dialing now handle. Negotiating repayment plans, handling disputes, and regulated consumer interactions keep some human collectors necessary.

Exposure82

Share and intensity of work current AI systems can materially affect.

Automation66%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandHigh

First-party early-stage collections automate fastest. Complex disputes, hardship negotiations, and compliance-sensitive accounts still require human judgment, but overall seat counts are declining.

Distribution

Where Bill and Account Collectors sits across 620 tracked roles

Bill and Account Collectors · 76050100

Displacement pressure 76 — higher than 96% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

15 O*NET task statements matched to SOC 43-3011. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $47,030 (May 2025, US national). The latest BLS row matched SOC 43-3011.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Bill and Account Collectors

SOC 43-3011 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 76/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Bill and Account Collectors

The current evidence import matched 15 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks15
SOC43-3011
  • Core task / ID 2474

    Record information about financial status of customers and status of collection efforts.

  • Core task / ID 2475

    Locate and notify customers of delinquent accounts by mail, telephone, or personal visits to solicit payment.

  • Core task / ID 2473

    Locate and monitor overdue accounts, using computers and a variety of automated systems.

  • Core task / ID 2481

    Arrange for debt repayment or establish repayment schedules, based on customers' financial situations.

  • Core task / ID 2477

    Advise customers of necessary actions and strategies for debt repayment.

  • Core task / ID 18559

    Answer customer questions regarding problems with their accounts.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

language

Notify customers of delinquent accounts

Exposure 86, automation 72%, augmentation 18%.

O*NET evidence: Locate and notify customers of delinquent accounts by mail, telephone, or personal visi... (ID 2475)

information

Record collection status and payments

Exposure 82, automation 66%, augmentation 20%.

O*NET evidence: Record information about financial status of customers and status of collection efforts. (ID 2474)

analytical

Arrange repayment schedules

Exposure 48, automation 26%, augmentation 52%.

O*NET evidence: Arrange for debt repayment or establish repayment schedules, based on customers' financ... (ID 2481)

social

Confer with customers about overdue reasons

Exposure 36, automation 14%, augmentation 46%.

O*NET evidence: Confer with customers by telephone or in person to determine reasons for overdue paymen... (ID 2476)

TaskExposureAutomationAugmentation
Notify customers of delinquent accounts8672%18%
Record collection status and payments8266%20%
Arrange repayment schedules4826%52%
Confer with customers about overdue reasons3614%46%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Collections Operations Analyst

Training horizon: 3-6 months. Skill overlap 68. Wage preservation signal 114.

  • Audit AI outreach quality
  • Track recovery metrics
  • Design hardship workflows
High
adjacent role

Credit Counselor

Training horizon: 3-6 months. Skill overlap 62. Wage preservation signal 104.

  • Learn counseling frameworks
  • Practice budget coaching
  • Document repayment plans
High

Comparison guides

Compare the next move before you commit

What the AI risk score means for Bill and Account Collectors

The displacement pressure score for Bill and Account Collectors is 76. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Notify customers of delinquent accounts carries 72% automation pressure, while Arrange repayment schedules carries 52% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $47,030 (May 2025, US national). Employment context: Collections workforce targeted by outbound automation. Typical education: High school diploma or equivalent.

Wage vulnerability is 68, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • High substitution pressure
  • Voice AI targets outbound volume
  • Compliance knowledge transfers well

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Bill and Account Collectors, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Negotiation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Collections compliance

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Hardship judgment

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

CRM documentation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Collections Operations Analyst, such as audit ai outreach quality.
  3. By 90 days, compare internal openings and external postings for Collections Operations Analyst or Credit Counselor and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Bill and Account Collectors

Will AI replace Bill and Account Collectors?

Locating accounts, scripted payment reminders, and status recording are exactly what AI voice agents and automated dialing now handle. Negotiating repayment plans, handling disputes, and regulated consumer interactions keep some human collectors necessary. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Bill and Account Collectors work are most exposed to AI?

Notify customers of delinquent accounts and Record collection status and payments show the strongest automation pressure in this model. Arrange repayment schedules and Confer with customers about overdue reasons are better treated as AI-augmented work.

What should Bill and Account Collectors learn next?

Start with Negotiation, Collections compliance, Hardship judgment. The most practical adjacent paths in this model are Collections Operations Analyst and Credit Counselor.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail