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Bill and account collectors

Also called Debt collector, Collection specialist, Accounts receivable collector, Collection agent, Collector

In brief

In May 2025, BLS counted 158,830 US bill and account collectors, with median pay of $47,030 a year. Of the BLS counts since 2003, the highest was 445,180, in May 2004. The earliest figure here is a Census count of 38,000 from 1940, not measured the same way as today's count. The last full technology era for bill and account collectors: Predictive dialer + collection management software, 1988 to 2005. Predictive dialers increased collector productivity (calls per hour), which meant the industry could handle higher account volumes without proportionally more headcounts.

What the sources say

Official outlook

BLS projects employment to decline 10.4% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

  • 42.9% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
  • 0.95 estimated probability that the whole occupation could be computerised, over an unspecified number of years. Not a forecast of job losses. Frey and Osborne, 2013

Since the 2013 prediction

In 2013, Frey and Osborne put this job's probability of computerisation at 0.95. BLS counted 368,850 of these jobs in May 2013 and 158,830 in May 2025 (-57%, a change derived by Future History).

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Bill and account collectors: jobs and pay since 1940 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/43-3011

Chicago

Future History. "Bill and account collectors: jobs and pay since 1940." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/43-3011.

BibTeX

@misc{futurehistory_43_3011, author = {{Future History}}, title = {Bill and account collectors: jobs and pay since 1940}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/43-3011}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
187519001925195019752000now
Country
2026
Known then as Bill Collector / Collector (informal, pre-association era)
Known then as Collection Agent / Collector (American Collectors Association era)
Known then as Collection Specialist / Bill Collector (post-FDCPA regulated era)
Known then as Bill and Account Collectors (BLS SOC 43-3011)
Known today as Bill and Account Collectors (BLS SOC 43-3011)
Projected to still be called Bill and Account Collectors (BLS SOC 43-3011)
Data from the May 2025 survey
US Employment
159K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$47,030
Est.

≈ $45,824 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1939

June 1939: Representatives of the Pacific Coast Association of Collection Agencies and the California Association of Collectors hold a joint convention in Oakland, California, and launch the American Collectors Association with 273 charter members. This is the founding moment of professional self-governance for bill and account collectors in the United States. The ACA establishes the first national code of ethics for collectors and the first training standards for the occupation. It will eventually become ACA International in 2001, representing members in more than 25 countries.

Beat · 1977

September 20, 1977: President Jimmy Carter signs the Fair Debt Collection Practices Act (FDCPA). The law bans collection calls before 8 a.m. or after 9 p.m., prohibits contact at a debtor's workplace without consent, requires collectors to identify themselves and disclose they are attempting to collect a debt, and gives debtors the right to demand written debt verification. Violation triggers strict liability for up to $1,000 in statutory damages plus attorney fees, even without proving actual harm. The FDCPA transforms bill collecting from a largely unregulated occupation into a legally structured one and sets in motion the compliance infrastructure that now defines the role.

Beat · 1989

The savings-and-loan crisis of 1986-1995, in which over 1,000 S&L institutions fail, triggers the creation of the Resolution Trust Corporation (RTC), which auctions off large portfolios of delinquent loans. These auctions, accessible to the general public for the first time, seed the modern debt-buying industry. Entrepreneurs and firms purchase delinquent portfolios at "pennies on the dollar" and hire collectors to work them for profit. This adds a third employer category for bill collectors (debt buyers, in addition to original creditors and traditional third-party agencies) and expands the industry substantially in the 1990s.

Beat · 1991

The Telephone Consumer Protection Act (TCPA) of 1991 restricts the use of automated dialing equipment to contact cell phones without prior express consent. Initially, with most consumers reachable by landline, its effect on collection agencies is limited. As cell phone adoption rises through the 2000s and landline use declines, TCPA compliance becomes the dominant legal risk management challenge for the industry, constraining the aggressive auto-dialing campaigns that had driven 1990s productivity growth and creating a specialist compliance function within larger agencies.

Beat · 1997

The Debt Buyers Association (DBA) is established as the first trade association specifically for companies that purchase and collect on delinquent debt portfolios. By 2005, debt buyers will purchase approximately $110 billion (face value) in delinquent debt annually, representing a distinct sub-sector within the broader collections industry. The DBA's formation marks the formal recognition of debt-buying as a mainstream financial services business, not a fringe activity, and consolidates a new employer category for bill and account collectors.

Beat · 2010

The Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 creates the Consumer Financial Protection Bureau (CFPB), which begins supervising debt collectors in 2012. The CFPB' active supervision, enforcement actions, and eventual Regulation F rulemaking (finalized 2020, effective November 30, 2021) adds the most significant regulatory layer to the bill collector occupation since the FDCPA in 1977. Reg F establishes specific call-frequency limits (7 calls per week per debt per consumer), formalizes rules for email and text communication, and introduces a model validation notice format. Combined with TCPA enforcement, Reg F constrains the outbound contact volumes that had historically justified large collector headcounts.

Beat · 2025

February 2025: Prodigal Technologies launches ProAgent, an AI-native platform that handles routine inbound and outbound collection calls autonomously and escalates only to human collectors when complex judgment is required. The launch is widely covered in the ARM (accounts receivable management) industry press as the clearest signal yet that the high-volume routine contact work at the core of the bill collector's historical job description is being automated. Prodigal' companion tools (proScore for propensity-to-pay prioritization, proAssist for real-time live-agent coaching, ProNotes for automated call summaries) represent the full AI stack now available to the role.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace bill and account collectors? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
-10.4%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 43-3011 (Bill and account collectors): 160.2 thousand jobs in 2025, projected 143.4 thousand in 2035, a change of -16.7 thousand (-10.4%). Matrix employment counts all jobs in the occupation, including self-employed workers (0.3% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Frey & Osborne (2013), "The Future of Employment"
2013 study · Probability of computerisation (2013 model)
95%
probability
What this measures

Published appendix value for SOC 2010 43-3011 Bill and Account Collectors: probability of computerisation 0.95, rank 613 of 702 (rank 1 is least computerisable). Frey and Osborne estimated in 2013, with a Gaussian-process classifier on O*NET variables, how likely the whole occupation is to be technically automatable over "some unspecified number of years, perhaps a decade or two". It is a probability for the occupation, not a share of tasks and not a forecast of jobs lost.

Official statisticReport an error
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
42.9%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 43-3011.00 Bill and Account Collectors. Shown: human-rated β = 0.429, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.107 and γ (all LLM-assisted) 0.75; GPT-4-rated β 0.696. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for bill and account collectors

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is taking this onReceive payments through digital portals or over the phone, verify amounts against account records, post to the collections management system, and send confirmation to the debtor.

Receive payments through digital portals or over the phone, verify amounts against account records, post to the collections management system, and send confirmation to the debtor.[4],[5]

Where your edge is

As self-service payment portals handle most routine payments automatically, shift focus to exception handling: partial payments, disputed amounts, returned items, and balancing the ledger at month-end.

AI is sitting alongside you hereReview and approve outbound AI-drafted payment reminder messages (SMS, email, voicemail) before campaign launch, checking tone, accuracy, and legal disclosures.

Review and approve outbound AI-drafted payment reminder messages (SMS, email, voicemail) before campaign launch, checking tone, accuracy, and legal disclosures.[6],[7]

Where your edge is

Develop editorial judgment for debt-communication compliance; AI drafts at scale but a missed disclosure or misleading phrase exposes the organization to class-action risk under FDCPA.

AI is sitting alongside you hereReview AI-generated priority queues and propensity-to-pay scores, then decide which delinquent accounts to contact today and by which channel (call, SMS, or email).

Review AI-generated priority queues and propensity-to-pay scores, then decide which delinquent accounts to contact today and by which channel (call, SMS, or email).[4],[1]

Where your edge is

Learn how behavioral-scoring models weight recency, balance, and payment history; develop judgment for cases the score ranks counter-intuitively (sudden hardship, billing dispute, identity theft).

Where bill and account collectors go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Credit Counselors

Bill and account collectors already discuss debt repayment strategies, assess financial hardship, and explain credit terms daily. Credit counselors perform the same skills in a non-adversarial advisory context, with a focus on budgeting and long-term financial health. The shift requires a nonprofit or agency setting, formal certification (NFCC member programs, AFCPE AFC), and a reframe from recovery to counseling.

What you'd add
  • · NFCC credit counselor certification or AFCPE AFC credential
  • · Budgeting and debt management plan (DMP) construction
  • · Knowledge of bankruptcy basics (Chapter 7 vs. Chapter 13) and alternatives
  • · Motivational interviewing and non-judgment communication techniques
What it takesSome new skills to pick up
Tools of the era

How has the work of bill and account collectors changed since 1870?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Ledger book + in-person dunning visit (pre-telephone collection era)

    The bill collector of the 1870s-1930s worked with a ledger of delinquent accounts, a route map, and the ability to show up at a debtor's home or business in person. Collection was fundamentally a face-to-face occupation: the "bill man" knocked on doors, presented account balances, accepted partial payments in cash, and noted results in a paper ledger returned to the creditor or agency. Letters were the only alternative to in-person contact. The occupation required local geographic knowledge, physical mobility, and the social skill to manage confrontational conversations without legal training or enforcement authority. Most collection was first-party (the original creditor's employee) until dedicated collection agencies grew in the 1890s-1920s.

  • Telephone + filing systems (American Collectors Association professional era)

    The telephone transformed collection from an itinerant door-to-door occupation into an office-based one. Collectors could now reach multiple debtors per hour instead of per day. The formation of the American Collectors Association in 1939 coincided with the telephone's near-universal adoption in American business, and the ACA immediately established the telephone call as the standard collection contact method. Office-based filing systems (Rolodex, card indexes, and eventually early IBM tabulating equipment) replaced the route ledger. The shift to telephone collection also meant that larger agencies in central locations could serve creditors across a wide geography, enabling the third-party agency model to scale beyond local operations.

  • FDCPA compliance systems (regulated collection era, 1977)

    President Carter signed the Fair Debt Collection Practices Act on September 20, 1977, establishing for the first time a federal legal framework for how bill collectors could contact debtors: limited to the hours of 8 a.m. to 9 p.m.; prohibited from contacting employers without consent; required to give the "Mini-Miranda" disclosure identifying the communication as an attempt to collect a debt; required to stop contact on written request; required to verify debts on demand. Violation created strict liability: debtors could sue for statutory damages plus attorney fees. Compliance with the FDCPA required that collectors be trained, that agencies maintain records of contact dates and disclosures given, and that management audit calls. The law professionalized the occupation's paper trail and created a market for compliance tools, but it also raised the cost of non-compliance so steeply that the role increasingly required workers who could manage legal discipline alongside interpersonal negotiation.

  • Predictive dialer + collection management software (Davox, Aspect, Ontario Systems)

    The predictive dialer, which automatically dials multiple phone numbers simultaneously and connects a live collector only when a human answers, became widely deployed in collection agencies during the late 1980s and early 1990s. Early systems (Davox, Aspect Communications, Teknekron) allowed a single collector to handle several times the call volume achievable on a manual dialer, dramatically increasing the throughput of the high-volume outreach work that was the core of a collector's day. Simultaneously, purpose-built collection management software (Ontario Systems' FACS, then Collect!, Latitude by Genesys) replaced paper ledgers and Rolodex files with integrated account databases, automated letter generation, and contact-history logging. The combination of predictive dialing and collection software both grew the industry (higher throughput made collection work more profitable, attracting more agencies and headcount) and concentrated it (smaller agencies without technology investment lost competitive ground to larger, automated call centers).

    Effect on the work

    Predictive dialers increased collector productivity (calls per hour), which meant the industry could handle higher account volumes without proportionally more headcounts. This likely dampened employment growth during the 1990s relative to what the expansion in consumer credit would otherwise have demanded.

  • TCPA + IVR payment portals (Telephone Consumer Protection Act 1991, interactive voice response)

    The Telephone Consumer Protection Act, signed in 1991, restricted the use of automated dialers to call cell phones without prior express consent. Initially this had limited effect on collection (most consumers had landlines); the TCPA's impact on bill collectors intensified as cell phone adoption rose through the 2000s, creating legal exposure that agencies had to manage actively. Simultaneously, interactive voice response (IVR) systems began handling routine inbound calls (payment processing, balance inquiries, payment arrangements on simple accounts) without a live agent. By the mid-2000s, IVR payment portals were standard at major collection agencies. The TCPA and IVR together represent opposite pressures: the TCPA constrained the aggressive outbound dialing that had driven 1990s productivity gains, while IVR began offloading routine inbound contact from human collectors.

  • CFPB oversight + digital self-service portals (Regulation F, online payment systems)

    The Consumer Financial Protection Bureau, created by the Dodd-Frank Act in 2010, began active supervision of debt collectors in 2012, and issued its landmark Regulation F rules in 2020 (effective November 2021). Reg F set the first specific limits on contact frequency (several calls per week per debt), formalized electronic communication rules for email and text, and introduced the model validation notice. The regulatory compliance burden intensified just as self-service payment portals (online account access, text-to-pay, email payment links) were absorbing a growing share of routine collection work. Collectors who had previously spent most of their day on outbound calls now increasingly managed omnichannel sequences and reviewed AI-generated communication drafts for compliance accuracy. Employment declined throughout this era as the routine-contact layer of the job moved to automation.

    Effect on the work

    BLS OEWS employment in 43-3011 declined between 2003 and 2020, a reduction in headcount, driven by the combined effect of predictive dialers' continued productivity improvement, IVR and online payment self-service, and the regulatory constraints that slowed the outbound call volumes at the core of the traditional model.

  • AI voice agents + real-time compliance coaching (Prodigal, Skit.ai, Sedric, 2018-present)

    Prodigal Technologies (founded 2018) and Skit.ai (also 2018) brought purpose-built AI to the collection call workflow: AI voice agents that handle routine outbound and inbound calls autonomously, calling to confirm accounts, presenting payment options, processing arrangements, and following up on broken promises without a live collector. Prodigal's ProAgent product, launched in February 2025, explicitly automates the routine contact tier and escalates only to humans for complex negotiations. Sedric (2021) monitors nearly all live calls for FDCPA and Reg F compliance in real time, prompting agents on missed disclosures. HighRadius (accounts receivable AI platform since 2006) automates prioritization queues and cash application. These tools collectively take over the work that once justified large collector teams: the repetitive outbound dial, the simple payment arrangement, the routine inbound query. The remaining human role concentrates on complex negotiation, hardship exceptions, dispute resolution, and the compliance-sensitive escalation judgment that AI cannot yet substitute.

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Bill and Account Collectors employment and pay by year

On record since1870
Latest US employment158,830 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$47,030 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook-10.4% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error

In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

  • Canada (NOC 14202)

    Employment, 2020
    12,400, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 14202 Collection clerks, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
    Median pay, 2020
    C$52,800, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 14202 Collection clerks, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
View all 27 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
194038,000n/aDecennial Census 1940 Researched contextReport
196075,000$4,200Est., Author estimate anchored to the 1960… (employment) Researched contextEst., University of Missouri Libraries (pay) Researched contextReport
1980150,000n/aEst., Author estimate anchored to the 1980… Researched contextReport
2000387,870$25,310BLS OEWS 2000 Official statisticReport
2003417,100$27,000BLS OEWS May 2003 Official statisticReport
2004445,180$27,450BLS OEWS May 2004 Official statisticReport
2005431,280$28,160BLS OEWS May 2005 Official statisticReport
2006423,090$29,050BLS OEWS May 2006 Official statisticReport
2007409,570$29,990BLS OEWS May 2007 Official statisticReport
2008408,760$30,630BLS OEWS May 2008 Official statisticReport
2009403,100$30,940BLS OEWS May 2009 Official statisticReport
2010399,950$31,310BLS OEWS May 2010 Official statisticReport
2011390,800$31,920BLS OEWS May 2011 Official statisticReport
2012385,890$32,480BLS OEWS May 2012 Official statisticReport
2013368,850$32,920BLS OEWS May 2013 Official statisticReport
2014346,960$33,700BLS OEWS May 2014 Official statisticReport
2015318,970$34,440BLS OEWS May 2015 Official statisticReport
2016298,960$35,350BLS OEWS May 2016 Official statisticReport
2017271,700$35,330BLS OEWS May 2017 Official statisticReport
2018251,330$36,020BLS OEWS May 2018 Official statisticReport
2019235,870$37,000BLS OEWS May 2019 Official statisticReport
2020222,030$38,100BLS OEWS May 2020 Official statisticReport
2021212,900$37,700BLS OEWS May 2021 Official statisticReport
2022202,840$39,470BLS OEWS May 2022 Official statisticReport
2023190,910$44,250BLS OEWS May 2023 Official statisticReport
2024165,020$46,040BLS OEWS May 2024 Official statisticReport
2025158,830$47,030BLS OEWS May 2025 Official statisticReport
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