COOKED
The core of this job — importing timecards, computing hours and overtime, applying deduction and garnishment tables, running the payroll cycle, and generating W-2s and 941s — is already handled end-to-end by ADP, Workday, Gusto and similar platforms, with AI layered on for exception flagging and employee Q&A. What remains for a human is chasing missing approvals, reconciling odd cases (retro pay, multi-state tax, union differentials, terminations mid-cycle), and being the person an anxious employee talks to about a wrong check. Certification (CPP/FPC) is valued but no license is legally required and the employer, not the clerk, carries the liability.
Dipped in 2020, then grew past where it started.
Median pay $46,180 → $58,260 +0.9% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
-16.7% 161,100 → 134,200 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -16.7% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~13,000 openings a year on average, including replacing people who leave.
CheckmanTime ClerkTimekeeperBonus ClerkTime CheckerPayroll ClerkTime RecorderWanigan ClerkSign Out ClerkPayroll AnalystPayroll OfficerPersonnel ClerkAttendance ClerkCommissions ClerkPayroll AssistantPayroll AssociatePayroll ProcessorPayroll SecretaryFinance SpecialistPayroll BookkeeperPayroll SpecialistPayroll TechnicianPayroll CoordinatorPersonnel Assistant
Holding it up: task resistance . Weakest point: embodiment .
Core tasks are already automatable Timecard import, FLSA overtime math, garnishment sequencing, and quarterly 941 filing are all shipped features in ADP and Workday, so the 5 reflects the residual manual work — pinging a supervisor for an unapproved timesheet, hand-keying a retro adjustment, sorting a mid-cycle termination's final-check state rules — rather than any core duty that resists software.
Fully desk- and screen-based The only physical acts are handing someone a printed stub or stuffing check envelopes, and even those are disappearing into direct deposit and self-service portals, which is why this sits at 1 rather than 0-by-definition desk work.
No licence, no signature requirement CPP and FPC certifications get you interviewed but no statute requires them to run payroll; when a 941 is late or wages are underwithheld, the IRS assesses the employer and any trust-fund recovery penalty lands on officers with check-signing authority, not the clerk who keyed the entry.
Executes defined procedures on defined inputs Multi-state taxation, union differentials, and shift-premium interpretation involve real calls, but they resolve against the CBA, the state wage schedule, and IRS Pub 15 rather than your read of an ambiguous situation, and a manager or controller approves the register before funding.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (5/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (5/20) is whether buyers specifically pay for a person. Judgment and accountability (5/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 12 of this occupation's 18 points (67%).
Embodiment (1/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Accountants and Auditors EXPOSED
Loan Officers EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 37/100 — EXPOSED.
Task-mix shift toward the exception tier: post-2020 remote work has multiplied multi-state/local tax nexus, reciprocity and residency determinations per employee; add union CBA differentials, retro pay, mid-cycle terminations, and prevailing-wage/certified payroll (Davis-Bacon) reporting on federally funded infrastructure work. If the routine cycle is fully automated, what remains is the ambiguous reconciliation tier — but this only supports a modest rise, and the headcount doing it is smaller.
Growth in DOL Wage and Hour Division audits and private FLSA collective actions, where the payroll clerk is the custodian and deponent on how hours, rounding and exempt classification were actually applied. Being the person who must reconstruct and defend the record under oath is a form of accountability that AI output cannot absorb.
Expansion of individual personal liability for wage underpayment beyond owners/officers to payroll staff — California Labor Code 558.1 already reaches 'any other person acting on behalf of an employer' who violates wage provisions, and New York's Wage Theft Prevention Act plus state criminal wage-theft statutes (e.g., Minnesota's 2019 felony wage theft law, Colorado HB19-1267) create the template. If a state board or court reads these to cover the clerk who knowingly certifies payroll, or if certified-payroll filings under Davis-Bacon require a named human signatory attesting under penalty of perjury (WH-347 already carries a signed statement of compliance), this rises.
Garnishment, child-support withholding and bankruptcy-order processing carry statutory penalties for the employer and require a human to resolve competing-order priority and CCPA disposable-earnings limits under ambiguity. If employers formally designate a named individual as the responsible party for garnishment compliance — as some state child-support agencies already push for — the role owns a consequential call rather than staffing a queue.
Union collective bargaining agreements specifying a named human payroll contact for members disputing differentials, shift premiums or dues deductions — some public-sector and building-trades CBAs already contain grievance provisions requiring a person, not a portal. This is narrow and applies mainly to unionized employers.
An IRS or state DOL rule requiring a named, credentialed human (CPP-equivalent) to attest to AI-generated 941/W-2 filings or AI-computed overtime classifications, analogous to the paid preparer signature requirement on tax returns. Nothing like this exists for payroll today; it would need a new statutory hook.
The limit. Even if every lever lands, this occupation does not escape the low-30s. The liability levers attach to a single senior attester per employer, not to the clerk population — the likely shape is a small number of accountable payroll managers plus vendor software, with the 153,140 figure falling regardless of what happens to the score. There is no realistic broad consumer trust premium: the buyer is an employer purchasing a cost center, and employers have consistently chosen the cheapest compliant option.
| New York-Newark-Jersey City, NY-NJ | 7,770 | $63,500 +9% |
| Los Angeles-Long Beach-Anaheim, CA | 6,600 | $65,040 +12% |
| Atlanta-Sandy Springs-Roswell, GA | 4,260 | $62,710 +8% |
| Chicago-Naperville-Elgin, IL-IN | 4,170 | $62,920 +8% |
| Dallas-Fort Worth-Arlington, TX | 3,800 | $60,230 +3% |
| Houston-Pasadena-The Woodlands, TX | 3,260 | $54,090 -7% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2,750 | $57,450 -1% |
| Phoenix-Mesa-Chandler, AZ | 2,650 | $50,350 -14% |
| San Francisco-Oakland-Fremont, CA | 2,260 | $80,510 +38% |
| San Jose-Sunnyvale-Santa Clara, CA | 1,000 | $77,950 +34% |
| Santa Rosa-Petaluma, CA | 300 | $68,870 +18% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 18. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.