{
  "source": "Cooked Index — occupational AI risk register",
  "page": "https://cookedindex.com/jobs/credit-authorizers-checkers-and-clerks/",
  "methodology": "https://cookedindex.com/methodology",
  "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.",
  "scored_at": "2026-08-11",
  "model": "claude-opus-5",
  "occupation": {
    "title": "Credit Authorizers, Checkers, and Clerks",
    "soc_code": "43-4041",
    "category": "Office",
    "us_employment": 12030,
    "median_annual_wage": 50080
  },
  "verdict": "COOKED",
  "risk_resistance": 13,
  "contested": false,
  "near_boundary": false,
  "dimensions": {
    "task_resistance": 3,
    "embodiment": 1,
    "liability_shield": 2,
    "trust_premium": 3,
    "judgment_accountability": 4
  },
  "reasoning": {
    "task_resistance": "Scorecard scoring, bureau pulls via Experian/Equifax API, DTI arithmetic, and stipulation checklists are rule-driven steps that FICO and Blaze decision engines execute at approval rates above 90% of file volume — the 3 rather than a 7 reflects that even your residual work, calling an employer to confirm a start date or re-keying a paystub, is now covered by OCR plus automated verification services like Truework.",
    "embodiment": "The job is a workstation, a headset, and a document queue; the only physical act is handling faxed or scanned paper, which the shift to e-signature and borrower upload portals has largely removed.",
    "liability_shield": "No NMLS registration, state license, or bonding attaches to a credit clerk — the lender's charter and the underwriter's signature carry ECOA and FCRA adverse-action exposure, and an approval you enter within your dollar authority is still the institution's decision, not yours.",
    "trust_premium": "Applicants speak to the loan officer or dealer F&I manager; when you do call, it's to a payroll department you will never speak to again, and no borrower chooses a lender because of who verified their file.",
    "judgment_accountability": "You decide whether a thin file gets referred up or a stipulation counts as satisfied, which is real but bounded discretion — credit policy, cutoff scores, and approval limits are handed to you by risk management, and anything outside the matrix escalates rather than resolves at your desk."
  },
  "rationale": "The core work — pulling credit bureau reports, verifying employment and income documents, comparing applicant data against fixed lending criteria, and approving or referring within a preset dollar limit — is exactly what automated decisioning engines have been eating since well before generative AI, and employment has already fallen sharply. What remains is exception handling and phone follow-up on incomplete files, which language models plus document OCR now do at usable quality. No license is required, the customer relationship belongs to the loan officer, and the credit policy is set by underwriting and risk, not by the clerk.",
  "outlook": "Headcount keeps shrinking as decisioning engines absorb routine approvals; the surviving jobs cluster in fraud investigation, exception underwriting, and fair-lending oversight of the automated systems.",
  "what_would_raise_it": {
    "levers": [
      {
        "dimension": "liability_shield",
        "change": "A named-human-reviewer requirement for consequential credit decisions: Colorado SB 24-205 (AI Act, consequential decisions expressly include lending) obliges deployers to provide an opportunity to appeal an adverse AI decision 'with human review, if technically feasible'. If implementing rules or a successor state statute make that human reviewer a designated, auditable role inside the lender rather than a generic 'compliance function', the adverse-action reviewer becomes a defined job — the closest thing this occupation has to a sign-off seat. EU AI Act Art. 14 human-oversight duties for Annex III creditworthiness systems is the same mechanism for US banks with EU operations.",
        "plausibility": "plausible",
        "would_add": 5
      },
      {
        "dimension": "liability_shield",
        "change": "CFPB Circular 2022-03 and the 2023 follow-up already hold that ECOA/Reg B adverse action notices must give specific principal reasons even when a black-box model made the call. If examiners begin citing lenders for machine-generated reason codes that don't match the actual model drivers, banks staff a human reason-code validation step per denied file before the notice goes out.",
        "plausibility": "already happening",
        "would_add": 3
      },
      {
        "dimension": "judgment_accountability",
        "change": "Fair-lending override logging: if OCC/FDIC exam guidance or a DOJ redlining consent order requires that every model override and every referred exception be documented with a named human rationale and retained for disparate-impact testing, the exception queue stops being clerical and becomes a decision-of-record with an owner.",
        "plausibility": "plausible",
        "would_add": 4
      },
      {
        "dimension": "task_resistance",
        "change": "Genuine two-tier structure exists here: the bureau-pull-and-match tier is gone, leaving synthetic-identity and first-party fraud files, small-business and self-employed income reconstruction from bank statements, and disputed-tradeline resolution. As the routine tier disappears entirely, the surviving headcount is concentrated in that tier — the score rises for the remaining jobs even as the count keeps falling.",
        "plausibility": "already happening",
        "would_add": 3
      }
    ],
    "ceiling_note": "Every lever raises quality of the surviving seats, not their number; headcount has already fallen sharply and none of these mechanisms creates demand. Trust premium has no plausible route — the borrower never meets this role and cannot pay for a human they don't know exists. Embodiment is fixed at floor."
  },
  "adjudication": null,
  "employment_history": {
    "points": [
      {
        "y": 2017,
        "emp": 34350,
        "wage": 37290
      },
      {
        "y": 2018,
        "emp": 29980,
        "wage": 38750
      },
      {
        "y": 2019,
        "emp": 26700,
        "wage": 40100
      },
      {
        "y": 2020,
        "emp": 24600,
        "wage": 41730
      },
      {
        "y": 2021,
        "emp": 16820,
        "wage": 44710
      },
      {
        "y": 2022,
        "emp": 16290,
        "wage": 44830
      },
      {
        "y": 2023,
        "emp": 14290,
        "wage": 48000
      },
      {
        "y": 2024,
        "emp": 11960,
        "wage": 49130
      },
      {
        "y": 2025,
        "emp": 12030,
        "wage": 50080
      }
    ],
    "from": 2017,
    "to": 2025,
    "change_pct": -65,
    "comparable_from": 2019,
    "spans_soc_revision": true
  },
  "pivots": [
    {
      "slug": "tax-examiners-and-collectors-and-revenue-agents",
      "title": "Tax Examiners and Collectors, and Revenue Agents",
      "verdict": "EXPOSED",
      "risk_resistance": 34,
      "median_wage": 62370,
      "overlap": 77,
      "skills_to_close": [
        "Mathematics",
        "Operations Monitoring",
        "Quality Control Analysis",
        "Active Learning"
      ]
    }
  ],
  "license": "https://cookedindex.com/terms"
}