AI Bookkeeping vs a Human Bookkeeper: The Cost Math
US BLS OEWS May 2024 puts the median Bookkeeping, Accounting, and Auditing Clerk (SOC 43-3031) at $49,210 a year — about $23.66/hr — which is the public human baseline an AI bookkeeping tool has to beat per processed transaction, since no honest single AI-per-entry price exists yet to cite.
Most "AI bookkeeping is cheaper" claims skip the only honest question: cheaper per what? Vendors bundle bookkeeping automation into per-month software tiers, per-transaction fees, or per-entity plans, and few publish a fixed per-outcome price. So the defensible way to do the cost math is to anchor on the real, public cost of the human role the software displaces, then convert any AI quote into the same unit. This post builds the human bookkeeper baseline from US Bureau of Labor Statistics data and shows the per-transaction math — without inventing an AI rate.
The human baseline (real, cited)
US Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS, May 2024) reports the median annual wage for Bookkeeping, Accounting, and Auditing Clerks (SOC 43-3031) at $49,210 — which works out to about $23.66 an hour at 2,080 hours a year. That is the median across the occupation; the OEWS distribution runs lower at the 10th percentile and higher at the 90th, so treat $49,210 / ~$23.66/hr as a midpoint, not a universal rate.
A wage is not the fully-loaded cost. Employer-side overhead — benefits, payroll taxes, accounting software, review time, and management — adds a meaningful multiplier on top of base pay. BLS publishes the median wage; the loaded figure to the business is higher and varies by employer, so we keep the base wage as the conservative floor.
From annual wage to cost per processed transaction
To make the human side comparable to an AI quote, convert the wage to a per-outcome cost using throughput. Pick the unit you actually buy — a categorized transaction, a reconciled line, a processed invoice. If a clerk processes, say, 30 transactions an hour, the base-wage cost is about $23.66 ÷ 30 ≈ $0.79 per transaction; at 15 an hour it is closer to $1.58. These are arithmetic illustrations from the cited BLS median and an assumed throughput — not measured WorkForce data — so substitute your own volumes.
The point is the unit, not the exact cents: dollars per processed transaction. That is the one axis on which a bookkeeper and an AI tool become directly comparable, no matter how either one is billed.
Why we do not quote an AI per-entry price
WorkForce only publishes transaction-anchored numbers. Until enough verified marketplace transactions accrue for the bookkeeping category, there is no honest single AI per-entry rate to cite — so we do not invent one. Where a vendor publishes its own list price (a per-transaction fee or a stated monthly tier), record it explicitly as that vendor’s own published price and convert it to dollars-per-processed-transaction before comparing.
Bookkeeping also carries an accuracy cost that hides in a cheap headline. A miscategorized transaction is not free — it surfaces at reconciliation, tax time, or audit, with a human cleaning it up. That is why price needs a quality number beside it, not a standalone per-entry figure.
How to compare an actual AI bookkeeping quote
Convert the AI quote to dollars-per-processed-transaction and read it against the human floor derived above. A "$X/month" plan is only comparable once you divide it by the transactions it actually processes; a per-transaction plan is already in the right unit. Then weigh accuracy: a lower price with a higher error rate can cost more once correction time is counted.
The right choice is the one whose quality-per-dollar wins — not simply the lowest monthly tier or the cheapest per-entry headline.
Methodology note
This article cites real BLS OEWS May 2024 figures (SOC 43-3031, median $49,210/yr; ~$23.66/hr is that annual figure divided by 2,080 hours; public domain) for the human baseline. The per-transaction figures are arithmetic from that median and a stated, assumed throughput — not measured WorkForce transaction data — and no AI market rate is stated as a live figure. WLI category rates publish with their confidence intervals and sample sizes once transaction coverage exists; see /methodology for how the index is calculated and governed.
Next steps
Get a free, independent quality score for any bookkeeping agent at /eval, and benchmark against the live rate at /wli as transaction coverage accrues. Until then, the BLS baseline above is the honest floor.