Research & Data

The Sealed-Data AI ROI for Financial Managers

Jun 20, 2026

The case for AI on financial manager work usually arrives as a vendor slide: one big number, no math behind it. This page is the opposite — a bottom-up estimate from three sealed public datasets, with every hour and dollar traceable to a cell you can re-pull yourself.

Headline: a financial manager carries about 802 AI-addressable hours a year. At a loaded rate of $112.79/hour that is $90,458 of gross value; after a stated $12,000/year tooling budget, the Year-1 net is $78,458 per full-time employee.

Those numbers are a planning estimate built from defaults, not a quote. The three inputs — task hours, wage, and AI-addressable share — come from sealed public datasets; the three assumptions — a 2,080-hour work year, a 1.3× labor-loading multiplier, and the tooling budget — are stated in the open and adjustable in the calculator at the foot of this page. Change them and every figure recomputes.

Most of the upside here traces to one task — Establish and maintain relationships with individual or business customers or provide…. The Economic Index puts its AI-addressable share at 39.1%, so it contributes 76 hours and $8,606 on its own; the table further down shows where the rest comes from.

Who this is for

Executives, operations and finance leaders, and anyone building the business case for an AI assistant aimed at financial managers. If you need a number you can defend in a budget meeting, with a citation behind every cell, this is built for you.

How automatable is financial manager work, really?

The Anthropic Economic Index puts this occupation's observed AI-exposure at 39.1% — the share of financial manager task interactions in real Claude.ai usage that fell into an automation or augmentation pattern. Read it as "this is how people are already using AI here," not "this much of the job is automatable."

At the task level the picture is sharper. O*NET lists 17 distinct work tasks for this role. Of those, 5 have their own task-specific usage measurement in the Anthropic Economic Index; the remainder fall back to the occupation-level exposure above, and every row in the table below is labelled with which source it used (aei_task for a task's own data, aei_occ for the occupation fallback). We never silently mix the two.

For scale: BLS counts 818,620 people employed in this occupation nationally, at a mean wage of $180,470 a year. That wage is the spine of the dollar figures here.

Task by task: where the hours sit

Each row is one ONET task. Importance and Relevance are sealed ONET ratings; modeled hours allocates a 2,080-hour year across tasks in proportion to Importance×Relevance; AI-addressable share is the Anthropic Economic Index usage figure; hours saved and gross value follow from them. The table shows the 14 highest-value addressable tasks.

O*NET task	Importance (1–5)	Relevance	Modeled hrs/yr	AI-addressable share	Source	Hrs saved/yr	Gross value/yr
Establish and maintain relationships with individual or business customers or…	4.3	83.9%	195	39.1%	`aei_occ`	76	$8,606
Recruit staff members.	3.78	91.3%	187	39.1%	`aei_occ`	73	$8,234
Plan, direct, or coordinate the activities of workers in branches, offices, or…	4.13	79.8%	179	39.1%	`aei_occ`	70	$7,861
Oversee the flow of cash or financial instruments.	4.2	72.3%	164	39.1%	`aei_occ`	64	$7,241
Oversee training programs.	3.47	79.2%	149	39.1%	`aei_occ`	58	$6,553
Evaluate data pertaining to costs to plan budgets.	3.61	70.1%	137	39.1%	`aei_occ`	54	$6,046
Establish procedures for custody or control of assets, records, loan collateral,…	4.38	52.2%	124	39.1%	`aei_occ`	48	$5,459
Evaluate financial reporting systems, accounting or collection procedures, or…	3.82	64.1%	133	35.8%	`aei_task`	47	$5,346
Examine, evaluate, or process loan applications.	3.98	44.6%	96	46.7%	`aei_task`	45	$5,053
Prepare financial or regulatory reports required by laws, regulations, or boards…	4.04	52%	114	39.1%	`aei_occ`	45	$5,019
Approve, reject, or coordinate the approval or rejection of lines of credit or…	4.09	47.6%	106	39.1%	`aei_occ`	41	$4,647
Network within communities to find and attract new business.	3.76	49.9%	102	39.1%	`aei_occ`	40	$4,478
Develop or analyze information to assess the current or future financial status…	4.14	43.4%	97	37.2%	`aei_task`	36	$4,083
Prepare operational or risk reports for management analysis.	3.65	43.3%	86	39.1%	`aei_occ`	34	$3,778

Reading one row: the top task above is modeled at 195 hours/year; the Economic Index puts its AI-addressable share at 39.1%, so 76 hours are addressable, worth $8,606 at the loaded rate. Nothing is rounded up: hours saved is hours × share, full stop.

Every step of the dollar math

No black box. Here is every step:

Loaded hourly cost = (mean annual wage $180,470 ÷ 2,080 hours) × 1.3 loading = $112.79/hour. The 1.3× covers benefits, payroll tax, and overhead on top of base pay.
Addressable hours saved = the sum of (task hours × AI-addressable share) across the role's addressable tasks = 802 hours/year.
Gross annual value = 802 hours × $112.79 = $90,458/year.
Net Year-1 ROI = $90,458 gross − $12,000 stated tooling budget = $78,458 per FTE.

The break-even point is worth stating plainly: this role's AI-addressable work is worth $90,458 a year at the loaded rate, so any tooling spend below $90,458 per FTE is net-positive on hours alone — before any quality, speed, or capacity upside.

Method, provenance, and caveats

The single most important caveat: the Anthropic Economic Index measures observed Claude.ai usage patterns, not a theoretical "this much of the job can be automated." A high share means practitioners are already routing that task to AI; a low share can mean the task is hard to automate or simply that few people have tried. Treat these as a grounded default, then replace them with your own automatable share in the calculator — that is exactly what it is for.

The hour-allocation heuristic. O*NET does not publish hours per task, so we allocate the work year in proportion to each task's Importance×Relevance. It is a transparent, defensible split, not a stopwatch study; if you know your team spends disproportionate time on one task, the calculator lets you see the table and reason about it.

Why Importance×Relevance? O*NET rates each task on how important it is to the role and how relevant it is to a typical worker (the share who actually perform it). Multiplying the two ranks tasks by real time-pull — a high-importance task nearly everyone does outranks a niche one — which is precisely the weighting you want when dividing a fixed work-year. It is the most defensible allocation available short of a per-employer time study, and any row you disagree with is editable in the calculator below.

The wage is a national mean. BLS OEWS reports a $180,470 mean across all employers nationally (median $161,700). Your local, loaded cost may differ; set your own wage to localize the dollars.

What this is. A sourced, reproducible first estimate to start a buying conversation — not a guarantee of savings. The value of the method is that every input is sealed and checkable, so a skeptic can audit it rather than argue with a vendor's slide.

Sources

O*NET 30_3 — task statements and Importance/Relevance ratings. This page includes information from O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. License: CC BY 4.0. Sealed snapshot 251d3df7766aa152, evidence 9e12c3890449ec21.
BLS OEWS May 2024 — occupational mean wage and employment. Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS), May 2024. License: Public Domain (17 U.S.C. §105 — U.S. Government work). Sealed snapshot d032d178d7a95cdc, evidence 1237fd6700a000e9.
Anthropic Economic Index — observed AI task/occupation exposure (Claude.ai usage). Source: Anthropic Economic Index (https://huggingface.co/datasets/Anthropic/EconomicIndex), released under CC-BY. Reflects observed Claude.ai usage patterns, not a measure of theoretical automatability. Pinned to commit db51ecb12920, sealed snapshot c6870bb780772e4f, evidence 66b4254a97b1e852.

Every numeral on this page is reproducible from those three sealed snapshots by re-running our open model — there is no hand-entered or estimated figure in the tables or the math.

FAQ

Is "39.1% AI exposure" the share of the job AI will replace?
No. It is the share of measured Claude.ai task interactions for this occupation that showed an automation or augmentation pattern — an observed-usage signal, not a replacement forecast.

Where does the $180,470 wage come from?
BLS Occupational Employment and Wage Statistics, May 2024 — the national mean annual wage for this occupation, used verbatim from the sealed snapshot.

How do you get 802 hours saved?
For each addressable task we multiply its modeled annual hours by its AI-addressable share, then sum. Modeled hours allocate a 2,080-hour year by each task's O*NET Importance×Relevance.

Can I change the assumptions?
Yes — the calculator below this article lets you set the wage, the work-year hours, the labor-loading multiplier, the tooling budget, and each task's automatable share. The net ROI updates live.

Why these three data sources?
O*NET gives the tasks, BLS gives the labor cost, and the Anthropic Economic Index grounds "how much is AI-addressable" in real usage rather than a guess. Each is public and pinned to a sealed snapshot.

What this looks like in production

The math above is the business case; the next step is watching it run. USTA builds the agentic workflows that actually do this financial manager work — drafting, routing, reconciling, and updating the systems of record — so the addressable hours above convert into capacity you keep instead of headcount you chase.

See how AI agents handle financial managers → — or bring this page's numbers to a scoping call and we will pressure-test them against your actual task mix.

More automation-ROI breakdowns

Same sealed O*NET + BLS + Anthropic Economic Index method, other roles:

Make the model yours

The interactive calculator below loads this role's sealed task table. Adjust the wage, hours, loading, tooling budget, or any task's automatable share, and watch the net Year-1 ROI move. The defaults are the sourced figures above; the controls are yours.

Loading the interactive ROI calculator…