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Accountants and Auditors

The record starts at 23,000 accountants in 1900. Today there are 1.45 million. every figure cited

Drag the slider to travel 149 years of this work.

2026drag to travel through time
19001925195019752000now
Country
2026
Known today as Accountants and Auditors (BLS SOC 13-2011)
US Employment
1.45M
OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.
Median Annual Wage
$83,680
≈ $81,535 in 2024 dollars
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Quill, ledger book, and double-entry bookkeeping

    Pacioli's 1494 codification of double-entry bookkeeping defined the accountant's core cognitive task for the next four centuries: record every transaction twice, keep the ledger balanced, produce a trial balance. Tools were quill and ink, then steel pen, then handwritten ledger books. The work was slow, error-prone, and required extreme care — a single transposition error could take days to find. A Victorian counting house might employ a dozen bookkeepers and clerks copying figures by hand from original invoices into subsidiary ledgers and from subsidiary ledgers into the general ledger, one column at a time.

    Ledger workPaper recordkeeping
  • Comptometer and Burroughs adding machine

    Dorr Felt's Comptometer (patented 1887) and William Seward Burroughs's adding machine (patented 1885, commercially launched 1886) were the first mechanical aids to replace mental arithmetic in the counting house. The Comptometer allowed simultaneous multi-column addition; the Burroughs printed a paper tape. By 1910 both machines were standard equipment in any large accounting department. The machines reduced arithmetic errors and accelerated column totaling, but the ledger-copying and double-entry recording work remained entirely manual.

    Effect on the work

    The Burroughs Adding Machine Company sold over 1 million machines by 1926. The machines made individual accountants and bookkeepers roughly 3-5× faster at arithmetic, enabling smaller accounting staffs to handle larger transaction volumes — but the net effect on profession headcount was roughly neutral through 1920 as business volume grew faster than productivity.

    Mechanical calculationTen-key speed
  • IBM punch-card tabulating machines

    Herman Hollerith's tabulating machine (used in the 1890 Census) found its commercial home in accounting. By the 1920s IBM had refined the system into the 80-column punch card and the 405 Alphabetical Accounting Machine (1934) — the flagship IBM bookkeeping and accounting machine for a generation. Large corporations and the Big Eight accounting firms adopted these systems for payroll, accounts payable, and general-ledger posting. The Social Security Administration's 1935 contract required millions of IBM punch cards for its payroll processing. The machines ran batch jobs: clerks punched cards during the day; the tabulator sorted and printed totals overnight.

    Effect on the work

    Punch-card accounting created a new occupational category — the "tabulating machine operator" — inside accounting departments. It did not shrink the accountant headcount; it shifted clerical accounting labor from ledger-copying to card-punching and expanded the administrative infrastructure around professional accountants.

    Punch-card systemsBatch accounting
  • COBOL and mainframe batch accounting

    COBOL (1960), designed explicitly for business data processing, moved general-ledger, payroll, and accounts-receivable systems from punch-card tabulators to mainframe computers. The Big Eight accounting firms built specialized EDP (Electronic Data Processing) audit practices in the 1960s; the AICPA issued its first auditing standards for computerized records in 1968. For the first time, "auditing" the accounting records required understanding how the underlying software worked — a new technical skill that reshaped what a senior auditor needed to know.

    Mainframe processingComputerized records
  • VisiCalc — the first electronic spreadsheet

    VisiCalc, released for the Apple II on October 17, 1979, was the product that made personal computers relevant to accountants. Developed by Dan Bricklin and Bob Frankston, it turned a twenty-hour-per-week manual budgeting task into fifteen minutes of data entry — or, in the memorable phrase of the era, let you change a single number and watch the whole forecast update instantly. VisiCalc sold more than 700,000 copies in six years. Accountants who had spent careers with green-bar paper and adding machines were the earliest professional adopters; within two years of VisiCalc's launch, the Apple II had become a genuine business tool because of accountants.

    Effect on the work

    VisiCalc did not shrink the accountant headcount — it *expanded* the range of financial analysis that could be delivered economically. A solo CPA with an Apple II and VisiCalc could prepare financial models and projections that previously required a junior analyst team. The productivity gain created more demand for the service, not less.

    Spreadsheet eraModels and analysis
  • Lotus 1-2-3 — spreadsheet capitalism on the IBM PC

    Lotus 1-2-3, released January 26, 1983, was the first killer app of the IBM PC and the reason most businesses bought one. Combining spreadsheet calculation, database querying, and graphical charting in a single program ('1-2-3'), Lotus was the product that moved accounting from adding machines to computers. Within a year it had outsold VisiCalc so thoroughly that VisiCalc became obsolete. Business schools and universities incorporated it into accounting and finance curricula; the generation of accountants entering the workforce from 1984 onward was fluent in Lotus commands in the way prior generations were fluent in ten-key arithmetic. 'If your job was running the budget every few days, it was sheer magic to change some number and hit Return, then see the updated numbers ripple through automagically.'

    Effect on the work

    The Lotus era made individual accountants dramatically more productive at financial modeling and variance analysis. It accelerated the death of large adding-machine-operator pools inside accounting departments. But it also created entirely new categories of billable work — financial modeling, sensitivity analysis, Monte Carlo projections — that had not previously existed. Net effect on the profession: strongly positive in both employment and wages through the 1980s.

    Spreadsheet eraModels and analysis
  • Microsoft Excel — the permanent spreadsheet

    Microsoft Excel launched for Macintosh in September 1985 and for Windows in 1987. By the early 1990s it had displaced Lotus 1-2-3 as the dominant spreadsheet, carried by the Windows platform and its superior GUI. Excel remains the de facto lingua franca of accounting work in 2026 — more than forty years after the first spreadsheet. The profession standardized on Excel for financial modeling, variance analysis, audit workpapers, and management reporting. A 2024 AICPA survey found Excel still the most-used tool among CPAs, ahead of specialized accounting software for most analytical tasks.

    Spreadsheet eraModels and analysis
  • QuickBooks (1992) and SAP R/3 (1992) — the accounting software bifurcation

    Two landmark products launched in the same year — 1992 — and together defined the next two decades of accounting software. QuickBooks (Intuit, 1992, ~$140) democratized SMB bookkeeping: within a decade it claimed 85% of the US small-business accounting software market. SAP R/3 (July 6, 1992) introduced three-tier client-server ERP to large enterprises, integrating financial accounting with manufacturing, supply chain, and HR for the first time in real time. The bifurcation was structural: small-business accounting became a software-enabled function that required less professional time to operate, while large-enterprise accounting became more complex, more integrated, and more SAP-credentialed.

    Effect on the work

    QuickBooks reduced the billable hours junior CPAs spent on routine SMB bookkeeping and monthly-close work — work that had previously required a staff accountant visit. SAP R/3 simultaneously created massive implementation and audit demand among Fortune 500 companies, requiring the Big Eight / Big Six / Big Four to build large ERP advisory practices. The net profession-level effect was roughly neutral through the 1990s: SMB lost; enterprise gained.

    Accounting softwareIntegrated ledgers
  • Sarbanes-Oxley (2002) — the compliance boom

    The Sarbanes-Oxley Act, signed July 30, 2002 in direct response to the Enron / Arthur Andersen collapse, required every US public company to document and test its internal controls annually and have an independent auditor attest to that documentation. Section 404 compliance consumed enormous auditor time — Ernst & Young alone added thousands of audit staff in 2003-2006. The Big Four collectively reported average revenue growth of ~15-20% per year in the immediate post-SOX years. SOX was the largest single regulatory event to expand demand for accountants and auditors since the 1934 SEC Acts. It also created the Public Company Accounting Oversight Board (PCAOB), which regulated auditors as quasi-public-interest entities for the first time.

    Effect on the work

    SOX Section 404 compliance costs for large US public companies were estimated at $1-3 billion annually in the first years of implementation. The Big Four hired aggressively from 2003 to 2008, and accounting school enrollment spiked. The 2008-2009 recession interrupted but did not reverse the long-run compliance demand.

    Compliance systemsControls and audit files
  • Cloud accounting — Xero (2006) and QuickBooks Online

    Xero, incorporated July 6, 2006 in Wellington, New Zealand by Rod Drury and Hamish Edwards, was the first cloud-native accounting platform with automated bank feeds. Listed on the NZX in June 2007, it crossed 500,000 subscribers by 2015. QuickBooks Online had launched in 2004 but wasn't aggressively marketed until the early 2010s; cloud accounting only reached critical mass in the US circa 2010-2012 as broadband penetration made browser-based software viable for small businesses. The cloud shift moved monthly bookkeeping and reconciliation from periodic accounting-firm visits to continuous, machine-assisted processes. Bank feeds automatically imported and categorized transactions; the junior staff-accountant who previously spent two days per month on a client's books could now review a pre-populated ledger in two hours.

    Effect on the work

    Cloud accounting reduced entry-level accounting time per SMB client by an estimated 50-70% for routine bookkeeping and reconciliation tasks. This compressed junior-staff billing rates and shifted the profession's value proposition upward toward advisory, tax planning, and CFO services.

    Accounting softwareIntegrated ledgers
  • AI-powered audit analytics — MindBridge, AppZen, Vic.ai

    MindBridge introduced what it called the world's first commercial AI Auditor platform in late 2016 — analyzing 100% of transactions rather than the traditional 5-10% audit sample, using machine learning to assign risk scores and flag anomalies. AppZen (founded 2015) brought AI to expense-report auditing, catching duplicate submissions and policy violations in real time before reimbursement. Vic.ai (founded 2017 in Oslo) built autonomous accounts-payable processing trained on over one billion invoices. These were the first generation of AI tools that directly automated substantive audit-work tasks — not just bookkeeping entry, but the professional judgment of 'which transactions warrant scrutiny?'

    AI audit toolsPattern detection
  • Big Four generative AI rollout — $6.4B combined investment

    In 2023-2024, all four of the largest accounting firms simultaneously announced billion-dollar AI programs. PwC US: $1 billion over three years (announced May 2023), partnered with Microsoft/OpenAI to integrate generative AI into tax, audit, and consulting. KPMG: $2 billion AI investment over five years, embedding MindBridge AI into its Clara global audit platform; generative AI integrated into Clara for 9,000 auditors in July 2024. EY: $1.4 billion, launching EY.ai and its Agentic Platform in 2025. Deloitte: $2 billion (announced April 2024) for GenAI-enabled audit accelerators and industry incubators. Combined: over $6.4 billion in AI investment from the four firms that audit nearly all Fortune 500 companies. The programs explicitly target entry-level audit and tax work: first-pass document review, workpaper preparation, tax-return data extraction, and audit sampling — all tasks performed by first- and second-year associates.

    Effect on the work

    Big Four campus recruiting declined measurably in 2023-2024 as AI tools began absorbing the work that had previously justified hiring large cohorts of first-year associates. PwC UK announced in 2024 that it was cutting 600 audit and deals staff and shifting resources to AI-augmented delivery. The long-term employment effect is contested, but the first visible headcount reductions associated with AI — not just productivity gains — appeared in this era.

    AI audit toolsPattern detection
  • Generative AI bookkeeping agents — Pilot, Vic.ai autonomous AP, Klarity

    By 2024, a new category of generative-AI-native bookkeeping and accounting services had emerged explicitly targeting the work of staff accountants and bookkeepers. Bench Accounting — which had raised $113 million from Shopify and Bain Capital and touted 35,000+ US customers — shut down without warning on December 27, 2024, stranding customers between Christmas and New Year. (It was acquired by employer.com three days later.) The Bench collapse exposed the limits of the human-bookkeeper-plus-software hybrid model but also highlighted that purely automated bookkeeping without professional review produces systematic errors. The frontier in 2025-2026: Pilot (AI-assisted bookkeeping + human review), Vic.ai's autonomous AP processing, and Klarity (AI contract and revenue recognition) are all pushing further into territory previously requiring a licensed CPA.

    Effect on the work

    The WEF Future of Jobs 2025 report cites accounting, bookkeeping, and payroll clerks as facing ~20% employment decline by 2030 — among the highest rates of any occupation in the study. The accountants and auditors category (the professional level, not clerks) faces a projected 5% decline in the same report, slower but directionally the same.

    AI audit toolsPattern detection
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
BLS Occupational Outlook 2024-34
2034
+6%
BLS Employment Projections — industry-occupation matrix + labor productivity assumptions. The current published outlook for 13-2011 (2024-34 cycle): +6% employment growth ("Faster than average"), 124,200 projected annual openings. The BLS methodology models replacement need (retirements, exits) separately from net growth; even flat-net-growth occupations generate thousands of annual openings. Importantly, this projection is the most optimistic in the cone — it does not model AI adoption at the pace the Big Four AI investments imply. The prior 2023-33 cycle also projected +6%, suggesting the BLS has not materially revised its adoption-curve assumptions since the generative AI shock.
World Economic Forum — Future of Jobs Report 2025
2030
-5%
WEF's January 2025 Future of Jobs Report (survey of 1,000+ employers covering 14 million workers) lists accountants and auditors as the 18th fastest-declining occupation globally by 2030, projecting approximately a 5% decline in employment — the most conservative estimate in this cone but notable because it is the only projection from a forward-looking survey of actual employers rather than a task-exposure model. The companion occupation "Accounting, bookkeeping, and payroll clerks" (BLS equivalent: 43-3031) ranks 7th fastest-declining at ~20% — reinforcing that the displacement is running fastest at the clerical end and slower (but real) at the professional end. WEF cites AI, digital access expansion, and process automation as the drivers.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Frey & Osborne (2013)
2033
94%
of tasks
Gaussian-process classifier on O*NET task features. Frey & Osborne classified accountants and auditors at approximately 0.94 probability of computerisation — among the highest of all 702 occupations studied, consistently cited as ranking within the top 10 most-automatable professional roles. The high score reflects the information-intensive nature of accounting tasks: ledger reconciliation, variance analysis, tax-form preparation, and audit sampling all scored high on the bottleneck criteria because they involve rule-application to structured data rather than creative intelligence or fine motor skill. The sibling SOC Tax Preparers (13-2082) scored even higher at 0.99 — essentially certain. Reported here as -94% to represent the core finding: that virtually all of the tasks that define this occupation are in principle automatable. Note: this is not a 94% employment-loss forecast; it is the probability that the task set is *fully automatable* within ~20 years. The actual employment effect depends on whether demand expands, whether regulation slows adoption, and whether accountants migrate upward into advisory.
Eloundou et al. — "GPTs are GPTs" (2023)
2024
65%
of tasks
GPT-4 task-by-task labeling against O*NET task statements for 13-2011. Accounting occupations score among the highest in the Eloundou et al. dataset — conventional secondary-source citation places accountants and auditors with γ (any exposure) near 0.85 and β (E1 + 0.5×E2) near 0.65. Reported here as -65% to represent β on the cone display. "Exposure" is *capability*, not substitution — it measures the share of tasks an LLM could assist with, treating this as a ceiling on displacement rather than a floor. The high score reflects that accounting tasks are largely knowledge tasks amenable to LLM assistance: data interpretation, document summarization, rule application, and written communication.
McKinsey Global Institute (June 2023)
2030
60%
of tasks
McKinsey's June 2023 "The Economic Potential of Generative AI" report (distinct from the July 2023 US-focused report) identifies Finance and Accounting as one of the functions with the highest share of time that could be automated by generative AI — estimating ~60-70% of finance-function work hours as potentially automatable. Tasks cited include drafting commentary, summarizing financial performance, supporting scenario modeling, checking and paying invoices, performing accounting reconciliations, and generating basic reports. McKinsey's broader scenario analysis models 50% of current work activities reaching automation by 2030-2060 (midpoint 2045), an acceleration of ~10 years vs. prior estimates. Reported here as -60% for the finance/accounting function level, not the SOC-occupation level — interpret as directional.
Goldman Sachs (March 2023)
2030
46%
of tasks
Goldman Sachs March 2023 report "Potentially Large Effects of AI on Economic Growth" (Jan Hatzius et al.) identified Business and Financial Operations occupations — the BLS major group containing 13-2011 — as having among the highest share of tasks automatable by current generative AI. Goldman's 46% figure applies to the administrative/financial cluster broadly; accounting specifically scores near the top of that cluster because of the rule-based, data-intensive nature of bookkeeping, reconciliation, and tax-form preparation. As with Frey/Osborne, this is share of *tasks automatable* at current AI capability, not a projected net employment loss — interpret as ceiling, not floor.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

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

AI is taking this onProcess accounts payable at scale by overseeing AI-autonomous invoice ingestion, PO matching, and approval routing in Vic.ai

Process accounts payable at scale by overseeing AI-autonomous invoice ingestion, PO matching, and approval routing in Vic.ai; handle exception queues for invoices AI cannot auto-approve; manage vendor disputes that require human negotiation.[11],[6]

Tools picking this up
Where your edge is

Shift AP focus from manual invoice processing to vendor relationship management, contract negotiation, and cash-flow forecasting — functions that Vic.ai does not perform. Build process-design skills to configure and retrain AP automation models.

AI is sitting alongside you hereSupervise AI-driven vouching of high-volume transaction populations — evaluating risk-scored anomalies flagged by MindBridge or KPMG Clara rather than manually sampling

Supervise AI-driven vouching of high-volume transaction populations — evaluating risk-scored anomalies flagged by MindBridge or KPMG Clara rather than manually sampling; sign off on or escalate AI findings.[12],[8],[13]

Where your edge is

Learn to read AI risk-score distributions and Benford's Law deviation reports; develop judgment for which flagged exceptions are false positives; retain manual sampling skills for populations where AI coverage is incomplete.

AI is sitting alongside you hereReview AI-generated journal entries and automated transaction codings in QuickBooks Intuit Assist or Sage Copilot before month-end close

Review AI-generated journal entries and automated transaction codings in QuickBooks Intuit Assist or Sage Copilot before month-end close; investigate and override misclassifications; approve final GL postings.[14],[15],[6]

Where your edge is

Build fluency in your firm's AI accounting platform exception queue; develop criteria for when to override versus accept AI-coded entries; document override rationale to satisfy audit trail requirements.

Where this role is heading

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

A direction you could grow

Financial Managers

Financial Managers direct the accounting function rather than execute it — a natural progression as AI absorbs routine execution. The CPA-to-CFO path is the highest-value career transition in accounting (Careery 2026); controllers and senior accountants already possess the P&L literacy, regulatory knowledge, and business-unit relationships that the role requires. AI literacy is now an explicit hiring criterion for CFOs (31% of CFO postings mention AI or ML per Datarails 2026).

What you'd add
What it takesSome new skills to pick up
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The data behind this timeline

On record since1887
Latest tracked employment1,449,500 (US, 2025)
Latest median pay$83,680 (2025)
Outlook+6% by 2034 (BLS Occupational Outlook 2024-34)
View all 27 cited data points
YearUS employmentMedian annual paySource
190023,000n/aESTIMATE
1940180,000n/aESTIMATE
1970n/a$10,500BLS-HISTORICAL-BULLETIN
1999n/a$41,488CENSUS
2003924,640$49,060BLS-OEWS
2004995,910$50,770BLS-OEWS
20051,051,220$52,210BLS-OEWS
20061,092,960$54,630BLS-OEWS
20071,115,010$57,060BLS-OEWS
20081,290,000$59,430BLS-CPS, BLS-OEWS
20091,106,980$60,340BLS-OEWS
20101,072,490$61,690BLS-OEWS
20111,085,150$62,850BLS-OEWS
20121,129,340$63,550BLS-OEWS
20131,168,330$65,080BLS-OEWS
20141,187,310$65,940BLS-OEWS
20151,226,910$67,190BLS-OEWS
20161,246,540$68,150BLS-OEWS
20171,241,000$69,350BLS-OEWS
20181,259,930$70,500BLS-OEWS
20191,280,700$71,550BLS-OEWS
20201,392,000$73,560BLS-OEWS
20211,318,550$77,250BLS-OEWS
20221,402,420$78,000BLS-OEWS
20231,435,770$79,880BLS-OEWS
20241,579,800$81,680BLS-OEWS
20251,449,500$83,680BLS-OEWS
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