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General and Operations Managers

Scrub through 195years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
1850187519001925195019752000now
Country
2026
Known today as General and Operations Manager (BLS SOC 11-1021)
US Employment
3.50M
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
$105,770
≈ $103,058 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.

  • Telegraph + operational timetables + the organizational chart

    The railroad general superintendent ran the first truly distributed American enterprise through three instruments: the telegraph (for real-time communication across hundreds of miles), operational timetables (standardized rules for train movements that could be followed without direct supervision), and the organizational chart (a formal hierarchy of accountability invented specifically to run railroads). Before the telegraph, management meant physical presence; the superintendent had to walk the property to know what was happening. The telegraph made coordination at distance possible for the first time — and created the first class of professional managers whose authority was transmitted by wire rather than in person. Alfred D. Chandler documented this as the founding moment of the managerial revolution in American capitalism.

    Work toolChanging equipment

  • Scientific management — time-and-motion studies, standard operating procedures

    Frederick Winslow Taylor's Principles of Scientific Management (1911) transformed the factory superintendent's job from supervision-by-experience to management-by-measurement. Taylor's core claim was that there was one best way to perform any task, discoverable by systematic observation and timing — and that management's job was to find it, codify it into standard procedures, and enforce it. The Gilbreths added motion study. Henry Gantt added the Gantt chart (1910) for project scheduling. Frank and Lillian Gilbreth filmed worker motions and analyzed them frame by frame. The American Management Association was founded in 1923 to professionalize and disseminate the new science. For the working manager, this era meant replacing intuition with paperwork: time-study sheets, production standards, exception reports, and the first management reporting systems that were not just financial ledgers.

    Work toolChanging equipment

  • Telephone + carbon-copy memos + the corporate filing system

    The 1930s-1950s corporate manager ran the organization through three paper technologies: the telephone (real-time communication within and across buildings), the carbon-copy memo (a written record of every instruction, distributed simultaneously to multiple recipients), and the filing cabinet (an organizational memory that could be retrieved by anyone with access, not just the manager who made the original decision). These tools created the layer of administrative support — secretaries, stenographers, filing clerks — that defined the mid-century corporate office. McGregor's Theory X/Y (1960) was an argument about whether the people doing the work under this apparatus were shirkers who needed tight control or capable adults who needed autonomy; the apparatus itself was not in question. Mintzberg's 1973 'The Nature of Managerial Work' documented what managers actually did in this era: short bursts of activity, constant interruptions, a preference for verbal over written communication — a pattern that has not materially changed since.

    Work toolChanging equipment

  • Mainframe MIS + management information systems + the IBM System/360

    IBM's System/360 family (announced April 7, 1964; shipped 1965) and the management information systems movement of the 1960s-70s brought computing to business management for the first time. Large corporations could now run payroll, inventory, and production reporting on their own hardware rather than through punch-card bureau services. The management information system promised what scientific management had attempted with paper: a real-time view of the organization's vital signs, delivered to the manager's desk without walking the floor. In practice, MIS reports were typically batch-processed, available only to top management, and required a dedicated IT department to produce. The manager's relationship to data in this era was consumption, not manipulation: you received the report the IT department had decided to run, on the schedule they had decided to run it. The personal computer would change that.

    Mainframe processingComputerized records

  • Spreadsheet era — VisiCalc (1979), Lotus 1-2-3 (1983), Excel (1985)

    VisiCalc, introduced by Dan Bricklin and Bob Frankston in October 1979 for the Apple II, gave the manager something no previous tool had offered: personal analytical power. For the first time, a department manager could build their own budget model, run their own scenario analysis, and produce their own financial reports without going through an IT department or an accountant. Lotus 1-2-3 (January 1983) made the IBM PC the dominant business computer; Microsoft Excel (August 1985, initially Macintosh) completed the transition. The spreadsheet did not replace management jobs — it expanded what a manager could do alone. It also created a new competency requirement: managers who could not build a spreadsheet model were disadvantaged relative to those who could. The 'spreadsheet jockey' became a valued management archetype in the 1980s and 1990s.

    Effect on the work

    Spreadsheets eliminated most of the typing-pool and clerical-calculation support infrastructure that had served the management layer, while creating a significant increase in the analytical work managers were expected to do directly. The number of management positions continued to grow; the administrative support apparatus shrank.

    Spreadsheet eraModels and analysis

  • ERP systems — SAP R/3 (1992), Oracle ERP (1990s), the balanced scorecard (1992)

    SAP R/3, released in 1992, put enterprise resource planning software on client-server architecture for the first time — within a decade, it was running the back-office operations of most of the Fortune 500. ERP gave the operations manager a unified view of financials, inventory, purchasing, HR, and production in a single system, replacing the fragmented patchwork of departmental systems that had accumulated since the mainframe era. In the same year, Robert Kaplan and David Norton published 'The Balanced Scorecard' in Harvard Business Review (January 1992), giving the management class a framework for translating strategy into four linked measurement domains. The combination of ERP data and scorecard structure defined the management operating system of the 1990s and early 2000s: a regular management review of a handful of KPIs, drawn from the ERP, against the strategic targets set in the annual planning cycle.

    Accounting softwareIntegrated ledgers

  • Email + SaaS dashboards + Six Sigma — Tableau (2003), Looker (2011)

    By 2000, email had displaced the carbon-copy memo entirely and was well on its way to displacing the telephone for most internal coordination. The management job had acquired a new structural feature: the inbox. Tableau Software (founded 2003) pioneered self-service business intelligence with a drag-and-drop interface that let operations managers build their own dashboards without IT; Looker (2011) brought SQL-based analytics to the browser. Six Sigma, originally developed at Motorola (1986) and evangelized at scale by Jack Welch at GE through the mid-1990s, matured into the standard quality-management framework of the 2000s — a manager without Six Sigma certification was increasingly disadvantaged in manufacturing and process-intensive services. The net effect: the analytical sophistication expected of an operations manager rose substantially, but the tools to meet that expectation arrived almost simultaneously.

    Work toolChanging equipment

  • Cloud workflow platforms — Slack (2013), Asana (2012), Zoom (2013), OKRs at scale

    Slack (launched publicly August 2013) redefined team coordination from email threads to persistent group channels — flattening the hierarchy of information access and creating a new management challenge: the always-on notification stream. Asana (2012) gave operations managers a portfolio view of team work in a single system. Zoom (2013) eventually completed the shift away from conference calls to video. John Doerr's 'Measure What Matters' (2018) popularized OKRs (Objectives and Key Results), the goal-setting system originally developed at Intel and deployed at Google, across the broader management class. By 2020, the operations manager's tool stack had expanded from the 1990s ERP-and-email pair to a full suite of SaaS coordination layers — each producing notifications, reports, and status updates that consumed increasing time. The coordination overhead of modern management was well-documented before AI arrived to reduce it.

    Work toolChanging equipment

  • AI management layer — Microsoft 365 Copilot (2023), Asana AI (2025), Tableau Pulse (2024), Agentforce Operations (2026)

    Microsoft 365 Copilot (general availability November 1, 2023) was the first AI tool deployed at enterprise scale that directly targeted the operations manager's core coordination overhead: meeting summaries, status report generation, email synthesis, and document drafting. Forrester's Total Economic Impact study (2024) found Copilot cuts meeting recap time from 30 minutes to 5 minutes per meeting and saves Vodafone employees 3+ hours per week. Tableau Pulse (2024) delivers proactive AI-generated KPI anomaly alerts directly to Slack and Teams without requiring the manager to log into a dashboard. Asana AI Smart Status (2025) auto-generates weekly stakeholder updates from task data. Salesforce Agentforce Operations (GA April 2026) deploys AI agents that autonomously handle vendor onboarding, purchase-order routing, and back-office compliance workflows — cutting cycle times 50-70% and eliminating 80% of manual data entry. The administrative defense of the operations manager role has materially collapsed: the coordination and reporting work that once consumed 30-40% of a manager's week is increasingly automated. What remains is the accountability and judgment layer, which AI cannot bear. Employment continues to grow.

    Effect on the work

    BLS projects +6% net employment growth 2023-2033 despite the automation of the administrative task layer — consistent with the thesis that AI is augmenting the role's strategic scope rather than contracting total employment. The Microsoft Work Trend Index 2024 found that managers using Copilot report being asked to do MORE strategic work as a result of reclaimed time.

    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 Handbook 2024-34
→ 2034
+7%
BLS Employment Projections — 2024-34 cycle: +7% growth ("Faster than average"), cited via O*NET 29.3 employment projections. Projected growth is consistent with the 2023-33 cycle and driven by the same structural factors: establishment growth, services expansion, and the continued increase in the number of US businesses relative to the population. The 2024-34 cycle projects 308,700 annual openings across Top Executives (11-1011 + 11-1021 combined in BLS OOH), making this one of the highest-volume occupational categories for job openings in the entire BLS projection.
BLS Occupational Outlook Handbook 2023-33
→ 2033
+6%
BLS Employment Projections — industry-occupation matrix + replacement-need modeling. 2023-33 cycle: +6% growth ("Faster than average"), 308,700 projected annual openings. BLS attributes growth primarily to growth in the number of US establishments — each new business or business unit requires at least one general manager — and to expansion in services, healthcare administration, and technology-sector management. The +6% net growth figure understates the absolute scale: at 3.37M in 2023, +6% represents ~200,000 net new positions over the decade, plus ~300,000 annual replacement openings as the large existing cohort retires.
McKinsey Global Institute (2023)
→ 2030
+5%
McKinsey's July 2023 'Generative AI and the Future of Work in America' projected a shift in labor demand from administrative and coordination work toward jobs requiring higher cognitive and interpersonal skills. Management occupations as a category were expected to hold or grow modestly: the report modeled AI eliminating the routine coordination and reporting tasks that currently constitute a large fraction of management work but projected net employment roughly flat to slightly positive for the occupational category as a whole, as demand for strategic and people-leadership work expands to fill the reclaimed time. The +5% figure reflects McKinsey's central estimate for management occupations in the US through 2030.
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.
Eloundou et al. — "GPTs are GPTs" (2023)
→ 2030
10%
of tasks
GPT-4 task-by-task labeling against O*NET task statements. Management occupations in the Eloundou framework score in the medium-to-high LLM exposure range — the documentation, communication, and information-synthesis tasks that constitute 30-40% of a GM's workweek are classified as E1 or E2 (LLM-exposed). However, Eloundou explicitly frames high exposure as augmentative rather than substitutive for roles where accountability and judgment are primary: the LLM performs the administrative tasks faster, freeing the human for the judgment tasks the LLM cannot perform. The +10% projection reflects the Future History augmentation-upside interpretation: occupations with high administrative LLM-exposure and high human-advantage judgment cores are more likely to see expanded scope than contraction. Consistent with BLS +6%.
Goldman Sachs Global Investment Research (2023)
→ 2033
8%
of tasks
Goldman Sachs' March 2023 report 'The Potentially Large Effects of Artificial Intelligence on Economic Growth' estimated that 32% of US work tasks could be automated by AI, with management-heavy white-collar occupations disproportionately exposed. Goldman's sector analysis identified 'managers' as a category with meaningful task-level AI exposure — particularly the documentation, status reporting, and information-synthesis functions. The -8% figure represents a Future History interpretation of Goldman's downside scenario for the occupation: if AI automation of the administrative task layer does translate into headcount reductions rather than augmentation, the lower bound of the cone is a modest net employment contraction. This is the pessimistic-but-plausible scenario and is not the BLS central forecast.
Frey & Osborne (2013) — Oxford Martin School
→ 2030
5%
of tasks
Gaussian-process classifier on O*NET task features. General Managers were classified as LOW computerization risk in the Frey-Osborne framework — the social intelligence requirements (negotiating with employees, vendors, and regulators; motivating a team; representing the organization to external stakeholders), fine motor judgment, and creative problem-solving under ambiguity placed GMs well below the 50% automation probability threshold. Frey & Osborne's Table 1 Appendix lists General and Operations Managers as having a 16% computerisation probability — nearly the lowest of any management occupation. The -5% projection here represents the lower bound of the uncertainty cone: F&O's implicit prediction is effectively stable employment at the margins, with minor displacement of the most-routine administrative tier. The actual outcome (strong employment growth) suggests even the F&O low-risk characterization underestimated growth dynamics.
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 sitting alongside you hereRun a leaner meeting operating cadence using Microsoft 365 Copilot — reviewing AI-generated pre-meeting briefings assembled from Teams threads and email history, using Copilot-generated real-time transcripts and action-item lists during calls, and dispatching AI-drafted follow-up summaries to stakeholders within minutes of meeting end rather than hours.

Run a leaner meeting operating cadence using Microsoft 365 Copilot — reviewing AI-generated pre-meeting briefings assembled from Teams threads and email history, using Copilot-generated real-time transcripts and action-item lists during calls, and dispatching AI-drafted follow-up summaries to stakeholders within minutes of meeting end rather than hours.[8],[12],[2]

Where your edge is

AI handles the logistics of meeting intelligence — recaps, action items, follow-ups. Your leverage is in the decisions those meetings generate: which priorities to realign, which conflicts to resolve, which stakeholders to bring in. Focus meeting time on the judgment calls AI flags but cannot make. Own the "so what" layer and delegate the documentation to Copilot.

AI is sitting alongside you hereGovern the department's agentic back-office workflow layer using Agentforce Operations — configuring AI agents for purchase-order routing, vendor onboarding, compliance-document verification, and approval-chain orchestration

Govern the department's agentic back-office workflow layer using Agentforce Operations — configuring AI agents for purchase-order routing, vendor onboarding, compliance-document verification, and approval-chain orchestration; setting exception-handling rules for cases requiring human judgment; and monitoring agent audit trails to ensure process integrity and accountability.[13],[6],[2]

Where your edge is

The GM who understands agentic workflow configuration becomes a force-multiplier: a team of 8 running AI agents can process the volume that previously required 20. Invest in understanding which back-office processes are agent-ready (structured, rule-based, high-volume) versus which require judgment. Design the exception-handling framework yourself — that's where your organizational knowledge is irreplaceable.

AI is sitting alongside you hereManage team and project portfolio status through AI-generated smart summaries in Asana — configuring Asana AI Teammates to handle routine task routing and status update collection, reviewing AI-synthesized portfolio health reports that flag blockers and milestone slippage, and concentrating human attention on the cross-team conflicts and priority trade-offs that automation cannot resolve.

Manage team and project portfolio status through AI-generated smart summaries in Asana — configuring Asana AI Teammates to handle routine task routing and status update collection, reviewing AI-synthesized portfolio health reports that flag blockers and milestone slippage, and concentrating human attention on the cross-team conflicts and priority trade-offs that automation cannot resolve.[14],[4],[2]

Where your edge is

AI status management eliminates the coordination tax — the hours spent chasing updates, aggregating status emails, and writing progress summaries. Reinvest that time in the organizational interventions that move projects: unblocking teams stuck on political or resource conflicts, resetting scope when reality has drifted from the plan, and coaching team leads on the judgment calls AI surfaces but cannot make.

Where this role is heading

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

A direction you could grow

Financial Managers

General and Operations Managers who own P&L and budget accountability already perform much of the work that defines a Financial Manager — financial performance review, budget planning, investment prioritization, and reporting to the CFO. The pivot is natural for GMs who want to specialize in the financial dimension of operations rather than the full general-management portfolio. The primary skill gap is depth in financial modeling, accounting standards (GAAP/IFRS), treasury, and the regulatory compliance knowledge that CFO-track roles require. AI is increasing demand for Financial Managers who can interpret model outputs and communicate financial strategy — the human judgment and communication skills a GM brings are directly transferable.

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

On record since1841
Latest tracked employment3,503,020 (US, 2025)
Latest median pay$105,770 (2025)
Outlook+6% by 2033 (BLS Occupational Outlook Handbook 2023-33)
View all 28 cited data points
YearUS employmentMedian annual paySource
1900360,000n/aESTIMATE
1930800,000n/aESTIMATE
19601,750,000$7,500ESTIMATE
19802,750,000$27,000CENSUS-DECENNIAL, ESTIMATE
20002,010,000$55,000BLS-OEWS
20031,892,060$72,800BLS-OEWS
20041,752,910$77,420BLS-OEWS
20051,663,810$81,480BLS-OEWS
20061,663,280$85,230BLS-OEWS
20071,655,410$88,700BLS-OEWS
20081,697,690$91,570BLS-OEWS
20091,689,680$92,650BLS-OEWS
20101,980,000$89,190BLS-OEWS
20111,805,030$95,150BLS-OEWS
20121,899,460$95,440BLS-OEWS
20131,973,700$96,430BLS-OEWS
20142,049,870$97,270BLS-OEWS
20152,145,140$97,730BLS-OEWS
20162,188,870$99,310BLS-OEWS
20172,212,200$100,410BLS-OEWS
20182,290,000$100,410BLS-OEWS
20192,400,280$100,780BLS-OEWS
20202,347,420$103,650BLS-OEWS
20212,984,920$97,970BLS-OEWS
20223,376,680$98,100BLS-OEWS
20233,370,000$101,280BLS-OEWS
20243,500,000$103,020BLS-OEWS
20253,503,020$105,770BLS-OEWS
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