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Time Machine

General and Operations Managers

Scrub through 195 years 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.

Telegraph + operational timetables + the organizational chartTelegraph + operational timetables + the organizational chart
Scientific management — time-and-motion studies, standard operating proceduresScientific management — time-and-motion studies, standard operating procedures
Telephone + carbon-copy memos + the corporate filing systemTelephone + carbon-copy memos + the corporate filing system
Mainframe MIS + management information systems + the IBM System/360Mainframe MIS + management information systems + the IBM System/360
ERP systems — SAP R/3 (1992), Oracle ERP (1990s), the balanced scorecard (1992)
Cloud workflow platforms — Slack (2013), Asana (2012), Zoom (2013), OKRs at scale
AI management layer — Microsoft 365 Copilot (2023), Asana AI (2025), Tableau Pulse (2024), Agentforce Operations (2026)
Spreadsheet era — VisiCalc (1979), Lotus 1-2-3 (1983), Excel (1985)Spreadsheet era — VisiCalc (1979), Lotus 1-2-3 (1983), Excel (1985)
Email + SaaS dashboards + Six Sigma — Tableau (2003), Looker (2011)
1850187519001925195019752000now

Drag the dot, click anywhere on the track, or use ← → arrow keys (Shift for 10-year jumps, PgUp/PgDn for 25).

2026
Known today as General and Operations Manager (BLS SOC 11-1021)
US Employment
3.50M
BLS OEWS May 2024 estimate per O*NET 29.3 employment data for SOC 11-1021. The ~3.5 million figure makes this the single largest detailed management occupation in the US workforce and one of the top-10 largest detailed occupations across all sectors. The median annual wage of $103,020 in 2024 (BLS) reflects wide industry dispersion: finance/insurance GMs earn $130k+, retail and food-service GMs earn $60-75k. The figure is used as the baseline for the BLS 2024-34 projection cycle.
Median Annual Wage
$103,020
Source: BLS-OEWS
AI management layer — Microsoft 365 Copilot (2023), Asana AI (2025), Tableau Pulse (2024), Agentforce Operations (2026)Tool of the era · 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.

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.

Projection cone · present → 2034

What credible sources project

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

Eloundou et al. — "GPTs are GPTs" (2023)
→ 2030
+10%
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 New Bearings 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%.
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.
Frey & Osborne (2013) — Oxford Martin School
→ 2030
-5%
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.
Goldman Sachs Global Investment Research (2023)
→ 2033
-8%
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 New Bearings 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.
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 here

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]

Tools picking this up
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.

Get started with these tools
AI is sitting alongside you here

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]

Tools picking this up
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 here

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]

Tools picking this up
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
Present-day sources

Sources

Every claim on this page traces back to one of the following. Updated 2026-05-23.

  1. [1]Eloundou et al. 2024 — GPTs are GPTs (Science)· accessed 2026-05-23
  2. [2]O*NET 30.3 — General and Operations Managers (11-1021.00)· accessed 2026-05-23
  3. [3]BLS — Top Executives Occupational Outlook Handbook (308,700 annual openings, 2024-2034)· accessed 2026-05-23
  4. [4]McKinsey — State of AI: How Organizations Are Rewiring to Capture Value (2025)· accessed 2026-05-23
  5. [5]McKinsey — Superagency in the Workplace: Empowering People to Unlock AI's Full Potential (2025)· accessed 2026-05-23
  6. [6]McKinsey — Agentic and Gen AI in Operations (2025)· accessed 2026-05-23
  7. [7]HBR — How AI Is Redefining Managerial Roles (July 2025)· accessed 2026-05-23
  8. [8]Forrester — Total Economic Impact of Microsoft 365 Copilot: up to 116% ROI, 5-min meeting recaps, 3+ hrs/week saved (2024)· accessed 2026-05-23
  9. [9]Salesforce — Agentforce Operations GA: cuts back-office cycle times 50-70%, eliminates 80% of manual data entry (April 2026)· accessed 2026-05-23
  10. [10]Glean — Surpasses $200M ARR; enterprise AI search cuts 20% of internal support requests (December 2025)· accessed 2026-05-23
  11. [11]Workday — Illuminate Expands with New AI Agents for HR, Finance, and Industry (September 2025)· accessed 2026-05-23
  12. [12]Otter.ai — Forrester TEI: AI meeting intelligence saves 5.3 hours per user per week (2025)· accessed 2026-05-23
  13. [13]Salesforce — Agentforce Operations GA: cycle times cut 50-70%, manual data entry eliminated by 80%, audit trails per action (April 2026)· accessed 2026-05-23
  14. [14]Asana — Smart Status AI: generates stakeholder updates by synthesizing task completion, blockers, and timeline data; AI Teammates accept and respond to task assignments (GA 2025)· accessed 2026-05-23
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