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Time Machine

Computer and Information Systems Managers

Scrub through 74 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.

Mainframe batch computing — IBM 1401 (1959), System/360 (1964)Mainframe batch computing — IBM 1401 (1959), System/360 (1964)
Management Information Systems (MIS) — IBM System/370 (1970), minicomputers (DEC PDP-11)Management Information Systems (MIS) — IBM System/370 (1970), minicomputers (DEC PDP-11)
PC and LAN era — IBM PC (1981), Ethernet, Novell NetWare (1983), Cisco routers (1984)PC and LAN era — IBM PC (1981), Ethernet, Novell NetWare (1983), Cisco routers (1984)
Internet era — NCSA Mosaic (1993), Netscape (1994), SAP R/3 (1992), Y2K remediationInternet era — NCSA Mosaic (1993), Netscape (1994), SAP R/3 (1992), Y2K remediation
Google SRE (2003) + virtualization (VMware 2001) + first cloud (AWS S3 2006, EC2 2006)Google SRE (2003) + virtualization (VMware 2001) + first cloud (AWS S3 2006, EC2 2006)
DevOps movement (first DevOpsDays 2009) + Azure GA 2010 + multi-cloud managementDevOps movement (first DevOpsDays 2009) + Azure GA 2010 + multi-cloud management
Cloud-native + CISO board elevation + digital transformation mandateCloud-native + CISO board elevation + digital transformation mandate
Generative AI governance — ChatGPT enterprise (2023), Chief AI Officer titles, AI security surfaceGenerative AI governance — ChatGPT enterprise (2023), Chief AI Officer titles, AI security surface
19752000now

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 CIO / CTO / CISO / Chief AI Officer / VP Engineering (BLS SOC 11-3021)
US Employment
667K
BLS Employment Projections matrix baseline for SOC 11-3021, 2024. This is the authoritative employment anchor for the 2024-34 BLS projection cycle. The ~667k figure represents one of the fastest-growing management occupations in the BLS survey, reflecting the expansion of technology leadership roles across all industry sectors — not just tech companies but healthcare, financial services, manufacturing, retail, and government organizations with growing digital operations.
Median Annual Wage
$176,830
Source: BLS-OEWS
Generative AI governance — ChatGPT enterprise (2023), Chief AI Officer titles, AI security surfaceTool of the era · Generative AI governance — ChatGPT enterprise (2023), Chief AI Officer titles, AI security surface

OpenAI released ChatGPT on November 30, 2022, and within 6 months it was the fastest-growing consumer application in history with over 100 million users. Enterprise adoption followed rapidly: Microsoft 365 Copilot GA on November 1, 2023; GitHub Copilot Business broadly available 2023; major enterprises announcing AI transformation programs. For IT managers, generative AI created an entirely new governance mandate: AI vendor selection, data privacy compliance (what data can the LLM touch?), AI security risk (prompt injection, model poisoning, deepfake-enabled social engineering), AI cost governance (token consumption can spike unpredictably), and AI tool standardization across a workforce that was adopting shadow AI spontaneously. Chief AI Officer titles began appearing at major US corporations in 2023-2024 — Morgan Stanley, Walmart, and dozens of others announced dedicated CAIO positions. The function usually reports to the CIO or CEO and often sits alongside the existing IT management structure rather than replacing it. IT managers who could govern AI adoption — evaluate models, set usage policy, manage vendor risk — became among the most sought-after technology executives in the 2024-2025 market.

BLS projects +15% employment growth 2024-34 — faster than the all-occupation average — driven substantially by AI governance demand alongside continuing cloud and cybersecurity expansion. The addition of a "Chief AI Officer" layer at large organizations has generally added headcount rather than replaced existing IT management.

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
+18%
GPT-4 task-by-task LLM exposure labeling on O*NET tasks. IT management occupations score in the moderate-to-high LLM exposure range for documentation, communication, and reporting tasks — but the Eloundou framework is explicit that high LLM exposure for management roles is augmentative rather than substitutive. The CIO's time freed from routine documentation can be redirected to higher-stakes AI governance, vendor strategy, and board advisory work. The +18% figure reflects the New Bearings augmentation-upside interpretation: IT management is one of the roles where AI assistance most directly amplifies the high-value judgment work by eliminating the low-value reporting overhead. Consistent with the BLS +15% central forecast.
BLS National Employment Matrix 2024-34
→ 2034
+15%
BLS Employment Projections 2024-34 cycle. Published employment change for SOC 11-3021: +15.2% (101,600 projected new jobs), from a base of 667,100 (2024) to 768,700 (2034). Annual openings: approximately 51,400 (new jobs + replacement need). BLS classifies this as "much faster than average." Primary demand drivers cited: cybersecurity expansion, cloud computing governance, AI adoption oversight, and the continuing digitization of business processes across all industry sectors.
BLS Occupational Outlook Handbook 2023-33
→ 2033
+15%
BLS Employment Projections 2023-33 cycle. Growth described as "much faster than average." The 2023-33 projection aligned with the 2024-34 cycle on the same +15% magnitude, driven by cybersecurity and cloud management demand. Annual average openings for the 2023-33 cycle: approximately 46,600. The BLS OOH explicitly identifies AI implementation and management, cloud computing, and cybersecurity as the three primary drivers of above-average growth in this occupation through the 2030s.
McKinsey Global Institute (2023)
→ 2030
+12%
McKinsey's July 2023 'Generative AI and the Future of Work in America' projected that technology management roles would grow as AI adoption created new governance demands faster than AI eliminated existing management work. McKinsey modeled IT management as a net beneficiary of the AI wave: the demand for people who can evaluate AI tools, manage AI vendor relationships, govern AI risk, and translate AI capabilities into business strategy exceeds the displacement from AI automation of routine management tasks. The +12% estimate is New Bearings's interpretation of McKinsey's technology-management growth scenario for this occupation through 2030.
Goldman Sachs Global Investment Research (2023)
→ 2033
+5%
Goldman Sachs' March 2023 report 'The Potentially Large Effects of Artificial Intelligence on Economic Growth' estimated 32% of US work tasks could be automated by AI, with management-heavy white-collar occupations carrying meaningful task-level exposure. For IT management specifically, the AI-exposed tasks (status reporting, vendor evaluation documentation, meeting summaries, technology briefings) are real but constitute a smaller share of the role than in general operations management — the core of IT management is judgment and accountability in fast-moving technical domains, not text-generation tasks. Goldman's moderate scenario implies continued employment growth, though slower than the BLS baseline, as AI handles some of the routine reporting and documentation work that currently consumes IT managers' time.
Frey & Osborne (2013) — Oxford Martin School
→ 2030
-3%
Gaussian-process classifier on O*NET task features. Computer and Information Systems Managers were assigned a very low probability of computerization (approximately 0.035) in the Frey-Osborne framework — placing them in the bottom decile of their 702-occupation dataset for automation risk. The bottleneck factors that protect the role: high 'social intelligence' requirements (negotiating vendor contracts, managing board expectations, coordinating across business units), 'originality' in technology strategy formulation, and 'fine judgment' in evaluating novel technical risks. The -3% figure represents a conservative lower-bound interpretation if any AI substitution of lower-level IT management work were to compress headcount at the margins — it is not the F&O central prediction. F&O's actual classification implies stable or growing employment.
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

Govern the AI-augmented ITSM layer using ServiceNow Now Assist — configuring AI agents for incident triage, ticket routing, resolution-note generation, and knowledge-article drafting; setting exception-handling rules for escalations that require human judgment; reviewing AI-summarized service desk metrics to identify systemic issues; and managing the platform's AI agent orchestration as Now Assist expands to cross-system enterprise workflows.[9],[10],[1]

Tools picking this up
Where your edge is

The value shift is from ticket supervision to platform orchestration. Develop expertise in ServiceNow Flow Designer and agent configuration so you can tune automation rules, define escalation criteria, and measure AI agent accuracy rates rather than just reviewing dashboards. The CIO who can identify which 20% of incident types generate 80% of escalations — and close that loop in the AI config — is compounding operational leverage.

Get started with these tools
AI is sitting alongside you here

Drive engineering productivity with GitHub Copilot Enterprise — making the platform and licensing decision (Business vs. Enterprise tier), setting IP and public-code filtering policies, establishing a 90-day adoption playbook with leading indicators (acceptance rate, code review turnaround, PR volume), tracking ROI against the $39/user/month cost, and governing coding-assistant vendor selection as Cursor, Replit Agent, and Amazon Q Developer compete for the enterprise slot.[11],[12],[13]

Tools picking this up
Where your edge is

The ROI case for GitHub Copilot Enterprise is strong (Accenture: 55% faster task completion, positive ROI within one quarter at even 10-11% productivity gain) but only materializes with disciplined adoption governance. Define leading metrics before rollout (acceptance rate target: >30%), plan for the 11-week ramp-up period Microsoft research identifies, and review code-quality signals (PR merge rate, defect density) alongside speed metrics to avoid trading quality for velocity.

Get started with these tools
AI is sitting alongside you here

Direct IT budget planning and financial governance — using Microsoft 365 Copilot and AI-assisted financial models to compress variance-analysis and forecast-preparation time; building the ROI case for major AI platform investments (GitHub Copilot Enterprise, ServiceNow Now Assist, security toolchain upgrades) that must justify 25-40% price premiums over prior-generation tools; modeling multi-year TCO for AI platforms where the hidden costs (integration, training, governance overhead) routinely dwarf license fees; and defending IT capital allocation to the CFO and board with business-outcome framing rather than technology-feature arguments.[3],[9],[1]

Tools picking this up
Where your edge is

AI compresses the financial modeling work — data aggregation, variance explanation, forecast sensitivity analysis. Your leverage is the judgment layer: which AI investments are worth the premium (where utilization is measurable and ROI accrues in 90 days vs. 18 months), which legacy platforms to sunset to fund new ones, and how to frame technology spending as revenue protection and competitive positioning rather than cost. Build the habit of connecting every major IT budget line to a business outcome the CFO already cares about.

Get started with these tools

Where this role is heading

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

A direction you could grow

General and Operations Managers

Senior CIOs who have delivered AI governance programs, managed large IT budgets, and earned board-level trust through transparent cybersecurity reporting are increasingly moving into General and Operations Manager or COO roles. The 2026 AI governance mandate means the CIO is already doing the work of a strategy-setting, risk-managing executive — the pivot formalizes that scope expansion. The primary skill gap is P&L ownership depth: most CIO careers involve managing a cost center, not a revenue-generating business unit. CIOs who have driven measurable business-outcome ROI from technology investments are the strongest candidates.

What you'd add
What it takesA real upskill — but a natural one
Present-day sources

Sources

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

  1. [1]O*NET 30.3 — Computer and Information Systems Managers (11-3021.00)· accessed 2026-05-23
  2. [2]BLS — Computer and Information Systems Managers OOH: 15% growth 2024-2034, $171,200 median wage, 55,600 annual openings· accessed 2026-05-23
  3. [3]Gartner 2026 CIO Agenda — 3,100 CIOs surveyed ($351B IT spend): 87% increasing AI budgets, 64% plan agentic AI deployment in 24 months, 94% expect major plan changes· accessed 2026-05-23
  4. [4]Logicalis 2026 Global CIO Report — 94% growing AI appetite, 76% cite unchecked AI as serious concern, 62% compromise on governance, 2/3 cannot scale AI beyond initial deployments· accessed 2026-05-23
  5. [5]CIO.com — AI Hits the Boardroom: boards demand AI footprint map, multi-year governance roadmaps, trust metrics, and EU AI Act / NIST AI RMF alignment from CIOs in 2026· accessed 2026-05-23
  6. [6]CIO Dive — 5 CIO Predictions for AI in 2026: Forrester: 60% of Fortune 100 to appoint AI governance head; 25% data team headcount reduction among agentic-capable enterprises· accessed 2026-05-23
  7. [7]Eloundou et al. 2024 — GPTs are GPTs (Science)· accessed 2026-05-23
  8. [8]InformationWeek — AI, Automation, and IT Layoffs: app dev and QA most exposed; security, infrastructure, and CIO-layer roles show resilience (2025)· accessed 2026-05-23
  9. [9]ServiceNow Now Assist — ACV surpasses $600M (late 2025); EY deployment cuts resolution time up to 40%, generates 53 new knowledge-base articles saving 30 min each· accessed 2026-05-23
  10. [10]ServiceNow — Now Assist for IT Service Management: AI agents for incident triage, summarization, and resolution; Context Engine for AI governance across the platform· accessed 2026-05-23
  11. [11]GitHub Copilot statistics 2026 — 4.7M paid subscribers (75% YoY), 90% of Fortune 100; Accenture: 55% faster task completion, 67% faster code review, 50% faster PR merges· accessed 2026-05-23
  12. [12]GitHub Copilot ROI analysis for engineering leaders — positive ROI within 3-6 months; 11-week ramp-up; most enterprises report 10-11% baseline productivity gain (Worklytics 2025)· accessed 2026-05-23
  13. [13]Atlassian — Agents in Jira (Rovo): AI agents accept Jira work assignments, iterate in comments, operate under existing permissions and audit trails; open beta February 2026· accessed 2026-05-23
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