Computer and Information Systems Managers
Overall Exposure
2025 vs 2023
Theoretical Exposure
78What AI could do
Observed Exposure
42What AI actually does
Automation Risk Score
32Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 45 | 68 | 24 | 22 | actual |
| 2024 | 52 | 73 | 33 | 27 | actual |
| 2025 | 58 | 78 | 42 | 32 | actual |
| 2026 | 63 | 82 | 49 | 36 | estimated |
| 2027 | 68 | 85 | 55 | 39 | estimated |
| 2028 | 72 | 88 | 61 | 42 | estimated |
Task Breakdown
About This Occupation
If you work as a Computer and Information Systems Manager, AI is reshaping your profession. With an automation risk of 32/100 and overall exposure at 58%, this role faces high transformation. The highest-impact area is monitoring system performance and generating infrastructure reports at 82% automation, where observability platforms with AI-driven anomaly detection and automated dashboarding have become standard across enterprises. Evaluating technology solutions is partially automated at 58%, as AI can benchmark products, summarize vendor capabilities, and forecast total cost of ownership. Leading cross-functional IT teams remains largely human at 15% automation, as strategic decision-making, stakeholder negotiation, and organizational change management require leadership skills that AI cannot replicate. This is classified as an 'augment' role. BLS projects +17% growth through 2034, the fastest among management occupations, with median annual wage of $164,070 and roughly 485,000 professionals employed. The explosion of AI adoption across industries is driving unprecedented demand for IT leaders who can evaluate, implement, and govern AI systems responsibly.
Frequently Asked Questions
With an automation risk score of 32%, Computer and Information Systems Managers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Computer and Information Systems Managers is 32% (2025 data). Overall AI exposure is 58%, with 78% theoretical exposure and 42% observed exposure. The risk trend from 2023 to 2025 is +10 points.
The tasks with the highest automation potential for Computer and Information Systems Managers are: Monitor system performance and generate infrastructure reports (82%), Evaluate and recommend technology solutions and vendor proposals (58%), Develop IT budgets and align technology strategy with business goals (45%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +17% employment change for Computer and Information Systems Managers from 2024 to 2034. Combined with an overall AI exposure of 58%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Computer and Information Systems Managers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.
Recent AI Impact Changes
Mar 2026: New blog post analyzing AI impact on MIS director careers with 52% exposure and 27% automation risk.
[Source: AI Changing Work Blog]