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Program Managers

Managementhighaugment
BLS 2024-34: +8%
Median Wage: $120,980
Employment: 528K

Overall Exposure

51+15

2025 vs 2023

Theoretical Exposure

69

What AI could do

Observed Exposure

30

What AI actually does

Automation Risk Score

32

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

51โ†’66
+15

2025 โ†’ 2028 (estimated)

Theoretical Exposure

69โ†’84
+15

2025 โ†’ 2028 (estimated)

Observed Exposure

30โ†’45
+15

2025 โ†’ 2028 (estimated)

Automation Risk

32โ†’43
+11

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202336541622actual
202444622327actual
202551693032actual
202657753636estimated
202762804140estimated
202866844543estimated

Task Breakdown

Coordinate cross-project dependencies and timelines
58%ฮฒ 1
Generate program status reports and dashboards
82%ฮฒ 1
Manage program budgets and resource allocation
60%ฮฒ 1
Facilitate stakeholder alignment and escalation management
22%ฮฒ 0
Identify and mitigate program-level risks
50%ฮฒ 0.5

About This Occupation

If you work as a Program Manager, AI is reshaping your profession. With an automation risk of 32/100 and overall exposure at 51%, this role faces high transformation. The highest-impact area is generate program status reports and dashboards at 82% automation. This is classified as an 'augment' role. BLS projects +8% growth through 2034. Program managers who use AI for reporting, forecasting, and dependency tracking will free up time for strategic leadership.

Frequently Asked Questions

With an automation risk score of 32%, Program 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 Program Managers is 32% (2025 data). Overall AI exposure is 51%, with 69% theoretical exposure and 30% observed exposure. The risk trend from 2023 to 2025 is +10 points.

The tasks with the highest automation potential for Program Managers are: Generate program status reports and dashboards (82%), Manage program budgets and resource allocation (60%), Coordinate cross-project dependencies and timelines (58%). 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 +8% employment change for Program Managers from 2024 to 2034. Combined with an overall AI exposure of 51%, 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 Program 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: Evergreen blog post published analyzing AI impact on program management

[Source: AI Changing Work Blog]