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AI exposure report

Will AI replace Information Technology Project Managers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

46/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Information Technology Project Managers?

Not entirely. Today's AI tools can take on about 46% of the typical work in this occupation, mostly: monitor or track project milestones and deliverables. The parts that stay human include: Confer with project personnel to identify and resolve problems.; Manage project execution to ensure adherence to budget, schedule, and scope.; Schedule and facilitate meetings related to information technology projects..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Monitor or track project milestones and deliverables.AI already used 57%
Develop or update project plans for information technology projects including information such as project objectives, technologies, systems, information specifications, schedules, funding, and staffing.AI already used 57%
Schedule and facilitate meetings related to information technology projects. 47%
Manage project execution to ensure adherence to budget, schedule, and scope. 45%
Direct or coordinate activities of project personnel.AI already used 35%
Confer with project personnel to identify and resolve problems. 17%

+ 15 more tasks (46% of the week) in the full test.

Your human edge

  • Confer with project personnel to identify and resolve problems.
  • Manage project execution to ensure adherence to budget, schedule, and scope.
  • Schedule and facilitate meetings related to information technology projects.

AI tools to try

Coding assistants (GitHub Copilot, Claude Code, Cursor)ChatGPT / Claude for design and debuggingAI test and documentation generators

Related roles

A 3-phase AI learning plan

Phase 1

Pair programming with AI

  • Use a coding assistant for boilerplate, tests and refactoring.
  • Give it context: project rules, examples, small steps.
  • Review AI code like a colleague's pull request.

Project

Use a coding assistant to build a small script that turns your sprint board export into a milestone status report, reviewing every AI-written line as a pull request.

Phase 2

AI in your systems

  • Call an LLM API with structured output.
  • Retrieval over your own documents or data.
  • Evaluate quality, cost and latency before shipping.

Project

Build a tool that calls an LLM API with structured output to extract risks, owners and due dates from 20 past meeting transcripts, and measure accuracy, cost and latency.

Phase 3

Production-grade AI

  • Evals and regression tests for prompts.
  • Security: prompt injection, data leaks, permissions.
  • Monitoring and cost control.

Project

Add a 30-case eval suite, prompt-injection tests and a cost dashboard to your status-report assistant, and document before/after error rates and monthly spend.
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