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AI exposure report
Will AI replace Management Analysts?
Many of your tasks are within reach of AI. The role will change, so it pays to act now.
Task exposure to today's AI
High 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 scoreWill AI replace Management Analysts?
Not entirely. Today's AI tools can take on about 51% of the typical work in this occupation, mostly: plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis. The parts that stay human include: Analyze data gathered and develop solutions or alternative methods of proceeding.; Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.; Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures..
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.
+ 5 more tasks (13% of the week) in the full test.
Your human edge
- Analyze data gathered and develop solutions or alternative methods of proceeding.
- Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.
- Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.
AI tools to try
Excel / Sheets with Copilot or GeminiChatGPT / Claude for analysis and draftingAI document extraction (invoices, contracts, forms)Related roles
- Project Management Specialists
- Business Intelligence Analysts
- Information Technology Project Managers
A 3-phase AI learning plan
Phase 1
Automate the routine
- AI for data entry, extraction and reconciliation.
- Formulas, pivot tables and checks written with AI.
- Standard emails and documents from templates.
Project
Use AI to extract and reconcile process data from 20 interview notes and reports into one clean workbook with AI-written formulas and checks, and log hours saved versus manual entry.Phase 2
Analysis and advice
- Forecasts and variance analysis with AI, checked against the source.
- Plain-language summaries of numbers for managers or clients.
- Research rules and regulations with AI, then verify in the original.
Project
Build an AI-assisted variance and 12-month forecast analysis for one department, verify every figure against source systems, and deliver a one-page plain-language recommendation memo.Phase 3
Process owner
- Map and automate a full process with no-code tools (Make, Zapier, Power Automate).
- Data quality, controls and audit trails for AI-assisted work.
- Turn saved time into higher-value advisory work.
Project
Map one client intake-to-recommendation process and automate 3 steps with Make, Zapier or Power Automate, adding data-quality checks and an audit trail, then measure cycle time before and after.