Compare roles · AI exposure side by side
Operations Managers
Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.
Exposure
Window · adoption
until most of the change has landed
High adoption
In one line
AI copilots and process automation are absorbing reporting, forecasting and routine coordination, freeing managers for decisions and people.
Inputs behind the score · scaled 0–100
Task applicability
22Observed usage
18Official exposure tier
70Labour-market trajectory
n/aPublished adoption rating
70What is driving it
- Office copilots for reporting and communication
- Process mining and workflow automation
- Demand and workforce forecasting
- Conversational analytics
- High sector adoption
- Low measured applicability to management tasks
Skills worth building
- Process redesign
- Data-driven decision making
- Change leadership
- Exception handling and problem solving
- Commercial negotiation
- Automation tool literacy
Tools in the work now
Where the work moves
More exposed
Different skills, growing
Complementary, less exposed
Full report
Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.