Interactive reference
The People Ops AI Exposure Map
Every chart you have seen scores whole jobs. Jobs are the wrong unit.
Exposure lives at task level: every People role splits into work that automates and judgment that compounds. Select a role to see its tasks.
The map asks the question. The task layer answers it.
HR Business Partner
3 automate · 3 compound
Meeting prep and briefing packsTooling Enablement
Agenda, history, talking points assembled from systems
9 /10
Notes, follow-ups and action trackingTooling Enablement
Transcription to tracked actions without a human relay
9 /10
Policy questions and first-line adviceEmbed
Grounded answers from your own policy base, with citations
8 /10
Restructure and change executionAudit
Scenario modelling automates; the calls do not
4 /10
Difficult conversations and coachingHuman Enablement
AI preps the brief; the room is yours
2 /10
Org sensing and reading the politicsHuman Enablement
Pattern-spotting helps; judgment does not delegate
2 /10
Stakeholder trust and influenceHuman Enablement
The actual job. Compounds as the admin falls away
1 /10
Read the low scores first
Tasks scoring 0 to 3 are where the human value concentrates: judgment calls, trust, hard conversations. These grow in value as everything around them speeds up.
The high scores are capacity
Tasks scoring 7 and above are not headcount cuts. They are the hours a team gets back to spend on the low-scoring column. Cutting the people who hold the judgment is how AI adoption fails.
Exposure is not adoption
These scores are what current tooling can reliably do with proper setup and verification, not what your team does today. Most teams capture a fraction of this. That gap is the readiness question.
Methodology: task inventories from twenty years inside People functions across seven sectors. Scores rate what frontier models plus workflow tooling reliably produce with proper context and a verification step, judged per task rather than per role. Argue with them, that is what they are for.
