At expert level, the CHRO's question shifts from "where can AI help?" to "how should work be designed when people and AI agents share it?"
From workforce planning to work planning
Traditional workforce planning counts people. When agents do part of the work, you need to plan the work first, then decide the mix of people, agents and automation.
Moderna went furthest so far: in 2025 it combined HR and IT into one People and Digital Technology function under its former CHRO, Tracey Franklin, who became Chief People and Digital Technology Officer. In her words, the aim is to "architect the flow of work" and move toward "work planning" rather than siloed "workforce planning" or "technology planning".
Design questions for each team
- What outcomes does this team deliver?
- Which tasks can agents do, which do people do with AI, which stay human?
- What is the right human-agent ratio — how many agents, and how many people to guide them?
- Who owns each agent's performance?
- What new roles appear (agent supervisor, AI product owner, AI trainer) and which shrink?
- What does a career path look like when entry-level tasks move to AI?
Policy signals from CEOs
Some companies now make AI part of the headcount process. Shopify's CEO wrote in 2025 that before asking for more headcount and resources, "teams must demonstrate why they cannot get what they want done using AI," and said AI use would be added to performance and peer review questionnaires. Rules like this change job design overnight — HR should shape them, not just apply them.
Principles
- Design for outcomes, not for keeping or cutting roles.
- Keep accountability human: every agent has a human owner.
- Make career paths explicit as tasks move.
- Review designs every six to twelve months.