How CHROs Should Redesign Roles as AI Reshapes Work

Why role redesign, not task automation, is the real AI challenge for CHROs

Most organizations are approaching AI adoption with a fundamental misdiagnosis: they are automating tasks when they should be redesigning roles. Jackson Lynch - a four-time CHRO who has led HR transformations at Sunnova Energy, Clearwater Paper, Nestle, and PepsiCo - draws a hard line between the two. Tasks get automated, roles get redesigned. Conflating them is where organizations lose people.

The diagnostic question is not "which tasks can AI do?" It is: what does this role exist to accomplish right now, and how does AI involve itself in that? When you frame it that way, the conversation shifts from elimination to evolution. You automate where work is predictable and repeatable.

You augment where human judgment, context, credibility, and influence create a return that automation cannot replicate.

The demoralizing move, Jackson argues, is eliminating the development pathway disguised as eliminating a cost line. The task was visible - but the growth that happened through the task was invisible. When organizations remove tasks without redesigning the role, they strip out the career development infrastructure that employees relied on, even if no one named it that way.

According to Gartner's 2025 Future of Work research, 58% of the workforce will need new skills to do their jobs successfully - but the failure rate of reskilling programs remains above 70% when role redesign is absent.

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AI reveals who understands the business - and who is hiding behind process

One of the most provocative insights from Jackson's perspective is that AI is exposing a long-hidden asymmetry in organizations: the gap between people who truly understand how the business works and people who have been hiding behind process. That exposure is uncomfortable, but it is not unfair.

The adaptability gap, Jackson argues, now matters more than the experience gap. A 25-year-old with deep tool fluency may outperform a 40-year-old at targeted analytical work - and pretending that asymmetry does not exist does not make the team better. Sports teams figured this out long ago: you put the best player in the seat, regardless of seniority.

The practical design principle Jackson recommends: machines handle detection, humans handle discernment. Communicate that allocation transparently in your role architecture. AI-driven role compression means leaders who excelled at high-volume routine tasks are now being asked to make more consequential calls with less cover - and that is a development need, not a performance failure.

Name it so you can address it.

For people leaders tracking this shift, employee engagement listening tools can surface where the adaptability gap is creating friction before it turns into attrition.

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Culture is decision residue: the phrase every CHRO needs to internalize

Jackson introduces a definition of culture that cuts through the noise: culture is not what you put on the walls - that is just marketing. Culture is decision residue. It is the byproduct of every people decision an organization makes. To understand your real culture, examine your last hundred people decisions: what did you decide, why, who won, who lost, and what trade-offs did you make?

This framing has direct implications for AI role redesign. The decisions organizations make in the first weeks of any redesign effort - who they involve, who they protect, what they communicate - become the culture. If redesign is done to people rather than with people, the culture shifts toward fear and compliance.

If it is done transparently, with clear ownership and visible outcomes, the culture shifts toward adaptability.

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Why managers must shift from coordination to coaching - and what that actually means

The manager's role has changed more than nearly any other, Jackson argues. Managers were professional coordinators: tracking, scheduling, summarizing, and handling the logistical glue of teamwork. AI is absorbing that coordination layer. The question is no longer what managers do - it is what we actually want managers to do now that the coordination job is disappearing.

The answer has always been on the list but never at the top: coaching, building capability, driving performance conversations.

According to McKinsey's research on organizational effectiveness, companies that invest in manager coaching capability see 20-25% higher employee engagement scores - yet most organizations still train managers on process compliance rather than human development.

Jackson approaches this from a design thinking perspective: build role profiles for both humans and AI agents with explicit outcomes, define exactly where human-in-the-loop judgment is required (not implied, not assumed), and purposefully design every handoff.

The most important job description in the organization, Jackson argues, may in fact be your AI agent's - because you need to tell it what it is accountable for, where its handoffs are, and what it is not authorized to work on.

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The capacity paradox: AI frees 8-10 hours per week - and almost none of it is being used

Jackson surfaces a striking data point: organizations adopting AI tools are finding 8 to 10 hours of time capacity per week per employee. Yet less than 7% of that freed time has been intentionally reallocated toward something of higher value. The capacity is there. The design is not.

This is the central design choice facing CHROs: what do you do with the extra capacity? You can eliminate headcount - but that sacrifices institutional knowledge and future flexibility. You can ignore it - but that wastes the largest workforce reallocation opportunity in a generation. Or you can redesign roles so that people own results instead of task lists, making the work itself purposeful.

Jackson's real-world example illustrates this vividly. Using Claude's co-working capabilities, he built an automated daily briefing system: an AI agent that scans his calendar each evening, pulls every prior conversation with the next day's contacts from his CRM, checks their LinkedIn activity, and delivers a three-minute pre-meeting brief.

Six months ago, this would have taken a full day of manual preparation - and would not have been as comprehensive. Today, it takes the push of a button. That time savings compounds: better preparation leads to better conversations, which lead to better outcomes.

For HR specifically, Jackson points to performance management season - the annual period where HRBPs spend the majority of their time on compliance tasks (did you do it? did you do it on time?) rather than quality improvement (is the feedback actually good?). AI can handle the compliance layer, freeing HRBPs to work with managers on the substance of feedback.

The question, as Jackson frames it: how do we not all win when that happens?

Continuous listening tools can help organizations track whether freed capacity is being channeled into higher-value work - or simply evaporating.