3 Reasons Transformation Gets Stuck at the Manager Level—and How Leaders Can Fix It
At a recent executive roundtable on leading through change, Stephanie opened the day with our research on the AI productivity paradox. She had barely introduced the idea—that AI can increase output without necessarily improving productivity—when one leader cut in.
“Just to clarify,” that leader said, “so, you’re not about to give us another presentation about why AI is going to make us all more productive?”
Everyone in the room laughed. But the question landed.
Leaders are not short on AI urgency. They have heard the pitch: Adopt faster, automate more, move before competitors do. What they are told less often is that AI’s productivity promise depends on a very human system: managers using AI tools to support judgment, alignment, and execution.
That was the point of the research. AI can make work faster while making organizations less productive if leaders scale output before they redesign work, clarify accountability, and build the judgment required to use it well. AI collapses the cost of production. It does not collapse the cost of judgment. Someone still has to evaluate quality, interpret context, manage risk, and own the decision.
Increasingly, that “someone” is the manager.
Why managers are the key to transformation success
That was the thread Cory picked up when he closed the day with our HR Executive Board research on managers. His point was simple: The middle of the organization is becoming the pressure point for nearly every major transformation.
AI is the paradigm shift—and the burden of navigating that shift is hitting managers hardest, which raises a sharper leadership question: Are managers equipped to turn faster work into better execution? Too often, the answer is no. Here are three reasons why and what leaders can do to fix that problem.
1. Managers are being asked to lead change, not just manage work.
The manager role has changed faster than most organizations have acknowledged.
Managers still need to coach employees, manage performance, assign work, and maintain engagement. But now they are also being asked to lead through AI adoption, productivity pressure, hybrid work friction, shifting skills, leaner teams, and changing career paths.
That is not just people management—that is change leadership. And many managers have not been trained for it. They are fielding the questions employees ask after the strategy announcement ends:
- What changes about my role?
- What work should I stop doing?
- How will performance be judged?
- What does good work look like when everyone can produce more?
These questions cannot be answered by using a generic communication plan. While communication is critical, workforce transformations require managers to make trade-offs, interpret intent, reinforce behavior, and maintain trust, and that is where many transformations quietly break down. Senior leaders may believe the strategy is clear, but if managers cannot clearly and confidently explain what changes, what stays the same, what gets prioritized, and what employees are held accountable for, the organization will experience confusion that can easily lead to resistance.
Cory makes clear that “good people leadership” cannot be tomorrow’s managers’ only responsibility. Managers increasingly need to become organizational architects. They need to understand how work is changing, how roles are shifting, how skills are evolving, and how to move a team toward emerging strategies without creating confusion or burnout.
Solution: Make managers part of the strategy
How leaders can fix it: Treat manager enablement as part of the transformation strategy, not a follow-up communication plan. The goal is not to ask managers to carry more but to make transformation executable.
2. The leadership bench was built for a different version of work.
One of Cory’s strongest points from the roundtable was that organizations have been here before. HR teams have reimagined career architecture before. They have revisited performance models before. They have debated nine-box grids, leadership competencies, succession planning, and potential before.
This moment, however, is different because AI is changing the shape of work itself.
How AI is reshaping manager readiness
Some entry-level work is being compressed or automated. Some specialist tasks are shifting. The pathways that once helped employees build judgment, confidence, and readiness for leadership are becoming less predictable.
That puts pressure on the leadership bench:
- If early-career work changes, future managers have fewer places to build judgment capabilities.
- If teams get leaner, managers and experienced employees will have less time to coach new talent.
- If high-performers are less interested in people leadership, succession plans get thinner exactly when the business needs stronger managers.
These are not abstract talent questions. They are execution questions, and due to the shake-up created by AI, none of these roles is stable.
Recent research found that 52% of Gen Z professionals do not want to become middle managers, often because they see the role as high-stress and low-reward. Meanwhile, Georgetown researchers predict a 2.9 million manager shortage by 2032—a direct result of the looming leadership pipeline gap.
Solution: Build the next generation of leaders
How leaders can fix it: Leaders need to redefine manager readiness for the work ahead. Past performance still matters, but it is not enough. The next generation of managers will need to navigate ambiguity, make trade-offs, build trust, and connect daily work to enterprise priorities. That bench will not emerge through informal visibility or outdated assumptions about who “looks ready.” It must be built intentionally.
3. Leaders cannot fix manager friction they cannot see.
The hardest part about manager-level execution risk is that it rarely announces itself as failure. It shows up first as friction:
- A manager who interprets the message differently than their peers
- A team that hears “productivity” as “work longer”
- A hybrid norm that varies by department
- A new tool that creates more review burden than value
- An employee population that wants clarity but is afraid to ask direct questions
- A manager who supports the strategy in theory but does not know what to reinforce on Monday morning
Individually, these issues may look small. Together, they determine whether transformation sticks.
This is where leaders often have a visibility problem. They may have engagement data, pulse surveys, adoption metrics, and anecdotal feedback, but those inputs do not always reveal where execution will stall, what managers are struggling to translate, or which patterns are root causes versus noise.
That distinction matters. It matters because transformation does not usually fail due to lack of messaging. It fails when leaders cannot see where the message is breaking down, where managers need clearer decision rules, and where employees are interpreting change in ways that create risk.
Solution: Shift from employee feedback to execution insights
How leaders can fix it: Leaders need a better way to see where execution is breaking down. It is not enough to ask what employees think; leaders need to understand what managers are hearing, where they need clarity, and which friction points will stall adoption if left unresolved. The shift is from collecting feedback to interpreting execution risk—then turning that insight into clearer priorities, decision rules, and manager support.
The middle is not the problem. It is the leverage point.
AI has made one thing clear: Organizations cannot automate their way around leadership capacity. Strategy becomes real only when managers can explain it, reinforce it, and translate it into daily decisions.
The question every CHRO should be asking
Instead of dwelling in the space of communicating the transformation, CHROs need to be asking: “Have we made the change executable for managers?”