AI Won’t Save You If You Lose the Knowledge Behind the Work
AI job cuts won’t deliver ROI alone. Learn why tacit knowledge capture, human capability and people-centred AI are critical to lasting transformation.
Why Skills Strategies Stall Without Manager Enablement
A skills strategy creates more value when managers can turn everyday work into stronger capability. Visibility matters, but performance improves when managers can make skills visible in context, turn feedback into learning, and help teams adapt faster. A skills-based organisation can give a business a better view of capability. It can show where skills already exist, where adjacent strengths sit, and where talent could create value next. That matters. But it is not enough. A clearer map of capability does not automatically create more of it. Organisations do not improve performance because they have described skills more elegantly. They improve performance when people can apply, strengthen, and repeat those skills in the work itself. That is where many skills strategies slow down. The missing layer is manager enablement. Visibility does not strengthen skills on its own One of the easiest mistakes to make in a skills strategy is to confuse visibility with development. A map can help an organisation see capability more clearly. It cannot, on its own, make someone better at handling a customer escalation, leading a handover, making a judgment call under pressure, or improving the next decision after a mistake. Skills are strengthened in the work itself, not around it. They are built in the debrief after a difficult shift, in the follow-up after a missed target, in the reflection after a customer issue, and in the conversation that helps someone understand what to repeat next time and what to change. That is why manager capability matters so much. Managers are often the people best placed to make the skill visible in context, connect feedback to a real moment of work, and help someone turn experience into better judgment next time. Without that layer, a skills model stays descriptive. With it, it starts to drive real performance improvement. Managers are the operating layer of capability-building If skills are the unit of adaptability, managers are the mechanism that turns them into performance. That point matters even more now. Gallup’s 2026 State of the Global Workplace report shows that global employee engagement fell for a second straight year to 20%, its lowest level since 2020. Gallup also reports that lower engagement among managers accounts for most of the recent downturn, with manager engagement falling nine points since 2022 to 22% globally. At the same time, Gallup found that in best-practice organisations, 79% of managers are engaged, which shows the problem is not inevitable. It is highly influenced by how managers are supported. That is the practical challenge for any organisation trying to build capability at speed. The manager is not a side player in execution. The manager is one of the main ways execution happens. In a strong skills strategy, managers help do four things consistently: Make the skill visible.Create high-quality feedback loops.Turn experience into learning.Build judgment, not dependence. When those behaviours are missing, even a well-designed skills model struggles to change day-to-day performance. When they are present, skills start to move from framework to workflow. AI is making the gap more obvious The Gallup data is especially useful because it shows how clearly manager behaviour affects whether new capability becomes real. The report finds that while many employees report personal productivity gains from AI, only 12% of employees in AI-implemented organisations strongly agree that AI has transformed how work gets done in their organisation. Gallup also says the top two drivers of frequent AI use are integration with existing systems and manager-led adoption. Employees who strongly agree that their manager actively supports their team’s use of AI are 98.7 times more likely to strongly agree that AI has transformed how work gets done in their organisation. Yet fewer than a third of U.S. employees in AI-implementing organisations strongly agree that their manager actively supports their team’s use of AI. That is not just an AI story. It is an execution story. New capability does not spread simply because a tool exists or a framework has been defined. It spreads when managers legitimise it, coach it, and help teams use it well in context. The same logic applies far beyond AI. A skills strategy becomes valuable when managers can help people use capability better in real work, not just record that it exists. Learning extraction is where skills begin to compound One of the most practical disciplines in a skills-based organisation is learning extraction: pulling usable learning out of real work before the next task begins. Many teams complete the work but do not extract the learning. They move from one shift, one milestone, one customer interaction, or one handover to the next without pausing to ask what actually happened, what skill mattered most, what worked, where judgment broke down, and what should happen differently next time. When that happens, experience accumulates but capability does not always compound. Manager enablement helps close that gap. It gives managers lightweight ways to turn live work into reflection, reflection into adjustment, and adjustment into stronger future performance. That is also why feedback matters so much. Feedback is not most useful when it stays generic. It is most useful when it identifies the behaviour, the decision, and the skill in motion. Instead of “Good job,” the better move is to name what happened: you slowed the conversation down, clarified the issue, and gave the customer two clear options. That was strong conflict handling and decision clarity. That is how a skill becomes visible.That is how it becomes coachable.And that is how it becomes transferable. This matters most where work is hardest to see The case for manager enablement gets even stronger in deskless, shift-based, and distributed teams. In these environments, capability can be harder to spot and easier to lose. Valuable learning disappears between shifts. Remote teams have fewer spontaneous developmental moments. Hybrid teams often have less shared context than leaders assume. In all of these settings, skill growth depends more heavily on deliberate managerial practice. That means manager support has to be practical. Not another abstract model. Not another heavy process.