Organisations are asking more from their people than ever before.
We want adaptability. We want stronger customer focus. We want cross-functional execution. We want AI-enabled productivity. Yet in many cases, the systems shaping day-to-day behaviour still belong to an earlier era. That is the tension leaders need to confront now.
What we are seeing across our client organisations is not simply a capability issue, a manager issue, or a motivation issue. It is a system issue. Strategy is moving. Technology is moving. Market pressure is rising. But performance, reward and operating settings are often still reinforcing older behaviours such as technical ownership, local optimisation, throughput thinking and short-term commercial protection.
That gap matters more than it used to. Because when the organisation says “adapt, collaborate and change”, but its core mechanisms reward something else, people notice. And they respond accordingly.
The real problem is in the system
Leaders describe weak alignment between strategy, performance, reward and work design. They point to low-quality goals, inconsistent leadership, limited differentiation in performance outcomes, stalled system change, siloed structures, and pressure building across already stretched teams. Seen in isolation, each of these can look manageable.
Seen together, they tell a different story.
They suggest the organisation is asking for one set of behaviours while reinforcing another. That is not a people problem. It is a system problem.
And that is where many leaders misread what is happening.
They interpret slower execution, inconsistent performance conversations or declining energy as manager inconsistency or engagement noise. In practice, the stronger driver is often the mismatch between what the organisation says matters and what its systems actually reward.
Why this is becoming more visible now
This issue is not new. But current conditions are making it harder to ignore.
As AI starts to reshape tasks and workflows, role boundaries are becoming less stable. In parallel, many organisations are still carrying capacity strain from sustained transformation, operating model change and cost pressure. At the same time, executive teams are asking for more speed, more collaboration and more responsiveness to customers.
That combination exposes weak system design fast.
It also creates a dangerous pattern. The organisation keeps asking people to “lean in” while the underlying conditions for sustainable performance continue to erode. Speed is the first thing we see go. The decision quality. Then leader trust. Then discretionary effort.
By the time those effects show up clearly in attrition, engagement or customer outcomes, the degradation has already been underway for some time.
Why leaders often diagnose it too narrowly
A common response is to focus on manager uplift, tighter accountability or another round of engagement action planning. Those actions can help. But they rarely solve the deeper issue.
If goals are poor because strategy is not translating cleanly into role expectations, leadership capability development will only go so far. If performance outcomes are compressed because the organisation is reluctant to differentiate, better calibration rituals will not fix the underlying logic. If people are exhausted because capacity is overloaded, no amount of motivation theatre will restore sustainable performance.
This is where the frame needs to shift.
Instead of asking, “Why aren’t people performing better?" the better question is, “What is our system teaching people to prioritise?"
That question gets much closer to the truth.
Three forces likely driving the tension
Several patterns stand out.
1. Executive awareness often outpaces executive appetite for action. Leaders can usually see the problem. Many can describe it clearly. But when the implications touch reward, structure, talent decisions, governance or power, action slows. Diagnosis is safe. Redesign is harder.
2. AI is introducing a fresh layer of ambiguity into performance. As tasks shift and work is redistributed between human and machine, role identity becomes less clear. When people are uncertain about where their value sits, resistance rises. What looks like scepticism about technology is often a more personal question: what is my contribution now?
3. Capacity strain is still being misread as an amotivation problem. Many teams are not underperforming because they do not care. They are under strain because the system is demanding adaptation without reducing friction, removing lower-value work or redesigning accountabilities.
That distinction matters. You cannot coach your way out of structural overload.
What this means for leaders
The implication is simple, even if the work is not.
If strategy now depends on collaboration, adaptability, judgement and new forms of productivity, then performance systems need to reinforce those things explicitly. Reward logic needs to support them. Work design needs to make them possible. Leadership practice needs to bring them to life.
Otherwise the organisation will keep asking for future-fit behaviour through legacy settings.
And that rarely ends well.
This is also why performance issues are so often not really performance issues. They are symptoms of competing signals. They are the outcome of a system asking people to translate contradictions every day.
That is exhausting. And expensive.
The deeper opportunity
There is a more constructive way to read this moment. It is a chance to redesign the conditions for better performance.
The organisations that move well here will be the ones willing to align strategy, performance, reward, operating rhythm and work design around what they actually need from people now.
That takes executive courage.
It also takes honesty about what the current system is rewarding by default.
Because the gap between strategy and system is where execution slows, trust frays and change starts to stall. Close that gap, andthe organisation has a real chance to lift speed, clarity and sustainable performance at the same time.
That is where the work is now. And it is worth doing.
