Every change initiative on your list makes sense.
The total may not.
Picture the executive team approving a fourth major initiative. An AI rollout, because the board keeps asking. The business case is sound. The sponsor is credible. Considered on its own, it is easy to approve.
Then the meeting ends, and the people who will carry all four initiatives go back to their day jobs.
That is the pattern behind much of what we call change fatigue. Every decision is reasonable. What goes missing is the sum.
What is the change fatigue overdraft?
The change fatigue overdraft is what happens when initiatives keep drawing on the same capacity and no one makes a deposit. The same people cover the difference, and fatigue is how it shows up.
Think of capacity as an account. Every initiative is a withdrawal. Whoever approves one sees their own request. Nobody sees the balance.
Deloitte's October 2026 study, based on a June–July survey of 1,000 change leaders, found that 84% say employees are expected to take on transformation work on top of their existing workload. About one in five organizations don't formally measure the human impact before launch. Deloitte describes the result as a capacity constraint that no single initiative can see. These are leaders' reports, rather than direct measurements of employees' experiences.
That deserves attention.
Why does no one see the total load of change?
One reason is that anticipating, designing and implementing change can live in different places, without a shared view of what they collectively demand.
Dr. Nadya Zhexembayeva advocates connecting these three activities. In an organization, strategy may anticipate. A transformation office or HR may design. Operations, IT and the change team implement. Each can do its job well. Nobody holds the whole.
And the response tends to concentrate on implementation: communication, training and sponsorship. Those matter. They don't resolve competing commitments, and they don't redesign the work around them.
Why does AI add to change fatigue?
AI arrives as the newest withdrawal. It also looks like a deposit, because it promises time back.
BCG's June 2026 survey of close to 12,000 workers found that 42% of frontline employees who use AI regularly report saving about a workday a week. Yet 66% still receive limited or no guidance on what to do with that time.
Freed time with no owner tends to fill itself. Researchers from UC Berkeley, writing in HBR in February 2026 , studied one technology company of about 200 employees for eight months. They observed AI intensifying work: a faster pace, broader scope, longer hours. One company is a signal, not a verdict.
The same BCG survey found that more than two-thirds of regular users report more job satisfaction, yet 41% of respondents report more mental strain and 41% say AI has increased the time they spend making decisions.
Work is getting better and harder at once. Deloitte found that 61% of the change leaders it surveyed feel AI transformation is moving faster than employees can handle.
Is change fatigue the same as resistance to change?
No. People who are out of capacity can look, from the executive suite, like people who are out of enthusiasm.
When adoption slows, the usual answer is more communication, more training, more sponsorship. They get people to understand and accept a change that has already been decided. They don't make room for it. Without addressing capacity, those responses can become further withdrawals from the same account.
Researchers have long cautioned that what managers label resistance is often more complicated, including ambivalence
Some objections reflect exhaustion. Others concern trust, feasibility, fairness or the change itself. Leaders need to understand which before choosing the response.
What can leaders do about change fatigue?
Treat capacity as a leadership decision.
What stops so this can succeed?
Who sees the whole load landing on the same people?
Who has the authority to act across functions?
Try this: ask your team to put every initiative in flight on one page, with the names of the people who carry each. Then count how many names repeat.
That is a starting point. Seeing the overlap has to lead to decisions about how the work is designed and who has the authority to renegotiate commitments. People also need supported time to learn new ways of working.
In practice, that means leaders working from one shared list of everything in progress, and a plan that changes when conditions do. A fixed plan assumes the ground holds still. It doesn’t.
Organizations need to change how they change.
So perhaps the question for the next executive meeting isn't only:
What are we launching?
It is: What must change in how we lead and operate, and what are we willing to stop, so people can carry it?
If this is a question your leadership team is navigating, I'd welcome the conversation.
Cindy Montgenie is a Strategic Transformation Advisor for the AI Era, a former Fortune 50 executive, international keynote speaker, and founder of Edgy Strategies.
She partners with senior executives navigating AI adoption, strategic change, and organizational reinvention while the business still has to perform.
Drawing on decades of experience leading transformation from inside complex organizations, Cindy works with leadership teams to turn change into business momentum and build the capacity to adapt to what comes next.
Based in Miami and advising globally, she works across industries in English, Spanish, and French.
Curious who can make room for change inside your organization? Book a conversation with Cindy
Frequently Asked Questions
What is change fatigue?
Change fatigue is the exhaustion, disengagement and reduced willingness to support change that can build when people face too much change at once, often on top of their existing work. It can signal an organizational capacity problem, not only a motivation problem.
What is the change fatigue overdraft?
The change fatigue overdraft is what happens when initiatives keep drawing on the same capacity and no one makes a deposit. The same people cover the difference through extra effort, and fatigue is how it shows up.
Why does AI add to change fatigue?
AI can add to change fatigue when it arrives as another initiative on top of existing work, and when the time it saves has no owner. BCG's June 2026 survey found that most frontline employees who use AI regularly receive limited or no guidance on how to use the time they save. Deloitte found that 61% of the change leaders it surveyed feel AI transformation is moving faster than employees can handle.
Is change fatigue the same as resistance to change?
Not always. People who are out of capacity can look, from the executive suite, like people who are out of enthusiasm. Objections can also reflect trust, feasibility, fairness or the change itself, so leaders need to understand which before choosing a response.
What can leaders do about change fatigue?
Treat capacity as a leadership decision: decide what stops so a new initiative can succeed, give someone a view of the whole load landing on the same people, and give that person authority to act across functions. A simple start is to list every initiative in flight with the names of the people who carry each, then count how many names repeat.