A Leader’s Guide to Managing the Transition
There is a moment more managers are going to face. A process that once required several people can suddenly be automated. AI can produce in minutes what previously took hours. Customers begin expecting faster responses. The business sees an opportunity for productivity. And the team looks at the manager.
What happens now?
This is where automation stops being primarily a technology question and becomes a leadership question. Because the manager isn't simply implementing a new system. They may need to redesign work, develop new capabilities, maintain performance, reassure customers, manage uncertainty and help people navigate what the change means for their careers. And while doing all of that, there is another question they cannot avoid:
What does this change mean for me as a leader?
The scale of the transition is significant. The World Economic Forum estimates that 39% of workers' existing skills will change or become outdated by 2030, while 59 out of every 100 workers will require some form of training.
This isn't simply an automation project. It is a capability transition.
Start with the work, not the jobs
One of the easiest mistakes is to jump directly from automation to headcount.
“If technology can automate 30% of this role, do we need 30% fewer people?”
But jobs don't divide that neatly. Most roles are combinations of activities: administrative, analytical, relational, repetitive, creative and judgement-based. So before redesigning jobs, redesign the work. Ask:
What should technology do?
What should people continue doing?
What should disappear altogether?
And what can people now do that they previously didn't have capacity to do?
That last question matters. If automation gives somebody five hours back each week, the leadership opportunity isn't simply to capture five hours of efficiency. It is to decide what those five hours should become.
More customer interaction?
Better analysis?
Problem solving?
Business development?
Coaching others?
Innovation?
Automation should create capacity for higher-value work, not simply remove tasks. Gartner's 2026 Australian research provides an interesting example. It found 38% of Australian employees were expected to use AI in their role, while employees combining enterprise and personal AI tools were 2.2 times more likely to report significant time savings. The strategic question is what organisations do with that capacity.
Follow the work with capability
Once the work changes, the capability required to perform it changes too. Consider someone whose role has traditionally involved gathering information, producing reports and presenting them to customers. AI may increasingly gather the information and produce the first version of the report. The employee may therefore spend less time producing information. But they may need to become much better at:
interpreting it, challenging it, identifying what matters, communicating it, understanding the customer's situation, and recommending what happens next. The role hasn't necessarily disappeared.
The value within the role has moved.
This is where upskilling needs to become much more deliberate. The World Economic Forum reports that 85% of employers expect to prioritise workforce upskilling, while 50% anticipate transitioning employees from declining roles into growing ones. But sending everybody on an AI course isn't a capability strategy. The better question is:
What will make this person more valuable in the new workflow than they were in the old one?
Sometimes the answer will be technology skills. Sometimes it will be judgement, communication, customer engagement, commercial thinking, leadership, problem solving or critical thinking. Upskilling should follow the future work-not the latest training catalogue.
The leader has to transform too
This may be the uncomfortable part. Managers cannot ask their teams to reinvent themselves while assuming their own role will remain unchanged. Think about how much management time is currently spent collecting information, preparing reports, scheduling, following up, monitoring activity and coordinating people. AI and automation will increasingly support many of those activities. So leaders need their own capability conversation.
What parts of my role are becoming less valuable?
What can technology increasingly do for me?
Where should I stop spending my time?
What does my team now need more of from me?
Perhaps the answer is coaching. Judgement. Commercial thinking. Customer relationships. Decision-making. Developing people. Navigating ambiguity. Creating alignment. Leading change.
The manager's role may increasingly shift from managing activity to leading capability. And that transition deserves as much attention as the technology itself.
Give people somewhere to move towards
This may be one of the most important responsibilities of leadership. Tell someone:
“AI could automate 40% of your current role.”
And they may hear:
“40% of my value is disappearing.”
Now change the conversation:
“Technology can remove much of the administration from your role. That creates an opportunity for you to take greater responsibility for customers. These are the capabilities you'll need, this is how we'll help you develop them, and this is what the future role could look like.”
The technology hasn't changed. But the transition has.
People need more than an explanation of what is disappearing. They need a credible picture of what they can become.
We should also be realistic.
Not every automation transition will preserve every role.
Some work will disappear. Some organisations may ultimately need fewer people in particular areas. Leadership doesn't mean avoiding those realities. It means managing them with clarity, honesty and dignity.
And don't forget the customer
There is one more participant in this transition. The customer.
If something that previously took two days can now be delivered in two hours, customer expectations will eventually change. If AI can provide information instantly, customers may value the professional who can tell them what that information means and what they should do about it.
So don't only ask:
How much more efficient can we become?
Ask:
What does this allow us to do better for the customer?
Respond faster? Provide better insight? Reduce errors? Personalise service? Spend more time understanding their business?
Manage the human transition
There is another mistake organisations make. Leadership decides. Technology is selected. The system is implemented. Employees receive training. Then somebody communicates the change. That may implement technology. It doesn't necessarily manage transition.
Korn Ferry found an interesting perception gap in its Workforce 2025 research: 78% of leaders said they believed they had AI figured out, while only 39% of workers agreed.
That gap matters. Because employees don't experience automation through a strategy presentation. They experience it personally.
What happens to my job?
Will my experience still matter?
Can I learn this?
Will I still be valuable?
What happens if I can't adapt quickly enough?
Leaders won't always have every answer. But silence creates its own answers. Sometimes the most credible thing a manager can say is:
“We don't know everything yet. Here is what we know, here is what we're testing, and here is how we'll work through it together.”
And involve people in redesigning the work. Ask them:
Where are we wasting time?
What would you automate tomorrow?
What should never be automated?
Where does human judgement matter?
What would you like to spend more time doing?
What capability would you need to do it?
People should not simply be recipients of transformation. Wherever possible, they should participate in designing it.
Solve problems proactively?
Automation becomes strategically valuable when customers experience the improvement.
Five conversations every manager should be having
If I were managing a team through significant automation, I would make sure five conversations were happening.
With myself
How does my leadership role need to change?
With each individual
How is your work changing, and what capability will make you valuable next?
With the team
How do we need to work differently together?
With the organisation
What systems, investment and support will make this transition possible?
With our customers
How can this change create a better outcome for you?
If one of those conversations is missing, the transformation is probably incomplete.
The objective isn't automation
Technology will continue getting better. Work will change. Roles will evolve. Some activities will disappear and new ones will emerge. But becoming the organisation that automates the most shouldn't be the objective. The objective is to build an organisation capable of creating greater value as technology changes what is possible. That requires technology. But it also requires judgement.
Learning. Trust. Leadership. Customer understanding.
And people prepared to develop beyond the work they have historically performed. Perhaps the question managers should therefore be asking isn't:
“How do I get my team ready for AI?”
It is:
“How do I help my people-and myself-move from the work technology is changing towards the capability our customers and organisation will need next?”
Because automation may change the work.
But leadership determines how people make the transition.
Written by Gerald Garcia