Middle managers have long occupied one of the least enviable positions in the workplace: translating strategy from above, coordinating work below, monitoring progress, chasing updates and somehow remaining responsible when the whole thing goes sideways.
Now AI may be coming for the meeting agenda too. As AI agents become more capable of coordinating tasks, tracking deadlines, monitoring workflows, summarising performance and escalating problems, some functions traditionally associated with middle management may increasingly be performed by technology.
So, does the future workplace still need middle managers? Probably. But perhaps not in quite the same way.
AI may become very good at coordination
The main responsibilities born by management involves moving information around an organisation to determine:
- Who is doing what?
- What is overdue?
- Where is the bottleneck?
- What needs approval?
- Who needs to know?
AI’s ability to monitor multiple streams of information, identify patterns and provide updates without requiring yet another Monday morning status meeting makes it well suited for the role. An AI system could potentially allocate routine tasks, track progress, flag delays and prepare performance summaries before a human manager has finished their first coffee. For employees who have spent years updating spreadsheets so somebody else can update a different spreadsheet, this may not be entirely unwelcome.
Managing work is not the same as leading people
The mistake, however, would be assuming that coordinating work and leading people are the same thing.
AI may be able to tell a manager that an employee has missed three deadlines. It may even identify a pattern and recommend an intervention. What it may not understand, however, is that the employee is struggling, the team is exhausted, the deadline was unrealistic or the problem began three departments away.
Management requires context. Leadership requires even more. It involves building trust, navigating conflict, motivating people, coaching employees, exercising judgement and sometimes recognising that what looks inefficient on a dashboard makes perfect sense when you understand the humans involved.
The more administrative management AI takes on, the more important these human capabilities may become.
The manager’s job may move up the value chain
Outsourcing more routine coordination and monitoring to AI agents affords managers more time to manage information and people.
That sounds promising. The future manager may spend more time coaching, developing capability, solving complex problems and helping employees work effectively alongside AI. They may also find themselves managing a mixed workforce in which some work is completed by people, some by AI agents and some through collaboration between the two. Suddenly “Who’s doing what?” becomes a considerably more complicated question.
Don’t remove the manager. Redesign the role.
The arrival of AI does not necessarily signal the end of middle management, but it may force organisations to examine the new look role of managers.
If much of a manager’s value comes from collecting updates, moving information and monitoring routine work, AI may expose how much of the role could be redesigned.
But if managers use the capacity created by AI to lead, coach, exercise judgement and help teams navigate change, their value may increase rather than diminish.
At GAPS Professional Writing, our workplace AI training helps leaders prepare for a workplace in which managing work increasingly means managing the interaction between people and AI. AI may become an excellent coordinator but that does not automatically make it a good leader.