Middle management is being unbundled by AI

Routine coordination and reporting shrink, while human judgment and leadership become the job.

Article link: https://open.substack.com/pub/johanosteyn/p/middle-management-is-being-unbundled?r=73gqa&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

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For years, organisations treated middle management as the glue: people who translate strategy into plans, chase updates, consolidate reports, and keep projects moving. AI is now pulling that glue apart. Not because leadership is becoming optional, but because the reporting and coordination load can increasingly be handled by AI-native workflows.

IMD recently argued that AI is moving beyond “assist” tools into deeper operational redesign, with reporting-heavy roles among the most exposed as workflows become AI-native. That is the real shift: middle management is being unbundled. The routine parts shrink. The human parts become the job.

CONTEXT AND BACKGROUND

Middle management has always been a mixed bundle of work. Some of it is deeply human: coaching, conflict resolution, trade-offs, and judgment under uncertainty. But a large portion is mechanical: status reporting, scheduling, monitoring performance metrics, writing summaries, creating packs, and nudging others for updates.

AI is particularly effective at the mechanical layer because it thrives on structured information, repeatable processes, and pattern recognition. Upwork’s analysis of how AI is transforming middle manager roles points to exactly this shift: less time spent on oversight and coordination, more time on value-added leadership and problem-solving. 

The tension is that organisations often act on headlines rather than design. If leaders simply “flatten” management layers without redesigning workflows, they often create a new problem: fewer managers, bigger spans of control, and higher burnout. Business Insider recently described the rise of the “megamanager”, where fewer middle managers oversee more people while also doing individual contributor work.

INSIGHT AND ANALYSIS

The key mistake is to treat this as a headcount story. It is a work design story. AI doesn’t just replace people; it changes which parts of a role matter. If the core of your job is assembling reports, tracking tasks, and producing updates, then AI will compress that work dramatically. If the core of your job is shaping judgment, aligning stakeholders, and helping teams navigate ambiguity, your value can rise.

This is why the “death and rebirth” framing resonates. Middle management isn’t vanishing; it is being re-priced. The routine parts are becoming cheaper and faster. The parts that remain are harder, more responsible, and more exposed. As reporting becomes always-on and automated, managers become the people who interpret signals, decide what matters, and take accountability for action. In practical terms, the manager’s craft shifts from chasing inputs to designing systems: defining what gets measured, what gets escalated, who approves what, and what evidence is required when decisions are made.

That last point matters for regulated functions such as finance, compliance, procurement, and supply chain. Reuters recently noted that leaders are excited about AI’s productivity gains but worried about job disruption, explicitly pointing to concern around the middle-management class. The reason is simple: these functions rely on controls. If AI is producing summaries, recommendations, or even decisions, then auditability, approval trails, and accountability become non-negotiable. The “rebirth” of middle management is not about being more charismatic. It is about being more rigorous.

There is also a psychological shift. For decades, the primary path to career progression was “become a manager”. As AI absorbs administrative management tasks, organisations will need stronger senior individual contributor paths and clearer definitions of leadership that are not tied to reporting lines. Otherwise, you end up with inflated titles, shallow leadership, and an overloaded few who are expected to manage everything.

IMPLICATIONS

For CEOs and boards, the question is not “how many middle managers do we need?” It is “what work should exist in the middle?” Use AI to remove reporting friction, but reinvest the time saved into coaching, risk thinking, customer outcomes, and quality. If you flatten without redesign, you may save cost and lose capability.

For CHROs and functional leaders, treat this as a reskilling programme with a clear end-state. Build managers who can run AI-native workflows: define standards, validate outputs, spot failure modes, and make decisions with a clean evidence trail. Gartner’s future of work trends emphasise the growing tension between AI promise and real value delivery, which should be a warning against shallow “AI transformation” narratives.

For middle managers themselves, the survival move is to shift identity. If your role is primarily reporting, you are vulnerable. If your role is judgment, leadership, and accountability, you become more valuable. The work becomes less about producing information and more about deciding what to do with it.

CLOSING TAKEAWAY

AI is not eliminating the need for leadership; it is eliminating the need for managerial admin. That is why middle management is being unbundled. Routine coordination and reporting are shrinking as AI-native workflows take over. What remains is the hard human layer: judgment, coaching, alignment, and accountable decision-making. Organisations that treat this as a simple flattening exercise will create megamanagers, burnout, and risk gaps.

Organisations that redesign work will create a sharper, more capable middle: fewer layers, clearer decision rights, and leaders who spend less time chasing updates and more time making the work actually work.

Author Bio: Johan Steyn is a prominent AI thought leader, speaker, and author with a deep understanding of artificial intelligence’s impact on business and society. He is passionate about ethical AI development and its role in shaping a better future. Find out more about Johan’s work at https://www.aiforbusiness.net