For a long time, organizations have been built around scarce expertise. Specialists and technical experts held the knowledge, managers controlled the workflow and anyone needing help outside their lane made a request and waited.

AI has removed the wait. An employee can now interrogate financials, draft strategy, test policy assumptions and challenge technical claims, all before lunch. That is an extraordinary expansion of individual capability and, for most organizations, an unmanaged one.

There is a lot of talk about AI eliminating work. An emerging risk is that it will multiply it. Artificial intelligence is dissolving the boundaries of what people can do faster than leaders decide what they should do. The result may not be transformation; it could be congestion at industrial scale.

The productivity illusion

Most organizations have always been brilliant at circulating internal information: emails, reports, dashboards, decks, approvals and meetings. Mention meeting volume to any professional and watch them flinch. Now give everyone the ability to produce that activity 10 times faster, and you have not eliminated bureaucracy; you have compounded it.

Everyone looks busier. More documents appear, more decisions demand review, and more work lands in someone else's inbox. The organization becomes more congested even as its people become more efficient. This is why adoption rates, individual hours saved and volume produced are vanity metrics: they measure motion, not value.

Of course, automating a pointless process does not make it valuable. It makes waste travel faster. So, the leadership question is not "How do we accelerate everything?" It is "What deserves to exist?" Did we remove unnecessary work? Did we improve a decision? Did we create commercial value?" If not, AI has simply expanded the organization's capacity to be ineffective.

AI and agency

AI increases individual agency, but agency without responsibility creates noise.

Everyone can now produce a board-ready analysis, a customer proposition or a technical recommendation without the expertise, authority or context to validate it. But the ability to generate output says nothing about whether that output should exist.

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