The more efficient we get, the more there is to do

For a long time, organisations 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, writes Grant Wyatt.

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 organisations, 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 around what people can do faster than leaders are deciding what they should do. The result may not be transformation; it could be congestion at industrial scale.

The productivity illusion

Most organisations 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 organisation 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 organisation’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.

Responsibility, therefore, starts with the individual. Clean your workflows before you automate them. For every recurring task, ask why it exists, who uses it and what happens if it stops. Then test AI-assisted work against reality, and the business strategy, before it reaches another person’s inbox.

If AI saves you five hours and you fill them with more low-value output, or blast that work volume elsewhere in the business, you have not gained productivity; you have expanded inefficiency.

Managers as architects

The next generation of managers will be architects of work. They must understand how work flows across the business, where expertise genuinely matters, which decisions can move closer to the technological edge, and where accountability cannot be handed to a machine. That takes systems thinking, commercial judgement and disciplined execution. Prompt engineering is not enough.

The gap between individual AI use and organisational value is widening. Employees report personal productivity gains, but far fewer say AI has changed how work gets done across the organisation. The strongest predictors of real impact are manager support, workflow integration and clear direction, not just the tools themselves.

Without that architecture, the industry promise of leaner teams and flatter structures isn’t realistic. Unless the work itself is reduced, fewer people simply carry more ambiguity, operating with weaker controls and hidden workloads.

Future work design

Work design used to be something organisations did to employees. Increasingly, employees are co-authors of it.

Those who succeed will not be the companies with the most tools, the highest adoption or the most enthusiastic staff. They will be disciplined enough to remove work that does not matter, courageous enough to challenge outdated structures, and mature enough to demand greater responsibility alongside greater capability.

AI will not fix your organisation. It will scale whatever already exists: its clarity or its confusion, its discipline… or its waste.

Grant Wyatt is a Melbourne-based HR executive, author, and keynote speaker focused on responsibility-centred leadership, workplace culture, AI, and the future of work.

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