Human–AI Work
What must people still understand when AI does more of the work?
A better output can obscure what its author has understood. How can organisations develop the expertise to assess AI-assisted work?
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Human–AI Work
Using AI is not the same as working well with it.
Look beyond adoption and time saved to the quality of the work and the demands it places on colleagues.
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Decision Systems
Why an agreed decision may still change nothing.
An approved priority may leave existing commitments untouched. What must management resolve before the business can act?
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Research behind the questions.
A few sources explored in these articles, with their scope and findings kept in view.
Does AI assistance enhance or erode expertise? ↗
Autor and colleagues, 2026 · Working paper
A field experiment in patent drafting examines both the quality of AI-assisted work and what professionals learn from it.
The Cybernetic Teammate ↗
Dell’Acqua and colleagues, 2026 · Organization Science
A product-innovation experiment at P&G explores how AI affects individual and team contributions.
Why accelerated resource allocation matters in the age of AI ↗
McKinsey, 2026 · Management survey
Reported differences in how organisations commit and shift resources as priorities change.