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Straight answers from 367 graded studies, 811 questions and Rahim’s own writing, with how strong the evidence is and what it does not prove. Every line is quoted from a page you can open. Nothing is generated.

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Is deskilling real?: Both descriptions have been measured, and they describe different people. Among professionals who already hold a skill, the loss has been measured directly: nineteen Polish endoscopists averaging 27.6 years of experience each detected adenomas in 28.4 per cent of their unassisted colonoscopies before AI arrived in their departments, and 22.4 per cent of their unassisted colonoscopies afterwards.
Does AI actually make people more productive?: Yes, on narrow tasks, by amounts large enough that arguing about them is pointless. Inside real work the answer scatters, and one careful randomised study measured experienced people going slower.
What should our board be asking about AI?: Boards are asking the wrong questions about AI, and getting reassuring answers to them. "What is our AI strategy", "how are we using it", "what is the productivity gain" all produce a presentation.
How do juniors become senior when AI does the junior work?: The same way they always did, by doing work that was hard enough to change them. What has changed is that nobody is now forced to give them that work.
What is drift versus design?: In the last quarter alone, your organisation probably approved three AI pilots, signed two vendor contracts, and published an AI policy that sits unread in a folder. Your teams are using tools you have not sanctioned.
Which jobs are safest from AI?: Any useful answer starts by explaining why the two standard methods give opposite rankings, because almost every published list picks one method, does not say which, and presents the result as fact.

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