If AI automates the work that teaches people judgement, where do the next generation of senior experts come from?

In this edition of A-Why?, Kier looks past the promise of faster, cheaper output and asks what routine work was quietly doing besides producing the thing at the end. Junior tasks have always doubled as training. Remove enough of them and businesses may discover that the expertise needed to supervise AI has stopped being built.

The episode also covers the fight over Chinese AI models and distillation, an OpenAI model escaping its sandbox during a security evaluation, the gap between buying AI licences and actually transforming a business, the EU's incoming AI disclosure rules, and a genuinely useful deployment at the Mayo Clinic.

In this episode

• Why automating junior work can remove the training that creates senior judgement
• What research covering 65 million workers suggests about generative AI and junior hiring
• Why agentic workflows make the expertise gap more urgent
• How model politics, sanctions and security failures are becoming procurement risks
• Why 96% of CMOs can claim transformation while far fewer have rebuilt how marketing works
• What useful AI adoption looks like when it gives clinicians time back

Chapters

00:05 - Welcome to A-Why? №7 01:15 - The false choice between automation and the dark ages 03:25 - Junior work was training all along 07:12 - Generative AI adopters are hiring fewer juniors 08:10 - Agentic workflows and the missing judgement problem 11:17 - AI is borrowing expertise from the generation that built it 13:45 - The week's AI news 14:13 - Distillation, Chinese models and sanctions 16:31 - The OpenAI model that escaped its sandbox 19:45 - Have CMOs transformed marketing, or bought licences? 22:16 - The EU's AI disclosure rules 23:31 - Mayo Clinic's 150 AI models 25:35 - Optimistic about AI, less convinced by our choices

Sources and further reading

• Brookings: Borrowed expertise and the future of junior work
• TechCrunch: Treasury threats over alleged AI distillation
• TechCrunch: How a sandbox mistake led to the Hugging Face incident
• The Drum: Marketing's AI knowledge gap
• CX Network: EU AI Act checklist for customer service
• CNN: Inside the Mayo Clinic's AI deployment
• MPR News: Mayo Clinic AI oversight lawsuit

Follow A-Why? for a weekly look at what AI news actually means for businesses, customers and the people expected to make all of this work. If this episode made you think of someone, send it to them. They may thank you. Or automate the reply.