#204: AI Answers - What Should Stay Human, AI Pricing vs. Labor Cost, Leapfrogging Digitalisation, Getting Legal On Board & Do Reasoning Models Actually Reason?

Billable hours are in the past, human creativity gets its strongest case yet, and Paul explains what happens when ten AI agents start collaborating like a marketing team. Paul and Cathy tackle 16 real questions on career pivots into AI, the risks of over-reliance on productivity gains, enterprise training personalization, labor replacement pricing, whether AI actually reasons, and what leaders should do with the time AI is giving back.

00:00:00 — Intro

00:05:05 — How do you transition into AI without a coding background?

00:06:03 — What are the best AI skills to learn while job searching?

00:08:56 — Should consultants bill for time spent experimenting with AI?

00:11:44 — How do we make sure AI productivity isn't quietly weakening our thinking?

00:14:17 — What's the best reframe for creatives who see AI as a threat?

00:19:04 — How do you wrangle a Wild West AI free-for-all at your company?

00:20:45 — How do you personalize AI training at the enterprise level?

00:23:41 — How do you get legal stakeholders to enable AI adoption instead of blocking it?

00:28:06 — How will AI adoption pick up in traditional industries like manufacturing?

00:31:24 — Can companies behind on digitalisation leapfrog ahead with AI?

00:34:33 — Will AI companies eventually price based on the labor they replace?

00:37:55 — What is a swarm of agents and why does it matter?

00:43:34 — Do reasoning models actually reason or just predict the next word?

00:46:54 — Should AI companies be regulated to preserve diversity of thought?

00:49:34 — If AI can solve advanced math, why can't it solve technological unemployment?

00:52:40 — How do we make sure AI gives us time back instead of just more work?

Show Notes: Access the show notes and show links here

This episode is brought to you by Google Cloud:

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