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

About this episode

The episode discusses the implications of AI on careers, productivity, and enterprise training while addressing common questions about AI adoption and reasoning.

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…

People in this episode

Hosts: Paul Roetzer, Mike Kaput

Guest: Cathy

Topics covered

• AI career transitions
• AI productivity
• enterprise AI training
• AI adoption
• digitalisation
• AI reasoning

Keywords

• AI
• productivity
• career pivots
• digitalisation
• enterprise training
• reasoning models
• labor costs

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