But again, I think you're missing the point of the article. The point of him bragging that he can't remember basic stuff about his own life is both in-group signaling and a test to the interviewer. If the interviewer pushes back and asks "You really don't know your zip code? Are you insane?", the interviewer is never going to get any more time with any of these rich and powerful people. It's an easy way to filter out any critical coverage and a way for the media to show fealty.

The title of the podcast episode is "Jensen Huang vs the AI Doomers", not "Shovel seller is so rich he cannot conceive of what it's like to be a normal person".

And for personal use, I can count on a single hand people I know who pay for an AI subscription, and of those people nobody pays for more than the $20/month plan. And they all just use it as search or maybe to vibecode some one-off party game they use once and then throw away.

I don't know a single person who has done something like run Openclaw or leaves coding agents running on their laptop open all day.

> Some will be like nurses, and some will be closer to a medic and a smaller set will be like doctors. Each with increasingly required knowledge and experience to fulfill a needed role.

Nursing and being a physician aren't really the same thing at all, and they require different skill sets, it's not just "having more knowledge". Just because someone is an amazing surgeon doesn't mean they would also make a good nurse.

> Those who used to be actual software developers are going to be (or have to become) more in the doctor role with years of internship and practical experience to be the architects guiding the overall AI implementation of software development in organizations.

I think you just described a staff swe

> The medics are going to be people who are semi-technical, where they have some technical understanding but they don't dedicate themselves to it, like say product managers, where they jump in to help development along, but don't need to have many years of experience or very deep technical knowledge.

These people already exist. They are the business analysts who know SQL and maybe Python, R, or VBA. Marketing people who work on Wordpress landing pages. People doing systems integration, the IT department, sales engineers, and on, and on, and on.

> At the nurse level, it's probably going to be similar to what people would do in the past with no code tools, where somebody in marketing who knows very little to nothing about coding at all is just going to directly converse with AI systems, but they'll never be likely to get anything more advanced than the tools they could think up for themselves.

You said it, no code/low-code has existed forever.

IMO trying to measure productivity gains is a fools' errand. The only thing that matters is CSAT, escaped defects, retention, cost per contact, and other metrics that measure actual business outcomes.

Ask yourself if AI was so profitable, why don't any of the big hyperscalers break out AI revenue in their earnings. OpenAI and Anthropic both project huge losses for the next couple years, it's not hard to find.

The real problem is, as the GP comment pointed out, that they can never stop training. As long as they're committed to building these behemoth models, the second they stop training, someone else will catch up and everybody will switch over because it's trivial to do so.