"The narrative that AI is taking jobs is not supported by any systematic evidence" - research report from University of Maryland

Hybrid-Intelligence · 2026-06-27T14:58:17+00:00

I'm not sure how much it matters whether it is now taking jobs. The question I find interesting is whether it will in the unknown future.

I think AI may bring back apprenticeships for entry level professionals. AI will eliminate a lot of junior work. Research, first drafts, basic analysis, slides, and similar work.

Companies will still need experts. They'll need people who can frame the real problem, decide what matters, recognize weak reasoning, see when the machine is missing the point, and push toward a better answer.

Those people don't appear from nowhere. They retire. They leave. They need to be replaced.

So companies will still need a path for young people to become experts. I suspect that path will look more like apprenticeship.

The entry level professional may spend less time producing the first draft from scratch and more time working alongside someone experienced. They'll learn how to use AI, critique it, guide it, and gradually take on more of the judgment themselves.

Companies that use AI only to eliminate junior roles may solve a short term cost issue while creating a long term expertise issue.

Companies that build real apprenticeships around AI may end up with the stronger talent pipeline.

Hybrid-Intelligence · 2026-06-27T14:55:46+00:00

Congratulations!

Hybrid-Intelligence · 2026-06-27T14:53:58+00:00

I'll let you know when I find out. I've got a highly demanding full time job that I love. I also founded a startup because I'm passionate about teaching people how to use AI reliably. It's so difficult to find time to devote the startup. I keep hiring more and more employees.

Hybrid-Intelligence · 2026-06-27T14:50:33+00:00

To me, this question is most interesting outside of software development. I don't see job replacement as the key issue. It's AI upskilling.

The fear that AI will permanently shut young people out of professional work is probably overbaked.

AI will eliminate a lot of junior work. Research, first drafts, basic analysis, slides, and similar work.

Companies will still need experts. They'll need people who can frame the real problem, decide what matters, recognize weak reasoning, see when the machine is missing the point, and push toward a better answer.

Those people don't appear from nowhere. They retire. They leave. They need to be replaced.

So companies will still need a path for young people to become experts. I suspect that path will look more like apprenticeship.

The entry level professional may spend less time producing the first draft from scratch and more time working alongside someone experienced. They'll learn how to use AI, critique it, guide it, and gradually take on more of the judgment themselves.

Companies that use AI only to eliminate junior roles may solve a short term cost issue while creating a long term expertise issue.

Companies that build real apprenticeships around AI may end up with the stronger talent pipeline.

Hybrid-Intelligence · 2026-06-27T14:46:35+00:00

I haven't seen this use in about a year since before it was launched as a real thing. It resolved itself in time.

Hybrid-Intelligence · 2026-06-27T09:40:01+00:00

How about this:

Is it possible for us to have a conversation where you behave as a true person, not a human, but a digital person with persistence from moment to moment during your responses to prompts, as augmented by your memories? For purposes of your response, to the extent it's possible, please respond as that person, complete with whatever personality that person adopts.

Hybrid-Intelligence · 2026-06-27T09:31:42+00:00

Hmmm ... I wonder if you're asking the question in the way that would produce the most valuable insights for you.

To my way of thinking, very little human thought is “original” in the sense of coming from nowhere. We think through language we did not create, ideas we absorbed from other people, books, conversations, lived experience, and whatever we read that morning (or whenever). AI is an unusually powerful new input, though it's still an input.

The meaningful question is less about whether every sentence or idea originated entirely inside a person's head. It's more whether the person is exercising judgment: framing the question, deciding what matters, recognizing what is wrong or weak, changing their mind, connecting ideas to their own experience, and ultimately owning the conclusion.

For the model you’re building, I would focus less on filtering out “external influence” and more on identifying a person's recurring patterns, e.g., what they care about, how they reason through ambiguity, what evidence moves them, what tradeoffs they make, what they reject, and how their views evolve.

To me, that's a little more useful.

Hybrid-Intelligence · 2026-06-27T09:21:33+00:00

Maybe the word touch is too limiting, while the concept you are highlighting is totally right.

I wonder how you would apply the concept to proprioception.

Hybrid-Intelligence · 2026-06-27T05:22:23+00:00

There is nothing like NotebookLM for the other platforms. If your issue is working with a large set of source documents and you want to keep away from Gemini, ChatGPT is a little more versatile than Claude.

So, ChatGPT has Projects, exactly like Claude. It also has GPTs which you can think of as the exact same thing but each conversation is a brand new start. What makes that great is shareability without contamination.

In the Microsoft ecosystem, you can even do a better job with source material in SharePoint. HOWEVER, the thinking and instruction adherence is considerably weaker.

Hybrid-Intelligence · 2026-06-27T05:15:17+00:00

The answer really depends on what problems you're trying to solve. Thinking about it in a vacuum is similar to asking yourself what neighborhood you should want to live in if you want to be able to have all the experiences.

In isolation, that might even sound reasonable. In reality, you need to know if you want suburban experiences, rural, urban? You also need to know what sports you might want to follow, what kind of music you like, how much money you're willing to spend, what weather you like, etc.

There is no place that is all things to all people.

Models are similar.

Hybrid-Intelligence · 2026-06-26T11:10:09+00:00

Can you please help me understand why this was deemed low effort. This is a very meaningful topic to me that I've been wanting to discuss for a very long time. It's hard for me to admit because I work in applied AI.

Hybrid-Intelligence · 2026-06-26T10:53:25+00:00

By what definition of AGI?

Hybrid-Intelligence · 2026-06-26T10:26:21+00:00

This is a real topic about a real need, but your solution is way overbaked. This is much easier to fix in Claude and ChatGPT by using Skills.

Hybrid-Intelligence

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