The correct visionary predictions about AI and Creative intelligence from 2013 and the new top AI leaders rediscovering them and repeating it literally a decade later when they became obvious for the laymen

 Sam Altman, CEO of OpenAI, founded in 2015 in 2023:

        https://www.youtube.com/shorts/VVBAy1cPACw 

"Yeah, it probably is just like, we look in a hundred years, it can do the whole creative job ... I think it's interesting that if you asked people 10 years ago about how AI will have an impact, with a lot of confidence from almost ... most people you would've heard ... first it's gonna come from the blue collar jobs, working in the factories, truck drivers, whatever ... Then it will come from the low skill white collar jobs. Then the very high skill, like really high IQ white collar jobs, like programmer or whatever... and maybe very last of all and maybe never, it's gonna take the creative jobs. ... and it's really gone exactly ... it is going exactly the other direction.  ... I think there's  an interesting reminder here, generally about how hard predictions are, but more specifically about we're not always very aware .. maybe even ourselves of what skills are hard and easy. Like what uses most of our brain and what doesn't  .... how difficult bodies are to control or make or whatever. ", 28.2.2023 (video date),      "We thought it would be blue collar jobs, but creative, white collar jobs find themselves in the early crosshairs for AI technology."

Todor Arnaudov,  founder, "CEO", "CTO", "R&D" and "blue collar" at The Sacred Computer AGI institute, founded in 2000:

" Creative Intelligence will be First Surpassed and Blown Away by the Thinking Machines, not the "low-skill" workers whose jobs require agile and quick physical motion and interactions with human-sized and human-shaped environment",  published on 2.10.2013:
(an answer to wrong prediction by an "expert", hugely cited afterwards and hired by Oxford University) https://artificial-mind.blogspot.com/2013/10/creative-intelligence-will-be-first.html

"""(...)

The "creative intelligence" is hard for the humans, especially hard for average people and average researchers, engineers or whatever to understand and explain.

They don't understand their own intentions, "schema", behavior, reasons, they don't know why they do or choose precisely what they did etc., can't remember and analyse that information good enough.

And the overall problem is not that versatile general intelligence is so complex, it is that the humans are too dumb to fit it in their tiny "RAM".

(...)

"The low-skill workers which are agile and fit in human environment (for example waiters) are harder to get replaced by humanoid robots - those robots are not yet mass produced and for a long time will be more expensive and harder to build than to hire a human. Also humans like human waiters, especially attractive women.

For the intellectual jobs - it's much easier to pick a computer, run the appropriate software or connect it to the service, and get it thinking - you already have decent cameras, microphones and many sensors even in smartphones.

There are tens of billions of already available computers - or much more? - and many of them in my estimates are fast enough even now, and even 5 or 10 years ago, for many "highly intellectual" human-level and super-human level activities.

Actually computers were super humans for many decades - from the beginning, but that's another topic.

The bottom line is that the "white collars" are more endangered in current-time economy. Perhaps that kind of economy could hardly survive the AGI revolution.

I guess it may turn upside down for a while - the low-skill workers could get higher pay, because intellectual activities will be done in 1 ms for free... ;)

We, the smart guys (the smart asses, see "Super Smartasses" the graphical series ) wouldn't be needed by anyone... Not that we are needed now. :))

Maybe the change won't be that big. :D

""""

One of the side reasons for the incompetence of the "experts" up to now when they see the obvious, is that they themselves are "white collars" and they see the "blue collars" as inferior to them.  Actually many of the so called "clever" or "high IQ" white collars are not such, the metrics are wrong etc. (...)

See other comments by the same author in this email list etc. [AGI List] in the early 2010, such as that "intelligence is way simpler than it seems" (for the most humans, who don't understand or hardly cope even with trivial creative writing, music composition or performance; or programming etc.** ).

Of course, also the Moravec paradox, however it was not about the "creative" part, it's about "computers do only what tell them to do". Creativity was supposed to be something else and "radically different" and this is reflected in the wrong view of most homo sapiens.

...

If you can, join and support:

The Sacred Computer: Thinking Machines, Creativity and Human Development
The true visionary AGI research institute, even when it was run by a single boy with his obsolete PCs in late 1990s-early 2000s. LOL. (See the book below: ....*)

Visit and participate in the online year-long virtual conference Thinking Machines 2025/SIGI-2025:

https://github.com/twenkid/SIGI-2025

* The world's first modern AI strategy was published in 2003 by an 18-years old Bulgarian and replicated and implemented by the whole world 15-20 years later: The Bulgarian Prophecies: How would I invest one million with the greatest benefit for my country?, T.Arnaudov, 31.3.2025, a monograph/"multigraph", 248 pages

https://artificial-mind.blogspot.com/2025/04/the-worlds-first-ai-strategy-was-published-in-2003-by-an-18-years-old-bulgarian.html


Edit: 5.8.2025

Sam Altman says world wants 1000x more Software, So Programmer Salaries are Skyrocketing
https://www.finalroundai.com/blog/sam-altman-says-world-wants-1000x-more-software
Jul 30, 2025

"The  AI completed "almost all of the work" in just "5 minutes," he said. A year ago, "you would have paid a very high-end programmer 20 hours, 40 hours something like that to do" the same task. With AI, it cost "probably less than a dollar's worth of compute tokens."

"I have never seen a technology revolution quite like this," Altman said, calling the change "amazing" and "unprecedented."

He noted that knowledge work costing $10,000 a year ago now costs "a dollar or 10 cents." Looking ahead to 2030, he predicted "a software application written" for $100,000 might "cost literally 10 cents.""

Todor: However, Sam is a salesman. Something may "cost", to have a label with $100K, but no customers who would pay for it. Also something that may cost $100K in a corrupted chain could be replaced by something that cost $1K or is free or negligible for the user (e.g. free software) or requires a small tweak. The prices are elastic in general. 

Some "new" or "custom" software actually can be produced by a little modification of existing ones, that's something which human developers have been doing almost since the beginning, except when they had or have to write the very basic foundations when there's "nothing available", but even then they construct from existing parts and the whole programs were of a much smaller scale (up to simple subroutines for calculations, division, multiplication of integers on the early CPUs; floating point operations etc.)

A lot of the software and creation of everything is cloning, and a more versatile and general system can replace and make redundant all kinds of specialized or niche tools, that was envisioned in Sacred Computer in the 2000s and early 2010s.

One thing which prevented it to happen yet was the lack of generalization and a phenomenon which is analyzed in "The First Modern AI Strategy...", T.A., 31.3.2025 from SIGI-2025.

The huge datasets with example and the ML methods replaced the generalization.