MyNotes: AI Job Impact Potential

This is fascinating. People losing their jobs over the POTENTIAL of GenAi’s ability to do that work:

…findings suggest that the phenomenon of AI taking jobs and reducing hiring is somewhat artificial…

…organizations are having difficulty establishing the economic value of generative AI: 44% said that it was the most difficult form of AI technology to assess in that regard (harder to value than analytical AI, deterministic AI, and agentic AI).

Overall, however, 90% of the survey respondents said that their organizations are getting either moderate or a great deal of value from AI.

Crazy, huh? I see value in GenAI every day, and I learn what things it can do that I wouldn’t even begin to know how to do (vibe-coding). But it’s a problem that business is firing people because of what they think AI will do, not what it has done.

Image Source: https://www.techspot.com/news/110983-ai-hype-meets-reality-majority-ceos-report-no.html

The biggest risk isn’t that AI “doesn’t work”—it’s that leadership measures potential while employees live the implementation, and that gap can turn a promising tool into a credibility crisis where “productivity gains” quietly become redistributed labor: more checking, more cleanup, and more pressure—without the time savings anyone promised. (source)

Worse, I suspect these executives have less clue about Gen AI use than some of the employees they are terminating.

In the meantime…this is adapted from a Section presentation…there is a world of work in this and firing folks prematurely, without capacity building is dumb.