AI Will Create Jobs: Reskill, Learn, Adapt. Hogwash

November 19, 2025

green-dino_thumb_thumbAnother short essay from a real and still-alive dinobaby. If you see an image, we used AI. The dinobaby is not an artist like Grandma Moses.

I graduated from college in 1966 or 1967. I went to graduate school. Somehow I got a job at Northern Illinois University administering a program. From there I bounced to Halliburton Nuclear and then to Booz, Allen & Hamilton. I did not do a résumé, ask my dad’s contacts to open doors, or prowl through the help wanted advertisements in major newspapers. I just blundered along.

What’s changed?

I have two answers to this question?

The first response I would offer is that the cult of the MBA or the quest for efficiency has — to used a Halliburton-type word — nuked many jobs. Small changes to work processes, using clumsy software to automate work like sorting insurance forms, and shifting from human labor to some type of machine involvement emerged after Frederick Winslow Taylor became a big thing. His Taylorism zipped through consulting and business education after 1911.

Edwin Booz got wind of Taylorism and shared his passion for efficiency with the people he hired when he set up Booz . By the time, Jim Allen and Carl Hamilton joined the firm, other outfits were into pitching and implementing efficiency. Arthur D. Little, founded in 1886, jumped on the bandwagon. Today few realize that the standard operating procedure of “efficiency” is the reason products degrade over time and why people perceive their jobs (if a person has one) as degrading. The logic of efficiency resonates with people who are incentivized to eliminate costs, unnecessary processes like customer service, and ignore ticking time bombs like pensions, security, and quality control. To see this push for efficiency first hand, go to McDonald’s and observe.

image

Thanks, MidJourney, good enough. Plus, I love it when your sign on doesn’t recognize me.

The second response is smart software or the “perception” that software can replace humans. Smart software is a “good enough” product and service. However, it hooks directly into the notion of efficiency. Here’s the logic: If AI can do 90 percent of a job, it is good enough. Therefore, the person who does this job can go away. The smart software does not require much in the way of a human manager. The smart software does not require a pension, a retirement plan, health benefits, vacation, and crazy stuff like unions. The result is the elimination of jobs.

This means that the job market I experienced when I was 21 does not exist. I probably would never get a job today. I also have a sneaking suspicion my scholarships would not have covered lunch let alone the cost of tuition and books. I am not sure I would live in a van, but I am sufficiently aware of what job seekers face to understand why some people live in 400 cubic feet of space and park someplace they won’t get rousted.

The write up “AI-Driven Job Cuts Push 2025 Layoffs Past 1 Million, Report Finds” explains that many jobs have been eliminated. Yes, efficiency. The cause is AI. You already know I think AI is one factor, and it is not the primary driving force.

The write up says:

A new report from the outplacement firm Challenger, Gray & Christmas, reveals a grim picture of the American labor market. In October alone, employers announced 153,074 job cuts, a figure that dwarfs last year’s numbers (55,597) and marks the highest October for layoffs since 2003. This brings the total number of jobs eliminated in 2025 to a staggering 1,099,500, surpassing the one-million mark faster than in any year since the pandemic. Challenger linked the tech and logistics reductions to AI integration and automation, echoing similar patterns seen in previous waves of disruptive technology. “Like in 2003, a disruptive technology is changing the landscape,” said Challenger. AI was the second-most-cited reason for layoffs in October, behind only cost-cutting (50,437). Companies attributed 31,039 job cuts last month to AI-related restructuring and 48,414 so far this year, the Challenger report showed.

Okay, a consulting recruiting firm states the obvious and provides some numbers. These are tough to verify, but I get the picture.

I want to return to my point about efficiency. A stable social structure requires that those in that structure have things to do. In the distant past, hunter-gathers had to hunt and gather. A semi-far out historian believes that this type of life style was good for humans. Once we began to farm and raise sheep, humans were doomed. Why? The need for efficiency propelled us to the type of social set up we have in the US and a number of other countries.

Therefore, one does not need an eWeek article to make evident what is now and will continue to happen. The aspect of this AI-ization of “work” troubling me is that there will be quite a few angry people. Lots of angry people suggests that some unpleasant interpersonal interactions are going to occur. How will social constructs respond?

Use your imagination. The ball is now rolling down a hill. Call it AI’s Big Rock Candy Mountain.

Stephen E Arnold, November 19, 2025

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