Are fears of AI caused mass job losses founded or exaggerated?

22 August 2025

California based cybersecurity professional Daniel Miessler is concerned AI technologies might result in large scale job losses:

These are people who’ve been making over $100-200K in tech or tech-adjacent for over a decade. And they can’t find work. I mean they can barely get interviews. And when I say a ton, I mean multiple dozen that I either know or I’m one degree separated from. And again, these are not low-skill people. They’re legit professionals that have never in their life had trouble finding or maintaining work.

What Miessler reports is based on anecdotal evidence, but I’ve heard similar stories — likewise anecdata — locally (NSW, Australia).

On the flip side, Sheryl Estrada, writing for Yahoo Finance, citing recent MIT research, says only a handful of companies have been able to effectively integrate AI technologies into their operations:

But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don’t learn from or adapt to workflows […].

Meanwhile Meta (owner of Facebook and Instagram) has paused recruiting for its super intelligence division. This after offering one new hire a one and a half billion dollar salary (over four years).

This might not of course mean anything other than perhaps Meta coming to the realisation it is spending money it doesn’t have. As to the wider question of the threat posed to jobs by AI, I think the jury is still out. No one is, as yet, exactly sure what the impact will be.

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