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AI Killed Job Security: How to Survive in a Post-AI Workforce

AI Killed Job Security: How to Survive in a Post-AI Workforce



Join Malcolm and Simone as they discuss the shifting landscape of the job market and how we need to adapt both our professional lives and parenting strategies to a future dominated by AI and automation. They explore the historical context of traditional jobs, the rise of gig work, and the proliferation of AI, and reflect on practical steps to prepare the next generation, including fostering AI literacy, hands-on skills, and strong personal networks. The conversation also touches on the implications of Universal Basic Income and the need for children to build unique, high-value skills in a rapidly changing economic environment.

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Hello, Simone. I'm excited to be here with you today. Today, we are going to be discussing the fact that if you are young, Today, or you are raising kids today, you need to be raising them for a post job economy.

Yeah.

Making very different decisions about the way that you help them prep for, well, being financially stable as an adult. And it also means in terms of your own decisions. I think for a lot of us, we will be in a post job world. What do you think? 25 years?

Yeah, well, the future is here. It's just not evenly distributed.

I think there are many people now who are losing their jobs and we'll never get one again, period. Mm

hmm. And here when I say job, I mean traditional nine to five, like recurring revenue. That is, and Simone, do you want to go into like what is causing the end of the concept of a job? And I first note here for a lot of people who think that this is like an insane thing, jobs are a fairly recent invention.

They were really only invented as like a math thing in like the 1920s.

And this concept of having a lifelong job and getting a gold watch and having a pension that I, it was such a short lived phenomenon. It's hard for me to imagine that, like, how did we ever get that impression that it was going to be that way forever?

Yeah. Go into this.

Yeah. So I think already for a long period of time, we've seen a very slow easing into this and it hasn't just been about AI. And I think that also the way that job reports are coming in there's a lot of under reporting because obviously they're not reporting people who stopped looking for a job entirely and the number of people who are living now by gig work and piecing together a lot of jobs, including short term jobs, is just so high now.

I don't, and I count those as jobs and I don't think most people count them as like long term jobs either because they're not sustainable, they get laid off all the time or they change jobs all the time. So I want

to elevate something you said here because I think that a lot of people might miss this.

And it's what was the economic pressure that led to the concept of a nine to five job that stopped existing long before AI? The reason why you had quote unquote jobs and the skyscrapers that house these people back in the day, it was largely due to the difficulty of long distance communication.

So,

If I was a company and I wanted somebody who was. at X task. Okay. And I wanted to be sure I had somebody who is competent at X task this year and I had somebody who is competent at X task in 10 years or five years or next year. The most cost efficient way to get one of those people was to source.

A competent sort of blank slate and train them in that task. Maybe somebody who had a bit of training in that task to begin with. And so the way I would do this is I would go to the most elite universities or the universities in my area as sort of an authentication mechanism. I would find individuals who are graduating.

And I would say, okay how well, you know, how well are you? Like, how smart are you generally? And I can get that from their GPA. And then I would hire them. And then I would train them up as m


Published on 6 months, 3 weeks ago






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