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All right, welcome to another deep dive.

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We're tackling a question that seems to be

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on everyone's mind these days,

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is AI coming for our jobs?

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It's definitely a question we're all thinking about.

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Yeah, to help us unpack this,

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we're diving into a YouTube video

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by AI expert Julie McCoy.

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And you know, she's not just talking the talk,

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she's actually running a company building AI, so.

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Yeah, she's got skin in the game, for sure.

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Exactly, she's in the thick of it.

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And it's interesting because there is a lot of anxiety

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around this topic.

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Oh yeah.

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People were worried.

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But you know, today we're not trying to scare anybody.

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For sure.

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We just want to make sure people understand

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what's happening so they can make, you know,

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good choices about their own future.

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Absolutely, and McCoy kind of gets right to it,

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right off the bat, she mentions that McKinsey study,

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I think everyone's heard that stat,

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that they 20, 30, 30% of jobs will be automated.

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Yeah.

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But then she kind of hits you with this like,

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oh, and by the way, AI researchers are now saying

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full automation is going to happen

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a lot sooner than we thought.

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Yeah, that was a bit of a wake up call,

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I think for a lot of people.

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Like researchers were originally thinking,

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okay, full automation, not till 2100.

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Yeah, way in the future.

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Yeah, but based on how quickly AI is actually developing,

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it looks like that's going to happen

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like 50 to 80 years ahead of schedule.

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Wow.

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Yeah, that's a pretty massive shift in the timeline.

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Yep, it is.

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So what does that actually mean?

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What are the implications?

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McCoy seems especially concerned about white-collar jobs.

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Right.

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What's making them so vulnerable right now?

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I think the two big things are machine learning

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and then natural language processing.

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So I mean, machine learning is basically

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teaching computers how to learn from data,

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but without having to program every single little step.

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So imagine a computer going through

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like tons of financial data

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and it can pick out patterns and trends

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that maybe a human would miss.

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That's like machine learning

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and then natural language processing.

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That's basically letting AI understand

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and even create like human language.

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Right, so those chatbots.

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Exactly, exactly.

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Like those chatbots that can have a conversation

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or even AI writing tools that can like write blog posts.

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I see where you're going with this

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because a lot of those white-collar jobs

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are all about that kind of stuff.

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Data analysis, writing reports.

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I mean, even legal research, you know.

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All that stuff.

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And McCoy, she uses the example of Ross Intelligence

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which uses AI to go through legal documents.

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Can you talk a little bit more about how

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that kind of technology is actually being used?

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What does that mean for say, lawyers?

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Yeah, so Ross Intelligence is a really good example.

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It's basically like having a ton of paralegals all at once.

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Able to go through a huge amount of legal cases,

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finding anything that's relevant.

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Wow.

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Now, that doesn't mean lawyers are gonna be out of a job,

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but it definitely changes how they work.

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Right.

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You know, instead of spending hours and hours

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doing research, they can focus more on strategy,

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working with their clients

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and the really detailed parts of legal arguments.

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So it's not about replacing them.

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It's more like giving them a tool.

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Exactly.

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It's like augmenting what they can already do.

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Yeah, so it seems like white-collar workers

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are kind of feeling that impact right away.

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But McCoy also talks about blue-collar jobs

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being affected too, just maybe on a slightly longer timeline.

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But she makes this really interesting distinction

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between AI copying human reasoning versus behavior.

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What does she actually mean by that?

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And how does it connect to the future of blue-collar jobs?

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Yeah, it's a really key difference.

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So reasoning is about thinking,

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making decisions, solving problems.

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Behavior, on the other hand, that's about physical stuff.

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Okay.

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Like doing things.

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And AI is getting so good at reasoning,

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which is why we're seeing it take on jobs like finance

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and legal research.

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So does that mean blue-collar jobs are safe

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because they're more physical for now?

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Well, not necessarily.

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Remember when McCoy mentioned Figure AI?

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The company that's making those humanoid robots,

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their CEO actually predicts that we're gonna have

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something like 10 billion robots by 2040.

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10 billion.

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Yeah, and these robots are made to copy behavior.

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You know, things like walking, grabbing stuff, using tools.

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And that's a big deal for jobs that involve physical work,

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like manufacturing and construction.

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Even things like caring for the elderly.

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Yeah, that is a pretty mind-blowing idea.

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10 billion robots wandering around.

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It is.

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I think it really starts to make us question,

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you know, what is the future of work going to look like?

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Yeah, I think that's a great place to pause for now.

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Okay.

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We've got a lot more to unpack from McCoy's video,

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so we'll be back in just a minute to dive back in.

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Sounds good.

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10 billion robots.

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That's hard to even imagine.

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It is.

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It really is.

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But it seems like what McCoy's getting at is,

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it's not that jobs are just gonna vanish.

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It's more that how we work, it's gonna be totally different.

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Yeah, and that's her big takeaway, right?

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The future is gonna belong to the people

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who can work with AI, not try to fight against it.

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Right, so we need to stop thinking of AI

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as like this job stealing monster.

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And think of it more as like a powerful tool, you know?

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Something that can help us do our jobs better,

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maybe even get rid of all that boring, repetitive stuff.

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Exactly, and I think that shift in perspective

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is so important.

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McCoy even gives some examples of how AI is already changing,

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different white collar jobs.

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And some of them are kind of surprising.

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I know, right?

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Like she even talks about journalists

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and content creators starting to feel the pressure.

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Yeah.

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You know, I used to be a writer,

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and I can see how AI could automate a lot of that.

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Oh, it's already happening, the Associated Press,

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they've been using AI to like create

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those basic news reports.

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Oh, really?

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Yeah, especially for sports and financial stuff.

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And they've been doing it since 2014.

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Wow, so it's not just some far off future thing.

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No, not at all.

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What other fields are seeing this kind of disruption?

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Well, McCoy mentioned a few, so in finance,

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there's this platform called Kin Show.

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And it's basically automating that really

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complicit financial analysis.

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Okay.

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You know, the stuff that used to take

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a whole team of people to do.

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Right, right.

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And then in law, we already talked about Ross Intelligence,

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which is changing how lawyers do their research.

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It makes you wonder,

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what does all of this mean for education?

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Like is college even worth it anymore?

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If AI can do these jobs faster and cheaper?

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Yeah, it's a huge question.

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It is.

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And what McCoy's getting at is that

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the old school way of doing education,

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you know, memorizing facts

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and just learning one very specific skill,

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that's just not gonna cut it anymore.

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Right, so it's less about learning what

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and more about learning how to learn.

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Exactly.

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How to adapt, how to keep learning new things

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alongside AI instead of trying to, you know, beat it.

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Exactly.

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And we need to be focusing on developing those skills

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that are uniquely human.

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The things we talked about earlier,

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like emotional intelligence, creativity,

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being able to solve really complex problems.

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Right, those are the things that will make a standout, right?

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In a world where AI can handle the more routine stuff.

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Yeah, it's not just about mastering one specific job.

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It's more about always learning, being adaptable,

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you know, because things are changing so fast.

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And those qualities, being adaptable,

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being willing to learn new things,

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that's gonna help in any career.

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Yeah, for sure.

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Whether AI is involved or not,

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it's really about becoming more well-rounded,

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more resilient people.

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Okay, so we've talked about white collar jobs,

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but McCoy also says that blue collar jobs

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won't escape this wave of automation.

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Yeah.

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And she had that crazy example of figure AI

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trying to create 10 billion humanoid robots by 2040.

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Imagine robots doing construction, manufacturing,

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even taking care of the elderly.

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It's a powerful image for sure.

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It is.

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And I think it shows just how big this change could be.

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Yeah.

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And it's not about being scared.

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It's about understanding what's coming

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and figuring out how to adapt.

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It's about how humans fit into this new picture.

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Right.

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And McCoy keeps coming back to that idea

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that the future belongs to the people

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who can work with AI.

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It's about collaboration, not competition.

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What if instead of being afraid of automation,

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we saw it as a chance to completely redefine work?

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Yeah.

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What if AI could do all the boring, repetitive stuff?

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Mm-hmm.

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And that would free us up to focus on things

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that we actually enjoy,

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things that need human creativity.

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That's a future I can get behind.

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Like, maybe AI could help us change our values,

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move away from just wanting money and stuff,

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and focus more on finding a way of life

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that's fulfilling and meaningful.

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That's a really interesting thought,

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and it could definitely happen.

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Yeah.

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But it all comes down to, like we were saying,

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being able to adapt and learn new things.

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Right.

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To embrace the change instead of fighting against it.

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And that's why McCoy's ideas are so important, right?

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She's not just predicting the future.

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She's actively shaping it.

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And her advice, embracing AI, learning new skills,

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constantly learning, that's important for everyone,

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no matter what you do for a living.

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Absolutely.

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It goes way beyond just one specific career.

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Wow.

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This has really been thought-provoking.

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Yeah, it has.

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We've gone from the very basics of AI,

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machine learning, all that,

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to how it could change both blue-collar

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and white-collar jobs.

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It's a lot to take in.

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It is, but instead of feeling scared,

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I'm actually kind of hopeful,

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like maybe these AI revolution, it's not a bad thing.

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Right.

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Maybe it's a chance to rethink how we think about work.

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What it means to have a job,

273
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even what it means to have a purpose.

274
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I think that's a great way to look at it.

275
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Yeah, and I think that's really McCoy's message, right?

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It's not about just sitting back

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and waiting to see what happens.

278
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It's about getting involved,

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helping shape the future along with AI.

280
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Exactly.

281
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So for our listeners,

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the people who are feeling inspired, ready to do something,

283
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what are some steps they can take to get ready

284
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for this AI future?

285
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Well, I think the first thing is,

286
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and it sounds simple, but it's huge,

287
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you gotta be willing to keep learning.

288
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Okay.

289
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Stay curious about new tech,

290
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explore different fields,

291
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and be open to learning new skills as things change.

292
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It's like that saying,

293
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the only thing that stays the same is change, right?

294
00:09:51,080 --> 00:09:51,920
Exactly.

295
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And especially with tech, it's moving so fast.

296
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It really is.

297
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So when it comes to AI, where do people even start?

298
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There's so much out there.

299
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It can be overwhelming.

300
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Yeah, for sure.

301
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Just start small.

302
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Okay.

303
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Try some of the AI tools that are already around,

304
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you know, like this chatbot,

305
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language translation apps,

306
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even those AI writing assistants.

307
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Oh yeah, those are cool.

308
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Yeah, you can use them to write email

309
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or even like blog posts.

310
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I like that.

311
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Just get comfortable with the tech

312
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before jumping into the really complicated stuff.

313
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Exactly.

314
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And as you get used to those tools,

315
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you'll see how they can make your life easier.

316
00:10:23,120 --> 00:10:23,960
Yeah.

317
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Make you more productive,

318
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even spark your creativity.

319
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It's all goes back to McCoy's point, right?

320
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The future belongs to those who can work with AI.

321
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It's not us against them.

322
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It's about figuring out how to use AI to do more

323
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and then focusing on the things that make us human,

324
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the things AI can't do.

325
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And that brings us back to that question McCoy asked,

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if AI could really take care of all the boring stuff,

327
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how would we define work?

328
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What would purpose even mean?

329
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That's a big one.

330
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It is,

331
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what could we do if we didn't have to work

332
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a traditional job to make a living?

333
00:10:53,280 --> 00:10:54,800
It's tough to say for sure.

334
00:10:54,800 --> 00:10:55,640
Yeah, yeah.

335
00:10:55,640 --> 00:10:56,480
But think about it,

336
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maybe we'd see more people doing art

337
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focusing on community,

338
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really exploring what it means to be human,

339
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connecting with each other.

340
00:11:03,680 --> 00:11:05,640
Wow, that's a pretty amazing future.

341
00:11:05,640 --> 00:11:06,480
It is.

342
00:11:06,480 --> 00:11:08,480
Like AI could help us shift our values,

343
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move away from just money and things.

344
00:11:10,760 --> 00:11:11,600
Yeah, exactly.

345
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And focus more on living a life that has meaning.

346
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And who knows what we could create,

347
00:11:16,320 --> 00:11:17,680
what we could discover

348
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if we weren't tied to that nine to five grind.

349
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This deep dive has been incredible.

350
00:11:21,760 --> 00:11:22,600
It has.

351
00:11:22,600 --> 00:11:23,440
We started out kind of worried like,

352
00:11:23,440 --> 00:11:25,040
oh no, the robots are taking over.

353
00:11:25,040 --> 00:11:25,880
Right.

354
00:11:25,880 --> 00:11:27,760
But now I'm actually feeling pretty good about it.

355
00:11:27,760 --> 00:11:29,440
This could be a really positive thing.

356
00:11:29,440 --> 00:11:30,280
I agree.

357
00:11:30,280 --> 00:11:31,760
And I think that's the best way to think about it.

358
00:11:31,760 --> 00:11:32,600
Yeah.

359
00:11:32,600 --> 00:11:34,160
While all this change might seem scary,

360
00:11:34,160 --> 00:11:35,760
it's also a huge opportunity,

361
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a chance to change what it means to work,

362
00:11:38,600 --> 00:11:39,640
what it means to live,

363
00:11:39,640 --> 00:11:41,920
even what it means to just be human.

364
00:11:41,920 --> 00:11:43,280
Couldn't have said it better myself.

365
00:11:43,280 --> 00:11:44,400
To everyone listening,

366
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we encourage you to stay curious,

367
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stay adaptable,

368
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be a part of shaking the future right alongside AI.

369
00:11:52,040 --> 00:11:54,040
And remember, the future isn't something

370
00:11:54,040 --> 00:11:55,560
that just happens to us.

371
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It's something we create together.

372
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Thanks for joining us on the deep dive.

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Keep exploring, keep thinking.

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We'll see you next time.