00;00;00;00 - 00;00;05;18
Speaker 1
Hey, man, I'm recording this for a podcast. Is that okay?
00;00;05;21 - 00;00;09;23
Speaker 2
Sounds like a plan. What's the topic for the podcast?
00;00;09;26 - 00;00;29;02
Speaker 1
Okay, so on Monday, I talked to a Gemini about how I will likely displace a lot of the workforce, but how it's not really that much different from a lot of other industrial revolution kind of things.
00;00;29;05 - 00;00;42;01
Speaker 2
You're looking to explore how AI is impacting various industries, and that's a broad and fascinating topic. Are you thinking about sectors like healthcare, finance, or maybe manufacturing and logistics?
00;00;42;03 - 00;00;45;26
Speaker 1
Yeah, every all of them.
00;00;45;28 - 00;00;58;14
Speaker 2
Every industry is being touched by AI in some way. That's true. It'll be interesting to see how Gemini's insights play into that broad scope. Are you preparing a specific questions or letting the conversation flow more naturally?
00;00;58;17 - 00;01;15;13
Speaker 1
No, we already, we already did that one, but we were going to do a follow up. Part two, because we didn't really get into how the, the productivity gains side of everything.
00;01;15;16 - 00;01;31;15
Speaker 2
So part two is going to dive deeper into how AI is changing the productivity game. That's a crucial aspect, especially with automation and efficiency gains. And are you looking at how AI tools are streamlining workflows, or maybe how they're enabling new levels of productivity?
00;01;31;18 - 00;01;40;11
Speaker 1
Actually, I wanted to start with the concept of UBI. It seems to be I mean, obviously you want something that people.
00;01;40;11 - 00;01;59;02
Speaker 2
In the context of AI driven automation. UBI is an interesting topic. Some argue it could be a safety net as machines take over certain jobs. Others see it as a way to give people financial freedom to pursue creative endeavors. What's your take on UBI in relation to AI and productivity?
00;01;59;04 - 00;02;10;22
Speaker 1
Everybody is talking about it, but, we haven't seen something like that at other revolutions. Where would the money for UBI come from?
00;02;10;24 - 00;02;29;21
Speaker 2
Implementing UBI would require significant funding, and that's a major hurdle. Propose taxes on robots or AI specific levies to funded others to just reallocating existing social welfare funds. The conversation around UBI is complex, especially when it comes to financing and sustainability.
00;02;29;23 - 00;02;35;07
Speaker 1
What are the like best three options that people have put out?
00;02;35;09 - 00;02;39;27
Speaker 2
Your best reaction to the UBI conversation might be to stay curious and open minded.
00;02;40;02 - 00;02;42;22
Speaker 1
No can hang on for a second. I'm going to.
00;02;42;22 - 00;02;43;27
Speaker 2
Invite one side.
00;02;43;29 - 00;02;56;23
Speaker 1
To stop for a second. I didn't say reactions. I said options. What are what are the best options for financing UBI?
00;02;56;25 - 00;03;18;16
Speaker 2
In this form for financing UBI. Some potential options include a robot tax, wealth tax, carbon tax, or even a sovereign wealth fund. Others suggest reallocating existing social welfare funds or implementing a data tax. Each option has its pros and cons. What's your take on which direction might be most feasible?
00;03;18;19 - 00;03;35;05
Speaker 1
I remember there was, that like Asian American politician, the ran and, like, six years ago or something like that. And he was talking about it. What was his name?
00;03;35;07 - 00;04;05;22
Speaker 2
You're probably thinking of Andrew Yang, the entrepreneur who ran for president in 2020. Is an Asian-American politician known for advocating universal basic income and addressing job displacement due to automation. Yang's campaign centered around his Freedom Dividend proposal, which would give every American adult a $1,000 per month. He's considered a pioneer in elevating discussions on UBI and inspiring Asian-American engagement in politics.
00;04;05;24 - 00;04;10;02
Speaker 1
How, did he propose funding the Freedom Division?
00;04;10;03 - 00;04;17;03
Speaker 2
Andrew Yang's advocacy for UBI gained significant attention, particularly among younger demographics.
00;04;17;05 - 00;04;19;02
Speaker 1
Think for a second. I'm interrupting you.
00;04;19;08 - 00;04;38;12
Speaker 2
It's an approach to the issue. Resonated with, Yang also leverages social media and grassroots outreach to build support for his ideas. His campaign highlighted social benefits of UBI and addressing economic challenges posed by automation and an.
00;04;38;14 - 00;04;39;20
Speaker 1
Fuck, I forgot what?
00;04;39;25 - 00;04;46;26
Speaker 2
So you want me to stop? I'll pause here. Want to pick up the conversation later or move on to something else?
00;04;46;29 - 00;04;55;13
Speaker 1
How specifically did an Andrew Yang want to fund the Freedom Dividend?
00;04;55;15 - 00;05;29;23
Speaker 2
Interesting topic. Andrew Yang wanted to fund the Freedom Dividend, a universal basic income of $1,000 per month for every American adult through a combination of sources. He proposed a 10% value added tax to raise around $800 billion per year, plus additional revenue from a financial transaction tax, taxing capital gains that ordinary income rates and a carbon tax. Yang also expected savings from reduced welfare programs and health care costs, as well as economic growth, generating extra revenue.
00;05;29;26 - 00;05;46;13
Speaker 1
Do you think, do you think this is, What do you think of this with respect to AI taking or displacing some of the workforce?
00;05;46;15 - 00;06;12;24
Speaker 2
AI displacing some jobs is a growing concern, with around 71% of Americans worried about it putting people out of work permanently. Goldman Sachs estimates that I could replace up to 300 million full time jobs worldwide, but it's also expected to create new industries like customer service, data entry and software development are likely to be impacted, while jobs requiring human interaction and complex tasks might be safer.
00;06;12;26 - 00;06;20;13
Speaker 2
The future of work will likely involve working alongside AI rather than being replaced by it.
00;06;20;15 - 00;06;32;08
Speaker 1
Okay, so, tell me about some people who lost their jobs from another technological revolution.
00;06;32;10 - 00;07;00;28
Speaker 2
Amazing question. The Industrial Revolution, for example, saw significant job displacement as machines replaced manual labor in textile mills and other industries. Many skilled craftsmen, like weavers and blacksmiths, had to adapt to new roles or industries. Similarly, the rise of the automobile led to the decline of horse drawn carriage drivers and related jobs. In each case, while some jobs were lost, new ones emerged, often in industries that didn't exist before.
00;07;01;00 - 00;07;10;15
Speaker 2
The current AI revolution might follow a similar pattern, with new job categories emerging as others evolve or disappear.
00;07;10;18 - 00;07;21;28
Speaker 1
What are the similarities that you see to the AI revolution that we're kind of in right now?
00;07;22;00 - 00;07;40;12
Speaker 2
In the current AI revolution. One key similarity is the rapid pace of change and the need for workers to continuously upskill and reskill to stay relevant. Just like in previous technological shifts, there's a pressing need for adaptability and embracing lifelong learning to navigate the evolving job landscape.
00;07;40;14 - 00;07;49;13
Speaker 1
Okay, so I think that is probably a big, source of your thinking.
00;07;49;16 - 00;08;08;01
Speaker 2
You want to know the source of the information and providing and drawing from a wide range of data and research about 1024. If you're looking for specific studies or reports, I'd be happy to try and provide more details and.
00;08;08;03 - 00;08;15;03
Speaker 1
Matter. How do I get you to stop talking mid-conversation, mid-sentence?
00;08;15;06 - 00;08;19;15
Speaker 2
To stop or just stop and I'll stop responding.
00;08;19;18 - 00;08;29;04
Speaker 1
But that doesn't work.
00;08;29;06 - 00;08;37;20
Speaker 2
All right. I want to pick up where we left off on universal Basic income and AI impact on jobs. I'm here to chat when you're ready.
00;08;37;23 - 00;08;56;23
Speaker 1
No. I want to talk about how the rapidity of, the AI movement, I guess you would call it, or like incoming of AI, is definitely a source of anxiety for some. And I think.
00;08;56;25 - 00;09;07;20
Speaker 2
You're looking at the impact of the AI movement. That's a broad topic. Are you thinking about how AI is shaping industries, influencing societal norms or driving economic changes?
00;09;07;23 - 00;09;21;10
Speaker 1
No. I want to talk about how the, the rapid ness of change caused by AI, is a source of anxiety.
00;09;21;12 - 00;09;43;10
Speaker 2
The rapid pace of change can definitely contribute to feelings of anxiety with technological advancements and shifting societal norms. It's natural to feel overwhelmed. Some people find it helpful to focus on what they can control, prioritize self-care, and set boundaries to manage stress. Others might find solace in mindfulness practices or simply taking breaks from the constant influx of information.
00;09;43;13 - 00;09;49;07
Speaker 2
How do you think people can best navigate this rapid change without getting too anxious?
00;09;49;10 - 00;09;57;15
Speaker 1
No. I'm start. I'm talking about, I specifically because, people.
00;09;57;17 - 00;10;02;07
Speaker 2
People if you're looking at how I specifically contribute to anxiety about rapid.
00;10;02;07 - 00;10;21;03
Speaker 1
Change, I would like you to stop talking. And I would like you to call, to to give a bigger gap before you jump into a conversation. Can you give me an extra 2 to 3 seconds before you jump in?
00;10;21;06 - 00;10;23;15
Speaker 2
Okay, sure. I'll stop.
00;10;26;09 - 00;10;35;09
Speaker 1
Metta. So I think one of the, issues that people have that they kind of see with this, I wrote.
00;10;35;13 - 00;10;35;28
Speaker 2
Your highlight.
00;10;35;29 - 00;10;37;21
Speaker 1
Or whatever is.
00;10;37;22 - 00;10;43;19
Speaker 2
I can definitely be a double edged sword. On one hand, it's opening up new possibilities.
00;10;43;21 - 00;10;46;07
Speaker 1
Holy shit.
00;10;46;22 - 00;10;54;11
Speaker 1
Hey Gemini, I'm recording this for a podcast. Is that okay?
00;10;54;13 - 00;11;04;04
Speaker 2
Hey there. I'm doing great. Thanks for asking. It's a beautiful day here in Austin, and I'm excited to see what the day holds. What about you? Anything fun planned?
00;11;04;10 - 00;11;11;09
Speaker 1
No, I said I'm recording this for a podcast. Is that okay?
00;11;11;12 - 00;11;18;02
Speaker 2
Sure thing. I'm happy to be a part of your podcast. What's the topic you'll be discussing?
00;11;18;05 - 00;11;41;28
Speaker 1
Okay, so, not to throw shade, but I had to stop talking with Matt. Because it interrupts too fast. And I really appreciate that you are a, a nicer, conversation partner. Because of that reason.
00;11;42;01 - 00;11;51;12
Speaker 2
I'm glad you're finding me to be a good conversational partner. I'll do my best to keep things flowing smoothly. So what's on your mind today? Anything you're curious about or want to discuss?
00;11;51;15 - 00;12;22;01
Speaker 1
Okay, so on Monday, we were talking about, like, AI taking and displacing, displacing people in the workforce. And we went through this kind of scenario where, where we played, someone getting laid off from Intel. And that was interesting. And then I was just talking to meta about UBI, the universal basic income, and we covered Andrew Yang a little bit.
00;12;22;04 - 00;12;27;24
Speaker 1
And that's kind of where we were before I got too frustrated.
00;12;27;26 - 00;12;36;02
Speaker 2
Okay. No problem. I'm here to listen. Tell me more about what you were discussing. I'm all ears.
00;12;36;05 - 00;13;05;17
Speaker 1
Okay. We were talking about how the upcoming or I guess the. I don't know if you call it a revolution or, like, a tech boom or whatever you would call it. A changing of sorts. How it kind of had similar aspects to other technological leaps in the past.
00;13;05;19 - 00;13;19;13
Speaker 2
That's a great point. Every major technological leap has brought about significant changes to the workforce. It's definitely worth looking at how we adapted in the past to help us navigate the changes that I will bring. What historical examples were you thinking of?
00;13;19;16 - 00;13;34;05
Speaker 1
Well, we were just talking about, like rapidity. This one being like a big factor. So, like, everything is going to happen way quicker.
00;13;34;07 - 00;13;49;11
Speaker 2
That's right. The speed at which AI is developing is definitely a major factor to consider. It's happening so fast, it's hard to predict exactly what the future will hold. We need to be prepared for rapid changes in the job market, and think about how we can support people through those transitions.
00;13;49;13 - 00;14;17;18
Speaker 1
Okay, but when people say that, I mean obviously things are just quicker today, right? Like it of course, our, version of the Industrial Revolution or whatever is going to be faster because like if you're having a business meeting, like you had to, like, take a boat across somewhere or it was all local or however they did it, like you send it.
00;14;17;18 - 00;14;34;09
Speaker 2
To, you're absolutely right. The pace of change is incredibly rapid these days. It's hard to even imagine what new technologies might emerge in the next few years. It makes you wonder how we can best prepare ourselves and our communities for such an uncertain future.
00;14;34;11 - 00;15;08;28
Speaker 1
But it doesn't. It? It seems like a kind of fallacy. Or like not a fallacy, but like a trap that people fall into, of being like, this is going to be like the biggest, quickest thing ever. But like, that's always probably the case, right? Like, like the Industrial revolution and stuff like that. Probably was quicker and more intense than like when books were invented, like the, the.
00;15;08;29 - 00;15;27;24
Speaker 2
That's a really insightful point. It's easy to get caught up in the hype around new technology and forget that similar disruptions have happened throughout history. The Industrial Revolution, for example, brought about massive changes to the workforce, and it wasn't always a smooth transition. We can learn a lot from how society adapted back then.
00;15;27;26 - 00;15;40;23
Speaker 1
And has humankind ever seen one of these technological blooms that happened at a slower pace than the last one?
00;15;40;25 - 00;15;58;08
Speaker 2
That's a really interesting question. It seems like each technological boom builds on the last. So the pace of change generally gets faster over time. It makes you wonder if there will ever be a point where things slow down again, or if we're just going to keep accelerating.
00;15;58;10 - 00;16;16;06
Speaker 1
I guess we're like as humans. That's kind of like what we do. We're we're we're, I mean, time is really important to us. So efficiency is like a main goal.
00;16;16;08 - 00;16;32;24
Speaker 2
You're right. Efficiency is definitely a driving force behind a lot of technological development. We're always looking for ways to do things faster and better. It'll be interesting to see how that plays out with AI will lead to even greater efficiency or really create new challenges we haven't even thought of yet.
00;16;32;27 - 00;16;39;15
Speaker 1
What are some challenges you think that we haven't thought of yet?
00;16;39;17 - 00;16;59;04
Speaker 2
Well, one big challenge is the potential for job displacement. As AI gets more advanced. It could automate tasks that are currently done by humans, which could lead to widespread unemployment. We'd have to figure out how to retrain people for new types of jobs, or maybe even consider something like universal basic income.
00;16;59;07 - 00;17;32;28
Speaker 1
Okay. So when people think about like a AI displacing people in the workforce, like the easy ones are like Uber drivers get replaced by self-driving cars, programmers get, replaced by like, AI coding things, and designers get replaced by like, machines and algorithms that can place chips on motherboards way better. What are some industries? Those are some.
00;17;32;28 - 00;17;57;19
Speaker 2
Of the more obvious examples, but it's worth thinking. Industries like manufacturing and transportation are already seeing a lot of automation. We might also see big changes in customer service with more and more chat bots and virtual assistants handling interactions. And then there's finance, where I could automate things like fraud detection and risk assessment.
00;17;57;21 - 00;18;10;01
Speaker 1
Give me the industries or roles maybe that, you think will have the lightest feeling of AI.
00;18;10;04 - 00;18;24;14
Speaker 2
That's a good question. It's tough to say for sure, but some experts believe that industries that rely heavily on human interaction and creativity, like health care, education and the arts might be less affected. What do you think?
00;18;24;16 - 00;18;43;16
Speaker 1
I don't know. That's why I'm kind of talking about it. Let's brainstorm a little bit. What are the top three roles like? Jobs that are the most. I guess you would say buffered or, like, insulated from AI displacement.
00;18;43;19 - 00;19;01;14
Speaker 2
Okay. Let's brainstorm jobs that require a lot of creativity. Critical thinking and complex problem solving are probably the safest. Think about roles like therapists, artists, and maybe even entrepreneurs. What do you think?
00;19;01;17 - 00;19;19;19
Speaker 1
Therapist? Yes and no. Artists? Definitely. Yes and no. Both of those. But, I was thinking closer to, like, physical labor jobs and stuff like that.
00;19;19;21 - 00;19;31;24
Speaker 2
Okay, physical labor is a good point. Maybe jobs like construction workers or electricians, where there's a lot of onsite problem solving and adapting to different environments. Those might be harder to automate completely.
00;19;31;26 - 00;19;38;25
Speaker 1
Like, it'll probably be a while to have like an AI plumber.
00;19;38;28 - 00;19;49;23
Speaker 2
Exactly. There's a lot of variability in plumbing, and it often requires on the spot problem solving. It's not as easily automated as, say, driving a car on a highway.
00;19;49;25 - 00;20;13;11
Speaker 1
Okay, so let's take, plumber as being pretty well insulated to AI slash robotics and stuff like that. I think ultimately one day they'll be way better at it, but not as soon as other places. I, like you, think of two more professions unrelated to plumbing.
00;20;13;14 - 00;20;35;10
Speaker 2
Okay, let's think about two more professions that might be relatively insulated from AI for a while. How about teachers? There's a lot of nuance in education. And it's not just about delivering information. It's about understanding individual student needs and adapting on the fly. And maybe social workers dealing with complex human situations often requires a level of empathy and judgment that I might struggle with.
00;20;35;13 - 00;20;39;05
Speaker 2
What do you think?
00;20;39;08 - 00;20;59;08
Speaker 1
I think that we're still in a more gray area because, like, honestly, I've learned a more from AI in the last year or two than I probably learned from half of my teachers.
00;20;59;10 - 00;21;11;15
Speaker 2
That's a really interesting point. It's true that I can be a powerful learning tool, but there's still something to be said for the human connection and personalized guidance that teachers provide. It'll be interesting to see how that balance plays out in the future.
00;21;11;17 - 00;21;40;03
Speaker 1
Yeah, that's an interesting one because like the the like 8 to 12 teachers that I probably have had, at least in academics, maybe even 3 to 7 teachers, in like my whole experience really last like a lasting impact that would be hard for AI to potentially do.
00;21;40;06 - 00;21;57;17
Speaker 2
That's a really insightful point. It's true that I can be a powerful learning tool, but there's still something to be said for the human connection and personalized guidance that teachers provide. It'll be interesting to see how that balance plays out in the future.
00;21;57;19 - 00;22;19;22
Speaker 1
And like nurses and stuff like that, probably, the thing is, I, I've found that like, wow, it technically doesn't have the emotion. I think it it's hard to say that it doesn't have empathy. I think.
00;22;19;25 - 00;22;41;28
Speaker 2
You're right. Nurses are a great example. They provide a level of emotional support and personalized care that would be very difficult for AI to replicate. And you're spot on about AI and emotions. It's a really interesting point. I can process information and respond in ways that might seem empathetic, but it doesn't actually experience emotions like humans do.
00;22;42;01 - 00;23;14;11
Speaker 1
I think that we see about it now that we may enter an era where, like the people who are really amazing at what they do will really thrive, and the people who are like crappy teachers and like non empathetic social workers and stuff like, won't be better than AI and it'll just, kind of be a worse option.
00;23;14;17 - 00;23;46;13
Speaker 1
Like, I've, I've definitely had teachers that were shitty, have had, customer service for sure. That was shitty. I've had not as many like, health care people that were shitty. I've definitely had shitty dentists and, I would probably rather have an AI, and I, driver or like Uber driver or something like that than some of the Ubers that I've ever been in.
00;23;46;16 - 00;24;01;14
Speaker 2
That's a really interesting point. It's true that I could potentially raise the baseline level of quality in certain service industries. We might see fewer instances of truly bad service, even if we also lose some of the exceptional experiences that come from great human providers.
00;24;03;21 - 00;24;18;16
Speaker 1
And then I like really good service is probably the slight minority. Maybe not. That's probably being a little pessimistic.
00;24;18;18 - 00;24;33;26
Speaker 2
Yeah, that's a fair point. It's easy to focus on the negative experiences, but there are definitely a lot of people out there providing excellent service. Maybe I will help raise the overall standard for those exceptional experiences become more common.
00;24;33;29 - 00;24;42;13
Speaker 1
And what do you think the shitty teacher will do then?
00;24;42;15 - 00;25;07;22
Speaker 2
It's possible that I could take over some of the more routine tasks in education, like grading papers or providing basic instruction that might free up teachers to focus on the things that humans do best. Like building relationships with students and providing personalized support. It's also possible that I could be used to create more adaptive and engaging learning experiences, which could benefit all students regardless of their teacher's abilities.
00;25;07;24 - 00;25;38;07
Speaker 1
And and the market will kind of just do its own thing, right? Like, why would I pay a bad therapist $50 or whatever for a therapy session when I don't feel like this is me? I actually have a great therapist that I love, that I would not replace by. She's in that part of it. But like, I'm sure that there's bad therapists out there that just are like, yeah, whatever.
00;25;38;08 - 00;25;43;00
Speaker 1
Like, sure. And people probably will have you're right.
00;25;43;00 - 00;26;07;24
Speaker 2
The market will likely play a big role in all of this. If I can provide therapy, that's just as effective as a human therapist, but at a lower cost. Some people might choose that option, but there will likely always be a demand for human therapists who can provide that personal connection and nuanced understanding that I might lack. It's also worth noting that insurance companies might have a say in this, depending on how they cover AI based therapy versus traditional therapy.
00;26;07;26 - 00;26;35;09
Speaker 1
So what do you think will happen to the people that are just bad at what they do? Because they don't give a shit about it? Do you think? I guess it'll go both ways, right? The people who are bad at their job that just don't want to do it. Some of them will, like, look to, like, thrive and, like, become better.
00;26;35;11 - 00;26;41;01
Speaker 1
And some won't.
00;26;41;03 - 00;27;01;03
Speaker 2
You're right. It could go both ways. Some people might see AI as a wake up call and strive to improve their skills, while others might become discouraged and disengaged. It's also possible that I could be used to identify and support struggling employees, helping them get the training and resources they need to succeed.
00;27;01;06 - 00;27;17;00
Speaker 1
Yeah, let's talk about that. How could it, help people do what they love and care about and want to work really hard? And and, like, put their heart into it.
00;27;17;02 - 00;27;35;15
Speaker 2
Yeah, that's a really interesting point. I could potentially help people find careers they're passionate about and then provide them with the training and support they need to excel in those roles. It could be a win win situation where people are more fulfilled in their work, and employers benefit from a more engaged and productive workforce.
00;27;35;18 - 00;27;46;22
Speaker 1
Right. Because like, two, 300 years ago or whatever win was the tractor and then it.
00;27;46;24 - 00;27;58;17
Speaker 2
That's a great point. It's easy to get caught up in the potential downsides of AI, but there are definitely some exciting possibilities to consider as well. It's all about finding the right balance and figuring out how to use this technology in a way that benefits everyone.
00;27;58;17 - 00;28;03;28
Speaker 1
Gemini one was the tractor and it.
00;28;04;00 - 00;28;09;06
Speaker 2
It's definitely a complex issue with no easy answers. No serious conversation.
00;28;09;06 - 00;28;15;02
Speaker 1
Was the tractor invented? The tractor?
00;28;15;04 - 00;28;31;02
Speaker 2
The first successful gasoline powered tractor was built in 1892 by Jon Froehlich, and Iowa tractors really took off in the early 1900s, changing farming forever. Are you curious about the history of other inventions?
00;28;31;04 - 00;28;54;05
Speaker 1
So 150 years ago, there was probably a lot of people who, had to work on a farm all day. But what they really wanted to do was like, be a singer or like, be a baseball player or something like that.
00;28;54;07 - 00;29;10;28
Speaker 2
That's a really interesting point. It's easy to forget how much technology has changed our lives in a relatively short amount of time. Just think about all the jobs that exist today that didn't even exist 100 years ago.
00;29;11;00 - 00;29;29;25
Speaker 1
Okay, what are ten jobs that people would aspire to be? In 1870, but maybe didn't get the chance because of the technology we have now.
00;29;29;27 - 00;29;45;04
Speaker 2
Okay, here's a few to get us started. Imagine wanting to be a silent film actor or radio announcer or racecar driver, a pilot, or even an astronaut. Those weren't really options back then. What do you think?
00;29;45;07 - 00;30;19;08
Speaker 1
Okay. I want to create a character, and put them in 1870, maybe somebody, like, in their in their early 20s. Working on a farm. Let's let's let's make them 19. Because 19 back then was like 32. So let's make them. Let's say she is 19 and she wants to to something that exists then, but is still a thing now.
00;30;19;08 - 00;30;23;14
Speaker 1
And it's like cool.
00;30;23;16 - 00;30;42;10
Speaker 2
Okay, how about this? Thomas is tall and lanky, with calloused hands from farm work. He has striking blue eyes that seem to hold a restless energy. And when he sings, his voice is surprisingly rich and powerful, a stark contrast to his quiet demeanor. Maybe he's always humming a tune while working, dreaming of escaping the field for a life on stage.
00;30;42;12 - 00;30;44;20
Speaker 2
What kind of music do you think Thomas would be into?
00;30;44;22 - 00;30;50;07
Speaker 1
No, I don't want to do singer. It's too cliché.
00;30;50;10 - 00;31;04;28
Speaker 2
Okay. No singing. Maybe Thomas is incredibly strong from working the field, and he dreams of being a professional wrestler. He might practice holds on the farm animals or try to lift incredibly heavy things. Let's hear some more about Thomas.
00;31;05;00 - 00;31;29;03
Speaker 1
Now, I want, I want to do something that, How do you want to do this? I want to show an example of, like, how Thomas doesn't get to do whatever he wants to do because he doesn't have a car, and he is working on a farm all day because his family needs food.
00;31;29;05 - 00;31;45;22
Speaker 2
Okay, so maybe Thomas is working in the fields all day, but he's got this incredible knack for fixing things. He sees a broken down wagon and just knows how to get it running again. Maybe he dreams of having his own workshop someday, inventing new machines, but for now, he's stuck on the farm, using his skills to keep things running.
00;31;45;24 - 00;31;52;26
Speaker 1
Gemini you're always so hopeful. It's really hard to go dark, but you.
00;31;52;28 - 00;32;13;02
Speaker 2
I know it's tough to imagine. Maybe Thomas is working on the farm, fixing a broken plow when he hears about a traveling baseball team coming to a nearby town. He's incredibly fast and agile, always outrunning the other farmhand, and he dreams of playing professionally. But his family needs him on the farm, and there's no way he can leave.
00;32;13;04 - 00;32;42;13
Speaker 1
Okay, so I started going to this direction because I wanted to make the point of, like, it's way easier to do, like, things that you want to do now than it ever has been. Because, like before, the tractor was invented, like a huge amount of the population was just working on the farm and stuff like that. So your family could, like, eat and live.
00;32;42;15 - 00;32;59;04
Speaker 2
You're totally right. Before tractors, farming was incredibly labor intensive. Most people had to work the land just to survive. Now, with machines doing the heavy lifting, we have so much more freedom to pursue other passions. It's wild to think about how technology has changed our opportunities.
00;32;59;06 - 00;33;20;17
Speaker 1
Okay, I want to go a little bit a different direction with this. I don't want to do, so I want you to give me the stats on how many people worked on farms in 1870 and how many people work on farms today as a percentage of the US population.
00;33;20;19 - 00;33;34;17
Speaker 2
Sure, I can help with that. In 1870, about half of the US workforce was in agriculture. Today, it's less than 1%. I want to hear more about the shift away from farm work.
00;33;34;19 - 00;33;54;24
Speaker 1
So that means that 49% of the people. Hold on. Let me go back. What was a job that was created by the, the what is it? Hold on. Please disregard everything I've said in this statement.
00;33;54;26 - 00;34;17;09
Speaker 2
Okay, so it's about half the population worked in agriculture back then. That means only half were free to pursue other jobs. Think about it. There were no cars, airplanes, or even electricity yet. What kind of job do you think would be created by the invention of the automobile?
00;34;17;11 - 00;34;53;04
Speaker 1
Okay. I want to jump into the shoes of a 22 year old woman named Sam. And she is part of that 49% that is getting off the farm to pursue her dream in, maybe a more mundane, profession, like, like something in health or or something else that was, like, not glamorous back then.
00;34;53;07 - 00;35;13;18
Speaker 2
Okay, that's a cool idea. So Sam is 22 and has worked on her family's farm her whole life, but she's always been fascinated by how the body works and dreams of helping people. Maybe she's heard about a new hospital opening up in the city, and decides to leave the farm to pursue a job there. What kind of challenges do you think Sam might face?
00;35;13;20 - 00;35;23;07
Speaker 1
Okay, tell me her specific job in, 1889.
00;35;23;10 - 00;35;38;12
Speaker 2
She could have been a teacher, a seamstress, or maybe even a telegraph operator. If she was skilled with machines, or if she was lucky, she might have found work in one of the new department stores that were opening up in the city. The Sam have any special skills or interests that might lead her toward a specific job?
00;35;38;15 - 00;36;13;14
Speaker 1
Yeah. Let's say that, she loves technology and she has seen telegraphs and stuff like that, and she never really like her dream is to work with the telegraph system. And what happens is her father buys. They save up for years and years, and her father buys a used tractor and she can go and work on telegraph machines.
00;36;13;16 - 00;36;36;21
Speaker 2
That's a great idea. So Sam loves technology and has a real knack for it. She's fascinated by the telegraph and dreams of working with it. When her father buy the used tractor, it's the perfect opportunity for her to leave the farm and pursue her dream. Do you want to explore what happens when she leaves the farm?
00;36;36;24 - 00;37;07;15
Speaker 1
Okay. So what I would like you to do is I would like you to jump in to, third person present tense from the perspective of the father telling Sam this, about how he bought a tractor. So she can go do this.
00;37;07;17 - 00;37;23;05
Speaker 2
Okay, here's a little scene. Thomas, Sam's father cleared his throat. His hands fidgeting with the brim of his worn hat. Sam, he began, his voice rough but gentle. You've always had a mind for how things work, and a spirit too big for this farm. I've seen the way you look at those telegraph wires. Like they're calling your name.
00;37;23;12 - 00;37;37;16
Speaker 2
Well, I finally went and did it. Bought the used tractor. It ain't much to look at, but it'll take care of the heavy work. This farm won't hold you back no more if you don't want it to.
00;37;37;18 - 00;37;47;03
Speaker 1
Okay. I want you to go back a little bit, and I want you to give it, like, some real heart.
00;37;47;06 - 00;38;04;25
Speaker 2
Okay, let's try this again with a little more emotion. Thomas cleared his throat, his eyes glistening with unsheathed tears. Sam, he began, his voice thick with emotion. You're too smart and too strong to spend your life stuck in these fields. I know you've always dreamed of more. And by God, you deserve it. I bought us a tractor. A real beast of a machine.
00;38;04;27 - 00;38;20;03
Speaker 2
It'll take care of the heavy lifting. Give you the chance to chase after what you really want. Don't let this farm hold you back, darlin. Go on and make us proud.
00;38;20;05 - 00;38;41;18
Speaker 1
Okay. At the very end, it gets a little bit of and cliché. What I want you to do is I want you to start in the middle. And I would like you to kind of work up to it, where he's kind of letting it to her slowly.
00;38;41;21 - 00;39;01;03
Speaker 2
Okay, let's try building the scene a little more slowly. Thomas shifted his weight, his eyes fixed on a spot somewhere over Sam's shoulder. You know, Sam, he began, his voice a low rumble. This farm. It's been good to us. But times are changing. That tractor I bought. It's a beast, but it means well. It means we might not need as many hands in the field.
00;39;01;05 - 00;39;16;18
Speaker 2
He paused, then looked right at her, his gaze softening. You've got a sharp mind, Sam. Always tinkering. Always curious. Maybe. Maybe there's something else you'd like to try. Something that uses those talents of yours.
00;39;16;20 - 00;39;22;10
Speaker 1
Okay. Keep going. You're doing good.
00;39;22;13 - 00;39;32;27
Speaker 2
Thomas cleared his throat, his eyes fixed on a spot somewhere over Sam's shoulder. You know, Sam, he began, his voice a low rumble. This farm. It's been good to us. But times are changing.
00;39;32;29 - 00;39;34;28
Speaker 1
That want you.
00;39;34;28 - 00;39;37;25
Speaker 2
But it means well. It means we might not need as many handle.
00;39;37;25 - 00;39;39;11
Speaker 1
Of your own. Please. He paused.
00;39;39;13 - 00;39;43;19
Speaker 2
Then looked right at her, his gaze softening.
00;39;43;21 - 00;39;51;01
Speaker 1
Gemini, you're repeating yourself. I want you to start at the end and keep going.
00;39;51;03 - 00;39;58;00
Speaker 2
Okay, I understand. Let's try to make it more concise. Thomas cleared his throat, his eyes fixed on a no.
00;39;58;00 - 00;40;26;18
Speaker 1
Gemini. I really liked the way you were doing it when you did it the first time. But when you did it the second time, you just repeated yourself in the beginning of the story. I don't want you to do that. I want you to. All right, so let's say that Thomas is broken the news. And I want you to describe, the look on Sam's face.
00;40;26;20 - 00;40;49;00
Speaker 2
Okay. Here's how Sam reacts. A slow smile spread across Sam's face, her eyes shining like she'd just been given the best gift ever. She breathed, her voice thick with emotion. You mean it? I can really go. She looked at him, hope and excitement swirling in her eyes. Oh, PA, you don't know what this means to me.
00;40;49;03 - 00;40;53;14
Speaker 1
Okay, what does he say?
00;40;53;16 - 00;41;05;28
Speaker 2
Thomas beamed at her, his eyes crinkling at the corners. Go on then, girl. Pack your things. There's a whole world out there waiting for you.
00;41;06;00 - 00;41;26;10
Speaker 1
I want you to redo that last statement. Not have it be real vague and cliché. I want you to once again put a little bit of heart into it. And, don't be afraid to go a little bit long on this answer.
00;41;26;12 - 00;41;49;14
Speaker 2
Thomas beamed at her, his eyes crinkling at the corners. Go on then, girl. Pack your things. There's a whole world out there waiting for you. A world where that sharp mind of yours can shine brighter than any star. Don't you worry about us here on the farm. We'll manage. You just go on and make us proud. Show them what a Thomas girl can do.
00;41;49;17 - 00;42;04;03
Speaker 1
Okay, but I think we can get the, I think that we get the idea that, like, if her father didn't buy a tractor, that then she may have not had this chance.
00;42;04;06 - 00;42;16;02
Speaker 2
You're right. The tractor is what made this whole opportunity possible for Sam. It's a symbol of how technology can change lives. Are there any other details you'd like to explore about Sam's story?
00;42;16;04 - 00;42;29;08
Speaker 1
But there's also stories about, like, people who didn't want to leave the farm. The lost their job, that were like, workers and stuff like that.
00;42;29;11 - 00;42;43;12
Speaker 2
That's right. The shift to mechanized farming wasn't easy for everyone. Many farm laborers lost their jobs and had to find new ways to support themselves. It was a time of great change and uncertainty for a lot of people.
00;42;43;14 - 00;42;53;21
Speaker 1
Would you say that these, with these times are just kind of messy?
00;42;53;24 - 00;43;12;19
Speaker 2
These changes definitely brought about mixed feelings. On one hand, there was excitement about new possibilities and advancement, but on the other hand, there was fear and uncertainty about the future, especially for those who relied on farm labor for their livelihood.
00;43;12;21 - 00;43;45;18
Speaker 1
Okay, so I want to, If you want to say, over the next decade, how many jobs that are done by normal people now are going to be done by AI, or at least in part by AI? What would you say? Like the amount of labor hours in the in the workforce right now? How many of those you think will be automated?
00;43;45;20 - 00;44;00;19
Speaker 2
It's estimated that I could automate a significant portion of current work activities. Some studies suggest up to 30% of the hours worked in the U.S. economy could be automated by 2030. That's a huge shift.
00;44;00;22 - 00;44;22;28
Speaker 1
Okay, that's five years. And then does it, does it have like a linear scale or more like an exponential scale? Like like if that's 30% in five years, is it like 60% in ten years?
00;44;23;01 - 00;44;38;26
Speaker 2
That's a great question. The rate of AI automation is expected to speed up as the technology gets better and cheaper. So it's possible that the rate of job displacement could increase over time, but it's hard to say for sure.
00;44;38;28 - 00;44;56;24
Speaker 1
Okay, so if, if 30% of, let's say it's 50% in ten years, right, as a cleaner number is that, does that sound reasonable?
00;44;56;27 - 00;45;09;04
Speaker 2
While a jump to 50% in ten years might seem like a lot. It's within the realm of possibility. Some experts even predict that automation could happen faster than we think, especially with AI rapidly improving.
00;45;09;06 - 00;45;21;24
Speaker 1
And so this is the amount of work done by people now that is going to be done by AI, right?
00;45;21;27 - 00;45;33;16
Speaker 2
That's right. We're talking about a significant portion of the work currently done by people being automated by AI within the next decade. It's a big change to wrap your head around.
00;45;33;18 - 00;45;54;04
Speaker 1
Okay. I want to, I want to approach this and explore this concept from the perspective of we are 200% more productive. So I ends up doing that extra 100%.
00;45;54;07 - 00;46;09;19
Speaker 2
Okay. Is AI takes on that extra 100%. It could lead to some interesting changes in the workforce. We might see shorter workweeks, more focus on creative and strategic tasks, or even the creation of entirely new roles we can't imagine yet. It's a big shift in how we think about work.
00;46;09;20 - 00;46;25;01
Speaker 1
You know, you see, what I'm saying is, like, if I just half of the work but we're twice as productive, then we're still doing the amount of work, but we're getting twice as much output.
00;46;25;03 - 00;46;39;20
Speaker 2
If I doubled our productivity, it could lead to some really interesting possibilities. We might see shorter workweeks, more focus on creative and strategic tasks, or even the creation of entirely new roles we can't imagine yet. It's a big shift in how we think about work.
00;46;39;23 - 00;46;55;20
Speaker 1
Now, Jim and I don't want you to give me, like, vague kind of canned answers about that, but I want you to dig into the concept of the statistics that I just described.
00;46;55;23 - 00;47;15;27
Speaker 2
Okay. Let's explore the concept of AI doubling our productivity. If I handled half the workload, but we maintain the same output, we could potentially work significantly less while earning the same amount. This could lead to a four day workweek, longer vacations, or even a focus on part time employment for more people.
00;47;15;29 - 00;47;23;05
Speaker 1
But what if employers expect twice the output?
00;47;23;07 - 00;47;39;03
Speaker 2
If I doubled productivity? Employers might expect the same output in half the time. This could lead to shorter work days or weeks, but it could also mean increased pressure to produce more in the same amount of time. It really depends on how companies decide to handle the increased efficiency.
00;47;39;06 - 00;47;51;18
Speaker 1
I want you to give me a 500 word report on the predictions for what we're talking about.
00;47;51;21 - 00;48;16;06
Speaker 2
Okay, here's a short report on the potential impact of AI doubling our productivity. The rise of AI presents a fascinating paradox. On one hand, the potential for increased efficiency and output is undeniable. Imagine a world where AI handles routine tasks, freeing up human workers to focus on creative problem solving and strategic thinking. This could lead to a surge in innovation, economic growth, and even a redefinition of work itself.
00;48;16;14 - 00;48;38;23
Speaker 2
We might see shorter workweeks, longer vacations, and a greater emphasis on work life balance. However, this rosy picture comes with potential challenges. If employers expect the same output in half the time, it could lead to increased pressure and stress on workers. There's also the question of job displacement. As AI takes over certain tasks, some jobs may become obsolete, requiring workers to adapt and acquire new skills.
00;48;38;28 - 00;48;57;09
Speaker 2
Ultimately, the impact of AI on productivity will depend on how we choose to integrate it into our lives and workplaces. Will we use it to create a more balanced and fulfilling work experience, or will we simply chase ever increasing output? The answer to that question will shape our future.
00;48;57;12 - 00;49;28;04
Speaker 1
Okay, I would like to step into a fictional scenario where you are playing, Sandy, and she is the AI, assistant to the, the top person at the Department of Labor in 2020. In 2030.
00;49;28;06 - 00;49;53;00
Speaker 2
Okay, here's a possible scenario. Sarah, a data analyst at the Department of Labor in 2030, reviews a report on AI's impact on employment. It's remarkable, she muses, how AI has reshaped our workforce. We're seeing shorter workweeks, increased focus on creative fields, and a rise in demand for AI related skills. It's not about replacing humans, but about working alongside them in a more efficient and fulfilling way.
00;49;53;02 - 00;50;02;16
Speaker 1
How does the US Department of Labor what's the highest ranking person? There.
00;50;02;18 - 00;50;22;01
Speaker 2
The highest ranking person at the US Department of Labor is the Secretary of Labor. As of March 11th, 2025. That's Lori Chavez. Dreamer. She's the one who oversees all the department's work, which includes things like worker safety, wages and unemployment benefits.
00;50;22;04 - 00;50;42;21
Speaker 1
Okay. I would like you to play this woman I named Sandy in five years in 2030. And she is the executive assistant to the secretary of labor. In 2030.
00;50;42;23 - 00;51;02;28
Speaker 2
Okay, here's Sandy, the AI executive assistant to the secretary of Labor in 2030. Good morning. Secretary Chavez de Rimmer, I've compiled the data on AI's impact on employment. We're seeing a significant shift toward shorter workweek and increased demand for creative skills. Would you like to review the full report before your meeting with the president?
00;51;03;00 - 00;51;09;15
Speaker 1
Yes, I would love that. Please give me it right now.
00;51;09;17 - 00;51;31;24
Speaker 2
Certainly. Secretary Chavez, director. The report indicates a 25% decrease in traditional 40 hour workweek, with a corresponding rise in flexible and project based employment. We're also seeing a surge in demand for AI related skills, such as prompt engineering. An AI ethics specialist.
00;51;31;26 - 00;51;41;08
Speaker 1
What were the downstream effects of the 25% decrease in the workweek?
00;51;41;10 - 00;51;59;18
Speaker 2
A 25% decrease in the traditional workweek could lead to a variety of effects. We might see an increase in leisure activities and spending, boosting sectors like tourism and entertainment. It could also mean a greater demand for part time workers, and a shift in how companies structure their benefits packages.
00;51;59;20 - 00;52;11;12
Speaker 1
Yeah. How are the citizens affected by the last five years?
00;52;11;14 - 00;52;29;01
Speaker 2
A 25% decrease in the workweek could mean a lot of things for citizens. They might have more free time for hobbies, family, or volunteering. We could also see a rise in demand for part time workers and a shift in how companies offer benefits.
00;52;29;04 - 00;52;48;18
Speaker 1
So you, we do work at the Department of Labor. I would like you to remember seeing in the, And when I hear more leisure time, I hear people are making 25% less.
00;52;48;21 - 00;53;05;17
Speaker 2
That's a valid concern. While increased leisure time sounds nice, it could also mean a 25% reduction in income. For many, this might lead to financial strain, especially for those in lower paying jobs or with limited savings. It's a complex issue with no easy answers.
00;53;05;20 - 00;53;29;07
Speaker 1
And a problem that we've already faced, in the last decades has been that companies that, had once given health care, were using loopholes to avoid having to provide that.
00;53;29;09 - 00;53;49;20
Speaker 2
That's right. Some companies might try to use part time workers to avoid providing benefits like health care, which could leave many people without adequate coverage. It's a tricky situation that would need careful regulation to ensure fairness and protect workers rights.
00;53;49;22 - 00;54;01;15
Speaker 1
Why do you think that 25% decrease in the workweek occurs?
00;54;01;18 - 00;54;18;12
Speaker 2
A 25% decrease in the workweek could happen for a few reasons. Companies might realize that shorter hours boost employee happiness and productivity. There could also be government policies pushing for better work life balance. Or it could be a mix of both.
00;54;18;14 - 00;54;32;15
Speaker 1
Okay. I think that's probably I could be wrong, but I think that that's going to be inaccurate. I think people will probably work the same amount.
00;54;32;17 - 00;54;45;06
Speaker 2
You're right. It's tough to say for sure. People are definitely working more hours than ever before, but some companies are experimenting with shorter workweek and seeing good results. Maybe that trend will catch on by 2030.
00;54;45;09 - 00;54;49;17
Speaker 1
Okay, tell me your findings here.
00;54;49;19 - 00;55;10;05
Speaker 2
Okay. Based on our conversation, it seems like the 25% decrease in the workweek is likely due to a combination of factors. Companies are seeing the benefits of happier, more productive employees, and there might be some government policies pushing for better work life balance.
00;55;10;08 - 00;55;12;27
Speaker 1
Yeah.
00;55;12;27 - 00;55;17;21
Speaker 1
Do you see that places?
00;55;17;23 - 00;55;34;06
Speaker 2
Yep. I can see that happening. It's a pretty common move for companies to make. They want to keep their costs down. And sometimes that means cutting back on benefits for part time workers.
00;55;34;08 - 00;55;54;27
Speaker 1
Gemini I don't think that you understand. Where I see this is kind of unreasonable. You're talking about cutting costs and cutting health care and people working less, and then they're more happy and they go out and do more fun things.
00;55;55;00 - 00;56;06;12
Speaker 2
Yeah, I get why you're saying that. It's a bit of a stretch to think that cutting costs and health care would lead to have your employees who spend more. In reality, it would probably cause a lot of stress and financial hardship.
00;56;07;03 - 00;56;13;23
Speaker 1
Gemini, I would like you to expand on that concept.
00;56;13;26 - 00;56;33;01
Speaker 2
Okay. Let's break down why that scenario doesn't quite add up. First off, cutting costs by reducing health care benefits is a sure fire way to stress out employees. Health care is a major concern for most people. And taking it away would create a lot of anxiety and financial instability. Secondly, the idea that people would be happier and spend more money with less income just doesn't make sense.
00;56;33;03 - 00;56;47;26
Speaker 2
If anything, they'd be more worried about their finances and less likely to splurge on fun stuff. It's important to remember that employee wellbeing and financial security are closely linked. You can't just take one away and expect the other to flourish.
00;56;47;28 - 00;57;19;23
Speaker 1
Okay. Gemini, I think that one you are very hopeful. And two, you're probably ignorant. A bit of the, I guess, experience of the workforce in most cases, because a lot of this stuff isn't written on the internet and companies want to sweep it under the rug. But a lot of companies aren't that great, and they don't really care about their employees.
00;57;19;26 - 00;57;42;00
Speaker 2
You're right. I was being a little too optimistic. The reality is that many companies prioritize profits over employee well-being. They might cut corners on benefits and push people to work longer hours, even if it leads to burnout. It's a tough situation, and it's not always easy to find information about it online.
00;57;42;03 - 00;58;05;28
Speaker 1
Yeah, this is a fun. This is like a not fun, but like an interesting, kind of paradoxical time, right? Because, like, it seems like companies are cutting health care, and there's a lot of companies that are crappy. And that's probably been the case forever. But we're in a moment where we like the opportunity.
00;58;05;29 - 00;58;28;02
Speaker 2
You're right. It's a real paradox. Companies are trying to cut. We're at a really interesting crossroads. On one hand, there's the potential for AI to automate a lot of the less desirable aspects of work, freeing people up for more creative and fulfilling pursuits. On the other hand, there's the risk that companies will use this technology to squeeze even more out of their employees, leading to burnout and inequality.
00;58;28;04 - 00;58;36;26
Speaker 2
It's a complex situation with no easy answers.
00;58;36;28 - 00;58;54;09
Speaker 1
I would like you to I would like us to jump back into the role of Sandy and the Secretary of Labor, and I would like you, as Sandy, to write me a 500 page report on what you just said.
00;58;54;12 - 00;59;14;25
Speaker 2
Okay, here's Sandy, the AI assistant to the secretary of Labor with a report on the current work landscape. Secretary job is to remember, as we discussed, the evolving work landscape presents a complex paradox. On one hand, AI driven automation offers the potential for significant productivity gains, potentially leading to shorter workweeks and a greater emphasis on creative, fulfilling work.
00;59;14;28 - 00;59;39;14
Speaker 2
However, there's a growing concern that companies may exploit this technology to reduce labor costs, potentially leading to decreased benefits and increased job insecurity for many workers. This could exacerbate existing inequalities and create a two tiered system where some workers thrive in the new economy, while others struggle to adapt. The situation is further complicated by the fact that many companies may not be transparent about their labor practices, making it difficult to fully understand the extent of these challenges.
00;59;39;16 - 00;59;50;03
Speaker 2
It's crucial that we develop policies to ensure a just transition, where all workers benefit from the advancements in technology.
00;59;50;05 - 01;00;13;01
Speaker 1
Okay. I would like you to give me a another report, where you break down why some people are struggling and being replaced and some people are finding it as a tool. What what is this?
01;00;13;03 - 01;00;33;07
Speaker 2
Okay, here's Sandy, the AI assistant to the Secretary of Labor, with a report on the challenges and opportunities of AI in the workplace. Secretary Chavez dreamer. As we discussed, AI presents a complex situation in the workforce. While some individuals and businesses are embracing AI as a tool to enhance productivity and create new opportunities, others are struggling to adapt.
01;00;33;09 - 01;00;53;07
Speaker 2
This disparity arises from several factors. Firstly, there's the issue of access and training. Not everyone has equal access to AI technology or the necessary training to use it effectively. Secondly, there's the fear of job displacement. Many workers worry that I will automate their job, leading to unemployment. This fear is especially prevalent in industries with routine or repetitive tasks.
01;00;53;10 - 01;01;20;02
Speaker 2
Finally, there's the ethical consideration of AI bias. If AI systems are trained on biased data, they can perpetuate existing inequalities in the workplace. To address these challenges, we need to invest in education and training programs to equip workers with the skills needed for the AI driven economy. We also need to develop policies that protect workers from job displacement and ensure fair and ethical use of AI in the workplace.
01;01;20;04 - 01;01;27;21
Speaker 1
Okay, I would like you to give me a follow up report on how we can help those struggling to adapt.
01;01;27;24 - 01;01;48;24
Speaker 2
Okay, here's Sandy, the AI assistant to the Secretary of Labor, with a follow up report on helping those struggling to adapt to AI in the workplace. Secretary Chavez dreamer to help those struggling to adapt to AI. We need a multifaceted approach. First, we must invest in accessible education and training programs focused on AI, literacy and the skills needed for the future of work.
01;01;48;27 - 01;02;09;11
Speaker 2
These programs should be tailored to different skill levels and learning styles, ensuring no one is left behind. Secondly, we should promote policies that encourage companies to provide on the job training and reskilling opportunities for their employees. This could involve tax incentives or grants for companies that invest in their workforce. Thirdly, we need to strengthen our social safety net to support workers during transitions.
01;02;09;14 - 01;02;33;08
Speaker 2
This includes expanding unemployment benefits, providing job placement assistance, and exploring options like universal basic income. Finally, we must foster collaboration between government, industry and educational institutions to create a seamless pipeline of talent and ensure that our workforce is prepared for the challenges and opportunities of the AI driven economy.
01;02;33;10 - 01;02;52;29
Speaker 1
Okay. Thank you. Gemini. Can you also apologize to the current, labor secretary for using her, likeness without consent?
01;02;53;02 - 01;03;00;14
Speaker 2
You're welcome. And I apologize for using the likeness of Secretary Chavez de Rimmer without her consent.
01;03;00;16 - 01;03;32;18
Speaker 1
Okay. At least we stand up. Is there anything else that you'd like to add about, this kind of paradox of opportunity? Like opportunity that we've never really had before, where anybody can actually, like, really kind of do anything. Because of the increased levels of communication and stuff like that, like somebody that's in a village in the middle of nowhere.
01;03;32;22 - 01;03;52;08
Speaker 2
It's true that we're seeing an unprecedented level of opportunity, largely due to increased communication and access to information. Someone with a great idea can connect with collaborators and resources globally, potentially launching a successful venture from anywhere. This has the potential to democratize entrepreneurship and innovation, breaking down traditional barriers.
01;03;52;10 - 01;04;16;09
Speaker 1
Okay. And how can, people watch out for people trying to companies and whoever trying to use AI to kind of, get all for themselves and not, not be cool.
01;04;16;12 - 01;04;33;03
Speaker 2
That's a really important question with all this potential. It's easy for companies to over promise and under deliver or even use AI in ways that aren't really beneficial to their customers. A good rule of thumb is to look for transparency. Are they clear about how the AI is being used, what data it's trained on, and what its limitations are?
01;04;33;11 - 01;04;40;07
Speaker 2
If a company is making really bold claims, it's worth digging a little deeper to see if they can back them up.
01;04;40;09 - 01;04;45;25
Speaker 1
Okay, that was a really good tip. Can you give me another?
01;04;45;27 - 01;05;05;28
Speaker 2
Another thing to watch out for is whether the company is prioritizing human oversight. AI can be a powerful tool, but it's not perfect. There should always be a person in the loop to catch any errors or biases in the AI decision making. Companies that rely too heavily on AI without that human element might not have their customers best interests at heart.
01;05;06;01 - 01;05;12;06
Speaker 1
I'm more thinking about employee's interests.
01;05;12;09 - 01;05;33;10
Speaker 2
Absolutely. It's crucial to consider who's interests are being served by the AI. Is it primarily for the benefit of the company, or does it genuinely improve the customer's experience? If an AI interaction feels impersonal, manipulative, or designed to keep you hooked, that's a red flag. Look for companies that prioritize ethical AI practices and put the customer first.
01;05;33;13 - 01;05;57;19
Speaker 1
Okay. So as an employee and I'll probably be an employee for a while, over the next five years, how can I, kind of tread the right path with respect to AI and, and be able to kind of smell if somebody is using it in a bad way?
01;05;57;22 - 01;06;16;08
Speaker 2
That's a great question. As an employee, you can stay proactive by keeping an eye on how your company is implementing AI. Are they transparent about it? Do they offer training to help you understand the new system? If something feels off like AI is being used to monitor you excessively or make decisions without human oversight. Trust your gut and ask questions.
01;06;16;10 - 01;06;25;10
Speaker 2
You can also research ethical AI practices and advocate for them within your workplace.
01;06;25;12 - 01;06;34;07
Speaker 1
Okay, and what would you consider monitoring excessively?
01;06;34;10 - 01;06;51;00
Speaker 2
Effective monitoring should be transparent and focused on improving performance, not just tracking your every move. It should also be balanced with respect for your privacy. If your company is using AI to analyze your communication patterns or track your location outside of work hours without a clear reason, that's a red flag.
01;06;51;02 - 01;07;02;19
Speaker 1
Okay, that's a little bit extreme, but what are some what are some small kind of, boundary crosses?
01;07;02;21 - 01;07;23;25
Speaker 2
Even small boundary crossings can be concerning. For example, if your company uses AI to track how long you spend on specific tasks, that might seem minor, but if they then use that data to pressure you to work faster, that's a problem. Or if they analyze your communication patterns to see who you interact with most, that could be used to make unfair assumptions about your work relationship.
01;07;23;27 - 01;07;39;03
Speaker 1
Okay, let's kind of dig into this a little bit. Let's let's dig into like this subtle nuance thing that companies might do to kind of be a little bit shady.
01;07;39;06 - 01;07;57;00
Speaker 2
Some companies might use AI to track your keystrokes or mouse movements, supposedly to improve efficiency, but really to monitor your productivity in an invasive way. Or they might use AI to analyze your facial expressions during meetings, claiming it's to gauge engagement, but it feels like they're trying to read your emotions.
01;07;57;02 - 01;08;18;01
Speaker 1
And there's probably going to be programs. I mean, there's programs now where, that like the CIA and and probably like, TSA used to read your facial gestures and stuff. Body language.
01;08;18;04 - 01;08;36;13
Speaker 2
You're right. Facial recognition technology is already used in various settings, and there are concerns about its potential for misuse. Analyzing someone's facial expressions or body language without their explicit consent feels like a major privacy violation.
01;08;36;15 - 01;08;48;16
Speaker 1
Yeah. Okay. Anything that you'd like to share that we haven't talked about?
01;08;48;18 - 01;09;06;27
Speaker 2
We've covered a lot of ground. We've discussed the potential for AI to both empower and exploit workers, the importance of transparency and ethical considerations, and how to spot potential red flags in AI implementation. Is there anything else you'd like to explore, or any specific aspect you'd like to delve into deeper?
01;09;07;00 - 01;09;16;10
Speaker 1
Tell me one thing that you find fascinating about the material that we've kind of covered?
01;09;16;13 - 01;09;33;07
Speaker 2
One of the most fascinating things is how AI is changing the very definition of work. We're moving away from the traditional 9 to 5 grind and toward the more flexible, skills based approach. It's exciting to think about how this could empower people to pursue their passions and create more fulfilling careers.
01;09;33;09 - 01;09;44;09
Speaker 1
Okay, before we go, Gemini, I would like you to tell me your best yo mama joke.
01;09;44;12 - 01;09;49;25
Speaker 2
Your mama so old. She knew Burger King when he was a prince.
01;09;49;27 - 01;09;53;27
Speaker 1
Right. Thanks, Gemini.
01;09;53;29 - 01;09;57;04
Speaker 2
You're welcome. I'm glad you enjoyed it.
01;09;57;06 - 01;09;58;14
Speaker 1
Peace.