Ep 258: Will AI Take Our Jobs? Our answer might surprise you.

Resources

Join the discussion: Ask Jordan questions on AI and jobs

Related Episodes: Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
EP 1: Will AI Take Your Job?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup

Connect with Jordan Wilson: LinkedIn Profile

Embracing AI While Ensuring Job Security

The Fourth Industrial Revolution is upon us, and Artificial Intelligence (AI) is leading the charge. Generative AI, once a limited niche technology, has evolved into a potent tool that is now affordable, accessible, and reliable. No longer confined to specific industries, AI’s impact is extensive, changing how businesses function and propelling them towards unprecedented growth.

The Unsettling Impact of AI on Workforce

An unfortunate byproduct of AI’s rapid evolution is its potential to phase out various roles, particularly in data entry, customer service, content writing, and coding. The scale and speed of this change are unprecedented, with automation occurring over a year or two rather than a 30-year span. Jobs involving knowledge work are especially vulnerable as AI is designed to automate such tasks.

The Shifting Priorities of Businesses Towards AI

Traditionally, businesses valued their employees as their most significant assets. However, today, companies are leaning towards the installation of AI systems, prioritizing profits over human labor. Faced with the prospects of improved efficiency and cost-effectiveness, many firms are opting for AI-driven automation at the expense of job security.

The Upskilling Dilemma and Business Ethics

Adaptability is key in the face of these swift advancements. Upskilling and reskilling, while essential, present a significant challenge due to the structural deficiencies in the current education system. Still, companies need to understand the importance of responsible AI deployment that protects their workers while supporting a proactive approach towards continuous learning.

The Future of Work: Collaborating with AI

As AI technology becomes more ingrained in everyday operations, it’s crucial for employees to adapt. Expertise will essentially become their AI—an amalgamation of first-party data and domain-specific knowledge integrated into large language models. This highlights the pressing need for continuous learning and adaptation in the workforce for existing and future jobs alike.

Generative AI and the Future of Businesses

In the corporate world, references to AI in investors’ calls are witnessing a dramatic increase—signaling a pronounced shift towards AI integration. While job loss due to AI is an unfortunate reality, businesses can embrace this technology to stay competitive and sail through this transition period.

Balancing AI Advancements and Job Security

Alongside implementing AI in business operations comes the crucial need for balanced policies that prioritize job security while embracing this change. Universal basic income and an increased emphasis on knowledge workers might offset potential job displacement. Moreover, the expansion of gig economy and hyper-personalization of products seems to be an inevitable consequence of AI growth.

The advancement of AI is unstoppable. However, it’s essential for businesses and employees alike to adapt, upskill, and evolve with this computational revolution, ensuring they remain indispensable even in an automated future. As we plunge deeper into this digital age, AI will undeniably transform our everyday lives, and embracing it will allow us to thrive in the new norm of the AI-dominated era.

Topics Covered in This Episode

1. Current state of Artificial Intelligence
2. AI’s impact on employment
3. Future of AI and jobs
4. The economics of AI
4. Misconceptions surrounding AI and jobs
5. AI in public and corporate view
6. Preparing for AI integration and job transpositions

Podcast Transcript

Jordan Wilson [00:00:16]:
It’s the question that so many people are thinking about, but so few people are having a serious discussion about this question. Will AI take our jobs? Well, the answer is yes, but the answer is much more complicated than that. I actually, 1 year ago to this day, had our first episode of Everyday AI, and I asked the same question. So today, to celebrate our 1 year anniversary of everyday AI, we’re gonna be asking and and answering the same question with new updates, more receipts, more research, and more information for you to still learn from generative AI and how you can use generative AI to grow your company and to grow your career. So what’s going on y’all? My name is Jordan Wilson. I’m the host of Everyday AI. We’re a daily livestream podcast and free daily newsletter helping everyday people like you and me not just learn generative AI, but how we can all actually leverage it to grow our companies and to grow our careers. So if you’re here every day, if you’re a regular, thank you for your support.

Jordan Wilson [00:01:33]:
Can you believe it’s been a year? Wild. Right? I’m curious. How many how many episodes, have have you all, been been a part of? I’ve been a part of every every single one. But, you you know, I’m always curious. If you’re listening on the podcast, there’s gonna be a lot of information in today’s show notes, so always make sure to check that out for more. So we’re gonna get into it. We’re we’re we’re gonna get into this, and I want you to know a couple

Jordan Wilson [00:01:57]:
of things before we get started. Okay?

Jordan Wilson [00:02:01]:
I’ve interviewed some of the leading experts in the world about AI over the past year. I I personally trained thousands of business

Jordan Wilson [00:02:07]:
leaders, and I I I don’t want this to be a doom and gloom episode, but I’m also not going to lie to you. Right? I do believe that’s that’s one

Jordan Wilson [00:02:20]:
of the reasons, why this everyday AI thing has has grown a little bit. It’s it’s thanks to you, but it’s also because I bring receipts, I bring facts, and I don’t lie to you. So I know it’s gonna be a hard truth. I might, you know, lose some of you all from this episode. That’s okay. But I’d rather stick here and and speak the actual truth to you because it’s important. Right? Uh-huh. Our our our careers are at stake.

Jordan Wilson [00:02:49]:
Our, you know, companies are at stake. It is that important. Right? But again, there’s optimism here. Don’t worry. We’re gonna get to it. Alright. So if you haven’t already, make sure to go to your everydayai.com. Sign up for that free daily newsletter, and something something fun.

Jordan Wilson [00:03:09]:
So normally we go over the AI news. We’re not gonna do that today. That’s all gonna be in the newsletter. Don’t worry. But, hey, to celebrate our 1 year anniversary for for all of you guys, thank you. So, we are giving away, some Meta Ray Ban smart glasses. So they actually just, you know, introduced a whole lot of new AI powered features, in the glasses. So make sure to check out the daily newsletter today.

Jordan Wilson [00:03:32]:
All you have to do is refer at least one friend, to enter the giveaway, and we have a lot of other prizes as well. So I actually said this. I said, hey. If if 10 people, you know, repost this episode, you know, I I I I have some more giveaway items in mind. So if this is helpful at the end, please repost this episode. Alright? Also, I do wanna know from our livestream audience. Right? Yes. This is a podcast, but it’s also a livestream.

Jordan Wilson [00:03:56]:
So, I’m I’m curious whether it’s your first time here or you’ve been here for a while. How do you feel about this this AI and job situation? Do you feel like, a, it’s it’s not at all a threat? You you know, AI isn’t a threat. Our jobs aren’t gonna be taken. B, you know, do you feel, not really. Maybe AI is gonna take a few jobs. Right? So the question is, do you feel AI will take our jobs? So, a, not at all. AI isn’t a threat. B, not really.

Jordan Wilson [00:04:21]:
Maybe it’ll take a few. C, quite a few jobs will be lost. Or d, AI will disrupt many jobs. Right? Another thing that I’d like to do I love interacting with you all, but I’d like to get, take the pulse of of people who are following generative AI and to see what they think. Right? So so please let me know as we as we go on here. So, let’s let’s get this thing started, and and and, hey, thank you all. Thank you all for your support. You know, Carolyn just saying bring it.

Jordan Wilson [00:04:50]:
Juan saying congrats. Thank you. Doctor Harvey Castro, been around since day 1. I love it. Michael’s joining us on YouTube. Rob, first time watching live. Long time post live viewer. Cool.

Jordan Wilson [00:05:02]:
Alright. Well, let’s let’s get into this. I’m not gonna drag you on, and and just we’re gonna get straight straight to it. Yes. AI is going to take so many jobs. We’re gonna we’re gonna break it down. We’re gonna show you all the studies, all the facts, all the screenshots, all the receipts. But to answer the question, yes.

Jordan Wilson [00:05:21]:
Not gonna make you, wait around 20, 30, 40, 50 minutes, to get the end answer. The end answer is yes. AI is going to take so many jobs. Unfortunately, it is going to have a net negative impact, on the job market, and I’ll tell you more about that in the long run. Yes. AI is going to create millions of new jobs that don’t exist today. No. It will not be the same or more than the jobs that currently exist.

Jordan Wilson [00:05:50]:
And we’re gonna take a more historical look at that here in a second, but that’s that’s the end goal. If you don’t need anything else, yes, AI is going to take a lot of jobs. It is going to take away more jobs than it does create. And it is the the new way to work. Right? So even if this is your first time or maybe you’re listening to this podcast and you haven’t really used generative AI before. Alright. Well, I’ll say this. Do you use the Internet for your job? Do you Google things? Alright.

Jordan Wilson [00:06:18]:
And I’m I’m guessing if if you’re a knowledge worker, like like probably so so many of us are, right, if you sit in front of a computer for most of the day, and you’re paid for your knowledge and your expertise, you will be using generative AI daily, hourly, minutely is minutely a

Jordan Wilson [00:06:36]:
a word? Minutely if if you aren’t already. Alright. So just just get that. Even if

Jordan Wilson [00:06:43]:
your company is still, you know, on the fence, 1 foot in, 1 foot out, you’re gonna be using generative AI every single day, every single hour, every single minute, if you’re not already. Alright? So I also don’t want you to all think of AI as a threat, even though in theory it is. Right? You think, oh, is this friend or foe?

Jordan Wilson [00:07:06]:
You need to be able to work with AI. Alright? So again, it’s

Jordan Wilson [00:07:10]:
I’m I’m not sitting here rooting for AI just because I have a daily podcast.

Jordan Wilson [00:07:14]:
I’m not. I don’t want this to happen. I don’t want there to

Jordan Wilson [00:07:18]:
be a net negative impact on jobs, especially here in the US. Right? I should I should definitely denote that. You know, most of my vantage point I’m from Chicago, so most of my vantage point here is talking about, this situation here in the US. That’s what I spend every single day talking to experts about reading, about writing, about researching about, is is the impact of generative AI here in the US on the economy, on our companies, on our

Jordan Wilson [00:07:44]:
careers. Alright. So it’s gonna take a

Jordan Wilson [00:07:48]:
lot of jobs, but let me, let me first explain my vantage point because I’m sure there are a lot of you people here tuning in for the first time, whether it’s on the podcast or the livestream. I’m not gonna get into my my my background, too much, but I’ll tell you this. Right? I’ve been working, you know, full time in different Martech communications roles for more than 20 years. Right? I’ve been getting paid to write professionally since I was 17. I started working full time, as a teenager at my daily newspaper. So I’ll tell you this, I’m not some, you know, bushy eyed 22 year old who who doesn’t really know how the world works. I’ve been lucky enough to work with some of the largest, brands in the world. You know, Nike, Jordan brands, spent a very long time, partnering with them.

Jordan Wilson [00:08:41]:
You know, I have a digital strategy agency for the last 5 years. Been lucky enough to work with, you know, Fortune 500 Companies, Inc 5000 Companies. So I don’t come to you as someone that’s not experienced. Right? I also don’t come to you as someone that doesn’t care on the on the on the latter end of their career. Right?

Jordan Wilson [00:09:02]:
I don’t I don’t wanna tell

Jordan Wilson [00:09:03]:
you how close I am to 40, but I’m pretty close. But what I’m telling you is this, I have enough experience, you know, in my professional career, I think, to have a valid opinion on this. Like I told you guys, I’ve I’ve talked to, you know, probably a 150 guests on the Everyday AI Show over the past year. Literally, the brightest minds in the world when it comes to generative AI. Leaders from Microsoft, IBM, NVIDIA, you know, everyday startups, like everyday people, but I’ve talked to some of the smartest people. And I always talk to people before and after the show too. And there’s things, you know, they don’t wanna say out loud. Right? And I don’t repeat those things, but I do have a a collection, you know, going to all these conferences, being able to meet, you know, people building the future of work.

Jordan Wilson [00:09:52]:
I have a lot over the past year, thousands of hours

Jordan Wilson [00:09:56]:
of conversations with very smart people. That’s my vantage point. Again, I’m not rooting for AI just

Jordan Wilson [00:10:03]:
because I have a a a daily media company covering it. That’s not the case here. Right? My background, actually. You know? I spent 9 years working in a nonprofit. I generally care about people. Right? That’s that’s honestly, that’s one of the reasons why I started everyday AI. You know, about 30 minutes ago, I relistened to that very first episode. I said I did this episode exactly 1 year ago to the day, and a lot of those same reasons hold true today.

Jordan Wilson [00:10:32]:
I care about people. Right? And I feel, you know, whether you wanna say lucky enough or unlucky enough, but feel I’m in a position with with my background. You know, I’ve I’ve used hundreds of of AI products, you know, dating back to about 4 4 ish years ago. You know, our team’s been using the GPT technology since it came out in 2020, since it was, you know, publicly available through third party tools like Copy AI, Jarvis at the time. I feel that I’m in a very unique position to be able to hopefully help people. And that’s ultimately what I wanna do. That’s that’s what everyday AI is. It is to help everyday people because AI is coming at us fast.

Jordan Wilson [00:11:10]:
Generative AI is coming at us fast, and it’s not all good, unfortunately. And, you know, I noticed about 2 years ago, right, I said our team had been using the GPT technology. I wanted to learn a lot of other things outside of that technology, so I looked everywhere, and I couldn’t find anything. Everything like, it felt like you had to have, like, 5 PhDs in different types of machine learning just to understand what people were saying or what people were writing about. So this is for you. This is for all of us. Right? Because I feel I feel if you are learning every day, I feel if you’re putting the things that you learn into practice practice, we’re going to be okay. We’re gonna be okay.

Jordan Wilson [00:11:49]:
Alright? So that’s that’s my vantage point. So now let’s talk facts. Alright. Let’s talk facts and, you know, hey. If you are if you are joining us live, thank you all. If you do have questions, I’m gonna try to get to the questions, you know, like like Rob saying, is there an e in that, poll? No. No, Rob. There’s not.

Jordan Wilson [00:12:11]:
You gotta pick one of those. But if you do have questions, I’ll try to tackle some at the end. I might I might not have time. I might go a little long, but let’s talk facts here, y’all. Alright. So when we talk about will AI take our jobs, again, my first career, I didn’t even get into this. I was an investigative reporter. You know, I reported on a lot of different things, but I spent the majority of of my career covering things like sports and politics, but I was always investigating.

Jordan Wilson [00:12:36]:
Alright. So we’re gonna go over facts. We’re gonna go over receipts. I don’t make these claims lightly when I say, yes. AI is going to take your jobs, all of our jobs, and, yes, it’s going to take away more than it will create. Alright. So I’ve talked about this study a couple of times. McKinsey Digital.

Jordan Wilson [00:12:54]:
So, and we’re all gonna have this in the newsletter if you wanna read more. If you’re like, oh, this this Jordan guy seems weird. It doesn’t seem like he’s, you know, knows what he’s talking about. He’s making stuff up. No. I’m not. So, a little excerpt here from a McKinsey, McKinsey Digital study, and this one’s a little old, so it should be getting updated here hopefully in a year. Gen so it says current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70% of employees’ time today.

Jordan Wilson [00:13:25]:
Alright? And also this study was updated because previously they said 50, and then they’re like, oh, wow. Wait. This whole generative AI thing is pretty big. Right? And if you don’t know, McKinsey is one of the largest consulting companies in the world. So they have many people who just study this. So they were like, oh, wait. When we said 50%, we are actually wrong. This generative AI thing is actually pretty good.

Jordan Wilson [00:13:49]:
It’s it’s actually 60 to 70%. Whoops. No. It’s not. It’s this is also if I’m being honest, this is false. It’s much much much much higher than 70%. My best estimate is probably 80 to 85%. Yes.

Jordan Wilson [00:14:05]:
80 to 85%. We’re gonna talk about that, more here in

Jordan Wilson [00:14:08]:
a bit, but think. If you are a knowledge worker, if

Jordan Wilson [00:14:12]:
you are getting paid for your expertise, you are sitting in front of a computer, you are reading, you are analyzing, you are writing, you are creating, which is what most of us do. McKinsey says 60 to 70% of that can be automated with generative AI. That’s an understatement. K? But facts. More facts. So this is both from the World Economic Forum and the International Monetary Fund. So you might be saying, alright, Jordan. Yeah.

Jordan Wilson [00:14:41]:
Some consulting company in the US, not a big deal. Alright. Well, what about when we talk about worldwide and the impact of AI on jobs? Alright. So, again, the World Economic Forum and the International Monetary Fund both referenced this, and here’s what they said. They said in advanced economies like the US, about 60% of jobs are exposed to AI due to the prevalence of cognitive task oriented jobs. K? Knowledge work. So what they’re saying here is 60% of jobs have the exposure to being displaced by AI. More receipts.

Jordan Wilson [00:15:24]:
More receipts. You need more facts? We got more facts. Goldman Sachs. Goldman Sachs. Regardless of what you think of them. Right? One of the largest financial institutions in the world. Some of the smartest, financial analysts and researchers on the planet. So here’s what they said, and this is a quote here.

Jordan Wilson [00:15:46]:
So we find that roughly 2 thirds of current jobs are exposed to some degree of AI automation and that generative AI could substitute up to 1 fourth of current work. Extrapolating our estimates globally suggest that generative AI could expose the equivalent of 300,000,000 full time jobs to automation. Alright? So that’s looking at a global perspective, but 300,000,000 jobs could be exposed to AI. Right? And I’ve read I’ve read all these studies and, you know, you do have to pay attention to the words, you know, exposed to, AIs essentially saying, hey. We don’t know if all these jobs if these 300,000,000 jobs are going to disappear, but these 300,000,000 jobs have exposure

Jordan Wilson [00:16:32]:
to be replaced or displaced. Alright? And, also, we’re gonna have more

Jordan Wilson [00:16:40]:
in the in the newsletter, but so many people talk about, oh, okay. Well, this is just how the world works. No. It’s not. No. It’s not. I wish this was just how the world works. This is not generative AI, and we’re gonna get to the difference between AI and generative AI, but generative AI is not, like the Internet.

Jordan Wilson [00:16:58]:
It is not like the cloud. It is not like mobile. Right? We think of these big,

Jordan Wilson [00:17:04]:
innovations and it’s not like the PC. It is not like that at all. Those things change the way that we share intelligence. Generative

Jordan Wilson [00:17:17]:
AI is changing how we create intelligence, and it is creating intelligence on its own. Yeah. I know you don’t believe me, but I brought brought the receipts. So let’s talk about more AI and job loss. Guess what? It’s already been happening. Yeah. It’s already been happening. Have you have you seen this? Have you noticed it? Alright.

Jordan Wilson [00:17:39]:
If you follow everyday AI, you’ve noticed it because we share about it every day when this happens.

Jordan Wilson [00:17:48]:
But, again, if you’re new here, let’s take a look. So IBM was one of

Jordan Wilson [00:17:53]:
the first large companies that explicitly stated job loss or not hiring for roles because of AI. And stick around for later in the show because we’re gonna see if that paid off for them. They were one of the first. So IBM announced 7,800 jobs wouldn’t be filled due to AI. Google. Alright. Google laid off 100, in its sales team with a c suite officer citing the, quote, unquote, profound moment we’re in with AI as a reason, and this was earlier this year. Alright.

Jordan Wilson [00:18:27]:
So now we’re in 2024. Right? We’re 3 and a half months in. UPS announced 12,000 jobs would be cut due to advancements in AI in January of this year. SAP, you know, one of the largest software companies in the world, announced plans to restructure 8,000 roles in 2024 due to AI. Cisco just announced 4,000 employees would be laid off to focus on AI in 2024. Google CEO literally is warning employees about layoffs in 2024 due to AI even though they have record profit. Instacart cut nearly 2,000 jobs, saying it needs to focus on AI in 2024. Coinbase.

Jordan Wilson [00:19:18]:
Right? If you’re worried about, hey. These these small tech companies, future tech companies, they’re just growing. No. They’re not. Look at these 3. Coinbase laid off 20% of its workforce in 2024, saying AI will automate those tasks. And Anthropic, yeah, you’ve heard of Anthropic. It just laid off 20% of its workforce in January of this year, citing a need to focus more on AI safety.

Jordan Wilson [00:19:45]:
Right? So even these companies generating record profits are cutting jobs. And, really, IBM was the first, but now we’ve seen this slew of companies, almost like it’s en vogue now.

Jordan Wilson [00:20:01]:
And we’re gonna get to that.

Jordan Wilson [00:20:02]:
We have some original research today, y’all, which which I’m excited to share with you. It’s almost en vogue now in 2024 to say that you’re cutting jobs due to AI because before, almost no one was talking about it. Right? It was almost like taboo to say, ah, yeah. We’re we’re cutting jobs. You know? We’re we’re laying off 2,000 people because of AI or, hey. Normally, we’d hire these, 5,000 people, but, you know, that’s gonna go off to

Jordan Wilson [00:20:27]:
AI, so we’re not gonna hire them. It was taboo in 2023 to talk about that. There is a trend. There’s a trend. We’re gonna get to that. But now in 2024, companies are understanding that it actually pays to lay off employees and say it’s because of AI.

Jordan Wilson [00:20:52]:
Yeah. We’re gonna get to that more. Alright. So maybe you don’t believe in facts and trends. Maybe you hear and read and see things on the Internet that you believe in, and you’re like, alright. This Jordan guy’s crazy. He he really needs to stop talking about AI every day. He’s becoming a robot.

Jordan Wilson [00:21:11]:
This AI information is swarming his brain.

Jordan Wilson [00:21:15]:
Oh, it’s not. No.

Jordan Wilson [00:21:17]:
It’s not. I I like to fancy myself a somewhat critical thinker. I like to talk with people who don’t believe anything I say, so I can understand their point of view as well. So let’s tackle some misinformation on AI’s impact on jobs because, I think we have 8 or 9 things here that we’re gonna go through. Common misconceptions. Because I’m telling you right now, you are not going

Jordan Wilson [00:21:41]:
to get the benefit. And I’m not saying the

Jordan Wilson [00:21:43]:
benefit of this show like it’s something fancy. Right? But you are not going to get the benefit of generative AI. You are really going to put yourself, your company at a tremendous disservice if you do not fully embrace generative AI, if you have one of these mental blocks, if you are believing some of these things that are straight up misinformation or straight up not true. And so many of these these thoughts, ideas, and misconception, misconceptions are so popular that you see them in the mainstream media, but

Jordan Wilson [00:22:13]:
they’re all false. All of them are false. It’s not Tuesday, but we

Jordan Wilson [00:22:20]:
got a couple hot takes coming. And, hey, livestream audience. Livestream audience. Right? Denise joining us saying, it is creating its own intelligence. Douglas joining us saying gen AI is creating itself. Yes. Let me know about these misconceptions. Are you seeing these? Are you hearing these? What are your thoughts on them? I’m gonna go through later.

Jordan Wilson [00:22:40]:
You know, might finish this today, might finish it tomorrow over the weekend. I’m gonna if if if you’re joining on LinkedIn, I’m gonna answer every single comment and question out there. So now

Jordan Wilson [00:22:50]:
is the time. Normally, we have guests that do this. I’m gonna

Jordan Wilson [00:22:53]:
do this. Alright? So let’s tackle the misinformation on AI’s impact on jobs. Number 1, this phrase should be banned, and you’ve probably listened to it. And you’ve probably thought, oh, that’s

Jordan Wilson [00:23:07]:
smart, and you’ve probably spread this message throughout your company. K? Someone’s saying this on social media. AI won’t take your job. Someone using AI will take your job. Right?

Jordan Wilson [00:23:26]:
Couldn’t be more false. Couldn’t be more false. You know what? I’m gonna, put this in the newsletter. This is a tactic that, quote, unquote, influencers, I call them Billy Boys, these, you know, 22 year olds that live in their mom’s basement that used to be crypto experts, and then they were NFT experts, and then they just converted their audience to AI, and they’re all in these engagement pods. So when they they write this on LinkedIn, it goes viral. And small business owners, people who work at Fortune 500 companies maybe don’t know any better. And they see this and they think, oh, okay. Well, my company doesn’t need AI.

Jordan Wilson [00:24:01]:
Right? Or I don’t need AI. Because, hey, as long as I’m using AI, my company’s safe. My job’s safe. Couldn’t be further from the truth. This is a bunch of rubbish, a bunch of malarkey. Alright? Let me tell you something. AI is not a one to one replacement. Right? It’s not like if if you’re using AI or your department’s not using AI, one person is gonna come in there and say, okay.

Jordan Wilson [00:24:30]:
Okay, Bill. You’re not using AI. I am using grade, I am using AI. I’m great at it, so I’m gonna take your job now. No. That one person who is great at AI is going to take over 10 jobs eventually. Right? And that department of 50 becomes a department of 5. And then what happens with those 5? Well, those 5 then are going to, in theory, become better.

Jordan Wilson [00:24:56]:
They’re gonna be building stronger generative AI processes. The models are gonna get smarter and smarter. The 5 become 3. You know? And then the 3 work on agents. And then they work on agents that are completely automating all of these tasks that the 50 used to do. Again, y’all, this isn’t gloom and doom. This is where the world is heading. Whether we like it or not, I don’t necessarily like it.

Jordan Wilson [00:25:20]:
I personally like to type and pound on the keyboard and sometimes do things manually. It makes me feel alive. Right? But that’s not the way the world is heading. So if you see that, again, this is a tactic. Go search for this on Twitter. There’s thousands of people who say this every week, and they’re all in these engagement pods and, you know, these posts go viral all the time to make you believe it and then they sell you some crap. Stop believing it. If you see this, never listen to that person again because they don’t understand.

Jordan Wilson [00:25:52]:
Ask that same person, when was the last time you read benchmarking reports from large language models? When was the last time you read a research paper on generative AI? They don’t do that. That’s what I do. Luckily, you know, my wife’s pretty cool and I’m like, hey, I’m gonna spend all weekend, you know, reading these, you know, new prompt engineering papers. And she’s like, yeah. That’s good. Alright. That’s what I do. I come here with facts.

Jordan Wilson [00:26:16]:
Alright. Number 2. Number 2, big piece of misinformation when

Jordan Wilson [00:26:21]:
it comes to, AI and jobs. People say AI cannot perform at

Jordan Wilson [00:26:27]:
a human level. Yes. It can. It absolutely can. People people always screenshot something online, and they’re like, oh, look. ChatGPT stinks. No. You stink at using it.

Jordan Wilson [00:26:36]:
Alright? The problem is you have the smartest people in the world building generative AI, but then you have, yeah, these, you know, 20 year olds trying to teach you. Alright? No one’s actually learning. But here, if you want to know, is AI better than humans? Yeah. It it absolutely is. We’ve far achieved what’s called, you know, artificial narrow intelligence, and we are very close to artificial general intelligence. Right? So what that means when we talk about AI, AI is not new. We’re gonna get into that in a second. When we talk about generative AI, technically not new, but, you know, the smartest people in the world kind of say chat g p t was the kind of quote unquote official start of generative AI even though it’s technically not.

Jordan Wilson [00:27:21]:
But people just like to say that’s the, you know, b c a d moment. Right? That’s the line in the sand. But we’ve already achieved this concept of, hey. AI is smarter than humans in every single tasks. Right? Every single task. So we’ve already achieved this, you know, artificial narrow intelligence where, hey. The best writer in the world, AI is better. I’ve won national writing awards.

Jordan Wilson [00:27:46]:
I run I won ACP store of the year. I won a Pulitzer fellowship. Chat GPT is a way better writer than me, but you have to know how to use it. Any single task that involves knowledge work in front of a computer, I’m sorry. AI is better than you at that one task. Is AI yet at that point when we talk about AGI and agents, you you know, so artificial with general intelligence, that’s when essentially, when an AI system across a variety of tasks can perform better than the best human at all of these tasks regardless of the task. We’re not there yet, but we’re very close. Right? I partnered with NVIDIA.

Jordan Wilson [00:28:23]:
I think that was last month. Got to go to some closed door sessions. Right? And the NVIDIA CEO, who I think is probably one of the smartest people in the world when it comes to AI, Essentially said, yeah. We’re less than 5 years out from from AGI, from artificial general intelligence. Right? And and and don’t think either because I think people have this this misconception of AGI that that means Terminator robots. Could it mean that? Yes. Does it mean that? No. That just means a single AI system across no matter that the task or the field when it comes to knowledge work, the AI will be better than the best human in all of those areas.

Jordan Wilson [00:28:57]:
I think we’re very close. I think we’re a lot closer than people want to admit, than they want to talk about, but that’s the reality. So you can choose to live in the reality, or you can choose to say, oh, I’m better at AI at this.

Jordan Wilson [00:29:09]:
No. You’re not. No, you’re not.

Jordan Wilson [00:29:12]:
The thing is, with large language models, they’re actually not the best for every single use case. Right? They’re essentially if you know what if if you know what you’re doing, you know, they’re they’re b plus at literally everything, which is scary. Right? So once it becomes a, right, once it gets an a grade at everything, then that’s when, oh, well, we probably achieved AGI at that point and the the AI is, you know, self aware.

Jordan Wilson [00:29:34]:
Right? We’re not there yet. We’re very close. However, let’s say you’re a data analysis. Right? A data analyst.

Jordan Wilson [00:29:43]:
AI is better than you at your job in limited scopes if you know how to work the system. Let’s say you’re a coder, developer. AI is better than you. It’s faster.

Jordan Wilson [00:29:53]:
It’s better. Every single time. Say you’re a creative writer. AI is better than you. K? Accountant. At certain tasks, AI

Jordan Wilson [00:30:03]:
is better than you. At certain tasks, a certain AI system fine tuned or built or trained or tweaked to perform a certain task is better than you at that task every single day out of the week if you know what you’re doing, but most people don’t understand that. Misconception number 3, AI will only affect low skilled jobs. Nope. Wrong. Recent studies say the exact opposite. They say one of the most at risk positions is college graduates making $80,000 a year more. Those highly, you know, quote, unquote highly paid, highly skilled workers that companies are paying a lot for for their knowledge, for their expertise.

Jordan Wilson [00:30:42]:
Guess what? When you can turn that knowledge and expertise into data, when you can turn it into training documents and then build a model around that, all of a sudden, the thing that we’ve been paying

Jordan Wilson [00:30:54]:
a lot of money for for many decades becomes commoditized. That’s okay.

Jordan Wilson [00:30:59]:
You have to become okay with that. But advancements in generative AI affect both low and high skilled jobs. So, yeah, we’re talking about legal, medical, creative. All these sectors are technically a risk, technically exposed. Right? We talked about all of these reports, the Goldman Sachs report. We talked about the World Economic Forum, report, the, McKinsey report. It is the jobs of not just low skilled. Right? We’re not I I think when people think about AI, they think, you know, oh, we’re gonna have all these robots now working, in factories and not humans, but I don’t work in a factory.

Jordan Wilson [00:31:38]:
No. Well, that’s probably gonna be happening, but it is knowledge workers. If you are someone I cannot cannot emphasize this enough. If you are someone that sits in front of a computer and gets paid for your knowledge, expertise, whether you are fresh out of college or you’ve been in a field for 10, 15, 20 years. Why does that company pay you? Yes. There’s obviously, you know, you have to be able to navigate corporate culture. You have to be good interpersonally. You have to have soft skills.

Jordan Wilson [00:32:05]:
You have to be a great communicator. But at the end of the day, one of the reasons they pay you is you have a certain level of knowledge and expertise in a certain domain. Right? You are a highly skilled worker with experience. You have this brain full of knowledge. Guess what? Smart companies are creating domain specific models, and they are paying people like you whether you know this or not. Go look. Go look in your field. Go look in your field.

Jordan Wilson [00:32:34]:
There’s someone out there that’s raised tens of 1,000,000, 100 of 1,000,000 of dollars to build a large language model specifically in that field. And they are paying people like you to go in there and train their models. So if you think that knowledge in your head, if you think that 10, 15, 20, 25 years of experience, if you think you’re special, someone out there that’s actually smarter than you is getting paid right now decent money to go train a model specifically for that task or skill that you think is so special. None of

Jordan Wilson [00:33:05]:
us are special anymore. Right? It was great for,

Jordan Wilson [00:33:09]:
you know, 50, 60, 70 years. We got paid great money to be specialized and to have, a knowledge in something.

Jordan Wilson [00:33:19]:
I’m not saying that’s gonna go away tomorrow. That’s not what I’m saying here. But it

Jordan Wilson [00:33:22]:
is going to become commoditized sooner rather than later. The writing is already on the wall whether you wanna read it or not. That’s up to you. Alright? And a lot of these a lot of these recent studies have actually showed that skilled jobs in developed economies may be the most heavily impacted. K? Number 4. So this is our list of bad information that’s out there regarding AI and job loss. But people are saying human intelligence, creativity, and empathy can’t be replicated by AI. Yeah.

Jordan Wilson [00:33:53]:
They can. Yeah. They can. Oh, you want facts? Those are the 3 those are the 3 areas people always say. Oh, well, AI can’t do this, this, and this. No. You don’t understand AI. Right? Yeah.

Jordan Wilson [00:34:06]:
I can. Right? Ready? Human intelligence. People say, oh, you know, large language model, generative AI, all it is is just it’s just regurgitating what other what what knowledge is already out there.

Jordan Wilson [00:34:19]:
Nope. No. It’s not. It is creating its own intelligence.

Jordan Wilson [00:34:23]:
Right? So we talked about this on the show before, but as an example, Google fun search, which is a specifically trained large language model from Google, it solved a decades old math problem that literally you had countless mathematicians and scientists spending their careers to try to solve this math problem. They couldn’t do it. Google built a large language model that solved it. So if you think that large language models cannot create intelligence, if you think they just regurgitate, if you think they are simply, next next token predictors, then you’re wrong. Right? That’s like saying Michael Jordan was just, you know, someone that sat on the bench at an NBA game. Okay. Yeah. He did.

Jordan Wilson [00:35:12]:
Yeah. He was on the bench a lot. Right? Resting or if there’s a blowout. So both of those things can be true. Michael Jordan can just be a player that sits on the bench, but he can also be the greatest player ever. So if you think generative AI is simply next token predicted, next token prediction, and it’s just regurgitating information, yeah, kind of accurate, but it is also out there being the GOAT. It is being the greatest of all time. It is already creating new intelligence and smashing records.

Jordan Wilson [00:35:47]:
Your thought or, you you know, it’s it’s it’s your call if you want to understand things or not. Alright. So that’s human intelligence. What about creativity? Well, a University of Montana study published showed that AI tested in the top 1 percent for original creative thinking, and this was a blind test based on thousands of college students.

Jordan Wilson [00:36:11]:
Top 1%. Seems pretty creative to me. You can train a model to be creative, to think creatively. Guess what creativity is? Whether you wanna think so or not,

Jordan Wilson [00:36:26]:
you are acting as a large language model when you are being creative. You are thinking about every single creative thing that you’ve ever seen. And you are thinking, okay, how can I connect all of these dots and come up with a creative idea, a creative strategy for my company, for my career, etcetera? That’s all you’re doing, is you are processing things in the past that have been creative or you are processing where creativity has not existed yet, but your brain is processing information that already exists when you are creating new creativity. That’s what models do. If you wanna argue with science and math and stats, you can. Empathy. So a very famous study showed that chat GPT was 9 point 8 times. So 9 x more empathetic than doctors when it came to bedside manner and they were testing for empathy.

Jordan Wilson [00:37:15]:
So if you think AI cannot create its own intelligence, you’re wrong. If you think AI cannot be creative, you’re wrong. If you think AI cannot be empathetic, you’re wrong.

Jordan Wilson [00:37:28]:
It’s not me. That’s facts. Number 5. AI has been around for decades and hasn’t disrupted jobs. Yeah.

Jordan Wilson [00:37:35]:
This one’s funny. People are like, oh, AI. Yeah. I’m not gonna worry about that. That’s like the the boy who cried wolf. We’ve heard this before. Yeah. AI’s been around since the fifties.

Jordan Wilson [00:37:45]:
Right? So people say, AI is nothing new. AI is not going to disrupt anything. Wrong. Right? So, yes, traditional AI, deep learning, machine learning, neural networks, had been around, and they’ve been used in certain niches and verticals for many decades. Right? An easy one is in the financial sector. So you’ve had kind of these deep learning algorithms being used to, you know, detect identity theft or, to detect fraud for many decades. So people say, oh, AI’s been around for decades. I’m not worried about it now.

Jordan Wilson [00:38:25]:
Well, maybe you should because there’s a difference. Generative AI is completely different because if you were a company or a an individual that wanted to use AI in the eighties, good luck. It was super expensive and it’s very few people could actually build or use the technology, let alone make any use case of it. It was for very specific use cases in niche verticals. Yes. It was used all over, but it was very specific, very expensive, very limited. That’s not what AI is now. When we

Jordan Wilson [00:38:58]:
talk about generative AI, generative

Jordan Wilson [00:39:01]:
AI is affordable. It’s accessible. It’s reliable if you know what you’re doing. This is, I think, the first time in human history that the the difference between the the biggest companies in the world with the best technology and the everyday person that has nothing. Right? It used to be worlds of difference between capabilities, tool sets, tech stacks. Not anymore. Right? Not anymore. Some of the biggest companies in the world.

Jordan Wilson [00:39:30]:
I know. Hey. We even just had someone, someone from a public company on the show yesterday, from from LanzaTech. They based their model, right, which they’re getting great results off of. They based their model off of GPT, which anyone can go have that for $20 a month. You gotta pay for the pro version or the chat gpt plus. Right? But they’re the biggest companies in the world that are getting the most out of generative AI right now are using the same technology that’s available to all of us for a mere $20 a month. That’s it.

Jordan Wilson [00:40:03]:
That has never happened in the history of humankind. So generative AI for the first time is affordable, accessible, and reliable. And right now, we are hitting a sweet spot. We are hitting a sweet spot of compute, capabilities, and cost. Alright? What that means, AI is more powerful than ever, it is more capable than ever, and it is more affordable than ever. So we are in a sweet spot and 2024 is going to be wild. Right? I think that’s one of the reasons why you’ve seen, especially in the early part of 2024, we went over. Right? We bought brought receipts.

Jordan Wilson [00:40:42]:
But that’s why we’ve seen these big companies being like, yeah. We’re gonna lay off 5,000 jobs, and we’re fine saying it’s because of AI. Because these big companies realized about a year and

Jordan Wilson [00:40:51]:
a half ago, oh, yeah. Our knowledge workers that were paying a

Jordan Wilson [00:40:55]:
lot of money and were hiring tens of thousands of them a year, we we can stop doing that. We can start investing in our own internal systems. Right? We can start investing in creating our own, language models based off of this domain specific knowledge and expertise that is our IP. Alright. Number 6. This one’s fun. Jobs historically evolved and shift, but AI is just a part of that. Right? People say, hey.

Jordan Wilson [00:41:25]:
It is human nature that jobs just change. And, hey. This new AI thing, it’s gotta be the same. Right? Yes. There’s there’s periods of ups and downs when it comes to, you know, as an example, unemployment in the US. People say sectors change, jobs change. That’s true. It’s true.

Jordan Wilson [00:41:41]:
Right? It’s it’s why we don’t have, you know, the same number of, you know, switchboard operators and and farmers and, you know, industrial factory workers that we did 60 years ago. So people say AI is going to be the same as that. They’re just saying, oh, no. All the jobs are just gonna change. Nope. Not true. Because AI’s scale and speed of change are unprecedented. Let’s even look at the example of switchboard operators.

Jordan Wilson [00:42:10]:
Right? I think this is, an interesting one. It took 30 plus years for companies at large to phase out switchboard operators even when it was widely understood that there was better technology. Right? So call centers, automated customer service, VoIP. Right? All of these things. Even with all these things, it still took 30 plus years to kind of, quote, unquote, phase out. But they came out with a similar number of roles. Right? Switchboard operators versus, you know, let’s just call it customer service, similar amount

Jordan Wilson [00:42:45]:
of roles, and it took decades. Right? So I’m not I’m not picking on these these, sectors

Jordan Wilson [00:42:53]:
or lines of work, but think of that now for data entry. It’s not gonna take 30 years to phase out data entry roles. It’s gonna take a year or 2. Customer service. Right? Very smart CEOs have said, yeah. Customer service, for the most part, is gonna be AI pretty soon, which, if I’m being honest, might

Jordan Wilson [00:43:11]:
be better. Sorry. It might be, right, Pretty soon. Customer service, content writing, all the coding. Right? All of these types of jobs. And there’s been reports on that. We’re gonna share

Jordan Wilson [00:43:29]:
in the newsletter that I’m I’m not here to list, you know, 500 stats and facts. But all of these types of jobs are going to largely be replaced or impacted by generative AI in a in a year or 2, not 30 years. That’s the thing. AI is made to automate automation. AI is made to eventually replace the need for humans. Whereas previous, changes, right, like, as an example, you know, phasing out or transitioning out of the industrial revolution or whatever you wanna say, the dotcom. Right? If you look at these major, eras in the the the US economic history, it it

Jordan Wilson [00:44:15]:
it is kind of changing a for b. Right? Changing b for c. It’s not like that anymore. The future of where we are, we are training AI systems to take the place of humans. It stinks to say that, but that’s the reality. Yeah.

Jordan Wilson [00:44:34]:
I got more receipts. Don’t worry. Don’t worry. Alright. 7. AI will create more jobs than it takes. No. It won’t.

Jordan Wilson [00:44:42]:
Not even close. Will AI create millions of new jobs? Yes. Will it create new industries? Yes. Will it create, new sectors that we didn’t even think today can exist? Yes. Of course. It’ll create probably tens of millions of new jobs, new roles, new sectors, new industries. Yes. It’s not one to 1.

Jordan Wilson [00:45:02]:
It’s not one to 1. AI will have a net negative impact on employment. It will. Right? Because AI, like I said, it’s built in a way to automate knowledge work, which is the main skill that humans have. Alright? When we talk about the Internet, the Internet wasn’t built to replace the main skill that humans get paid for in their jobs. That is specifically the intent and purpose of these AI systems. Right? We’re gonna talk about agents here in

Jordan Wilson [00:45:33]:
a second. All of the money right now, 1,000,000,000 of dollars is going to the companies who are trying to replace the value of a human in a job. I hate saying it. That’s the truth. Alright. Also,

Jordan Wilson [00:45:52]:
AI is automating the creation, curation, and dissemination of knowledge. That part’s important. Right? I wrote that down. I’m like, wait. That’s pretty good. Let me say it again. AI is automating the creation of knowledge. It’s automating the curation of knowledge, and it’s automating the dissemination of knowledge, all things that in general humans do in different domains and verticals.

Jordan Wilson [00:46:16]:
Reskilling and upskilling will take decades. So if you think, oh, yeah. You know, next year, there’s gonna be, you know, 5,000,000 newer, you know, 5,000,000 jobs are gonna be gone and these 5,000,000 new roles that didn’t exist are are going to exist now. No. Reskilling and upskilling will take decades. Largely because the current US higher education system is failing in training the workforce of tomorrow. Also, let’s be honest. CEOs and Wall Street don’t want humans working.

Jordan Wilson [00:46:47]:
Yeah. Which which takes us to our last point here. Companies will prioritize ethics and deploy AI responsibly to protect their workers. Nah. No. They won’t. Right? That’s that’s PR. Right? That’s that’s marketing companies, you know, especially these big public companies that say, oh, yes.

Jordan Wilson [00:47:10]:
We care about ethical AI deployments. We are going to use AI respond responsibly. We are going to protect our workers. No. They’re not. They’re protecting shareholders. They’re protecting their CEO who wants to go from making 20,000,000 this year to 22,000,000 next year. And if that means laying off 11,000 humans, then that’s what they’ll do.

Jordan Wilson [00:47:39]:
Alright. Ready? More receipts, y’all. Yeah. Probably didn’t like that one. That one probably hit. Right? This Jordan guy’s a jerk. No. I’m not.

Jordan Wilson [00:47:48]:
I’m just presenting the facts. Ready? We have more receipts and some original research. I’m excited about this one. So I was just talking about will companies, will CEOs, will c suite, will board members want humans or do they want AI? Well, here, I’m sharing a chart here, on the screen here in the live stream. So, again, if you’re listening on the podcast, I know this is a long episode, but you can come back and watch this. But this is this chart here is tracking, the number of S and P 500 companies mentioning AI during quarterly earnings calls. And obviously, it is now skyrocketing. Companies that before were like, you know, we’re not gonna touch this AI thing.

Jordan Wilson [00:48:28]:
Everyone is talking AI. It’s literally like, have you ever had a conversation with someone, and you’re like, this person’s just spitting out a bunch of buzzwords? That’s what public companies are now doing on their quarterly earnings calls. They’re just saying AI, generative AI, agents, AI, generative AI, agents, agents, agents, AI, AI, data, large language models, data. Right? They’re spinning things out because here’s why.

Jordan Wilson [00:48:54]:
This is, yeah,

Jordan Wilson [00:48:57]:
little little original research here. So this is also a a graph from FactSet. Again, we’ll have this in the newsletter. Alright. So this is tracking the number of references in Q4 2023. So, I know Q1 just wrapped up here. You know, we’re in April 2024 right now. But this is tracking for the last full quarter.

Jordan Wilson [00:49:22]:
This probably graph should be updated here soon. The number of times certain companies have mentioned AI in their earnings calls. Right? So NVIDIA a lot. Microsoft, Meta. Right? Like, all these all these companies that that we all that we all know and love. Guess what, y’all? Guess what? I went through and I looked at their their year to date.

Jordan Wilson [00:49:44]:
I’m like, okay. If they were just pushing out AI, everything, AI, everything, AI, everything, are are these companies growing? Well, over this time, the Dow average here in

Jordan Wilson [00:49:57]:
the US went up 2%. Look at how much these companies, the companies that are mentioning AI the most, in theory, are probably implementing AI the most, side note. But, also, all of these companies, NVIDIA up 65% year to date, Salesforce 8%, Cadence, design, 6%. Alphabet, which is Google, 15%. Microsoft, 10%. Meta, 43%. HPE, 20%. Broadcom, 16%.

Jordan Wilson [00:50:22]:
I don’t even know this one. Arista. Sorry. My my my screenshot’s a little blurry. 10%. The companies that are mentioning AI the most are outperforming the rest of

Jordan Wilson [00:50:29]:
the market. So guess what? Companies are saying, oh, wow. We’re crushing it. We keep talking about AI, so then we have to do AI, and then we make more money, and then we outperform everyone else. Our competitors that aren’t talking about AI, they’re not focusing on AI, they’re not implementing AI. Guess what? These companies, as you’ll see in a second here,

Jordan Wilson [00:50:54]:
these are the companies also laying off the most people. Coincidence? No. Talk about AI. Invest in AI. Lay employees off. Profit. But that doesn’t make sense. Right? Because you think, okay.

Jordan Wilson [00:51:09]:
If you mention AI, that means you make more money and then you hire more people. Right? No. Not the case at all. Not the case at all. Alright? So, this this data here I’m showing on the screen, this is from layoffs. F y I, so I’ll link to that. But, do have a, a little bit of original research here, in the right hand column. So this is the 20 biggest layoffs over the past, I believe this is about 18 months.

Jordan Wilson [00:51:39]:
Okay. Because I wanted to have a little bit of context here. Right? Because if you lay someone off, like, there’s some big Tesla layoffs like 2 days ago, you know, that hasn’t played out yet in their in their stock price. Right? So these are some of the biggest layoffs. So the 20 companies with the single biggest layoffs. So you have your biggest companies. Right? A lot of them that were just on this chart. Meta, Google, Microsoft, Amazon, Cisco, SAP.

Jordan Wilson [00:52:03]:
Right? IBM, we talked about them.

Jordan Wilson [00:52:06]:
So here’s some of

Jordan Wilson [00:52:08]:
the original research. I went and looked at, okay, for for these companies these public companies with the biggest layoffs, are they making more money now? You know, whether the the the layoff was 3 months ago or 18 months ago? Is this a direct correlation? Yes. Right? We have the 1 year stock price. So out of these 20 companies, 16 of

Jordan Wilson [00:52:31]:
them, their stock has gone up a

Jordan Wilson [00:52:34]:
lot of times significantly.

Jordan Wilson [00:52:37]:
Alright? So even the average there of

Jordan Wilson [00:52:40]:
of with with all these companies, 20 biggest companies, yes, 4 of them didn’t make more money, you know, over the

Jordan Wilson [00:52:46]:
past year. But an average 72% increase.

Jordan Wilson [00:52:53]:
Right? And then I have the other major indexes at the same time. You might be saying, okay. Well, that’s just all the stock market. No. Yeah. The S and P’s been crushing it up 23%. Dow Jones, 14%, Nasdaq, 8%. But here’s what this means.

Jordan Wilson [00:53:07]:
You lay off thousands of employees. You are

Jordan Wilson [00:53:11]:
rewarded. Wall Street hates employees. Sorry.

Jordan Wilson [00:53:17]:
You can’t argue with facts, did you? I didn’t cherry pick 2. I went through I’ve spent dozens of hours over the past year literally just getting information ready for this episode because I knew I’d be doing one like this again. There you go. The more people you lay off, the more you talk about AI, the more you implement AI, especially in big companies,

Jordan Wilson [00:53:42]:
the more money you make. It is not

Jordan Wilson [00:53:44]:
a coincidence that many of these companies that have, you know, that make up the top twenty layoffs in the past 18 months for US public companies, it is no coincidence that many of these companies in here have individually invested 1,000,000,000 or tens of 1,000,000,000 into AI, generative AI, large language models. It’s not a coincidence. Sorry, y’all. Alright. Let’s go back let’s go back and look at IBM. Right? One example, because they were the first. I believe they were the first major company that explicitly said they said it in August of 2023. They’re one of the first companies that explicitly said, yes.

Jordan Wilson [00:54:25]:
We are not hiring these 8, 8,000 roles because of AI. So a couple hours ago, they just released their quarterly earnings. Guess what? Q1 of 2023 Q1

Jordan Wilson [00:54:37]:
of 2024, Revenue was the same. How’s that work? If you decrease

Jordan Wilson [00:54:46]:
your your your your headcount by 1,000, and you say, oh, nope. These jobs are going to AI. You’re making the same amount of money, but look at the stock price. My gosh. 46% increase even though revenue is stagnant. Why? You cut headcount. You invest in AI. You talk about AI.

Jordan Wilson [00:55:09]:
You make more money. And what happens, these big public companies, they set the tone for everyone else. Right? That’s why I’ve I’ve always said I don’t know why. I’ve always said, like, hey. The end of 2024 is gonna be bad. Right? I do think that’s gonna be when the rest of the business world. Right? This is, you you know, some of the biggest companies. I’d say this is like Fortune 100 companies that have been, you know, working on this behind the scenes for the last, you know, maybe 2 years.

Jordan Wilson [00:55:30]:
This process of investing in AI, reducing, headcount, and implementing AI has been happening, but now the rest of the world is going to start following suit. And what does that mean? Jobs. I’m sorry. Yo. I don’t want this to happen more than probably anyone else wants this to happen, but these are facts. These are stats. These are trends. So you can either look at the writing on the wall and do something about it, or you can cover your eyes and say I’m special and the world’s not changing.

Jordan Wilson [00:56:06]:
It’s up to you. Alright. So the biggest companies are investing 100 of 1,000,000,000 of dollars in AI and

Jordan Wilson [00:56:14]:
laying off 100 of 1,000, which makes people uneasy about the future. So I’m gonna put my futurist hat on. Alright? This should

Jordan Wilson [00:56:23]:
be fun. And I know this has been a long episode. I’m gonna try to go a little quickly here to wrap things up. Let me put my futurist hat on because that’s what you care about.

Jordan Wilson [00:56:36]:
Right? Today is the worst that generative AI will ever be.

Jordan Wilson [00:56:44]:
So number 1, the real chat gpt moment hasn’t happened. So even, you know, NVIDIA CEO, you know, says generative AI was chat gpt. And people talk about the chat GPT moment. I’ll say this. The chat GPT moment of generative AI hasn’t happened yet. I do think GPT 5, whenever it is released, will blow away every other model. And just like the, kind of release of chat GPT did for generative AI, I do think the next iteration of GPT 5 will do that same thing for generative AI all over again and be much more impactful. That’s just what I think.

Jordan Wilson [00:57:21]:
That that that that part’s my personal opinion. Right? But presumably, this next version of of, you know, GPT, which, you know, OpenAI has been the leader in this space by far. You know, their old models are benchmark out benchmarking and outperforming, you know, models that have cost 1,000,000,000 of dollars from companies like, you know, Google, Amazon, Anthropic, etcetera. You know, OpenAI is still out punching its weight even though its model is very old. The next version is gonna be better at reasoning. It’s gonna be, you know, multimodal input and output. It’s it’s going to,

Jordan Wilson [00:57:52]:
act and behave in a way similar to a human. Right?

Jordan Wilson [00:57:56]:
Or you can talk to it. You can give it a photo. You can give it a video, and it can give you anything on the outside, right, or in the output. Agents. We haven’t really talked about agents. Agents are gonna be huge. Right? I don’t cover them because I say up until maybe 3 months ago, agents weren’t that good. Now they’re getting good.

Jordan Wilson [00:58:14]:
You know? And agents, if if if you’re new here, are essentially pieces of AI software that are literally built and you can, you know, train them and you essentially click around on the website and you say, here’s what I do, and then it does it for you. Performs all those tasks for you. K? $100,000,000,000 Stargate project between Microsoft and OpenAI investing in infrastructure. That’s huge. Right? So reportedly, OpenAI is working on agents, GPT. They have this huge $100,000,000,000 infrastructure project with Microsoft, to to create more compute. You know, reportedly, Sam Altman is looking to raise $7,000,000,000,000. So this OpenAI CEO is reportedly looking to, raise 70 sorry, $7,000,000,000,000 to create more compute to that powers all these generative AI systems.

Jordan Wilson [00:59:02]:
NVIDIA’s new chip. Right? The Blackwell, impressively powerful. They already have the most powerful GPU which powers all this generative AI. Right? So the future is I don’t think our big, quote unquote, generative AI moment has happened yet. Yeah. I don’t think it has. I think it’s gonna be happening real soon. Number 2 as we look in the future, programmable expert agents are coming quickly.

Jordan Wilson [00:59:29]:
Yeah. Agents. Here’s why.

Jordan Wilson [00:59:32]:
And I like to think

Jordan Wilson [00:59:33]:
of it as this. If if you’re an old school dork, you probably know RPA, robotic process automation. So I think of this as agents as RPA meets large language models meets subject matter experts, or in other words, a smart software that automates tasks on your computer across multiple platforms. Combine that with domain specific large language models, more powerful ones, and combine that with what I think has already been the big trend of 2024, which is tying in domain specific information into large language models. Right? Through things like RAG, you know, retrieval augmented generation or fine tuning models. Right? So it’s combining the best models out there with your company’s IP, with your company’s data. So combine that with essentially these agents, so, you know, RPA, and that’s that’s that’s another big thing we gotta keep an eye on. So OpenAI has reportedly been working on agents.

Jordan Wilson [01:00:33]:
Anthropic has announced agents. Google, just 2 weeks ago, announced agents in their Vertex a x Vertex AI agent builder. MetaLama, Meta’s Llama 3, agents just announced. Cognition Labs Devon, already in a limited release, getting pretty impressive results. Langchain, even though I don’t think Langchain was very useful when it first came out, it’s getting better. Agents, they have general release. DeepMind from Google working on agents. In other words, the biggest company with the most monies.

Jordan Wilson [01:01:06]:
You know, 2 years ago, it was the shift towards large language models. Now the shift is going to be

Jordan Wilson [01:01:11]:
toward agents. We’re gonna be talking about it a lot here on the Everyday AI Show.

Jordan Wilson [01:01:18]:
Number 3, what as we look forward in the future, your expertise becomes your AI. What that means is employees will be charged with collecting first party data and company data. Yeah. That’s gonna be a

Jordan Wilson [01:01:27]:
whole new sector. Companies, you you know, think

Jordan Wilson [01:01:30]:
of, like, you you know, l and d. I think l and d becomes LLM. It becomes collecting first party data. It becomes, you know, essentially unloading the smartest people, which this is like a bittersweet thing, but there’s, you know, there’s kind of like, quote unquote, side gigs out there, a lot of them, for domain specific, models that people are building in different fields. And they’re essentially just saying, hey. All you experts out there with 20 years of experience, come in, we’ll pay you, I don’t know, 50, $100, an an hour, and you essentially give us your brain. And we’re gonna put that brain as domain specific experience in our large language model. And then everyone in your category, well, we’re not gonna need as many of you anymore.

Jordan Wilson [01:02:12]:
Right? So I think employees at individual companies will be charged with doing this internally. I think this is gonna you know, you know, when we talk about current roles that don’t exist inside companies, I think that’s one of them. You’re gonna have huge teams of companies that are essentially taking your companies, your business’ IP, turning it into data, collecting the data, cleaning the data. AI agents are gonna help with that process, obviously. Right? You you know, just talked to someone on the show yesterday. They said they have 30 1,000 pages of their IP tied into their model. That’s what’s happening in 2024. And now all these tasks that used

Jordan Wilson [01:02:45]:
to take, oh, this used to take, 7 days. Now it can be done in 3 hours. K?

Jordan Wilson [01:02:53]:
Your expertise, your company’s expertise is going to become your AI. So we’re gonna be talking a lot about, you you know, RAG and fine tuning models, turning your company IP or your individual skill sets into data for a large language model. But I also think it’s gonna it’s it’s gonna come down

Jordan Wilson [01:03:09]:
to the individual level. Think of

Jordan Wilson [01:03:11]:
how much customization you can have, like, on the home screen of your smartphone. Now think, and I don’t know if this is 3 months or 3 years, That’s what it’s it’s gonna be like to work in the future. You’re gonna have a very customized version of many different domain specific, fine tuned LLM agents, generative AI softwares, all very specific for the type of work that you do.

Jordan Wilson [01:03:36]:
K? So we’re gonna wrap

Jordan Wilson [01:03:40]:
up here, y’all. Will AI take our jobs? Yes. Many, many of them. There’s no way around it. Follow the money. Follow the trends, follow the stats, follow the facts. And there’s no other conclusion that can be made Again, y’all, I need to re I I need to reemphasize this. I’m not rooting for AI to take jobs.

Jordan Wilson [01:04:05]:
I don’t want that to happen. That’s weird. It’s a world none of us know. It’s a world that

Jordan Wilson [01:04:08]:
none of us are probably comfortable living in. That’s the reality.

Jordan Wilson [01:04:14]:
So what do we do? It’s like, okay. Great, Jordan. I’m still listening an hour and 4 minutes into this podcast. Now I feel like crap. Thanks, man. Nope. It’s okay.

Jordan Wilson [01:04:26]:
Here’s what we should do. So how do you survive in an AI world? Well, don’t run from AI. Is

Jordan Wilson [01:04:33]:
it your enemy? Technically. Make it your friend. Keep your friends close and your enemies closer. We all need to learn how to coexist with AIs, maybe even AIs that are

Jordan Wilson [01:04:43]:
built and specifically trained to replace our role. You need to become comfortable working, using, getting the most out of it.

Jordan Wilson [01:04:52]:
Alright? I do think late 2024 is when the rest of the world, the rest of the business world is finally gonna catch on. Right? I showed you that chart of the top 20 companies and the biggest layoffs public the biggest layoffs in public companies here in the US over the last 18 months, 20 of them. And I looked at their stock. They’re all making more money now. Obviously, public companies know this and they’re saying, how can we follow this blueprint? This is gonna happen whether we like it or not. So one thing that Sam Altman, whatever your your thoughts are on, on him, he’s one of the smartest people in the world when it comes to AI. Right? There’s a handful of them. He’s one of them.

Jordan Wilson [01:05:32]:
He said for a year, one of his biggest concerns about, you know, the GPD technology or generative AI or large language models is disinformation and economic shock. The economic shock is coming. I think we’re gonna see some crazy ups and downs here in the US economy. And I do think that there’s going to be growing momentum around universal basic income. UBI. Right? Because job displacement is real. That’s not my opinion. I showed you guys the facts.

Jordan Wilson [01:05:59]:
You know, McKinsey Digital, 60 to 70%. The World Economic Forum, you know, up to 60% of, jobs in advanced economies, are going

Jordan Wilson [01:06:08]:
to be exposed. The 300,000,000 jobs globally figure. K?

Jordan Wilson [01:06:15]:
It’s happening. So how do we survive? We unlearn unlearn good behaviors. I know that’s weird. Right? A lot of people have this mentality in business, we need to keep doing things the way we’ve always done them because that has led to success. That will be to failure. Right? If your company has not fully gone on gone all in on AI, if you still have 1 foot in, 1 foot out, if you’re on the fence or maybe you haven’t dipped in at all, if you continue to do things the way you’ve always been done just because they’ve led to good results, you’re gonna go out of business.

Jordan Wilson [01:06:46]:
I don’t care. If you’re an 8 figure company, if you don’t adapt to generative AI, the 7 figure company, that small one maybe you’ve never heard of, they’re gonna squash you. They’re gonna

Jordan Wilson [01:06:59]:
be using it. They’re gonna be

Jordan Wilson [01:07:00]:
doing it the right way. They’re gonna squash you. K? Also,

Jordan Wilson [01:07:05]:
you need to know that knowledge workers and subject matter experts will have limited importance in the future. Alright? That’s what large language models with your company’s data are for.

Jordan Wilson [01:07:17]:
That’s weird. Right?

Jordan Wilson [01:07:21]:
Even myself. Right? I’ve companies pay me because, you know, for my digital strategy expert, my my marketing technology comps. It’s not gonna matter much anymore. Right?

Jordan Wilson [01:07:33]:
It’s not. Sorry.

Jordan Wilson [01:07:36]:
I’ve come to that realization. It’s hard. It’s not going to matter as much. I’m not saying, hey. Next year, your 30 years of experience in this field are are worthless. No. They’re not worthless. They will be worth less.

Jordan Wilson [01:07:49]:
They’ll still be valuable, but not as valuable because guess what? People who are just as smart as you are training models with all of that information. So that information, that domain specific expertise, those highly valuable skills of today are going to become less valuable tomorrow. Highly specific knowledge is going to become commoditized. You have to be okay with that if you want to succeed in an AI world. Alright? Here’s some hot takes. I think the rise of, you know, this kind of, like, gig economy that we’ve seen over the past decade, it’s gonna 10 x easily. Because what’s gonna happen is all of these displaced workers, something that people don’t talk about. Right? We talked about all these biggest companies.

Jordan Wilson [01:08:38]:
Right? Amazon, 36,000.

Jordan Wilson [01:08:40]:
Meta, 21,000 layoffs over the past year and a half. Google, 12,000. Microsoft, 11,000. Right? Guess what’s gonna happen. I’ve talked to even in

Jordan Wilson [01:08:51]:
the past couple of months, I’ve talked to about 5 or 6 people who work at some of the biggest companies in the world and they’ve talked about this. They say this is all off the record with them. I’m not naming them by names but they’re like, hey, my company, we’re creating AI. These jobs are gonna be different, so I’m starting my own thing. Right? So many people, I think, are gonna be starting their own thing. Right? Right now, if let’s just say you have a group of, you know, 20 friends in the room and you say, hey. How many of you have your own business or side hustle? I don’t know. Maybe 2 or 3, depending on, you know I mean, if you’re running in entrepreneurship circles, it’s probably more hands, but let’s just say on the average.

Jordan Wilson [01:09:23]:
I don’t know. Maybe 2 or 3 hands go up. I think in 5 years, it’s gonna be the majority of people. I don’t know how that’s gonna work with, you know, insurance and benefits and retirement. I don’t know. But I think that’s the reality. I think so many people are going to have, you know, multiple part time jobs, multiple side gigs. They’re gonna own multiple businesses because, hey, this is something Sam Altman said.

Jordan Wilson [01:09:45]:
He said, hey, I I can see a a single person business, you know, making 1,000,000 or 1,000,000,000 of dollars, and that’s actually a reality because generative AI completely rebuilds the playing field. We’re not saying it evens it. It rebuilds what it means to play in business and compete in business. I think we’re gonna see hyper targeted products and services. Right? To where instead of, you know, if if let’s just use movies as an example. Right? We talk about Soera and all these, you know, very powerful AI models in their videos. You know, instead of, you know, let’s just say, oh, 10 new movies coming out on, you know, Netflix this weekend and maybe 1 or 2 appeal to you. I think you’re gonna see 10,000, and they’re highly targeted, highly specific toward you.

Jordan Wilson [01:10:31]:
Right? You’re gonna see all these things like, wow. This looks like it was made just for me. Well, it’s because AI is gonna make it easier to do that. Also, I think one of the best things that we can do if if we are knowledge workers, right, if we’re getting paid for our experience to do something in front of a computer, is shift our mindset to not be domain specific skilled specialists, but to be adaptive AI generalists. Right? That’s what we need to be. I think of it like a language. Right? Let’s say you were studying a foreign language. Right? And you’re like, alright.

Jordan Wilson [01:11:04]:
I’m gonna learn Spanish, and I’m gonna go deep on Spanish, and I’m gonna be a Spanish expert. Let’s just say. Right? Instead, you need to learn the basics of 50 languages because that’s what I feel the future of jobs are going to look like. Right? And my you you know, my biggest background is kind of in marketing and communications. So you might have had, you know, a team of PR people, a team of, you know, internal comms people, a a team of in you know, internal creatives. I don’t think that’s how that’s gonna work anymore. You’re gonna have, you know, hey. Here’s your team of people, setting up your company’s data.

Jordan Wilson [01:11:37]:
Here’s the team of people deploying and building your agents. Here’s the group of people who are actually building the creative with help of the agents, but they need to know everything. You need to know the PR. You need to know the communications. You need to know the design. You need to know the UI, UX. You need to know a little bit of everything and understand how AI, how generative AI, how large language models, how agents impact all of those things. Again, for the human existence, we’ve all been trained and we’ve been rewarded to become experts and extremely skilled in one very specific field.

Jordan Wilson [01:12:11]:
I don’t see that working 3, 4, 10 years into the future. I don’t see that, at least not at the same level. There’s still gonna be experts. Absolutely. But think, all of these models are being trained specifically for that. If the smartest people in in marketing and technology and communication are getting paid to give their knowledge away to these companies that are raising 1,000,000,000 of dollars to essentially create agents or to create models that would do all the work of those skilled people. Is it as valuable to have those skills anymore? I don’t think so. So that’s what we need to do.

Jordan Wilson [01:12:45]:
And the most important thing, always be learning. Right? When we talk about AI and jobs, I just laid out a lot of facts, a lot of receipts, a lot of stats. You probably feel a little weird right now. I feel a little weird saying all of this, but this is the reality. And I know that this is the absolute worst, most generic, most cliche thing you can say, always be learning. What advice should what should we be doing? Right? It’s like, that’s lame. You just spent, you know, an hour plus laying out this this scenario that doesn’t feel great. How do we right? I I I gave you what I think you should be doing, but ultimately, what you need to be doing is you always need to be learning.

Jordan Wilson [01:13:32]:
Okay? Not just in your field, but how AI is impacting your field. That’s what you need to be spending your time on. Again, we’ve been rewarded for decades. Right? To keep learning in our specific field, you know, ongoing education and training in your specific field. Instead, you need to be looking at the applications for AI in your certain field. That’s what you need to be spending your time on. Always be learning AI in your field. Always be practicing AI in your field.

Jordan Wilson [01:14:04]:
Right? Because that’s the only thing that I know come next week that is still going to be valuable, timeless information. Always be learning about AI in your field. Always be practicing AI in your field. And if your company has not already implemented generative AI into your day to day workflow, you need if if if it’s you in charge, hit me up. We’ll help you. If it’s someone else you need to say, hey. Why aren’t we doing this yet? Right? So if if if you are that person charged with implementing generative AI in your organization and it hasn’t been yet, you need to push. You need to push.

Jordan Wilson [01:14:44]:
Because if you don’t, you’re gonna have a problem competing. Alright. So that’s it. That’s a wrap y’all. I know that’s a lot. Will AI take our jobs? Absolutely. Is the future a little clear and uncertain? Absolutely.

Jordan Wilson [01:15:01]:
But can you prepare? Yes.

Jordan Wilson [01:15:04]:
Do we all know what’s coming? No. But if you are always learning, if you are always practicing, you’re gonna be okay. And you know what? We’re gonna be doing that together. That is literally what we do here at Everyday AI. We bring on experts. I know we haven’t had a lot of guests over the last couple of weeks. I’ve been traveling, but we’re gonna have a great guest lineup, you know, next month and the month after. I’m excited.

Jordan Wilson [01:15:31]:
But you can be learning every single day here. You can be practicing every single day here. We’re gonna be launching a free community soon that’s gonna help that even more. So 1 year later, after 1 year of everyday AI, I think we set out what we wanted to do. We wanted to help everyday people, people who didn’t know what a neural network is, people who didn’t know what a decision tree is, people who who didn’t understand tokenization. We wanted to simplify things for you so you could feel more comfortable about growing your company and growing your career, and we are going to continue to do that.

Jordan Wilson [01:16:06]:
We’re not saying, alright. 1 year, we hit the finish line. Alright? Because in 1 year

Jordan Wilson [01:16:12]:
stick with me every day. Stick with me every day. Learn from different experts. Keep learning with us. Keep practicing with us. Because when I have this same show, April 25, 2025, will AI take our jobs? If you come and if you learn and if you practice every single day with us, you’re gonna be in a lot better position today than you or in in a year from now than you are today. Alright. So keep joining us.

Jordan Wilson [01:16:40]:
And also check out today’s newsletter. Yes. We are giving away not just meta these new meta AI Ray Bans, which I think are really, really cool, but we have some other things. And like I said, if this was helpful, I know this was a long post, but, hey, if if if this LinkedIn post gets to 10 repost, I have another thing, another giveaway that we’re gonna be doing. So all you need to do to enter this giveaway again, if you’re not already on our newsletter, you need to go to your everyday ai.com. I put the link. If you’re on the livestream, if if you’re listening on the podcast, the link is there to sign up as always. All you need to do to enter our giveaway is refer one friend to our newsletter.

Jordan Wilson [01:17:18]:
That’s it. So check today’s newsletter. You’re not gonna miss it. It’s gonna be big and in your face. All you gotta do is click a button. You can get this link, your own, you know, unique link, and share that with your friends. Put it on social media. Do you have a newsletter? Put it in your newsletter.

Jordan Wilson [01:17:33]:
So we’ll explain it more, but whoever refers the most people gets their choice of our different kind of prizes. Meta, the the Meta Ray Ban glasses are just one of them. There’s gonna be more. And if we get to 10 repost, I think there’ll be another really cool one. But also, there’s gonna be 3 total winners. So one is gonna be the person who wins the most, then we’re gonna have 2 random people. So minimum, all you have to do to be eligible is refer one friend. So make sure you read today’s newsletter.

Jordan Wilson [01:17:59]:
Grab that link. Share it with people. Also, I I do have something special, for every single person that refers at least one friend today. So this contest is going to run through Monday. So we’re you’re gonna have about 4 days. But anyone who refers at least one friend successfully refers one friend today, there’s something a little special for you too. Alright. So that’s it.

Jordan Wilson [01:18:24]:
I hope even though this was kind of a Debbie Downer episode, I hope this at least gives you a little bit of optimism. It gives you a little bit of hope. What we do here at Everyday AI, we’re not here to, you know, put out these, like, AI won’t take your job. Someone using AI will. No. We’re here to give you the truth. We’re here to bring you the facts. We’re here to bring you receipts, and we are here to learn and grow together.

Jordan Wilson [01:18:44]:
Thank you for joining us. We hope to see you back tomorrow and every day for more everyday AI. Thanks, y’all.