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Navigating the AI Wave: Key Insights for Business Leaders from 500 Episodes of Transformation
As businesses worldwide grapple with an ever-shifting technological landscape, AI's role in reshaping industries has become increasingly undeniable. Derived from a comprehensive analysis of 500 podcast episodes from Everyday AI, this article distills critical insights into how AI is influencing the future of work, employment paradigms, and the essential skills business leaders need to cultivate.
A Rapidly Changing Landscape
When the Everyday AI podcast began two years ago, the term 'generative AI' was an unfamiliar concept for many. Fast forward to today, and the landscape has changed dramatically. Enterprises now recognize the importance of generative AI plans, reflecting a universal shift towards integrating AI into daily operations. Generative AI is no longer a distant concept but an active component of strategic planning for major tech giants like Microsoft and Google, as well as a multitude of other enterprises.
The Future of Work: Unavoidable Integration
The discussions across these episodes highlight an essential truth: generative AI is the future of work. Its integration is inevitable, much like the internet's proliferation in the 1990s. AI’s capabilities in knowledge work surpass what humans can achieve on their own. Companies will find it increasingly difficult to avoid AI as its benefits in efficiency and accuracy become more evident.
Employment Models: A Shift Towards Flexibility
Generative AI's impact on employment is profound. The traditional full-time job model is under pressure as AI takes over knowledge-intensive tasks. This means a potential shift towards more freelance and consultancy-based roles, echoing the gig economy but within professional sectors. As AI enhances productivity, businesses might face decisions on whether to reduce work hours or restructure their workforce. Leaders must anticipate and prepare for these changes to navigate potential disruptions.
Disruptive Potential in Service Industries
AI is poised to transform service industries such as consulting, law, and finance. Tools like Google's enhanced deep research capabilities can outperform junior consultants, offering faster and more accurate outputs. Companies clinging to traditional business models may lose out to those that adapt and leverage AI, potentially leading to a new breed of consultancies that provide more competitive, AI-enhanced services at a fraction of the cost.
Redefining Human Skill and Value
For today's workforce, redefining personal skill sets is crucial. The role of humans is shifting from performing tasks to orchestrating AI capabilities. This requires a new mindset—moving from a sole reliance on personal expertise to becoming a tastemaker and curator alongside AI tools. Developing AI literacy and actively engaging in lifelong learning will be paramount.
A Competitive AI Landscape
The AI race has intensified, with companies like Google and Microsoft closing in on leaders like OpenAI. As these tech giants innovate rapidly, businesses must continuously assess the capabilities of AI models to ensure they leverage the best tools for their specific needs. This competitive environment requires companies to develop internal evaluation processes to remain agile and informed.
Active Engagement in AI Development
The future isn't just about AI automation but how humans engage with these technologies. Moving beyond the simplistic 'human in the loop' model to a more active 'expertise in the loop' approach can ensure that businesses harness AI responsibly and effectively. Expertise in AI orchestration can guide businesses through this transformation, ensuring ethical and effective deployment.
As AI continues to evolve, businesses are presented with unprecedented opportunities and challenges. By understanding these insights and embracing AI's transformative potential, leaders can position their organizations at the forefront of innovation and resilience.
Topics Covered in This Episode:
- Evolution of Generative AI Since Inception of Everyday AI
- Discussion on the Future of Work and AI's Impact on Employment
- Jordan Wilson's Background and Decision to Focus on Everyday AI
- Initial Skepticism and Early Use of GPT Technology
- The Shift From GPT Technology to ChatGPT
- The Integrations and Plans of Generative AI in Enterprises
- The Potential for AI to Reshape Traditional Employment Models
- AI's Influence on Service Industries and Consulting
- Role of Nontechnical People in AI Adoption
- Redefining Human Skill and Value with AI
- The Concept of Human in the Loop vs. Expertise in the Loop
- The Competitive Landscape of the AI Race
Episode Keywords:
Generative AI, Future of Work, AI impact on employment, AI in service industries, Redefining human skill, Human value, AI transformation, AI ethics, Nonprofit leadership, Accelerant Agency, GBT technology, ChatGPT, Large language models, Enterprise AI, AI capabilities, OpenAI, Microsoft Copilot, AI tools, Third party software, AI automation, AI research, Deep research, Multimodal generative AI, Artificial super intelligence, Agency, AI workflows, Autonomous agents, Agent orchestration, Business models, Consulting disruption, Legal industry, Financial services, AI-powered research, AI-driven
Podcast Transcript
Jordan Wilson [00:00:18]:
The generative AI world is barely recognizable from where it was when I started this everyday AI show more than two years ago. And as we celebrate our five hundredth episode. Wow. That's crazy. But yeah, as we celebrate our five hundredth episode, you all thought it would be a good idea to talk about, some of the top takeaways from everyday AI so far. So, I'm excited to share about that today and talk about some, you know, some of the, you know, future of work discussions, how AI is going to be impacting and is already impacting employment, how it's going to, change traditional service industries and even redefining our own human skill and value. So I'm excited today to talk about the top takeaways of everyday AI so far as we celebrate our five hundredth episode. Alright.
Jordan Wilson [00:01:18]:
What's going on y'all? My name is Jordan Wilson, and I'm the host of everyday AI. This is your daily livestream podcast and free daily newsletter helping us all not just learn AI, but how we can leverage generative AI to grow our companies and our careers. So is that what you're trying to do? If so, you're definitely in the right place. It starts here with our daily livestream and podcast, but how you actually leverage this and take advantage of all of this is by going actually to our website, youreverydayai.com. There, you can sign up for our free daily newsletter, where we not just recap, every day's, show, but keep you up to date with everything else happening in the world of generative AI, large language models, that day. So if you haven't already, you need to go, read our free daily newsletter. Speaking of our free daily newsletter, well, if you're looking for the daily news, it'll be in there. But in our newsletter, we asked you.
Jordan Wilson [00:02:15]:
Said, hey. What do you want to know? Right? We can do a lot of different things for a five hundredth episode. I asked you all, hey. Do you want former guests to interview me? Should the live stream audience just grill me? Do you wanna hear about some of my favorite episodes? But no. You all wanted by a far margin. You wanted to hear the top takeaways of everyday AI so far, which is kind of broad. So I just put together a lot of my different thoughts. But, you know, ultimately, this is about you all.
Jordan Wilson [00:02:44]:
Right? So first of all, yeah, maybe you don't know. Maybe you just listen on the podcast. Maybe, you know, you don't listen too much to the show at all. Maybe today is your first time. But what this thing ultimately is, it's for you all. Right? And I'm gonna get into that a little bit more, but I'd love to hear from you guys. I'd love to hear, you know, if you have questions, if you have thoughts, if you have comments, please get them in. You know, Jay, saying what a great milestone, 500 episodes.
Jordan Wilson [00:03:09]:
Congrats, Jordan. Thanks for all you do for us. This is our five hundredth episode. Happy, you know, I have a lot of stuff planned that I wanna talk about, but mainly, I do just wanna hear from you all. You know, if you do have questions whether about AI, obviously, you You know, if you wanna ask me something personally, sure. I'll try to answer as much as I can. Whatever you wanna know, but I do have some of my top takeaways, from 500 shows. Yeah.
Jordan Wilson [00:03:36]:
Hot spot for the win. We'll see about that, Douglas. We'll see if the hot spot can keep up with this. So, let's get going. Hey. Brian Felt says congrats on the 500. Thanks, Brian. Good lifelong college friend and and roommate right there.
Jordan Wilson [00:03:50]:
And Brian's got a great AI podcast now too. So, love to see it. All right. Let's get into it. Let's talk about our biggest takeaways. So, first it's unrecognizable, right? AI today is unrecognizable from where it was when I started, when I started the everyday AI show more than two years ago. Right at that time, you know, ChatGPT was out, but that was it. Right.
Jordan Wilson [00:04:20]:
For the most part. Yes, Chat GPT had just kind of gone viral and everyone was talking about it and everyone was using it and everyone was kind of confused, but that was really it. Right. So I believe I started this show. Oh, yeah. I'm looking at the, I think it was April. So yeah, just, just over two years ago. Generative AI was an afterthought, right? Like people weren't talking about it.
Jordan Wilson [00:04:44]:
It wasn't integrated into how we work. It's obviously completely different now. You can go into any enterprise, company and not, you know, and they don't have a generative AI plan. Every single, enterprise company has a generative AI plan. It's it's obviously evolving. Not everyone has it figured out. Right? Very few people actually do just because of the speed of developments, but it's completely different now. Right? You have obviously, you have every single, big player, in the game right now.
Jordan Wilson [00:05:19]:
But, you know, even before we get into that, I should probably start it where this started. Right? So yes, more than more than two years ago, I've maybe told the story once or twice, but not in a lot of depth. And maybe, if if I tell that story, maybe this will make sense and maybe this will, resonate a little bit more. So I was a writer. I was a journalist, right? In a former life. So I spent about seven years as a multimedia journalist. Then I spent almost a decade, nine and a half years, in nonprofit leadership, but we just really became an activation agency for Nike and Jordan brand. And then I started my own company, called Accelerant Agency.
Jordan Wilson [00:06:00]:
So, I remember very vividly, as soon as the GPT technology came out in late twenty twenty, so this was two years before CHAT GPT, I was using it every day. The day it came out, right, all these third parties, there is, I don't know, copy AI, Jasper, a bunch of other ones. The day these, pieces of software came out, I started using them heavily. And my agency, you know, all of our teams started using it as well. And, you know, at first, it was helpful, but then I learned the more I understand about the technology, the more I work with it, the more I learn how to apply it to the work that we were doing at the time. It wasn't just the more impactful it was, but I realized that, wait, you know, I've been getting paid to write for twenty years. I did okay in my early journalism days. I won a Pulitzer, fellowship, ACP story of the year.
Jordan Wilson [00:06:59]:
So I did okay, you know, in my early days as a journalist, but there was a point where I'm like, wait, this AI tool is better than me at writing. And that was weird. It was a hard kind of conversation to have with myself. But that really made me open my eyes to what generative AI is capable of. Right? And again, this is two years before Chattoport. So in that two years, I was using and trying every single generative AI tool that was out and I wanted to learn more. So try to gobble up all the information there was online about, you know, this GPT technology and there wasn't a lot. And, you know, we also had some early, early diffusion models, you know, on the image side.
Jordan Wilson [00:07:47]:
And I realized that any information out there, it was super technical. I didn't understand it. It was almost like showing up to a party that you weren't invited for. That's what it was like for me, you know, back in 2020, '20 '20 '1, trying to learn generative AI, and I'm like, this stinks. I I knew how transformative this technology was, but I couldn't find any good place, any good avenue to learn. So I said, okay. Well, I'm gonna start it eventually. Right? At the time, you know, at the time I was having one of my best months, one of my best seasons ever at Accelerant Agency.
Jordan Wilson [00:08:21]:
You know, we had a nice little team, good clients, you know, from from a business perspective, like when I had that epiphany, it was the best month I had ever done in my company. But at that point, I made a decision. I said, I have to slowly shut this thing down. It took longer than I would have wanted to in order to be able to do this everyday AI thing daily. Right? It took, like, year and a half to kind of wind things out. We had a lot of clients. Right? We signed very long term contracts with clients, sometimes twelve to eighteen months. So it took a long time to kind of quote, unquote wind, you you know, that business down so I could focus on everyday AI, and it actually started in the car.
Jordan Wilson [00:09:09]:
I've been thinking about it for a very long time, and I was actually driving to a friend's wedding, with with my wife and, one of my one of my good friends, Kenny, and I I told them about this idea. And, you know, so we kinda spitballed it on the way and, you know, I think both of them told me, you know, like, this sounds like a good idea, but are you sure about doing it every single day? And I don't know. I I I made that decision back then. And and and maybe you've come to this realization too that unless I was practicing every single day generative AI, unless I was learning about it, I felt like I was going to get left behind. Right. And, and, and don't get me wrong, even though I spend the majority of my days now doing that exact same thing, right? Like getting to talk with some brilliant people here at the, you know, Google Cloud Next conference and and learning from literally the smartest people in the world. But I still feel that way. Right? I still feel like, man, it's it's it's so hard to keep up with with what's possible now and how we work.
Jordan Wilson [00:10:12]:
So that's kind of how this thing started. If I'm being honest, I didn't think that the the podcast, would would turn into what it's turned into. Mainly I started podcast because I'm like, I'm a writer and I'm gonna write a daily newsletter. And, you know, I want exclusive content in the daily newsletter because there was, you know, a handful of good, you know, daily AI newsletters at the time, but they were all the exact same. I'm talking copy and paste. Right? They covered the same things. They talked about the same things. They it was formatted in the same way.
Jordan Wilson [00:10:46]:
I'm like, I wanna do something different. So in my newsletter, I wanna be able to talk to smart people. Right? Bringing in my old, you know, you know, journalism days, I guess. And in each day, I want to write like I used to. Right? For me, writing is important. I still write, you know, the leverage portion of the newsletter with these fat fingers, with with with my own two hands, you know, I don't hand it off to, Generative AI, which by the way, I was using em dashes way before Generative AI. Brian can probably attest to that. Right? Brian, tell him, use the em dashes way back in the daily Egyptian days.
Jordan Wilson [00:11:25]:
So I thought actually that the podcast was just gonna be, so I can create fresh daily content for the newsletter, but it was actually, you know, the podcast that, you know, got kinda popular, and not the newsletter, but that's okay. Right? You know, in business as with anything else, you have to be adaptable, you have to be flexible. So that's kind of the genesis of of everyday AI, and it's much different now. Right? Doing this every single day and being able to work with, literally the biggest companies in the world. You know, I'm very fortunate, and I hope that, you know, this journey over 500 episodes, you know, I hope I I I hope you found a little bit of value, here. Yeah. Yeah. Here we go.
Jordan Wilson [00:12:07]:
Okay. Brian Brian's, Brian saying this. He said, I distinctly remember Jordan telling me about Jasper AI six ish months before ChattGbt came out and telling me AI was the future. Looking back at it, it was a clear inflection point for me using AI tools on the regular as he was usual, as he was usually ahead of the curve. In this case, the AI. Boom. Boom. Yeah.
Jordan Wilson [00:12:29]:
Alright. Let's let's keep going. Let's talk a little bit about the future of work. And y'all, if if if you do have, questions, I'd love to tackle some of your questions, you know, kind of as we go along. I'm as I'm seeing some of them, I'm starring them. You you know, I'm gonna get to them, you you know, so thank yeah. Thank you for all the, congratulations, comment. But, yeah, if you have a question you want me to tackle, please let me know.
Jordan Wilson [00:12:54]:
It is, like, 05:45AM in where where am I? Vegas. I got nowhere to be. I got nowhere to be. Alright. But I'm not gonna keep this one going on for for too long. So let's just quickly talk about, you know, at like, when it comes to top takeaways of 500 episodes, I mean, the biggest one has to just be the future of work. I've been saying this for a long time. I didn't say this day one.
Jordan Wilson [00:13:17]:
Right? Because this was before every single, you know, big player was involved. So now, you know, Microsoft with their co pilots, amazing in all the updates that they just announced over the last two weeks. Google, obviously. Right? Meta pivoted from, you know, at the time they were, you know, social media company. Now I think most people know Meta as a an AI company. And and then you have every single even legacy, tech company has transformed in the last, you know, four to five years since the GBT technology kind of hit the scene. So, you know, everyone from, you know, IBM and Intel and Oracle and Dell and Salesforce, Adobe. Right? I just saw, you know, bank of America just invested $4,000,000,000 into their AI efforts.
Jordan Wilson [00:14:03]:
Right? So every single big enterprise tech company, everyone's turning into an AI company. So if, if you don't think yet that generative AI is the future of work, I mean, probably if you're listening or, you know, reading this, you probably know and you probably understand that, but that's the biggest takeaway is I I and, you know, I was having a conversation, with with someone at Google last night, about this very thing. I don't think that we're gonna have a choice soon to not use AI. Right? You'll have to kinda go out of your way soon. Right? Obviously, you know, the all the enterprise software that we use is being, you know, infiltrated in a good way with generative AI with large language models. Right? So if you're a Microsoft Windows organization, obviously, with Copilot, Apple is like, you know, thirty years behind, but I think eventually Apple intelligence will be able to do more than, you know, add two plus two, and and obviously, everything with with Google. Right? So most people, you know, you're either a Google or a Microsoft organization and and those two, companies have obviously been huge leaders in the space along with OpenAI, with NVIDIA, you know, really going from, a company no one had heard of. You know, if if it like, if you weren't a gamer, you didn't know what NVIDIA was, like, three or four months or or three or four years ago.
Jordan Wilson [00:15:28]:
Right now, NVIDIA, you know, depending on when you look, they're the biggest company in the world when it comes to market cap or, you know, at least a global superpower literally driving the the the the future of the economy. So generative AI is the future of work. So anyways, what I was saying in this conversation last night is I think it's gonna be very hard for us not to work with AI soon, because I think that even every day nontechnical people are starting to see the benefit of generative AI. You know, a funny story here, I'll I'll share another personal story. My wife, she's amazing. She she, you know, she she listens to, every single episode. You know, she's she's taken, like, you know, my my my prime prop polish course a lot of times, and, you know, she's trying to help me improve and all these things. And funny enough, right? Even though I talk about generative AI every single day, it was when I was at the Nvidia GTC conference, two weeks ago.
Jordan Wilson [00:16:31]:
And I came back and she had replaced her searching of of Google with now she's just talking with perplexity. Right? And, you know, I was joking about it, and I'm like, oh, you know, you you decided to, you you know, take the time when I was gone for a couple of days to start using generative AI in your day to day, but I'm starting to see this shift. The you know, another one of my good friends, his his fiancee, you know, same thing. She's like, hey. Now I'm using ChatChiggyT for everything, but she's not, you know, a technical person. I I am now seeing nontechnical people, you know, start using, this generative AI technology that I think a lot of us, you know, if if if you are a more avid, you know, maybe listener of this show or if you're, you know, someone that's using AI every single day, you know, I think we've been in this bubble sometimes, and I forget that. But now I think that the the average, even nontechnical person is starting to see huge value from using AI. Right? Not just in time savings, but in the quality of of of outputs.
Jordan Wilson [00:17:38]:
Right? So generative AI is the future of work, and it's going to be very hard in the future to do any work without using generative AI. Just like right now, it's pretty much impossible to complete any work of real business value without being connected to the Internet. Right? I think the same thing. And as we talk about, generative AI and, you know, models getting smaller, better, edge AI. Right? Like, you know, right now on this on this iPhone here, right? There's technically a a small language model because I have the the the newer iPhone, but I would assume in two years, two to three years, on the average smartphone, we are going to have a model that lives locally that is more powerful than today's state of the art model. Right? Yeah. It might not be Apple first. You know, you might have to have a Google phone, or something like that.
Jordan Wilson [00:18:34]:
But I do believe that we are gonna have in two to three years, a local model running on the average smartphone that is more powerful than a a a a GPT four o as an example. So even your personal life, your work life, you have to understand generative AI is the future of work. There's no way around it. And that's both good and bad because it changes how we work. And I'm gonna get to that a little bit later when I talk about agency and when I talk about human skills and human value. Yeah. You're like, you know, Monica here says, you know, looking forward to using agents at work one day. I think that one day, is coming for people, much quickly, than we all may realize.
Jordan Wilson [00:19:19]:
Alright. Let's get on to my next big point. Right? Because we talked about big tax all in pivot, right, which I've I've mentioned a couple of times on the show before, but this is the first time in US history when you look at, the economics of work. Right? And and and that's something I always do. You you know, yes, I know on this this podcast live stream, I I ramble and and and sometimes, you know, I seem a little, disorganized, but I promise you, I do a lot of research. Right? But I I I I don't know. I don't I don't want this show either to come off as, you know, overly prepared, because there's enough things out there, and those all sound robotic if I'm being honest. Right? So, anyways, I've talked about it once or twice on the show before, but, you you know, talking about this big techs all in pivot to everything AI, never in the history of The US have all six of the biggest companies when it comes to market cap been from the same industry until now.
Jordan Wilson [00:20:23]:
Right? It's always been, you you know, very, very diverse. You know, you have people in energy, you you know, your your mobiles. You have people in, commerce, you you know, your Walmarts of the world. Right? So if if if you go back and look over the last, you know, thirty, forty years at the biggest companies in The US by market cap, it's always been very diversified. It's not anymore. Right? Which, you know, there's downsides to that as well. But the big the six biggest companies in The US when it comes to market cap, they're all just now AI companies. Microsoft is an AI company.
Jordan Wilson [00:21:00]:
Google is an AI company. Amazon is an AI company. Nvidia is an AI company. Meta is an AIcom right? You get the picture. And they're the biggest companies in the world. And that's really impacting, not just employment, but also business models. Right? I I don't know how to say this. AI is gonna take a lot of jobs.
Jordan Wilson [00:21:25]:
Right? I've never been, one to beat around the bush. I've said since the very first episode of Everyday AI, which is a little bit it's it's it's it's a little cringe if you wanna go back and listen to it, but, I still think a lot of the first points that I made hold true today. AI is gonna take a lot of jobs. AI is going to have a net negative impact on traditional full time US employment. Alright. Let me say that again. AI will ultimately have a net negative impact on traditional full time US employment. Let me unwrap that.
Jordan Wilson [00:22:04]:
I think employment is going to change very much, because at least especially for the last, you know, since the the digital revolution, over the last, you know, thirty ish years, you know, we're now we sit in front of computers, right, since the since the nineties, You sit in front of computers, and you're paid for your knowledge. Right? You're paid to create business value. You sit in front of computer. You create new business value for a company with your knowledge. Right? That's what we do as knowledge workers. Knowledge work is going to completely change because guess what's more knowledgeable than all of us sitting in front of a computer? A large language model. Right? Go use, you know, Gemini 2.5. Go use, you know, OpenAI's o one pro.
Jordan Wilson [00:23:00]:
You could get and I don't I don't care who who argues on the contrary. Right? If if if you argue the flip side, that just makes you not smart. Right? To think that or to not understand that a single AI system is exponentially more intelligent than the world's smartest humans. Going back to my story, right? When I was using these tools and I'm like, they're a better writer than me. Everyone, if you haven't had that moment yet, you're gonna have that moment, right? Where, oh my gosh, this AI is better than me. And that's okay. Right? Like I think if, if, if you ask the same conversation, you know, ten years ago, Hey, are you smarter or is the collective information on the internet smarter? I think most people will say, well, the collective information on the internet. K.
Jordan Wilson [00:24:01]:
That's what large language models are. They are literally a collection of the best intelligence, hopefully, the best intelligence on the Internet. Yes. Large language models hallucinate. Yes. Large language models can go off the rack, off off the rails. Right? Humans can too. You know? It's always funny when, you you know, people look at these benchmarks and they're like, oh, well, you know, looks like it only got it right 93% of the time.
Jordan Wilson [00:24:29]:
So we need humans. It's like, okay, let's have a single human take that benchmark. Right? Let's have a single person a single human take the MMMU or the MMLU or the arc AGI test. The smartest human I know is gonna get about zero correct. So think about that. But let's talk a little bit about business models and how that's going to change. Well, I think traditional full time employment as we know it is, is gonna look very different, especially here in The US. It's gonna look different in other parts of the world.
Jordan Wilson [00:25:04]:
But here in The US where the majority of our, you know, listeners are from, think of it like this. You know how a lot of people now, you know, there's there's this gig economy. You know, you have people it's not it's not uncommon for someone, especially in a bigger city, I think, to be just be full time gig economy. Right? They're, you know, oh, I I do a little DoorDash. You know, I do some, some Uber, and then I do some TaskRabbit, maybe. I don't know. Right? It's not uncommon, especially in bigger cities. That's what's gonna happen with professional services.
Jordan Wilson [00:25:43]:
That's what's gonna happen with knowledge workers. I'm not saying that no one's gonna have a full time job in five years. It's not what I'm saying at all. But I'm saying it will be common to know professionally, educated people, people who have been in corporate America and leave, and then they just have essentially the equivalent, right of knowledge work based jobs. So think like, you know, kind of Fiverr slash Upwork, but think if there was, you know, for whatever your industry is, let's say you work in marketing in, the logistics industry. Okay. There's going to be like 50 different Uber ask, or, you know, or Fiverr ask or Upwork ask, services just for marketing in the logistics industry. Right? It's going to be very common in five years for the average American worker to have multiple jobs, to have multiple, you know, I think even businesses, multiple side hustles.
Jordan Wilson [00:26:45]:
Right? But, I really think we are going to see this reemergence of entrepreneurship. And unfortunately, I think that's going to follow mass layoffs. Right? We're already starting to see it because when you talk about AI's impact on employment and traditional business models, right, most enterprises, not all of them, there's still some, and I hope there's many, enterprises that when they see and fully realize the gains of generative AI, that they'll make good ethical decisions. Right? That's why AI ethics is good. That's why I've for literally a year and a half, when I tell people and when when companies hire me to consult, for them on AI implementation and strategy, I say, you need to go solve for the why and and solve for the what happens when. Right? What happens when you become 50% more productive? Right? Yes. You have to train your people, which no one wants to train their people. Everyone just wants to hand out easy buttons.
Jordan Wilson [00:27:45]:
That's not how generative AI works, but what happens if you roll out generative AI the correct way? What happens if you invest in training and, unlearning? That's what I say. We need to stop with this upskilling, reskilling. It's unlearning and relearning. That's what we need to do. But what happens if you're an organization of, 5,000 people and you go through that process and you see 50% gains? What happens when AI works? What are you gonna do? You're gonna go to four hour or sorry, four, four, four day work weeks, keep everyone on board? Are you just not going to hire new people or are you going to lay off 30% of your organization? I think unfortunately, a lot of especially public companies are going to do, the latter in that scenario. They're gonna lay off a lot of people. Well, number one, they're gonna stop hiring, especially as we get, this I think it's now is a good, good time or bad time depending on how you look at it. But this it's a convergence of all these things happening.
Jordan Wilson [00:28:47]:
Right? So we finally have large language models that are agentic. Right? They're able to, on their own, no code. Right? That's the thing people don't realize. And there's some announcements. I should have wrote down what time the, the embargo here at at Google, goes away. I think it's maybe still I'd be now. It might be thirty minutes, so I can't talk about it. But okay.
Jordan Wilson [00:29:11]:
Microsoft Copilot studio. If your organization has Microsoft Copilot set up correctly, even if you are not a technical person, you can go into Microsoft Copilot studio. You could probably spend an hour. It's it's no code, low code, and you could probably build an autonomous agent that does one of your most annoying manual tasks without any experience, you could probably get it doing 80% of that one task autonomously. Right? So when we talk about autonomous agents and how they're going and people are always a little bit confused and I get it. Right? Essentially, you have large you you like, you have generative AI or large language models. Right? I talk to chat GBT. Chat GBT gives me answers back.
Jordan Wilson [00:29:53]:
Then you have AI workflows. Right? Which is I talk to chat GBT. Chad GPT has access to all of my files and some tools, and then it comes back to me. Right? But I still have the agency. Right? And I'm choosing in that instance to to give decision making power temporarily to an AI agent. So that's not, or or sorry to, a large language model, but that's not an agent. So me talking to chat gbt, that's not an agent. Me talking to chat gbt that has access to my files, that's an AI workflow.
Jordan Wilson [00:30:23]:
That's not an agent. An agent is when it doesn't need me. I go in one time. I go to Microsoft Copilot Studio as an example. I set up an autonomous agent. It sets on a trigger. Anytime I receive this type of email, you know, people asking me for a quote, I don't do that anymore. Right? Like, it's gonna go through.
Jordan Wilson [00:30:41]:
It realizes, you know, yes. This is someone reaching out asking about a quote. It goes and looks at all your up, all your dynamic data, all your most up to date information, you know, across multiple parts of your organization, and then it goes back and it can reply to that e email automatically. That's agency. That's an agent. Right? That's when you set up the guardrails, in a large language model has tools, it has a defined role, and it goes out without you telling it to, without you handing or handing over that agency or asking it to be agentic, it's working on its own. And that's where we're at. And I I do think, unfortunately, once companies see and realize the game, gains of this this combination of agentic AI, number one, models that are much smarter and models that are reasoning, number two, and costs going down.
Jordan Wilson [00:31:31]:
Unfortunately, that means a lot of big companies are gonna be laying people off. But, ultimately, what I think that means is there's gonna be first. And I talked about this on the, on our 2025 AI roadmap prediction series. It's going to be a huge disruption in traditional service industries. Okay. Slow, expensive sectors are gonna be rocked. Okay. I'm talking about consulting, finance, legal, tech writing, accounting, CPAs, right? High priced, slow, expensive, service services.
Jordan Wilson [00:32:17]:
They're going to get crushed. Right? Check check-in the newsletter we're gonna be covering. I can't talk about this because they they they did release this information, before the embargo. Google just updated its deep research tool, to, Gemini 2.5 pro. Right? I think OpenAI's, Deep Research is one of the more impressive AI tools I've ever used. Google did update theirs, couple of weeks ago to Gemini two point o. Now that it's Gemini 2.5 pro, I've only used it very, because it just got released, like, last night and, been a little busy here at, at Google Cloud Next. That's gonna be extremely disruptive.
Jordan Wilson [00:33:02]:
I don't see if I'm being honest. Right? So let let me just give an example here. Let's say right now, there's a thousand consultancies in The U S I know that's not the right number. I know there's more, but, I'm I'm I'm here for easy math. It's it's still, 6AM here, local time. Okay. Let's say there's a thousand consultancies. I think half of them are going to persist with their traditional business models.
Jordan Wilson [00:33:31]:
Right? They're gonna keep charging an asinine price. They're gonna be saving a lot of time because these deep research tools, there's a reason why oh, when OpenAI launched their deep research, they partnered with Bain. Right? One of the biggest consulting firms in the world. And you go look at that little case study, and and it's like, oh, okay. Yeah. Like, you could see that deep research tool can do, the work of a junior, Probably better and exponentially faster. So what happens then? Are these consulting firms going to continue to charge the same amount they're charging? Right. If an AI tool can get 80% of the work done in 10% of the time.
Jordan Wilson [00:34:17]:
Okay. So I think half of them will. They'll continue to do business as normal, whether they are, outwardly communicating that they're using these new deep research tools, which is essentially a consultant, but better, faster, more accurate. Sorry to my friends in consulting. I already came to that realization myself. Chad GbT is a better, faster, writer than me. K? If If you're in the consulting industry, now OpenAI's deep research, Google's deep research, open, even, Microsoft announced theirs. Within a month or two, once they've worked out the kinks, it's gonna be better than most consultants.
Jordan Wilson [00:34:57]:
Okay. So out of those 1,000 consultancies, I see half of them continuing to go on with traditional methods. And I think that they're eventually by doing that, they're going to lose the top and bottom 20% of clients. Alright? Because the top 20%, they're gonna know and they're gonna have their own essentially internal consultancies spinning up and they're gonna be like, alright, we don't need to pay this big four company, 8 figures a year anymore. We're cutting that. And then they're gonna lose the bottom 20% of clients. Right? So those smaller businesses were normally hiring a big four is a huge expense and it's painful, but they feel they must. They're not gonna do it either.
Jordan Wilson [00:35:36]:
So these big consultancies, I think they're gonna lose the top 20%, the bottom of 20% of their clientele over the next two years, and that's gonna cause massive layoffs because they're gonna get crushed. Right? The other half, I think you're gonna do it the right way. They're gonna adjust their prices. They're gonna provide better, faster, and more accurate services. Right? You're not gonna have to go on a, a quarter long, 7 figure, endeavor with some of these consult big name consultant consulting companies anymore because they'll realize, okay, if we wanna stick around this in the long term, right? You're seeing all these stories now, the big, big four consulting companies aren't hiring as much anymore because I think they're starting to understand that this is a threat to their traditional way of doing business. Right? So what I think half of those so again, easy math, 500 are gonna have massive layoffs, 500 are gonna pivot and shift their business model. But for those that have massive layoffs, what's gonna happen is you have very smart people that are gonna be out of a job. What are they gonna do? They're gonna crush their competitor.
Jordan Wilson [00:36:45]:
They're gonna crush their previous employer. They're because they're gonna know, oh, wow. You know, we're using AI, and, you know, we're just, you know, pocketing the profit. Let's come in. Let's do the same thing. Let's go steal these clients, and let's charge them 10%. Let's charge them 10% of what that they were doing at the big four, the big eight, whatever. Right? And I'm I'm I'm not trying to call you guys out.
Jordan Wilson [00:37:11]:
I know we have listeners there, so, hopefully, y'all aren't mad at me for saying this, but this is the truth. You're gonna have consultancies spin up that are gonna be 10% of the price. It's gonna be the same people that were working there, and it's gonna be faster. It's gonna be better because they're gonna leverage AI, and they're gonna do what I like to call expertise in the loop. I think we need to stop talking about human in the loop. I just, had a great conversation with someone last night from Gartner, actually on the, the shuttle ride, back from the, the sphere, which which was a fun event. You you know, Google announced, you you know, they're kinda like remaking with AI with their, Veo tools and, or or or Veo tools and others. You know, they're kinda remaking the Wizard of Oz with AI, you know, to fit on the sphere big screen, which was, you know, pretty cool.
Jordan Wilson [00:37:57]:
So I was having a conversation with a a researcher from Gartner on the way back, about this about this very thing, and and and just, you know, how I think we're gonna see hundreds hundreds and and probably thousands of hyper niche consulting services. So now apply that same scenario applied across legal. Legal is going to get hit hard, financial services, you know, CPA accounting, etcetera. That's what's going to happen. We're, we're going to see a huge disruption in traditional service industries. All right. Yeah. Douglas saying consultants could be some of the $20, $20,000 a month, access to OpenAI service that had been referenced.
Jordan Wilson [00:38:47]:
Yep. That's a good point, Douglas. Yeah. There's there's always these rumors out that, you know, all these big, you know, tech tech companies are working on these versions of their models that are gonna cost thousands of dollars a month. So yeah. Maybe maybe there is something, much better. Obviously, OpenAI did, announce that we're gonna see an o three full. We're gonna see an o four mini soon, so I do assume that their deep research, their deep research tools are going to get updated because Google's, that they just announced, and looking at some, early benchmarks, it's extremely impressive.
Jordan Wilson [00:39:23]:
Yeah. Monica's saying, I already see on LinkedIn people leaving huge companies in high level positions to start their own businesses in their specialty. That's a great point. And, I'm not I'm not gonna name names. Right? But I've had many, many conversations. Many people reach out to me, and I'm like, hey, Jordan. I'm at a big company. Companies you all have heard of.
Jordan Wilson [00:39:43]:
Right? And they're like, I know I can go out and start my own thing. And that's gonna happen a lot. And that's why, you know, my kind of point number three, you know, kind of the, impact on future employment. I don't think traditional full time US employment is gonna look the same because of this very reason. Right? And I I don't think it's it's wild to think that people are gonna spin off and they're gonna have multiple. Right? They might have two or three of their own, businesses that they own and they provide services and then they might be, you know, kind of freelancing for five to 10 more. I think that's gonna be, it's gonna be very common. Just like I said, it's it's common for maybe your Uber driver, to also do TaskRabbit and to also do, I don't know.
Jordan Wilson [00:40:28]:
I I I forget, you know, DoorDash. Right? So it's it's very common for someone that's already in this gig industry to do two, three, four, five. And I think it's gonna be the same. Knowledge workers, you know, with with fifteen years of experience in corporate America, highly educated, you know, they're gonna be doing this exact same thing. Alright. Let's go to five. This one's tough, if I'm being honest. Again, these are, you you know, some of the the highlights of my first five hundred shows and, you know, it it goes without saying or maybe I should say it.
Jordan Wilson [00:41:02]:
You know, I've I've obviously got to speak with some of the smartest people in AI. So these aren't just my thoughts. Right? That's the fun thing about having a podcast. I can just say, I can open my email in, you know, any given week. I have a couple dozen, people pitching to come on the podcast, and I can be like, who do I wanna steal knowledge from today? Right? Who do I wanna like, I wanna get some secrets from someone, and I wanna share those, you know, AI secrets with everyone else. So, you know, I've been lucky enough to kind of steal some secrets and, you know, absorb that knowledge from people across all different industries, you know, huge, you know, tech trillionaire companies to start ups to, you know, medium innercise, enterprise businesses. But one of the biggest things that I see is redefining human skill and value. And that's going to be tough.
Jordan Wilson [00:41:50]:
Right? I think it's going to be especially tough if you are in like the 30 to 50 year old range right now. If you're younger, you know, maybe you grew up on the tail end of, of chat g p t or, you know, if you're still in college, I think it's, it's gonna be a little easier. You know, if you're more closer to retirement, I don't think this is gonna impact you as well. But, you know, for the most part, for thirty plus years, the way that business has worked here in The US, you get paid for what you know. Right? And then you have to be able to sit in front of a computer and you have to make your company more money based on what you know. It's not going to be like that. It's not going to be like that anymore. It's weird.
Jordan Wilson [00:42:36]:
Right? And the more smart people I talk to about this exact thing, sometimes the harder it is for me to even grasp it. Right? But I mean, let me just talk about even myself. Right? So so my skills right? So I've been working full time since, when I was 16 or 17. So more than twenty years, I've been working full time. And for the most part, you know, those have been in roles, like, you know, I was a writer, strategist, marketer, advertiser, etcetera. So let's just say, digital marketing, advertising, writing, etcetera. My skills don't matter there anymore. They don't.
Jordan Wilson [00:43:24]:
Matters in a different way. It's almost like I think that many of us are gonna become tastemakers in very niche ways. I don't know if that makes sense. But now as an example, even what I do. Right? Yes. I still sit down and, you know, I I I write my newsletter. But aside from that, for all those other things, I'm using AI. And so doing jobs that I used to do, right? Even even researching, I used to spend so much time researching.
Jordan Wilson [00:43:54]:
And, you know, as a former journalist, I really valued my, you know, my my my researching and analytical skills. I'm a tastemaker now. So what that means is I I I hand that job off. I give agency to go do that research, to go be that the the the creative strategist to multiple large language models. And then essentially, it's like, oh, I have them report back to me. I'm a I I am a curator and I am a tastemaker, in terms of my skills for things that I've been doing for twenty years. Right? So, hey, different AI models, go out and write this. Hey, different AI models, go put together a, a strategy plan on this.
Jordan Wilson [00:44:35]:
Hey, different AI models, I I I need new new advertising. Here's here's all the data. Here's our results. Go out and work. Go do this. And then they come back to me. I curate and it's almost like I taste make. Right? I'm like, okay.
Jordan Wilson [00:44:49]:
This is good. This is passing, this is passing the vibe check. This isn't. Right? So I think as we look at where our skills are, because here's the thing, that thing that you've been getting paid to do for ten years, in most cases, if you haven't already found the AI tool or the large language model that does it better, you will very soon. And a lot of times it's just going from, the piece to the system. Right? And that's, that's this phase of generative AI that we're in right now. Right? So from large language model going to AI workflow, going to agentic AI, going to multi agentic AI, right, with huge context windows with with rag, right, with up to date dynamic data. So I'm not saying your skills are useless.
Jordan Wilson [00:45:44]:
You're just going to be using them in a different way. Right? So hopefully that example where I used to physically go, right. Right? I still do that, but a lot of times for some things, AI is doing it. I'm still getting my input in on the front end. For the for like, for some things, I used to be the digital strategist. Not anymore. Right? I used to be the marketer. Not anymore.
Jordan Wilson [00:46:07]:
It looks a little different now. Right? Because unfortunately, the business world in The US, it's it's make more money in less time. Right? It's it's it's especially if you work at a public company. Sad. It's sad to think about. You know, we are we are a headcount. Companies will fire you tomorrow. Doesn't matter if you're a director of of blah blah blah or senior manager of important project.
Jordan Wilson [00:46:37]:
Doesn't matter. As soon as that that board, you know, and they're looking at the stock price and they're like, oh, look. When we use AI, this sector of our business is bringing in so much money and and this sector isn't. They don't care about it. They don't. Right? I'd hate to be that person. Unfortunately, in America, corporate greed is at an all time high. I did a show on that.
Jordan Wilson [00:47:01]:
It was actually very telling. Right? How much executives at these these large, you know, Fortune 500 companies make. And when they see, oh, when we can, you know, implement AI, multi agentic AI in in in this way, we can cut, you know, 20% of that department and still make more money. They're gonna do it. They don't care about you. They don't care about your experience. They don't care about your background. So that's why I think it's important that we start to redefine our not just human skills, but also our value.
Jordan Wilson [00:47:34]:
Right? And I kind of shared a little bit with you all about what that was like for me. It it was weird. It was weird when I saw all these different AI tools that could be a better writer than me, could be a better digital strategist than me, could be a better marketer than me, could be a better advertiser than me. It could be a better researcher than me. It's weird. You're going to run into that. Right. But hopefully you can hit it head on.
Jordan Wilson [00:48:03]:
Right. Because I think we do, you know, we've, we, we've kind of traditionally hung our, hung our, hung our hats on a job title. Right. It's like, you, you know, you meet someone new and they're like, Hey, I'm a marketing contractor. Oh, okay. Well, wasn't asking about that. Right. But people place so much of their identity in their job title.
Jordan Wilson [00:48:25]:
And I think that you have to be willing to pivot from that. Right? And and relook at what your human skills are and what your value is as a human. Right? There's there's great, you know, deep podcast on this, you know, you know, sometimes it's people that maybe, you know, like, okay, Bill Gates. Right? He's he's had some great podcast topics on this. Obviously, he's, you know, different than all of us, you know, but even him talking about, okay, well, what do we do in the future? What's human purpose? Right? When AI is, is more powerful, you know, maybe when we, you know, tiptoe toward this artificial general intelligence, artificial super intelligence. So I think you really have to, I love using the term unlearn. It's a term I, like, I think I coined it. I didn't hear anyone else talking about it.
Jordan Wilson [00:49:18]:
You know, people are talking about upskilling and reskilling, but I think for this, we have to redefine human skills, human values. So you need to, if you haven't already develop AI literacy, that's why I do this every day. You can join me for, you know, I know sometimes these podcasts go a little longer. This is my 500 show y'all. I'm not gonna make this a twenty minute one. But you need to practice it every day. You need to learn, because ultimately, I think what a lot of us are are doing instead of sitting in front of a computer, creating business value with our fingers and with our brains, I mean, we're still gonna be doing that, but AI and agentic AI is gonna be doing the heavy lifting. Alright.
Jordan Wilson [00:50:08]:
Number six. I got two more y'all. Two or three more. Human in the loop. I already talked about this, but, you you you know, I really think active human engagement in AI orchestration is going to be big. I really wanna control alt delete, command a delete every time someone talks about human in the loop. I think it's dangerous, right, when we don't really explore what that means. Right? And, you know, maybe maybe you're you're new to AI, maybe you're tuning in for, you know, the first or second time.
Jordan Wilson [00:50:43]:
You're like, okay. What's human in the loop? Right? You know, this is one of those, like, blanket terms people say to kind of, you know, give everyone ease. It's like, oh, well, is it weird to, you know, be handing all this out to large language models and, you know, agentic AI? And they're like, don't worry. Human in the loop. Right? That's gonna keep us safe. No. It's not. You know, because I think human in the loop, it's it's a problem because number one, you have thousands of companies promoting, you know, agentic AI is the best thing since sliced bread.
Jordan Wilson [00:51:20]:
Also, with sliced bread, like, that big of a deal, sometimes I just love getting a hunk of French bread and just biting into it. I don't need to slice it. Anyways, you know, everyone's like, oh, agentic AI agentic AI. Right? So, as business leaders, you know, making decisions on, you know, what what tools and and models your company should be using, all you're seeing is agentic AI and you're like, no. We're human in the loop. You're safe. Guardrails, your data, you you know, you, ethics, human in the loop, human in the loop. Right? What's that mean? To me, I don't think, you know, these these thousands of companies trying to push us agentic software necessarily care about human in the loop.
Jordan Wilson [00:51:59]:
Right? It's it's it's more of like a, you know, it's a warm blanket on a cold day. It's not fixing anything. It's just making you feel better about the exterior, situation. I I really think we need to pivot to talking just like we shouldn't be talking about upskilling and reskilling. We need to talk about unlearning. That's what you have to do. We also need to talk about expertise in the loop, human in the loop. I think people are looking at it as passive.
Jordan Wilson [00:52:26]:
It's like, okay. Yeah. I'm going to read the prompts. Let me check-in on the agents. Good job agents. All right. I'm going to sit here and sip my coffee. I'm the human in the loop.
Jordan Wilson [00:52:35]:
Right? I'm gonna say I'm I'm on an assembly line, you know, making sure the assembly line doesn't break. That's not it expertise in the loop. Right? Organizations need to be sticking the right expertise in this in this, you you know, agentic AI loop. And, you you know, I talked a little bit, you know, about AI orchestration. So if you're interested in that, you know, go back and listen to our 2025 AI roadmap series where, you you know, I did have, some dedicated things on, agent orchestration, but, you know, I don't think that's gonna happen this year, completely. I do think that we're gonna see, you know, roles being created at large companies. I've already seen it, where someone's role is essentially an agent orchestrator. Right? And they're essentially overseeing, agentic systems.
Jordan Wilson [00:53:24]:
But we need expertise in the loop, because as we hand off more and more agency, that's what we're going through right now in 2025. And that's one of the biggest takeaway over 500 shows is we're giving more and more agency. Chat you know, this generative AI wave started as, like, oh, this little program, this AI chatbot is fun. Right? And now we're at the point where organizations are trying to offload as much of their manual knowledge human work as possible. So it's different now. We need to be intentional about sticking expertise in the loop, and that's not just someone who's, you know, a great prompt engineer or a technical person. It's security. Make sure you stick your expertise in that loop.
Jordan Wilson [00:54:11]:
Right? Don't let the, you know, one person don't let a generalist oversee, a multi agentic AI, operation. Right? You need multiple people. So I do think that's another way how our human engagement in our roles are gonna change as we are gonna have expertise in the same way. Right? Like, oh, you have your people. They they they check-in on your CRM. You know, you have your project managers. They're checking in the projects. I think those, they're all just gonna shift now.
Jordan Wilson [00:54:38]:
Right? You're gonna have these agentic loops, performing a lot of these manual knowledge based tasks, that are hopefully, fine tuned on your data, but that's what it's gonna turn into. Alright. Two more quick ones, and I'm gonna get to your questions. If you do have anything, any questions, please please let me know. Some of these comments are making making me laugh y'all. This is funny. Alright. Number seven, the AI race.
Jordan Wilson [00:55:04]:
It's exciting. Right? It's one of the top top takeaways. You all wanted the top takeaways. The AI race is exciting. Right? I'm a Chicago guy. You know, growing up, watching the nineties bulls was an unworldly experience. Right? No one, no one could compete with the nineties bulls. Right? You know, the two, three Pete's, you know, MJ, Scottie Pippen, Dennis Rodman, no one no one could compete when that group was together.
Jordan Wilson [00:55:39]:
You know, I know that they kinda swapped out characters there, between the two different three Petes. No one could compete with them. You know, couple months ago, I would have said that's, that's how the AI race is going. You know, maybe, I don't know, maybe like, October, I would have said open AI is they're the nineties bulls, right? They're running away with this. No one can touch them. Google and Microsoft have made things very interesting. Very interesting. Right? I'm fine.
Jordan Wilson [00:56:14]:
I'm fine saying this. I'm literally partnering with Google. I'm at Google cloud next a year and a half ago. I told people don't use Google Gemini. No, don't That started to change, you know, in, in quarter, quarter '3 and '4 last year. I, I, I think, Google made some, some great, some great hires. They made some great restructuring. I think bringing Gemini under DeepMind, was, was probably a good call.
Jordan Wilson [00:56:46]:
And now Google's right up there using Gemini 2.5 pro. It's such a weird experience, right? As someone that uses large language models way too much, it is baffling how powerful that new model is, from Google and then Microsoft as well. Microsoft has slid under the radar. I don't know how, with a lot of their recent, co pilot announcements, right? Last Friday at their, you know, fiftieth anniversary, celebration, they just announced like seven, like, like, essentially, I called it, like, a greatest hits. They like, I don't know if this is what happened internally. Right? But they saw all these other, you know, popular AI modes, and they're like, yeah. Let's just go ahead and release that for Copilot. Right? Oh, like notebook l m.
Jordan Wilson [00:57:39]:
Right? We can put all your information, and it's gonna create you a customized podcast. Yeah. We're gonna do that for Copilot. Oh, deep research. Yeah. We're gonna release that. Right? Microsoft went a little bonkers. We're gonna get a lot a lot more announcements, today, at at Google Cloud as well.
Jordan Wilson [00:57:54]:
But what I'm saying is, like, the AI race, it's actually a race now. Whereas, you know, like I said, maybe maybe nine months ago, you know, so for the better part of eighteen months, it was just the Bulls dynasty. No one could touch them. It was not close. It's close now. Right? Which actually makes it a little more difficult, I think, for all of us, for, for, for business users. Right? I talk sometimes about you need to choose your AI operating system. That choice was a lot easier nine months ago.
Jordan Wilson [00:58:28]:
Sometimes you might have to use multiple, but it is extremely competitive, which I think is is, both, exciting and also frightening. Right. Because now, you know, the race toward right. You like, you have a lot of these companies now openly working toward artificial super intelligence. Right. And that can be scary. And I I'd like, I get that. Right? So, you know, I guess if Microsoft and Google hadn't quote unquote caught up to OpenAI, you know, as business leaders, it could have made the AI adoption and the AI transformation journey, a little less stressful.
Jordan Wilson [00:59:15]:
Right? But now both fortunately and unfortunately, you know, I think we have three major players, that are on that like first tier. And I think now you have to constantly be evaluating the quality of these models for your domain. Right. So I think it's always a good start to look at the kind of, like, quote, unquote scientific benchmarks, right, to look at the, you know, MMLU and the MMM, MMU, the the the diamond, all those things, and then the human preference as well. So the ELO scores, you know, on the LM chatbot arena. But I think also companies, if you haven't already, you need to start developing your own domain specific, company specific evals. Right? So it could be as simple as, you know, a hundred different, you know, quote, unquote, prompts or, you know, a hundred different, tasks. Right? And, you you know, as we talk about, you know, what happens when you start, you know, gaining, gaining time back.
Jordan Wilson [01:00:16]:
Well, this is what you need. You need, a a an eval's team, and they and this is gonna be one of your busiest teams in your organization. They need to be constantly manually running those, you know, 100, you know, tests, those 100, use cases through these models on a weekly basis and doing your own quote, unquote internal e valves. Right? Because the large language models themselves are becoming commoditized. Right? You can, you know, there's systems pretty easily. You know, if you're working on the API side, you can swap a model out fairly easily. So you have to understand, what all the major players are doing. You have to know how to evaluate them all internally, in order, to keep up.
Jordan Wilson [01:01:03]:
Alright. I'm gonna tackle a couple of these, questions. So so thanks for getting them in, and I have one more thing to wrap up. I'm gonna end on a personal note, if that's okay with you guys. So Melissa says, what's the most impressive or game changing AI development you've experienced to date? Melissa, that's a tough question. You know, I've talked about this. I I never had the chat g b t moment. When chat g b t came out, I was like, meh.
Jordan Wilson [01:01:31]:
You know, I think at the time, their g b t technology was being better used and better utilized by third party people. So chat g b t, that wasn't it for me. If I'm being honest, I would say notebook l m was probably one of them. I'm still astonished at the, at at the team that put that together. I'll also say OpenAI's, Deep Research, you know, which now might be Google's, you know, I'll have to see. I would say those are probably some of the most impressive. But again, I don't press easily, I guess. Also, g p t four o ImageGen, you know, that just came out very impressive.
Jordan Wilson [01:02:10]:
Jackie is asking, have you switched to Android? Not yet. I don't like, Jackie, you you you probably know I can't text. You know, if if if if any of you guys ever, like, text me or or, you know, DM me, I can't do anything on my phone. So that's one one reason why I'm still on a Mac is just so I can text people on my computer a little faster. Brian. Brian. Thank man. Brian's been showing up for, like, two years.
Jordan Wilson [01:02:33]:
You're awesome. Brian's asking, what are you most excited about from an AI perspective over the next six months? Oh, gosh. That's a good question. I'm most excited about nontechnical people finally discovering what the rest of us have been doing for the past, you know, year or two. That's honestly what I'm most excited for because then it makes education a little bit easier. Right? Companies hire us a lot to to train their employees. And, you know, whether it's a a dozen or hundreds. And it's difficult.
Jordan Wilson [01:03:14]:
It's difficult to go train someone on generative AI. Right? When I go into a a room with a hundred people and, you know, a third of them use generative AI for three hours a day and, a third of them have never done it. So I'm person like, maybe that's a cop out. I'm personally excited for people that haven't used generative AI, to start using it and to start, discovering it because what that happens is, you know, it's like, oh, it raises the tide for all ships. Right? It does. And I think, you know, so many organizations, have been limited on the the the top side just because, you you know, it's like such a high percentage of their organization doesn't know what generative AI is. They don't know how it works. Another good question here.
Jordan Wilson [01:04:00]:
Any suggestions on how to get late adapters to embrace and see the value of gen AI? I think a lot of it, you know, I, I, I, I, I kind of gave the example, of my wife. Right. I'm always telling her like, oh, you know, Hey, this, this, this, and, you, you know, bless her for like, still, you know, listening to me, you know, two years later, talk about AI, but for her, I think she needed AI in her personal life. Right? I think, you know, it's like quite literally hands full, you know, talk to perplexity and she's like, oh, wow. You know? And now I think, you know, you know, I don't wanna speak for her, but I think maybe she'll think a little bit differently. And I think this is just more in general. When people find value of AI personally and, you know, give them a couple of months, then it's just gonna change their brain. Right? It is this unlearning process.
Jordan Wilson [01:05:03]:
You know, so I think that for late adapters, right, it's not like, alright, let's sit down in Microsoft Copilot studio and we're gonna no code your job away. No. It's like, hey. Oh, what's that? You have three kids, and it's hard to get a meal schedule because, you know, one is allergic to peanuts, one only eats peanut butter, and, you you know, the other one hasn't touched a vegetable and, you you know, okay. Use chat GBT to meal plan. Right? Like, talk to it. Right? So I think when when business leaders, who are, still not using generative AI, you can't continue to fight the battle on the same battlefield. Right? They need to get it at home.
Jordan Wilson [01:05:47]:
And I think that's what we're starting to see a lot in 2025, you you know, strangely strangely enough. Alright. Let me just double check. Any more questions before I I I wrap this thing, wrap this thing up? Alright. Good good one here from Centimeters on YouTube saying, how will the new economies work in practice? If white collar workers don't have jobs, how will they pay for the people who do the manual work? I'm trying to imagine how the new systems will work. Yeah. I don't know. This is why, you know, a lot of there's, and I did say this in my 2025 AI prediction and roadmap series.
Jordan Wilson [01:06:21]:
I I do think UBI, I don't think it's gonna happen, universal basic income, but I think it's gonna actually be, a common discussion now. Right? Especially with how The US economy is, headed right now. So I don't know. What I will say to this question is I think, like I said, I think full time nine to five employment in ten years is is gonna be is gonna look a little antiquated. Right? And when I said that the first time, like, a year and a half ago, I think people thought I was weird. And then the LinkedIn CEO, said something similar and now people are like, oh, okay. Yeah. That that adds up.
Jordan Wilson [01:07:03]:
Right? You know, saying, hey, traditional nine to five. It's not gonna work in the future of AI. This is not. It's not going away. Right? But I do think a lot of people, you know, are going to have multiple, side hustles. They're gonna have multiple companies. They're gonna have multiple freelancing opportunities. Right? I I do think that's how it works.
Jordan Wilson [01:07:23]:
Right? I obviously, there's still gonna be, you know I think the majority of of of of US workers are still going to have nine to five jobs, but not by a lot. Right? Now it's like, okay. I look around at everyone I know. It's like, okay. 90, you know, 99% of everyone, is either a full time worker or, you know, you know, raising kids and their spouse is is a a full time worker. I don't think it's gonna be like that in five years, you know. Maybe it's gonna be 60%. Maybe it's gonna be a 70%.
Jordan Wilson [01:07:55]:
I don't know. But, you know, it is it is hard to tell. Alright. Let me wrap this thing up here. I just wanna to end by talking a little bit personally. If I'm being honest, I started this show a little selfishly. You know, I kinda started it almost for myself. You know, I I I did not envision it would become this, you know, this time intensive.
Jordan Wilson [01:08:26]:
Right? Maybe I should have listened to, my wife and my friend on that drive that one day when they're like, are you sure you wanna do this every day? Right? But for me, and at least where where my skill sets were, I knew my skill set, for some for us to know. Right? Writing and marketing and and advertising and, you you you know, some of those things. I'm like, this is low hanging fruit. Even though at the time, my agency had the the best month we had ever had, I'm like, this isn't gonna stick around for too long. Right? We weren't a, you know, a multimillion dollar, you know, organization with hundreds of employees. You know? We're small. I did not envision that everyday AI would would turn into what it's turned into. But I selfishly, I did start it for me, but I started it probably for you.
Jordan Wilson [01:09:17]:
Right? Because I was able to go through that process in 2020, '20 '20 '1 of, of learning AI. And I'm like, this sucks. This is hard. And I'm like, this is my background. Right? I was a journalist. I interview people. I talk to people, I tell stories. Right.
Jordan Wilson [01:09:35]:
And I've been in, you know, different, you know, MarTech comms roles for twenty years. I'm like from 2020 to 2022, I feel I at least figured it out. Right? I got from a zero to a five. So I wanted to selfishly get from a five to a six, five to a seven. So I'm like, alright, Let me start this everyday AI thing. You know, maybe it'll fail. Maybe it'll go for, you know, two months and no one will care and I'll stop. I'm glad I didn't because here we are 500 episodes later, you know, partnering with Google.
Jordan Wilson [01:10:06]:
I've had partnerships with, Microsoft and NVIDIA and, Adobe, some of the biggest brands in the world. So I'm very, very lucky and and fortunate, and feel blessed and and, a big sense of gratitude to you all, for for tuning in. Like, who like, how the heck are there still, you know, all all of you people I'm rambling, you know, it's I'm an hour ten in, so thank you all. But I also did start this for you. Right? There's a reason why, you know, our domain is your everyday AI. I mean, number one, everyday a I dot com was not available when I started this thing, but I do want this to be yours. Right? So as I look at the future, like, will we have another 500 episodes? I don't know. I don't know.
Jordan Wilson [01:10:51]:
Maybe, maybe not. Right? I'm a human. I'm tired. Personally, I am tired. I am exhausted. This is hard. This is hard work. Yeah, this is hard work.
Jordan Wilson [01:11:08]:
I don't sleep a lot. I miss out on a lot, which man, like, bless up. Like, my wife, she's amazing. So if, if, if you've benefited from everyday AI, say, say thanks, Jordan's wife. I'm lucky. I get to show up, you know, you know, click click go live at 07:30AM central, and hopefully, it helps you. And I know it has because I've literally heard from hundreds of you, that have left testimonials and, you you know, I read them all and and hear those stories, but it's, you know, personally, this is a lot for, it's it's been a lot for me to take on. And I I feel sometimes, I fall short, but I think that's reflective of probably how everyone feels about AI.
Jordan Wilson [01:12:04]:
Right? Because it's like, hey. No matter how much I try, it feels like I'm always falling behind. It feels like, you know, oh, as soon as I got this, this AI implementation going in my department, it it it seems antiquated now. Right? There's all these new things, and it's hard. Right? Succeeding in today's business with the pace of AI is difficult. So, you know, I just personally I wanted to thank you all. My I mean, my like, in my wife. I mean, she's amazing.
Jordan Wilson [01:12:37]:
Like, what she's able to do behind the scenes to, because let's be honest. I I intentionally knew I wasn't gonna make a dime off this thing in the first year, and I could've. Right? There's a lot of people, you know, as as the show started to grow a little and they reached out and, you know, they're like, oh, you know, I wanna, you know, pay you and I'll give you money and I'm gonna put my product on your podcast. And I'm like, no. Your product stinks. Right? So it it was very hard for me to not make a dime. Right? Not make a dime from this endeavor. Yes.
Jordan Wilson [01:13:11]:
I still have my other business. We still have clients, but I spend the majority of my time on everyday AI. And I had so many opportunities, you know, to to to monetize this thing. So maybe I could sleep a little more. Right. Maybe I could be a little more present in my personal life. But I didn't want essentially right? Even it's it's hard to say no to money when you start starting something. Right? I didn't want to to bring on, you know, advertisers and, you know, for you all, if if I've gained your trust.
Jordan Wilson [01:13:41]:
I didn't want you to start using these things and then it's like, okay. Six months later, they're gone. Okay, Jordan. Why did you why did you, you know, bring this little AI startup and, you know, I I trusted you and, you know, I got my company on board and now this thing went under. Right? So it's been extremely hard to do this 500 straight Monday through Fridays. Right? So first of all, I wanted to thank you all, your your your words of encouragement, you know, sticking with these rambling, podcast. But, you know, I I hope they're helpful in some regards. Like I said, I I I feel so much, information now about AI, just information in general.
Jordan Wilson [01:14:22]:
It's it's it's robotic. Right? Everyone uses the same formula. It's copy and paste. That's not me. I'm real. I want to be able to tell you when something's good, when something's bad, when something's hard, when something's easy. And this hasn't been, you know, 500 episodes hasn't been easy, but it's been worth it. So, you know, I I do wanna thank, you know, all of you, you know, our our partners, you know, at places like Google, Microsoft, you know, Adobe, Nvidia, you know, that's obviously been helpful to work with big brands.
Jordan Wilson [01:14:58]:
You know, all of you that have supported me. You know, sometimes it's just like one little comment. You know? I'll I have a bad show and, you know, at the bottom, I'll say someone's you know, someone that I've never seen before. Right? They're like, you know, I've been listening for, you know, a year and a half, and and this show was so helpful. Right? Because sometimes I'm like, man, you know, I I put in eight hours of prep for this one show, and I bombed it, and, you know, and and and it sucks. Right? And then someone's like, hey. I got tons of value out of this. And I went back to my company, and we were very uncertain in this area, and now we're certain.
Jordan Wilson [01:15:31]:
So thank you for that. I don't know. What do you guys want for the next 500 episodes? I'm not getting any younger. You know, I wouldn't encourage everyone go back and, you know, screenshot maybe me from, from two years ago. I've probably aged like twenty years. It's been fun. It's been an adventure. My, my, my, so my top takeaway, I'm grateful for you all.
Jordan Wilson [01:15:56]:
I'm grateful, to my wife, to, you know, everyone who's shown support out there at all. So, thank you for tuning in to 500 episodes. If you haven't already, please go to your everyday a I Com. I don't know how I'm gonna wrap this one up, but I'm gonna do it anyways, in our daily newsletter. So, thank you all for all of your support for Everyday AI. I hope to see you back tomorrow and everyday for more Everyday AI. Thanks, y'all.
Midroll [01:16:25]:
And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit youreverydayAI.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers, and we'll see you next time.