Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 634: AI Hype Is Over. Here’s What Your Business Should Do Next (Replay)

Episode Date: October 17, 2025

AI hype is well over.🥱Using AI is no longer a competitive edg y'all. it’s as basic as having internet access.(You wouldn't put that on your marketing materials, would ya?) If your business is still treating AI as something special, or stuck trying to look innovative just by using it, this episode is for you.Find out what actually matters now and the steps your company should ACTUALLY take next.Don’t miss it.AI Hype Is Over—Here’s What Your Business Should Do Next (Replay)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Companies’ Outdated View of AI as a DifferentiatorAI as Baseline Technology, Like the Internet“AI vs. Internet” Test for Strategy ValiditySuperficial Use of “AI Powered” in MarketingWidespread, Unconscious AI Use by Employees and CustomersUniversal Expectation for Companies to Be AI NativeTech Sector Layoffs and Productivity Tied to AI AdoptionAgile Startups Threatening Slow AI AdoptersIntegration of AI Seamlessly into Web Tools (Google, Bing)Major Providers Offering Free AI ToolsAI’s Pervasiveness in Fortune 500 and Customer ExpectationsAI Improving and Compressing Business CommunicationsEarly AI Adopters’ Profit vs. Late Adopters’ Missed ROINecessity to Treat AI as Infrastructure, Not InnovationRecommendations: Employee Training, Custom Use Cases, First-Party DataWarning Against Superficial AI IntegrationUrgent Need for Process Reengineering for True AI AdvantageTimestamps:00:00 "Hot Take: AI Overhyped as Innovation"06:22 "Test Exposes Weak AI Strategies"07:41 AI: The Corporate Quick Fix13:16 AI Layoffs Drive New Competitors14:25 AI Strategy: A Competitive Imperative20:57 Embrace AI or Fall Behind22:55 AI's Growing Independence from Middlemen28:23 "Train Everyone in AI Basics"31:11 Capturing Institutional Knowledge34:50 AI Strategy: Rethink, Don't Tweak37:54 Effective AI Usage and Adoption40:44 Feedback on AI CommentaryKeywords:Generative AI, AI strategy, company AI advantage, digitSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

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Listen daily for practical advice to boost your career, business, and everyday life. So many companies are living in 2023 right now. Here's what I mean. I can't tell you the amount of people that talk to me or. pitch to be on this podcast and treat AI like it's something special, like it's 2023. Here's what I mean by that. If your company had fully implemented generative AI in 2023, you could do something with that. That could be your company's advantage.

Yet here we are, two and a half years later after the generative AI wave that was chat GPT, in November 2022. And so many companies still think and they honestly believe that using AI can be their company's advantage. I'm here to say, you're wrong. And if you still think that way, not only is that a archaic way to go about building your company or your department, but I'm letting you know, you're going to get. get lapped. You're going to get passed up by smaller, more agile companies that understand

AI isn't your company's advantage anymore. It's just the internet. All right. I'm excited for this episode. I hope you are too. What's going on on? My name is Doran Wilson and welcome to Everyday AI. This thing is for you. Unedited, unscripted, live. I say sometimes it's the realest thing in artificial intelligence where you can't tell what's real and what's fake. well, this is real. And if you're trying to grow your company and your career with generative AI, it starts here, right, with a live stream of the podcast. But if you really want to take it to the next level, you got to go to our website at your everyday AI.com. Because there you will find not just a place to sign up for our free daily newsletter, where we're going to be recapping the

highlights of today's show and everything else to keep you in the loop with what's happening today in AI. But also, you can go learn from hundreds of the industries smartest, most creative, most innovative companies that we've interviewed on our show all for free. So if you want the AI News, make sure to check out today's newsletter. But let's get straight into today's show. And let me just be blunt in saying this. I think this is one of those episodes. I'm making kind of for myself. Right. Sometimes it's, it's, you know, we do these hot take Tuesdays, right? And, Let me know if you guys like this new kind of lineup that we kind of unofficially started a few months ago.

So we do the AI news that matters on Monday's hot take Tuesday where I give you all the hot take, putting AI to work on Wednesdays. And then we generally do interviews on Thursday and Fridays. So this is this today's hot take Tuesday. It's a selfish one. Let me be honest, because I get so many people all the time, right, pitching me or trying to tell me about some innovative thing that their company is doing.

And I'm like, you're using. chat GPT. This is not tech enablement. This is not disruption. And so many companies truly believe that just by using generative AI, by using large language models, that this is somehow a competitive advantage.

And yes, this is a real thought by real enterprise companies here in the U.S. and globally. So don't get me wrong. I'm glad that the conversation has turned from AI being this like, oh, should we touch it? Not sure, right? To now every single company does realize that they need to use it. But in today's show, I want to tell you a couple of things.

One, I'm going to give you the AI versus internet test to see if your company's strategy or marketing is sound or useless. I'm going to tell you why your customers are using AI without even knowing it and how that impacts what your company does. And then I'm going to give you the three things that you should be doing instead of just slapping AI powered on your website or blindly saying that you offer something of AI value. So here's my straight up hot take, right?

So you don't have to listen in the next 15 to 20 minutes. Number one, companies are just slapping AI powered blank on their website and they think that makes them innovative. I think that makes you look foolish. And I'll tell you why. because AI is just the internet. Okay. The lines are blurring every single day.

So many people are actually using and benefiting from AI and relying on AI without even knowing that they're using AI. So if you want to be so braggadocious, right, as a company and, you know, put out there how your AI powered, AI enabled. it looks fairly foolish because that is the baseline. That is the expectation now. And I think most companies, AI strategy is embarrassingly basic. And we're going to prove that today. Hey, Douglas said,

LiveStremonians, good to see you. Douglas, good to see you. Douglas said, I may need coffee for this. Hey, I got my coffee, got my hoodie on. I'm going to hoodie mellow, mellow hoodie. any basketball fans know what that is right carmelo anthony when he had the hoodie he was just in a vibe he was just in a mood right i'm in one of those moods today where i think i just have to rip a little bit all right all right but hey live stream audience it's good to see you as always uh but i want some

questions from you all right do you have any hot take questions uh on this topic on how i uh how companies are using this as a strategy or the maybe maybe misalignment between what companies think tech innovation is and what the current reality is. I'd love to take a couple questions today. Don't always do that, but I'd love to be able to do that today. If you have any questions for me, hot take questions on today's topic, get a minute. But let me start with the simple test that exposes weak AI strategies. And it's very simple, right?

Whatever your company's AI strategy is, right? And obviously, this isn't going to hit 100% of companies, but I think this will hit the majority of companies, right? When you say, we're going to leverage AI to do blank, blank and blank. Are you going to slap that on your website? Are you going to send that over right in your proposal to a potential customer about how you're using AI? Here's the test. Swap out AI with the word internet. Simple as that.

Now, if you say something like, we're an internet powered company. it sounds absolutely redoculous in 2025, right? We're an internet, right? But that's what I think you need to do. AI is the expectation, right? Slapping, you know, AI like flex seal, right? If you remember those infomercials, right? There's a leaking boat and the infomercial guy, which, by the way, I don't know why.

Even when I was like eight, nine, 10 years old, I loved staying up late and watching infomercials for stuff I would never buy. I was fascinated by them, right? But you're slapping the flex seal or whatever to stop a leaky boat. That's what companies are doing with AI. They can see the leaks in their company. They can say, hey, we've, you know, for 10 years, we've seen, you know, X year over year growth and we're not really seeing it anymore. So what are we going to do? We're going to flex seal some AI on this thing, right? We're going to tell our customers, our clients, our board members, our shareholders, whatever the the cases for your company that we are AI first.

We're AI native, right? Buzzword, buzzword, buzzword. And I think that this has actually worked for a lot of companies in 2023 and 2024, especially public companies, right? It was kind of trendy or in vogue at the time, especially in 20203, especially for public companies in earnings calls to talk about AI as much as they could, artificial intelligence, agetic AI, right, rag, right? If you could throw out any of these kind of buzzwords in earnings calls, what happened?

Your stock went up because at the time, a year and a half ago, two years ago, most people weren't really sure what this AI thing was going to be, but they knew they wanted it. Right. They're like, all right. I don't know what this agentic AI with rag pipelines is, but we need it. Yes. Talk about it more, CEO. And I think the rest of the business world,

followed suit, but years too late. And if your AI strategy or your AI positioning sounds stupid, if you just swap out the word internet, does it still make sense? Does it still sound like a differentiator? Probably not. Because so many companies' AI strategy right now is thin and useless. And that's not necessarily a knock on every single company. Because this is a wave of tech innovation that I don't think that we,

have a comparison to. And that's one of the reason why even companies that I think are ultimately still going to be successful and have been successful for many years or decades, I think are so behind the curve because they're taking the digital transformation blueprint that they've used for every single tech innovation over the past couple of decades. Right. Here's what we did with the internet. Here's what we did with cloud. Here's what we do with mobile. Here's what we do with social media. And they're applying that same blueprint, sometimes successful, right? Or in many cases, oftentimes their blueprint was successful. And they're trying to apply it to AI, which is why we are here in today's climate two and a half years later. And I'm constantly

having to face palm myself by seeing the position of a lot of big public companies and how they're talking about how they're using AI. And you've probably heard a lot of these and rumblings, right? You know, Open AI CEO, Sam Altman has, you know, said, oh, there's going to be a one person company that's going to be a unicorn, right? A billion dollar company, one person because of how they're going to use AI. Will that happen? Sure.

But I don't think that's the diamond in the rough, so to speak, or the needle in the haystack, right? That's what it's going to be. That's going to be an anomaly. Will it happen? Absolutely. what you need to be worried about, what your company needs to be worried about and what I ultimately think is going to happen, right?

Oh, I'd hate to have the jobs discussion here. But this is the reality. So many companies are going to be laying people off in mass. Everyone's following the example of big tech and big tech has been laying off tens of thousands of people because they're the ones that implemented AI first and they're trying to refigure out what it means to work with AI. I think Microsoft is a good example. And I'm not dragging Microsoft through the mud here, but they recently laid off about 10,000 people.

And they've laid off tens of thousands of people over the past couple of quarters. Yet at the same time, they're investing billions of dollars. They just announced their Microsoft elevate, right? And a lot of people now have this sour taste in their mouth with Microsoft. They're like, okay, well, you've laid off tens of thousands of people because of AI. Yet you're investing, I think it was $4 billion. dollars in Microsoft elevate, right? I'm double checking this here.

I think it's $4 billion. Yes, $4 billion in cash and technology into essentially a program to help people learn AI. It's quite a cutting dichotomy, right? When we look at this technology and we're saying, okay, it's going to quote unquote take jobs, but then we're also investing in it because we know ultimately. it's going to create jobs. But what is ultimately going to happen is companies are going to lay off a bunch of

really smart people. And then they're going to figure out, oh, our company's AI strategy stinks, right? And you're going to have, right, let's say a mid-level consulting company, right? I'm not talking about a big four. I'm saying the next tier. All right. Think of the second tier of consulting companies. Let's say this company does, I don't know, $5 billion in revenue.

They lay off 10% of their staff in 2025 because of AI. You know what's going to happen? I don't think one of those people is going to be that single company, billionaire company, single person billionaire company, right? What's going to happen is a group of 10, 15, 20 of them are going to come together, right? Especially when companies lay off people by the hundreds or thousands. And they're going to come a company one,

one hundredth of the size that laid them off. And they're going to start. eating that company's lunch. That's what's going to happen because companies have been slow to adopt to AI because their AI strategy right now is, oh, we're using it, right? Oh, we're finally deciding in 2025 to train our employees. Yes, it's a good thing. Don't get me wrong.

But you should have been training your employees in 2023 and 2024. So that's ultimately what's going to happen. And that's how I think companies are ultimately going to get exposed by having a weak AI strategy because ultimately they haven't been leveraging it in the way that I think smaller groups can. And here's another reality. People right now, they don't even know they're using AI, right? A good example of that is Google's AI mode. I think sometimes, especially over the last couple of years, with AI overviews, right?

Which aren't necessarily new. But it's getting harder and harder when you're using. using a search engine, whether you're talking about Google or Microsoft's Bing, to be like, wait, is this a normal search or am I using AI right now? Because the lines are being blurred. And I think intentionally so. And I think that same concept is going to spill over into not how we work, but also into what customers and clients ultimately expect.

They're going to expect your company to just be AI native. right? Let's even look at some examples. Google's AI mode right now, they just rolled it out, is already answering two plus billion searches monthly. And I think most people don't even understand that they're using AI. Right now, 47% of search queries show AI results automatically without users asking. And Google processes 480 trillion AI requests monthly. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI Assistant, now live in the Adobe Firefly app, the all-in-one Creative AI Studio. Powered by Adobe's Creative Agent, Firefly AI Assistant lets you start

with your vision, just describe what you want, and shape the outcome as it takes form with the assistant. The Assistant orchestrates multi-step workflows, drawing on 60-plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator, Premiere, Lightroom Express, and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for common creative tasks, like batch editing photos, creating mood boards, portrait retouching, and creating social variations. Every step the assistant takes is visible so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director.

Adobe Firefly AI assistant now in public beta. See it today at Firefly.adobie.com right across their whole suite of products. People don't even understand they're using AI because the AI is just becoming the internet. The lines are being blurred and it's creeping into everything in that employee's touch. As an example, right, not at the enterprise level,

but the biggest companies in the world are just giving away their AI for free. Microsoft gives away copilot free with office subscriptions starting in January of this year. Google gives away AI for free. My gosh, if you're not using AI Studio, why?

Google's AI Studio is absolutely amazing. One of the most powerful tools in the world. ChadGBT gives away AI for free. And their free version of chat chabit is actually pretty good now, right? Whereas a year ago, if you listen to the show, I told you, don't touch it with a 10 foot pole. Now, Chad Chivity's free version, it's pretty good for limited use cases. And right now, 90% of Fortune 500 companies are already running on generative AI tools. So if you business leader still think that just using AI can somehow help your company

or department grow, compete against smaller and larger competitors, you're dead wrong. And consumers, like I talked about, they're going to expect you to be an AI native company. A lot of studies are saying that 95% of customer service will be using AI by the end of this year. 60% of people, according to a Microsoft survey,

are using AI and they don't even know it. They're using AI at work, and they don't even call it, AI and not using AI, your company, if your company is not using AI, your customers and your clients are going to look at you kind of fine. Right. I honestly think for companies that aren't using AI in every aspect of their business by the end of the year, it's going to be like not having a website. Imagine if your company didn't have a website. Red flag.

Right. Or not having a phone number. especially for local businesses. Red flag. Not having a social media account. Red flag. Consumers and clients will expect all companies to be AI native. Because no one wants to do those burdensome manual knowledge work transactions.

No one wants those, right? I think of the meme. Right. I'm going to see if I can pull it up here for our for our live stream audience. Let's see if I can. Right. But there's one person. Here we go. All right.

I got it. I got it. So there's one person here in this cartoon that's saying, hey, let's see if I can share it here. There we go. Live stream audience, you got it. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Gen. Hey, this is Jordan Wilson, host of this very podcast.

Companies like Adobe, Microsoft, and InVIDIA have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen. So whether you're looking for chat GPD training for thousands or just need help building your front end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everyday AI.com slash partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on GenAI. So there's one person on the left hand side and another person on the right hand side. And each of these people are talking to a coworker presumably at work. And the first one says AI turns this single bullet point into a long email.

I can pretend I wrote, right? Oh, wow. Look at this AI. So great. And then on the other side, presumably it's someone reading the email and talking to a coworker. And they say, AI makes a single bullet point out of this long email. I can pretend. I read.

Right? It's funny. But it's also, I think, indicative of how the business world is going to work soon. We're going to be cutting out all of that nonsense, right? The way that we learn and synthesize information is quickly changing. And consumer demands are going to meet that, right? Because what happens is in our personal lives, I think more and more people are starting, to use AI because it's hard not to.

Like I said, right? We all use, you know, Google on our phone or Bing on our phone or whatever, right? It's AI native. As our personal lives become AI native, our tolerance for needless and now archaic business processes, our tolerance for that is going to become very, very slim, right? I'm not saying it's a good thing, right? But now we don't want. a long email, right?

We don't want to go on 50 different websites to find one single piece of information. The good thing that AI has done is it's brought more personalized, clearer context to the forefront immediately. And what that means is in our personal lives and everything else, we're getting higher quality information faster. That's personalized to us. consumers are going to expect the same thing. So you need to be an AI native company.

And early adopters, I think, got rich, while other companies out there are still figuring out how to do a year-long AI pilot. You're out of luck if that's your company. So according to an IDC and Microsoft study, companies that moved early in generative AI received $3.70 for every dollar that they invested. But 74% of late adopters aren't making money or aren't able to measure a positive ROI on AI. So that's according to a Boston consulting group study. So if your company has not already gone fully in on AI, I'm not saying you can't find a positive ROI, you can,

but you're going to have to drastically rework how your company works because you miss the profit window, treating AI like a regular tech innovation, which it is not. I've always said like, I've been trying to tell people this. AI is the internet. You can't treat it like this thing you can't touch. Would you withhold?

If you're a business leader or business owner, would you withhold internet from your employees? Absolutely not. Right? We need the internet to read our emails, to research our competitors, to stay up to date with industry trends, to update your CRM, to look up information in your company's ERP.

You need the internet. You need AI, right? And here's the thing. Now, as these large language models are growing in maturity, growing in capabilities, becoming more and more robust, they're cutting out even the middleman, right? There's companies now, right? I read a post as a simple example, right?

Like, oh, you can book travel with AI, which I think is an absolutely terrible use case. And I don't know why all the companies are always showing this when they're showing off agents, right? Let's have this agent take 30 minutes to find you a hotel in Barcelona. No, thanks. I'd rather do it myself in a minute. However, you know, now there's companies that are cutting out the middleman and they're just bringing that hotel information straight to a large language model. So a large language model doesn't have to go on third party sites. That's what's going to happen.

Right. We've seen these large language models grow with their connectors, their integration. I'm not saying it makes retrieval long many generation pipelines useless. It doesn't. But dynamic company data is going to become easily accessible in large language models if it's not already. And that's, I think, has changed drastically in the last couple of months. That's why you can't treat AI like some special thing that we have to, you know, hey, let's talk about the board at this next quarter, and then we'll roll out a year-long pilot. You're going to lose money. Here's what's essentially happen.

AI is basic infrastructure now. It's not a moat. It's not innovation. It's not digital transformation. It's the baseline. The AI market right now is growing 120% every year. And usage is doubling every two years. So let me get into some advice here.

All right. And if you do have any questions, please get them in. And I always like when you put question in the front. That makes it easier. Thank you for that. As I scroll through some of these comments here. All right. So saying AI power now in 2025, in the year 2025,

is like saying internet enabled. 15 years ago. And your AI implementation doesn't make you special. Right. It's a necessity. Training your employees on using generative AI in large language models is like providing them a computer. It's the basics now.

Customers assume that you're using AI just like they assume that you have electricity. So stop bragging about the plumbing. right and start building something with it that's all it is i'd like to say you need to treat i like electricity it needs to power every aspect of your business but you would never brag about how your company is leveraging electricity we need to move past that i think the conversation on using and leveraging AI needs to change because it is becoming synonymous with the internet. And all that is is electricity.

It needs to be powering every facet of your company. So let me tell you three things that you should be doing. All right. I just spent 20-some minutes getting this off my chest. All right. So thank you for this opportunity, live stream audience, podcast audience, for a somewhat therapeutic.

And I think honestly what this is, because I'm tired of, right, we get pitched all the time. Hundreds of companies a year pitch to be a guest on the show, which I'm grateful for. Don't get me wrong. And when I was getting these pitches two and a half years ago, when companies are like,

oh, we're using AI to accomplish A, B, and C. I'm like, oh, cool. That's a great, it's a great use case. Let's interview you. And I don't know if anyone's realized this. I'm doing fewer interviews in our Monday to Friday lineup. Because if I'm being honest, I'm a little fed up with how companies are treating AI now. Like it's special.

We still get those pitches. Oh, you know, we're our companies using AI to do A, B, and C. You need to talk to our CEO. No, I don't. You're going to go out of business. If you honestly think that using AI to do A, B, and C is special. I don't want to talk to you because there's a good chance that your company is going to go out of business. If that's still your mindset, if you still think that using generative AI wrapped in your data is something to brag about, it's not.

Two and a half years ago, yes, two years ago, yes, a year and a half ago, maybe in 2025, absolutely not. So here are the three things that you should be focusing on instead of just slapping AI on whatever leaky thing that is existing in your company. you need to train every single employee on large language models and generative AI basics. Every single employee. People are always asking, okay, well, hey, if we have all these productivity gains, if all these studies are true, the MacKinsey, the famous McKinsey digital study that says you can save up to 70% of time using generative AI and large language models on manual knowledge work tasks, which is what so many of us do.

What do you do with that time? Well, you start assigning certain people on your team to learn AI, right? Listen to the show every day. There's your cheat code. All right. And train the rest of your organization. If an employee has a computer, they need to be trained on generative AI. What is your company's AI operating system?

How do you use it? You need to be training people, keeping them up to date weekly. That's how fast this space moves. You need to be training every single employee on large language models and generative AI basics. Number two, you need to focus on developing internal use cases and benchmarks for your company. Not enough. Not enough organizations are doing that, right? It's fine to rely on third party benchmarks, right?

There's plenty of third party benchmarks. We talk about LM Arena a lot here on the show. That's great. But there's a certain point where large language models, for a large part, can become a commodity. You need to be finding use cases. for your company and you need to constantly be benchmarking those use cases on an ongoing basis. Learning and actually leveraging generative AI is an iterative process. It's not like tech innovation of decades past where you, as an example, choose a cloud

provider and stay with them for decades, right? It's not like, okay, here's our social media strategy and we're just going to blindly post and hope something happens and have a lot of meetings about it and try to go viral. Right. No, this is iterative large language models in the generative AI escape. It is a living, breathing thing. Take it from someone who covers it every single day. Your strategy that you feel so proud about that was maybe sound a year ago, if you're still doing that,

no, not going to make it. You need to be iterating, revisiting. It is a cyclical process. And then number three, you need to develop a first party data collection team that fees your AI unique information. Rag is not enough. As we look at agentic AI, you need to start collecting reasoning data from your leaders, right? Sometimes we talk about the silver tsunami here on the everyday AI show. So many companies are going to be losing decades of institutional knowledge.

And it's not just the structured information that lives in spreadsheets. and CRMs that you need to be collecting. You need to be collecting the expertise. You need to be collecting reasoning. You need to be connecting, collecting, curating, cleaning, logic. That's what you need to be focused on. I think so many companies, especially enterprise organizations,

they have all their structure data. It's not hard to, you know, connect those and, you know, spin up mini-rag environments. You know, now you can essentially do it in a couple of clicks in front-end large language models, is wild because you used to have to pay millions of dollars and spend a lot of time and hire some engineers to do that. You can now do a mini version of that with a couple of clicks in any front and large language models. You need to be focusing on the future of AI, which is agentic

AI, which is when you hand over decision making processes to AI agents. You can't be focused on what has happened. You need to be focused on what is happening and how you can find that information and actually leverage it. So again, the three things train out. Number one, train every single employee on large language model and generative AI basics. Two, focus on developing internal use cases and benchmarks for your specific business. And three, develop a first party data collection team that feeds your AI unique reasoning information. All right.

Let's see. Might have a couple of questions. I'm going to try to get to a couple here. A couple of questions. Here we go. Let's see how this goes. Marie. Question, who do you think will win the AI race at the top?

The U.S., China, or India? It's a good question, right? And it's actually kind of relevant to today's show, even though if you don't know it or not. I'll say this. Obviously, I'm based here in the United States. And most of the companies that I work with are based here in the United States. I don't know who's going to win. I will say this.

If you are an enterprise company, that does business in the United States, you should be focused on U.S.-based models. You should be focused on Open AI, Google, Open AI's ChatGBTGBT, Google's Gemini, Microsoft co-pilot, Claude from Anthropic, those four, right? You shouldn't be using Chinese models, period. It's a huge safety issue. There's a reason why there's ongoing conversations of banning Chinese AI in the U.S. federal government. Who do I think will win?

I mean, honestly, right now, I think it's a two-team race. It's Google and OpenAI, at least when it comes to the front, kind of the frontier. You know, Microsoft's in a very unique position with a 49% equity stake in OpenAI. So you can't count Microsoft out, obviously. And it's going to be interesting to see what they do in the coming years as their current agreement with Open AI changes terms. another question here from I am a toll boy on YouTube. Do you think one of the major large language models were win? Or do you think a new player will arise in the next year or so and take off and win the war?

No. It's going to be one of those four. It's probably going to be either Open AI or Google, right? It's 1A and 1B. I'd say at least recently. It's been Google 1A and Open AI 1B. but, you know, that could change next week. All right, Cecilia, isn't an AI strategy a quality enhancing tool that requires reengineering work processes,

which most people don't take the time to do? Absolutely. Cecilia is right on the money here. And I think that's an important thing when it comes to AI strategy. So an analogy that I say sometimes is people think an AI strategy is looking at their current processes, their current SOPs, and just sprinkling a little bit of generative AI on top. We're like, oh, yeah, yeah, yeah. Let's keep the process the same and sprinkle a little chat chbt here.

Sprinkle a little Google Gemini here. No, you need to absolutely rethink the work that you do. You need to blow it all up, period. An actual AI strategy that will keep you competitive in the years to come. You need to absolutely relook at how you work, which I think is what the big companies like Microsoft are doing, even though that's not popular for me to say, and I'm not overlooking, right,

the harsh reality of cutting thousands of jobs, but that's what big companies like Microsoft are doing, right? They're rethinking how they work, and that's a process. And you have to, I've said this many times on the show. I hate the word upskill and reskill, because I think of that as just sprinkling AI on top. Or, hey, we have a 10-step process of how we work, and, you know, steps three through five,

we're just going to combine into one step and we're going to put AI there, right? Is that okay for now? Sure. Will that keep you competitive in the future? Absolutely not. You have to literally unlearn and rebuild from scratch being an AI first or AI native company.

Otherwise, you're just using the internet like everyone else. That is not a competitive advantage. That's not a moat. That's not going to help you build into the future. All right. All right, one more, one more question here from the YouTube audience. How do you explain how AI works with the average person? They keep hearing jobs will be replaced,

but they don't understand how it works or how prompts work. How do you explain it? Good question. I say find someone's pain point. All right. Maybe this is a department head. Maybe it's a colleague. Maybe it's a coworker.

You need to understand what they do in their role. ask them, see what they hate, right? Then go find the right generative AI tool that can do 80% of the work in 20% of the time, right? Find a story. Find a pain point and say, hey, Jim, I know how you hate going through monthly expense reports. And then you have to grab them, you know, grab all this information. You have to reformat it. You know, you have to open, you know, this SOP, you know, you know, this SOP, you know, you know, know, compile the new documents. You have to create a new spreadsheet, update all these rows and cells, create a PowerPoint for the board, blah, blah, blah. Here, look, this AI does this. And I checked it. It's all correct, right? So you have to actually, number one, you have to know the right way to use large language models. If you're a novice, I don't think you can convince the naysayers. If you are a power user, if you're using large language models the right way, if you're going through a proper prompt engineering process like we teach with prime prompt polish if you're using

connectors and integrations um then yes i think you find the use case you find the pain point and you go solve that one thing that naysayer or the fence sitter absolutely hates and you do their job for them right if someone's not taking it seriously that's what you should be doing Yeah, you don't don't focus on job loss. Don't focus on sprinkling AI on top. Unlearn an entire process, right? But one mind-numbing task that someone hates because you could have, you know, an AI system do something great, something fancy, something shiny. It doesn't matter, right?

You have to hit someone where it hurts. What does someone hate doing? You have to make it personal for them. to show them the upside. All right. Got a couple of questions in, and I'm happy for that. So as we wrap up,

let me just say this. Using AI is not a strategy. Sprinkling AI on the top of current processes is not going to keep your competitors from lapping you. Simply using large language models is not going to help you win new customers in the future. Someone smaller or bigger is going to squash you if that is how you're actually still using generative AI

and large language models today. You have to understand the AI, the AI. You have to understand AI is just the Internet. Everyone's using it. if your company, if your department is using AI, that is not a strategy. That is a basic requirement. That is the electricity. Now, you have to use that power and go do something with it.

And please stop just slapping AI on something and pretending it's special. It's not. I hope this was helpful. If so, please let me know. Repost this. I don't know. If you don't want any more gripey old man Jordan shaking his fist at the digital cloud, tell me, I just felt I needed to get this off my chest.

All right. And kind of set the record straight. As someone that talks AI every day, I get to talk to a bunch of smart people. You know, my email inbox is flooded with, you know, people saying, we're innovative. We're doing this. We're doing that. No. I need you to say, I need you to understand.

Repeat after me. AI is the internet. Just using AI is not a competitive advantage. Thank you for tuning in. Podcast audience. please make sure to subscribe and leave a rating. I'd appreciate that if you're listening on the live stream. Appreciate that as well.

Love being able to interact with you all. And if you haven't already, please go to your everyday AI.com. Sign up for the free daily newsletter. We're going to be recapping the main points and more from today's show as well as keeping you up to date with everything else that you need to be the smartest person in AI in your company or department. Thank you for tuning in. Hope to see back tomorrow.

And every day for more, Everyday AI. Thanks y'all. 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 Your EverydayAI.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.

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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 your everyday AI.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.