Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AI


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Silent AI Productivity Killer: The Case for Company-Wide Training and Implementation

Artificial Intelligence is widely acknowledged as a critical factor in steering businesses towards successful, future-proof operations. Unfortunately, many establishments have yet to fully leverage this potential. Despite the prevalence of AI technology at the fingertips of large tech corporations, a crucial aspect is missed out: thorough education and training of the workforce to keep up with the fast-paced evolution of AI.

The Illusion of ‘Free Training’

Large tech corporations invest a considerable portion of their resources in building and delivering AI systems. Often these companies offer free training, but these tend to be sales-focused, lacking the depth and breadth necessary to equip their workforce and clients for how Artificial Intelligence works and how to leverage it effectively. This breed of training is far from sufficient, creating a gray area of AI understanding, leading to a void—a silent productivity killer.

The Misinformation Epidemic

The general consciousness is awash with misunderstanding and misinformation regarding Generative AI. These echo across social media platforms by well-meaning but misguided individuals advocating AI training and information. The sprawl of misinformation is partly attributed to a lack of proper documentation and thorough understanding. This begs for an urgent need for proper AI education and training within the AI business space.

The Crucial Role of Generative AI Adoption

Generative AI, an advanced AI technology that enables machines to create content, must be integral to the operations of businesses. The impact of generative AI is likened to the web's evolution, with a promise of immense transformative power that companies would immensely benefit from. The lack of training and education to leverage generative AI could leave organizations lagging behind their competitors.

Lack of In-House AI Training and Implementation

A staggering 79% of establishments reportedly expect Generative AI to revolutionize their company operations within the next three years. However, studies show that approximately 73% of employees fear their organization is not providing enough training on this upcoming AI transformation. Most concerning is that only 4% of businesses are willing to adopt AI across their organizations fully.

The Need for Top-Down AI Training Leadership

For AI implementation to be successful, it's crucial that education and training start from the top. Leaders must spearhead the initiative, trickling down knowledge and practices to every tier of the organization. This approach will be increasingly crucial, considering that a mere 4% of companies have AI implemented across their entire organizations, while 83% of companies claim that using AI is a top priority.

Greater AI Understanding: The Key to Overcome Barriers

Data privacy and trust in AI models are among the biggest hurdles in AI implementation. Seventy-two percent of enterprises lack AI and machine learning skills, seriously impeding AI implementation. Notably, these barriers can be toppled with a robust strategy focusing on knowledge, and consistent education and training on AI. It is precisely this kind of understanding and utilization of AI that we need to instill throughout our organizations.

Topics Covered in This Episode

1. The obstacle in leveraging AI
2. Issues with AI education and training
3. Need for generative AI adoption
4. Leadership's role in AI education and implementation

Podcast Transcript

Jordan Wilson [00:00:16]:
There's one very specific reason that So many companies aren't fully leveraging generative AI, and it's a lot easier to solve than you might think. Alright. We're gonna be talking about that today and more on everyday AI. What's going on y'all? My name is Jordan, and I am the host of everyday AI. And this is for you. This is your daily livestream, podcast, and free daily newsletter, helping everyday people like you and me Learn and leverage generative AI. Yes. It is the new frontier.

Jordan Wilson [00:00:49]:
It is like if the Internet and computers all got Rolled up into, you know, like a 1 month rolled out period. So, this is your spot to learn and leverage everything that you need to know. So, let's let's get into it. Let's just start right away. And let me tell you this. If you're listening on the podcast, thank you. Check your show notes. As always, we have related episodes, other great resources, and one of those greatest resources is our website.

Jordan Wilson [00:01:17]:
It's your everyday AI .com. So a lot of people don't know. Yes. We have an entire website. Every single episode, we've done now nearing to a 100. We have recaps of all of those websites. You can go and learn anything you want to. So if you wanna learn more about automation or content creation or entrepreneurship, whatever it is that you need more of, to help you grow your company and to grow your career.

Jordan Wilson [00:01:40]:
We have dedicated podcasts. We might have Ten different podcasts on sales as an example on how to leverage AI in sales. So make sure you go to your everyday AI.com. Check that out as well as you can go read every single newsletter we've ever published. Alright. So before we get into that silent and Silent AI productivity killer. We're gonna tell you what it is. We're gonna say it out loud, and we're gonna break it down.

Jordan Wilson [00:02:03]:
But before we do, let's start as we do every single day with going over the AI news. So first and foremost, Yelp reviews are either gonna get way better or way worse with AI. So Yelp is Introducing a new feature that uses AI to summarize user reviews as well as adding other features to their iOS app to improve search and content recommendations. So This new Yelp AI feature will use large language models to summarize user reviews and highlight a business's key features. The AI summaries are currently only available for businesses in the restaurant, food, and nightlife industries. Alright. Our next piece of AI news, a new partnership is seeking to bring safer AI to teens. So OpenAI announced a partnership with common sense media to develop AI guidelines and education material for teens.

Jordan Wilson [00:02:54]:
This comes after so many concerns about the safety and responsible use of AI, Including its potential to spread misinformation and affect human rights. Yeah. Bad things. So this new partnership aims to ensure and Family friendly GPT branded language models and adhere to common senses standards. So this partnership could be the first step in us Maybe eventually seeing rating systems for different AI models similarly to how we do with movies, you know, here in the US. Could we see a PG 13 version of, ChatGPT in the rated r version? Maybe. Alright. Last but not least, ChatGVT's paid model has competition now from Meta's updated free model, at least when it comes to coding.

Jordan Wilson [00:03:41]:
So Meta has just released its updated AI model for cogeneration called CodeLama 70 b, Which is capable of handling more queries and achieving higher accuracy than previous versions. So this model is available for both research and commercial use. So CodeLama 70 b is Meta's most advanced and powerful coding AI model with 70,000,000,000 parameters. And in benchmarking, this new model outperformed GPT 3.5, but fell just short of OpenAI's GPT 4. So pretty big news there, You know? So yeah. You know, if if you're not you you know, if you don't follow Meta's models, but essentially, this is a fine tuned version, of their, large language model specifically for coding tasks, and it's already performing extremely well. Alright. I'll tell you this.

Jordan Wilson [00:04:31]:
It was pretty hard for me to decide the news this morning because there are so much. So make sure if you haven't already To go to your everyday AI.com and sign up for that free daily newsletter because we don't just recap the news. We don't just recap our conversation every day that we have here on the livestream, But there's actually so much more, and we keep it to just important things that help you leverage generative AI to grow your company and to grow your career. So If you're new here, it's hot take Tuesday, y'all. So every Monday, we give you the AI news that matters. And on Tuesday, we come up with a hot take, something maybe a little controversial. But, hey, let me know if you're joining us on the live stream, You know, like, Tara, Tara's been 1st this week. I love it.

Jordan Wilson [00:05:16]:
So if you're joining us like Tara or Josh, thanks for joining, or Harvey or Brian, Appreciate y'all tuning in. And Val and Cecilia, let me know. How hot should we get today? How hot should we get? Megan Megan says we should Burn, baby, burn. Right? Because I've got some takes here on this silent AI productivity killer. And like I said, It is so much simpler than it needs to be. The solution is simple. Alright. So let me know.

Jordan Wilson [00:05:47]:
Here's the thing. I might offend some people here. I might. You know, because I'm gonna be I'm not gonna be naming names here y'all, like, going back to my, reporting days as an investigative journalist. I'll I'll keep my sources, disclosed. You know? Keep them close to the vest, but I might might hurt some feelings here. Right? Alright. Everyone everyone says hot, hot, hot.

Jordan Wilson [00:06:10]:
I'm still waiting for the day when someone says take it easy, Jordan. Alright. So we'll crank up the heat on today's hot take Tuesday. So here's what it is. We're gonna skip to the end because people complain that I ramble on too much on my Hot Take Tuesdays. So Here is the silent AI productivity killers, and this is why companies can't fully leverage AI. And it is so simple. It

Jordan Wilson [00:06:37]:
is a lack of training and education. Alright? So Before

Jordan Wilson [00:06:45]:
I get into it and, you know, if you are listening on the podcast, we always have the link that you can come back and, you know, watch the livestream because I am gonna be sharing, you know, some slides on the screen here. But before I get to some of these slides, I just wanna talk high level. There's pressure right now. I get it. There's pressure there's there's pressure on, you know, the the big tech companies who are building the AI to build faster. Right? You don't wanna be the, you know, the the the new model that didn't score high enough or the new model that no one's using. You don't want that. So there's immense pressure on the big tech companies and the growing startups who are building the AI.

Jordan Wilson [00:07:26]:
There's pressure to just build, build, Build. Alright? And then there's pressure on companies. Right? There's pressure on, you know, whether you're a a a large enterprise company, Maybe you work in the consulting space. Maybe you're a small business owner. But there's pressure on companies as well because you see All of these, you know, case studies or stories and, you know, it looks like just about everyone out there is sharing on how they're Properly implementing generative AI. So it's almost like we get this this, like, hot case of FOMO. Right? Like, the fear of missing out, and you're like, man, it looks like everyone's running and everyone's sprinting and everyone's so successful with generative AI implementation. So it's problematic.

Jordan Wilson [00:08:15]:
Right? Because what's happening right now is everyone is sprinting, and this is the first time I'd say In modern business times, that the technology is literally too fast For even the smartest people, the smartest companies, the most prepared enterprises, everything is too fast For the rest of us to keep up. So education and training is a huge problem, but do I understand How that has been pushed to the wayside? Yeah. I kinda do. I kinda do because it seems like if you're Spending too much time educating your your staff, your employees, you might miss something. There's literally new new updates, New groundbreaking features every single day. So I understand. Right? So there's probably gonna be some people that get upset when I say, why aren't you training your employees? And they're saying, alright, Jordan. You don't understand.

Jordan Wilson [00:09:16]:
Things are happening too fast. I get that. But we are collectively especially here in the US, we are collectively dropping the ball. Alright. So let's dive in a little bit here, and let me know. Let me know for our our livestream here, everyone joining us. Mike and Woozy and Ken. Thanks thanks for joining us live.

Jordan Wilson [00:09:41]:
What do you think? Let me know. Yes or no, or give me some details. Has your company done official and ongoing training on generative AI? Let me know, or what questions do you have on the proper way? I'll try to tackle everything as we go along and try to tackle things at the and And 2, if there's any questions, but let's start here. I need to say this out loud because sometimes I think smart people Get too smart for their own good. Right? And we are trying to compare generative AI to previous business innovation. It's not like that. It's comparing apples and pumpkin pie. Right? Because so many people are, you know, have been now for, you know, the last 2 years when the the generative AI wave has crashed to shore.

Jordan Wilson [00:10:35]:
So many people have been comparing generative AI to the Internet. And that is a ridiculous comparison. That is a ridiculous comparison. So right now, if you're a business leader and that's what you're preaching or if that is your mindset, get rid of that. That is a a a mindset for failure. Alright? Here's why. Companies had a decade plus, 15 years, To to properly adapt to the Internet. Right? Internet was, you know, popularized in in businesses in in The late nineties, you know, you had your your .comboom and everything was .com.com.com.

Jordan Wilson [00:11:16]:
Right? And eventually, The .com mindset just became, this is how you work. Right? I had a conversation with someone, you know, doing a consulting session with someone yesterday, And I have a a conversation about this and about how smart people are maybe just getting a little too smart, and they're saying, oh, you know, AI, it's gonna follow, you know, the the typical hype cycle. You know? It's, oh, now we're gonna, you know, go into this 18 month period of of disillusionment. No. We're not. Just like the Internet slowly over the course of 10 or 15 years became the new way that we do business. So, You know, now when we're talking about our company, we're you know, we don't tell people, oh, yeah. We're big on .com.

Jordan Wilson [00:12:01]:
Oh, yeah. Yeah. Yeah. We use the Internet. Oh, yeah. Yeah. Yeah. We're we're connected to the cloud.

Jordan Wilson [00:12:05]:
No one talks like that anymore. If you're a fully functioning business, You've obviously been using the Internet in literally every aspect of your job from top to bottom. Everything. Data, analytics, cloud, syncing, etcetera, buzzword.com. That is the same thing with generative AI. Alright? Whether you realize it or not, the same way that if you are a knowledge worker Working in front of a computer, you obviously can't get through your day without being connected to the Internet, Essentially from beginning to end, the same thing will hold very true with generative AI. You will be using whether you Fully realize it or not, you will be using generative AI from the moment you start work until the moment you stop. But generative AI is not like the Internet at all.

Jordan Wilson [00:13:01]:
Again, that was a 15 year period that companies had the leisure To adapt at their own pace. Right? To say, alright. Let's investigate. Let's wait and see. Generative AI is not like that. Right. And I got stats today. I got stats.

Jordan Wilson [00:13:17]:
You know, I got facts. I brought my facts with me. Old journalists in me always Brings the receipts. I got hot takes too. So if you are still or if your company is still on the fence and still hasn't fully implemented, Generative AI. Your clock is ticking, y'all. Your clock is ticking. And that's not a clock ticking of like, oh, your growth is gonna be stunted.

Jordan Wilson [00:13:40]:
That is your company. That is your company. I I've I've said this literally probably the very first episode of everyday AI. I said, companies, They have 18 months. Right? I don't care if you're a small business with 50 employees or a a giant company with 50,000 employees. If you are fighting off AI still, generative AI at this point, you're gonna be toast, period. Yeah. Even 50,000 you know, companies with 50,000 employees, $1,000,000,000 companies, they will get either acquired, mergers are gonna happen, or they're just gonna get straight Washed.

Jordan Wilson [00:14:18]:
Because if you aren't using generative AI, all of your competitors are, and they're getting ridiculous Gains and ridiculous returns on their time invested, and you aren't. Period. Alright. I got that off my chest. Now let's get into, let's get into some stats, y'all. Let's get into some stats. Alright. Hey.

Jordan Wilson [00:14:42]:
Frank says that, you know, him and his company are are using generative AI. That's good. Tara says every company needs a Jordan Wilson. I don't disagree with that, Tara. Yeah. People can reach out to me if they need help implementing generative AI. But let's look at this study. Ready? So a Deloitte study said 79% of people expect generative AI to transform their company within 3 years.

Jordan Wilson [00:15:07]:
Guess what? We're already a year and change into that. So a year and change, that's what you got left, To fully implement generative AI from top to bottom if you don't want to get passed by your competitors. I cannot wave a larger red flag on the podcast, in the everyday eye newsletter, in the live stream. Maybe I should literally get a red flag y'all so you can understand the importance. Because there's still very smart people, very smart companies out there that are still saying, no. Not for us.

Jordan Wilson [00:15:41]:
Yo. I'm warning you. This is not like the Internet. Here's the big difference, yo. Every single big tech innovation Up until generative AI.

Jordan Wilson [00:15:53]:
It changed or it impacted or it improved the

Jordan Wilson [00:15:56]:
way that we share Intelligence. Right? Sharing intelligence.

Jordan Wilson [00:16:04]:
That is not generative AI. Generative AI Creates intelligence. Yes. It does. You could argue that, oh, all large language models are, all generative AI is is It's autocomplete. Well, yeah, that's technically true, but it's also technically true when that autocomplete system has trillions of parameters and works You know, mathematical problems that have plagued scientists and researchers for decades. The Internet was how We shared intelligence. Game changer.

Jordan Wilson [00:16:45]:
Generative AI creates new intelligence.

Jordan Wilson [00:16:48]:
New game. Alright. In 79% of companies surveyed by Deloitte expected Gen AI to transform their company.

Jordan Wilson [00:17:00]:
Alright. Here's another, another study from Hey. Shout out. I think we got someone from, from here in the comments. What's up, Josh? So, study said that 73% of people are concerned about their organization not offering sufficient Trading. And I'm guessing, honestly, the 27% of people that said yes were probably people that had An impact on bringing whatever training that they currently have into the organization because I would guess that that number should be in the nineties. So, but still, almost 3 fourths of people are concerned About not having enough training.

Jordan Wilson [00:17:48]:
Alright. So Let's hit rewind here, and let's talk a little bit more about why there might be this huge lack of education. Or what I'd like to say, there's a

Jordan Wilson [00:18:04]:
lot of misinformation out there. Here's the problem. And I wanna see, like hey. For for my livestream folks, let me know if this is true. Alright. I think I've solved this, y'all. I think I've solved this. So here's here's why we have this huge gap.

Jordan Wilson [00:18:22]:
Right. We have such a large jaw dropping gap between the powers of generative AI And how it is currently being leveraged across the business landscape. Here's why. Right? I talked about it. Build, build, build, build.

Jordan Wilson [00:18:42]:
Money, money, money, money. Right. I spoke at the AI Summit in New York, last month. K. And I was straight up flabbergasted talking to huge companies. Right? Dozens of Fortune 500 companies having conversations with people and

Jordan Wilson [00:19:08]:
just going through the sheer lack training they have.

Jordan Wilson [00:19:11]:
And I said, why? And they said, well, we gotta build. We gotta ship faster. Gotta raise money. Right? That's the concern. Education

Jordan Wilson [00:19:21]:
is not a top priority at all. Right? Like, literally. Alright. So here's the problem. You have the smartest companies in the world, The smartest engineers. And by the way, like, these engineers that are building the AI systems we all use now, they're legit like NBA superstars In terms of, like, they are in crazy demand. They're getting paid oftentimes, you know, more than a half $1,000,000 a year, and that's not even accounting, you know, equity or stock options. They're getting paid ridiculous amounts of money because everyone wants them.

Jordan Wilson [00:20:00]:
Because the focus is to build, build, build, and raise more money, money, money, and make more money, money, money. Makes sense. Right? That's the that's the American way. So the brightest minds are building at breakneck speed OpenAI, Anthropic, Meta, IBM, Microsoft, Google, Amazon, NVIDIA. Right? I'd say those are, you know, 8 of the largest players, in AI space, and they're building at breakneck speeds. And here's the thing. I don't wanna gloss over this, but most of these companies offer some sort of free training. Right? They have, you know, online courses you can take, you know, a a free 3 hour course on this, a free 2 hour course on that.

Jordan Wilson [00:20:53]:
Sure. But they're topical. Right? They're extremely topical. Also, they're a little bit Not salesy, but they're a little salesy. Right? If you're if you're a $1,000,000,000,000 company and you're competing with other, you know, other, large language models for enterprise customers and you're putting out free training, obviously, that free training is gonna be geared toward convincing people. Hey. Use my large language model, Not theirs. Right? So do these big $1,000,000,000,000 companies put out free education? Sure.

Jordan Wilson [00:21:29]:
Is it properly educating and training both their employees and their clients? Absolutely not. Fail. Big f on the paper from professor Jordan. Alright? Failure across the board. So that's the problem. The smartest people in the world are head down, and the smartest companies are head down

Jordan Wilson [00:21:57]:
building, Not training, not educating.

Jordan Wilson [00:22:02]:
So who's training and who's educating?

Jordan Wilson [00:22:07]:
This guy. This guy here on the screen. Right?

Jordan Wilson [00:22:13]:
Ad For our podcast listeners, this is a fictional person. I call this person Billy Boy. Alright? So Billy Boy was, first, Billy Boy was a crypto expert, and then he was an NFT expert. But now he's a chat gpt expert. Alright? So Billy Boy is 20 years old. He lives in his mom's basement, and he has zero work experience. Yet, Everyone is following Billy Boy, and they think Billy Boy here who is tweeting out, chat gbt will make you rich this weekend. Like, comment, and retweet this post, and I'll sell you my prompts book.

Jordan Wilson [00:22:53]:
9,724 chat GPT prompts to make you rich for $99. Normally,

Jordan Wilson [00:23:00]:
and $4,995. Hashtag crypto. Right? This is fictional, but it's also very real. We have

Jordan Wilson [00:23:09]:
the biggest companies not fully following through with training. And instead, we have these 20 yeah. And this is I know this is like old man Jordan, Old man Wilson shaking his fist on on the porch. But this is who we're looking to to train the general business world, And this is snake oil. This is one of the reasons why so many companies have not properly implemented generative AI because they got swept into this smoke and mirrors craze Oh, look at all these prompts. Look at this person sharing these prompts. And then they take those prompts, copy and paste. They waste their money on on some some nonsense that this person is is pushing them.

Jordan Wilson [00:23:53]:
It is literally snake oil. You put it into chat gpt, and you're like, oh, wait. This isn't that good. These copy and paste prompts from Billy Boy are are average. Looks like generative AI isn't for my company. Right. Because if you if you look at tech you know, giant tech company, $1,000,000,000,000 tech company, and you're like, can we get training? They're too busy building, so you turn to Billy Boy here, and you are sorely disappointed. And then you feel, oh, okay.

Jordan Wilson [00:24:26]:
Well, generative AI doesn't work for us. The outputs aren't good. Let's just not do it. Let's wait and see. Let's wait and see for someone else to do it. That is the problem. Stop listening to inexperienced people who are blowing up on social media. Right? Because they're in these engagement pods with 50 of their other NFT Billy Boy crypto friends, so we all think they're genius.

Jordan Wilson [00:24:55]:
No. They are tricking you. They know nothing. Prompts do not work. If you are equating The power of generative AI with the output of a copy and paste prompt, you are doomed. That is not genetic AI. Snake oil, y'all. Maybert says, yes.

Jordan Wilson [00:25:19]:
So many going on. Seriously, watch out for these fake AI courser courses and super prompts. Yeah. Absolutely. Hey. Shout out to former guest here, Josh, dropping some knowledge here. So it's not just me. Alright.

Jordan Wilson [00:25:32]:
So Josh is saying spot on, Jordan. There's a massive lack of documentation from OpenAI, Microsoft, and And I'll say lack of documentation across the board. Right? But he's just said OpenAI just OpenAI just came out with a prop guide 1 year after release. Yeah. A whole year, and we finally got a prompt guide. Right? And it finally said, oh, guess what? You know? Zero shot prompting doesn't work. Of course. Right? So if you use these copy and paste prompt.

Jordan Wilson [00:26:02]:
Those are 0 shot prompts. They don't work. No such thing. Stop doing that. Got that off my chest y'all. So that's a big piece on education because that is misinformation. Right? And a lot of times, I will even go as far as to say it is disinformation Because these silly Billy boys know that prompts don't work, but they keep putting them out there because they know you're gonna comment, you're gonna share, You're gonna buy their, you know, BS course that they're pedaling. That does nothing.

Jordan Wilson [00:26:32]:
So they're gonna keep doing it, so stop doing it. Stop feeding

Jordan Wilson [00:26:37]:
controls. Alright. So let me talk about personal stories here. Alright.

Jordan Wilson [00:26:43]:
So if you're listening on the podcast, I'm gonna do my best to explain This very elementary graphic that I made. Yes. AI didn't make this. I made it. That's why it looks so bad. Alright. But let's just imagine we have 3 tiers of companies. Alright.

Jordan Wilson [00:26:59]:
And any company here in the US fits under one of these 3 tiers. Alright. Our top tier, let's just say, this is our $1,000,000,000,000 tech companies. You know? So there's a handful of companies up there. You know, it's your it's your Microsofts, your Googles, your Metas, Amazon, etcetera. Right? These are the huge tech giants, or we'll say $1,000,000,000,000,000, capable. Right? So let's just put all of our major, AI giants in in tier one. Right? Then you have your tier 2 your tier 2 companies.

Jordan Wilson [00:27:35]:
This is as an example, this is your enterprise company, your Fortune 500, your Inc 5,000. These are the fastest growing companies, enterprise companies, and Publicly traded companies, etcetera. And then also in tier 2, I'm gonna put large consulting companies. Alright? And then you have tier 3. That's everyone else. Right? So that's your small and medium sized businesses, your start ups. See? Look. Error.

Jordan Wilson [00:28:00]:
Error. That should say, small businesses right there or or local businesses. Right? So we have our 3 tiers. Big giants, then you have your your public companies, consulting companies, and then you have everyone else, your small business small, medium businesses, startups, local businesses, etcetera. Okay? The way that this in theory should work, when it comes to AI education and AI training, is there should be tight communication between tier 1 and tier 2. And in theory, knowledge, Education and experience should trickle down in theory. Right? Look at any other major tech implementation in history. Right.

Jordan Wilson [00:28:49]:
Look at I mean, this is a very small example, but look at CRMs. Right? CRMs obviously Really improved how business gets done. For the most part, that was a top down education approach. Right? If you were a big Fortune 500 company, You would have unlimited on demand training from that giant conglomerate $1,000,000,000,000 company that was selling you a CRM Or the, you know, the leader in the space on tier one that is providing that service. It's not like that with generative AI. Ready? We're going off the record reporter, Jordan. So one cool thing that I don't talk about a lot Here on the Everyday AI Show is the type of relationships that we have. Right? There's obviously nice perks That come along with having the most listened to AI podcast in the world.

Jordan Wilson [00:29:44]:
I've got people from these $1,000,000,000,000 companies reaching out to me, Sharing information. Right? Like, which is nice, but I also have conversations with With people that work at these big companies, you know, kind of off the record. And guess guess what? Right? So many of these people at $1,000,000,000,000 companies have told me. Hey. Even though we're building AI, most of our employees don't know how to use even our own AI. Right?

Jordan Wilson [00:30:22]:
Y'all see how crazy that is? You see how crazy that is? Like, If this is changing the way that we work, and it literally is, the biggest companies in the world,

Jordan Wilson [00:30:36]:
The $1,000,000,000,000 companies are too busy head down building building building money money money, And they are not even educating their entire staff or at least not properly, not required education. And, y'all, I've heard this from multiple $1,000,000,000,000 companies that are building the AI systems that we all use. They're not educating because they're worried. They're worried about their other competitors. They're saying, oh, well, if we if if if we spend too much time educating In training our employees, that's taking your foot off the gas. Right? Huge problem. Huge problem. So then what happens is normally you have this tier 2.

Jordan Wilson [00:31:25]:
Right? So tier 1 is your $1,000,000,000,000 tech and just and Huge AI companies that are building the technology we all use. Tier 2 is usually first, you know, kind of first adopters. Right? Those are your large consulting companies that are generally serving as liaisons. Right? Their Clients are either tiered so if we're talking large consulting companies, their clients are either tier 2 or tier 3 customers. Right? And they're looking at big consulting companies saying, hey. How do I use this new generative AI? Right? We're paying for it. We don't know how to use it. Guess what? Not naming names.

Jordan Wilson [00:32:07]:
I've had people at these large household name consulting companies. Ask me. Ask me, number 1, how do we use this? We're we have this in our in our organization. Our clients are asking us, we don't know how. They're saying, Jordan, can you introduce us someone at this company? We don't we don't know how to train our staff or our clients, and everyone's asking us. Right? And then people are just saying, oh, let's do what Billy Boy does. Right? That is literally happening. I'm not making that up.

Jordan Wilson [00:32:43]:
I'm not naming names. Happen on multiple occasions. Same thing with big public companies. You know? Your fortune 500, your inc 5,000. There's don't get me wrong. There's outliers, obviously. You know? I'd say, you you know, you you have your your your 10% of companies that that are ahead of the game. They're training properly.

Jordan Wilson [00:33:05]:
They're they're literally running away. And those 10% that have properly taken the time To train their employees to understand how these technologies actually work. They're the ones that are going to win in the end. Alright? So you have your 10% of companies that are prioritizing and going all in on training, education, understanding, and practical use cases. Then you have your 10% That are ignoring it that are ignoring generative AI. And then you have your 80%. So that's what I'm talking about here. When I have this diagram up, there's obviously outliers.

Jordan Wilson [00:33:37]:
Okay. I'm not talking, in absolutes here, but I'm talking about that middle 80%. In the middle 80% of tier two companies, The largest companies in the US that aren't these mega cap tech titans, consulting companies, etcetera, They don't feel great. They again, I started that stat. 73% said they do not Have the proper education, training, and resources. Yet everyone is expecting these this this tier 2 To be, these are the companies showing us the way. No one knows. And I'll say this, tier 3.

Jordan Wilson [00:34:15]:
So those small and medium businesses, startups, entrepreneurs, and Local businesses. I'd say they're actually some of the ones that are best off right now leveraging generative AI. Yo. If you're a small business owner listening, if you're a a a startup and and maybe, you know, you're you're smaller compared to your larger competitors, you are actually at an advantage. Because if you properly do things the right way, if you properly understand how even just large language models work, You are instantly at a huge competitive disadvantage by being small and nimble and and Agile and being able to shift and being able to to to learn new things quicker, we're actually at an advantage. Right? We do our, you know, our free, prime prompt polish, prompt engineering course all the time, and we've had People from literally all 3 of these tiers. Right? I've we've had people from literally the the the tech trillionaires take our course. We've had people From large consulting companies, Fortune 500, small and then small small, medium businesses, startups, etcetera.

Jordan Wilson [00:35:21]:
I'd say out of the 2,000 plus people that have taken our course, It's actually the tier 3 that are putting that free prime prompt polish, prompt engineering 101 into practice and getting the most out of it. There's too much red tape. There's too much lack of of top down leadership at so many of these companies in tier 1 and tier 2. Problematic.

Jordan Wilson [00:35:43]:
If you're a leader in one of those companies listening, You gotta make a change. Your people might not be telling you about it, but they're telling me, Hey, Jordan. We're not getting trained. We're building this technology. No one's training us. It's problematic y'all.

Jordan Wilson [00:36:05]:
Hey. Tara said she loves PPP. That's good. Alright. Yeah. Marcus. Hey. Another former guest.

Jordan Wilson [00:36:11]:
Marcus, thanks for jumping on. So that's the age old problem of training. We have no time. We're being productive. Right? Yeah. Which again, generative AI is something that we have never experienced before. Right. Similarly to how the Internet changed how we do business, generative AI will change how we do business even more, But in a fraction of the time.

Jordan Wilson [00:36:39]:
Right? We're not gonna get that 10 to 15 years to figure out generative AI. We're gonna get

Jordan Wilson [00:36:44]:
a couple more months. Alright. Let's talk more facts, y'all. I've got more receipts.

Jordan Wilson [00:36:54]:
Think I'm gonna go on a 3 flame emoji rant and not have more receipts? Think I'm just gonna go off what people are telling me Off the record? No. No. No. No. Here we go. Ready? Alright. We're gonna go through this fast because no one wants to sit here and listen to stats, But they're important. Alright.

Jordan Wilson [00:37:11]:
Ready? 83% of companies claim that using AI in their business strategies is a top priority. Alright. And there's different different studies on here from Tech .co, Workday, IBM, etcetera. Alright? 65% of businesses say they use ChatGPT. Pretty pretty large amount. Right? Only 4% of companies have implemented AI through their entire organization. Only 4%.

Jordan Wilson [00:37:43]:
Imagine right now if you said, hey. This Internet thing, yeah, only only 4%

Jordan Wilson [00:37:50]:
of companies out there have implemented it top to bottom. That's wild. There are so many easy productivity gains with generative AI. Right? 80% Say their company has yet to share guidelines on responsible AI use. What? What? That's that's nutty. If 83% of companies claim that using AI In their business is a top priority. So 80 plus say it's the top priority, but 80% say their company has yet to share guidelines on how to responsibly use AI. Those 2 things don't add up y'all.

Jordan Wilson [00:38:27]:
More stats, more contradictions. Right? 72% say their org doesn't have the skills to properly implement AI use. 72% of people are saying, yo. Like, we we don't have the team for this. We don't have the skills.

Jordan Wilson [00:38:44]:
Do you know how bad that is? Right?

Jordan Wilson [00:38:48]:
If you're a leader at a big company, think 72% of employees out there Think, yeah, my company, we don't we don't have the skills. That is a big vote of no on the confidence scale. 70% of 72% of people. Right? Here's another thing. This one's from the the newest IBM, AI study. It says so at different organizations, AI investments yield two x greater Return on investment than non AI projects. Alright. Let me say that again.

Jordan Wilson [00:39:23]:
So AI projects yield a two x greater Return on investment than non AI projects. This is across, the IBM study was across thousands of enterprise companies throughout the world. Yo. That's wild.

Jordan Wilson [00:39:40]:
That's wild. Yet we're not investing in proper education, proper implementation and understanding.

Jordan Wilson [00:39:48]:
Alright. I wanna go through some conundrums here. Ready? We're gonna go through these quick, and then I wanna get get to y'all. If you have questions, get them in now. If you have concerns, get them in now. I wanna talk about them. Ready? So there's an AI paradox here. So despite 83% of companies claiming that AI is a top priority, A staggering 80% haven't shared guidelines on responsible AI u on responsible AIUs.

Jordan Wilson [00:40:19]:
Literally doesn't make sense. Everyone is saying AI is a top priority, but hardly no one As said, here's how to responsibly use AI. AI is just a buzzword right now. All the big companies nip. They know they need it because they don't wanna get passed up. If they're a

Jordan Wilson [00:40:37]:
public company, they gotta say AI and spit it out all the time during earnings calls in order to, you know, keep their stock price up. But they haven't even shared guidelines. K. Let's talk about the skill gap here. Alright. So it's ironic that 72% of leaders admit that their organizations lack AI and machine learning skills, Yet continue to accelerate AI investments. Right? 59% of companies, according to the IBM study, are accelerating their AI investments yet 70 in a separate study from Workday. 72% of leaders admit that their organizations lack the skills.

Jordan Wilson [00:41:22]:
K. So the overwhelming majority of of people are saying our organization lacks the skills to implement AI, Yet nearly 60% are accelerating their investments in AI. That seems like a recipe for It blowing up in their face. K?

Jordan Wilson [00:41:44]:
Alright. Here's another one. Some fun things to ponder

Jordan Wilson [00:41:49]:
on this hot take Tuesday. So the biggest barriers are all education based. So this is according to an IBM study. The 3 biggest barriers to AI implementation are data privacy, Trust in models and skills. Okay?

Jordan Wilson [00:42:08]:
Guess what? All of those things are based on education and training. Right? Data privacy? Yeah. That's a concern, But you

Jordan Wilson [00:42:20]:
need to properly understand and train your employees on data privacy. I agree that tech companies need to also be a little more transparent And give you more information about how, you know, data is and is not used, what type of data is used To train models which which and what data is not used and, you know, according to what plans or what tier of their product you're using. So, yes, Companies need to be more transparent about that. The big companies building large language models. But all 3 of those things, data privacy goes to knowledge and education and training. Trust in models goes to knowledge, education, and training. And then skills, knowledge, education, and training. We've fallen, especially here in the US, and it's interesting.

Jordan Wilson [00:43:08]:
I'll leave a I'll leave a comment, on this on this LinkedIn post to the IBM study. The US is you think the US is is world leaders In successful AI implementation, we are not. According to the latest IBM AI study, we are actually, I believe, behind the global average. And here's hey. I wasn't gonna say this until all of y'all gave me the 3 flame emojis. This was only a 3 flame emoji take. But I'll say this. In the US, we only think of generative AI as a shortcut.

Jordan Wilson [00:43:49]:
We're lazy. Yeah. We're looking for the easy way out. So when it comes to generative AI, that's all we're looking for. It's all we're looking for. We're not seeking to first actually understand the data privacy. We're not truly seeking to understand in How we can trust models output or how to increase the quality of the output so you can have more trust in it. We're not Investing in skill development and education.

Jordan Wilson [00:44:21]:
We only care about shortcuts. Right? How can I automate 70% of my work and not tell my employer? Right? That's what people are worried about. Or they're just worried about how can we appease shareholders by investing more money into AI and hiring fewer humans. That's what people In the US, we are looking for shortcuts. Again, this is the 80%. I'm not talking everyone. We are looking at generative AI as a shortcut, which is why we are massively failing at implementation. Speaking of AI implementation, the AI implementation cliff.

Jordan Wilson [00:45:05]:
So if 77% of businesses are integrating AI, Why are only 4% fully implemented? Right? Talk about that cliff. Talk about that drop off. Right? More than 3 fourths of businesses are using AI, but only 4% are using it across their organization. My gosh. There is such a huge disconnect there. Right? That means that the overwhelming majority of companies that are implementing AI in some facets are not fully investigating how to properly roll it out across the organization. They are not getting quantifiable returns on their investment. Just looking for shortcuts.

Jordan Wilson [00:45:59]:
Alright. I think our last our last conundrum here. So here's our AI investments conundrum. Alright. So like we talked about, businesses are accelerating their AI investments with 59%, increasing their stakes. Yet, The top barriers are data privacy, trust in models, and skills. So this, again, just looks like we are So many companies are just pouring money at the problem. Right? Nearly 60% are wanting to invest more money, yet the biggest drawbacks are all solved With more knowledge, more education, more training.

Jordan Wilson [00:46:42]:
But we'd rather just throw money at it And hope that it eventually goes away or hope that our employees will eventually figure this out. It's like the Internet. You

Jordan Wilson [00:46:53]:
know? I

Jordan Wilson [00:46:55]:
don't know.

Jordan Wilson [00:46:55]:
Like, I started working in 2002. Right?

Jordan Wilson [00:47:00]:
So the Internet had obviously been around for a while. I was never properly trained on the Internet. You just figure it out. Right? Large language models Are not like that. I think the Internet is actually much more cut and dry than gener than generative AI. You have to train. You have to educate y'all. So I'm gonna get to a couple questions here and wrap up.

Jordan Wilson [00:47:25]:
So, Rolando asking, said first time live. Thanks for joining us. So Asking who is at the forefront in training on the 3 biggest barriers to AI implementation. No one. No one. You know? I'm being honest. Yes. The big tech companies do have, You know, some decent trainings out there.

Jordan Wilson [00:47:51]:
Right? All of the models you're using for the most part, they all have training. Not all

Jordan Wilson [00:47:56]:
of them, which is funny, But no one.

Jordan Wilson [00:48:01]:
No one. Because I think instead of fully understanding Large language models and getting to the root of the issue of understanding and creating a learning plan. Instead, Rolando, the big companies are just focusing on where they are seeing measurable gains, and And they're just doubling down on that. Right? That might be only 10% of their use case. But as soon as companies say, Oh, wow. We're getting huge returns on you know, in department

Jordan Wilson [00:48:37]:
l instead of figuring out Department a through k and why departments a through k aren't getting positive returns on generative AI In tackling those those 3 issues that we just talked about, you know, data security, trust, and skills. Instead of saying,

Jordan Wilson [00:49:00]:
I wonder why all the other departments aren't getting, you know, crazy great returns or, you know, maybe they don't have the mechanisms in place to measure, you You know, quantifiable outcome to calculate a return on investment or return on time invested. Instead, they say, oh, look. This department's crushing it. Let's double down here. Let's triple down here. Companies are too focused on Finding quicker wins than they are about properly using it and implementing it across the organization, which is why only 4% Right now, have AI implemented top to bottom. Alright. That's it, y'all.

Jordan Wilson [00:49:40]:
I could go on literally forever. But luckily, We have a show tomorrow kind of related to this. So if you're hearing this and you're like, oh, wow. This sounds like my company. Oh, this this seems like a problem. Right. This seems problematic. Well, join us tomorrow because we're gonna go over the 5 simple steps to start using Gen AI in your business today.

Jordan Wilson [00:50:02]:
Yeah. We've had almost 200 shows here on Everyday AI. I've been very lucky to talk to some of the smartest people in the world around AI. We always get tidbits before and after the show and some great things in the show that we never come back on. So we're digging deep into the archives, and we are building you literally a blueprint. Alright. So if you heard today's show and you're like, yeah. This sounds like my company.

Jordan Wilson [00:50:24]:
There's no education. There's no training, or I just don't know how to implement it. Make sure to tune in tomorrow. Hey. Thursday, it's gonna be a straight up creative banger. We have Rory Flynn, the magician of Midjourney joining us to go over Midjourney v six, what's new, and how to produce powerful ad creative. And then Friday, we're capping it off With maximizing the effectiveness of AI in health care with the president of the American Medical Association. Yeah.

Jordan Wilson [00:50:52]:
That's right. We are bringing you Some expert level guests to break it all down. That's what we do here on the Everyday AI Show. If this was helpful, Please let me know in the comments. If you're still listening, if you still have questions, get your questions in. We're always here to help, to be a resource, and that's what our website is. So go to your everyday AI .com. Sign up for that free daily newsletter.

Jordan Wilson [00:51:13]:
We recap every single episode in great detail, Keep you up to speed on everything else going on in the world of AI so you can properly leverage generative AI to grow your company, to grow your careers. I hope this was helpful. I hope you at least now have a better path forward on how your organization can properly tackle This one secret. It's not a secret anymore, but this silent productivity killer when it comes to AI It's proper education, proper training. Good after it, y'all. Thanks for joining us. We'll see you tomorrow and every day with more everyday AI. Thanks, y'all.

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