Ep 241: Want to ban AI? Be prepared to shut down.

Embracing Generative AI: The Key to Business Survival

In the continuously evolving marketplace, AI's transformative role is impossible to overlook. The surge in digital transformation has turned AI into an essential business tool. The denial or avoidance of this technology might impact an organization's growth as well as its survival - a viewpoint similar to internet denial two decades ago. This article aims to demystify this topic and shed light on why generative AI must be embraced and not banned.

The Consequences of Banning Generative AI

Turning away from generative AI is akin to refusing to adapt to the continual changes of the technological sphere. Companies reluctant to adopt new technologies and processes should reflect on those that suffered for similar reasons in the past. There have been several cases, including Blockbuster, BlackBerry, and Sears, where businesses failed to innovate and adapt, leading to their eventual downfall.

Reasons for AI Reluctance

Despite the proven benefits of generative AI, many companies are still hesitant to adopt it. The reasons can range from a lack of understanding, data privacy concerns, fear of job losses, and ethical dilemmas to lack of control, cost anxieties and legal implications.

Unraveling the Truth from Misconceptions

It's essential to note that while these concerns are valid, they stem from misinterpretations or a lack of understanding. Data security with generative AI is no different from other digital tools such as cloud storage or email. AI doesn't aim to eliminate human tasks but automate mundane routines and boost productivity. As such, one should view it as a productivity-enhancing tool rather than a threat to human jobs.

From Lessons of History to the Future

The lessons of history should serve as a guide for future actions. Companies refusing to embrace generative AI share a striking resemblance to VHS and DVD companies that didn't adapt to digital resources. Consider BlackBerry, once a market leader, became obsolete due to its lack of adaptation to new trends, while Apple, on the other hand, continues to prosper because of its innovation-first approach.

AI Future-Proofing

The importance of adopting generative AI for businesses is not merely to stay competitive but to ensure survival. As examples show, companies failing to adapt to such revolutionary technologies miss critical opportunities for growth and eventually succumb. As Internet usage became a necessity in the digital era, the use of generative AI is fast becoming a fundamental requirement to thrive in the marketplace.


While fears and misunderstanding about generative AI might persist, business leaders and executives need to remember that the world moves forward through innovation and adaptability. Failing to adapt to AI is as drastic as banning the Internet – a move that could be detrimental to the growth of the company. As such, it is a clarion call to all decision-makers to consider the benefits and prepare their companies for the future. To remain viable in this data-driven age, there's no other way but to accept and integrate generative AI into their strategies.

Topics Covered in This Episode

1. Consequences of Banning Generative AI
2. Importance of Adapting to New Technologies
3. Generative AI and Data Security
4. AI Legal Implications and Regulatory Compliance
5. Productivity Benefits and Risks of AI

Podcast Transcript

Jordan Wilson [00:00:17]:
If your company is banning generative AI, then be prepared to shut down. Sorry. I think sometimes on days that aren't hot, take Tuesday, I take it a little lightly on certain companies. But recently, I don't know for whatever reason, I've I've been hearing so many stories, reading so many articles about companies that are still, to this day, banning generative AI. We're gonna go over the reasons why so many companies still are banning generative AI and then go point by point and tell you why each one of those reasons is a completely bad idea. Sound good? Alright. If that sounds like it's up your alley, stick around. But thank you for joining us.

Jordan Wilson [00:01:04]:
My name is Jordan Wilson, and this is Everyday AI. We're a daily livestream podcast and free daily newsletter helping everyday people like you and like me not just learn generative AI, but how we can all leverage it to grow our companies and to grow our careers. So I'm excited for this one. If you're listening on the podcast, thank you. As always, check your show notes and go to your everydayai.com, to sign up for the free daily newsletter. We're gonna try to keep today's episode kinda short, but the the newsletter is going to contain so much important information, y'all. If if you are working at a company that is still banning generative AI top to bottom, You need to listen up today before it's too late. You can't say, you know, hey.

Jordan Wilson [00:01:45]:
No one warned us. I'm warning you right now. Alright? I've talked to 100, with an s, 100 of experts around the globe when it comes to generative AI. And if you are not using it, if your company is still banning it, you

Jordan Wilson [00:02:00]:
are going to fail. Alright? So if

Jordan Wilson [00:02:03]:
you don't wanna fail, go check out our website, your everydayai.com. It's It's like a free generative AI university. No matter what you want to learn around generative AI, whether it's, sales enablement, marketing, entrepreneurship, health. It's all on there. We've talked to, like I said, hundreds of experts. Go check out our website. Learn. Get your learn on.

Jordan Wilson [00:02:23]:
Alright? So before we get into today's topic, let's first talk about what's going on in AI news. Alright. So the UK and the US have signed a landmark deal on AI safety evaluation. Alright. So the UK and the US have signed a significant agreement to collaborate on developing robust methods for evaluating the safety of AI tools and their underlying systems. So this brand new bilateral agreement marks a crucial step in addressing the global challenge of ensuring the safe development of AI technology. This agreement builds upon commitments made at the AI Safety Summit in November 2023, where the UK and US establish AI safety institutes to assess open and closed source AI systems. So despite the intense competition among major AI chatbots like ChatGvT, Gemini, Claude, etcetera, US based firms are still cooperating on the concept of regulation.

Jordan Wilson [00:03:19]:
So we'll see how that actually plays out, especially here in the US. Alright. Next piece of AI news. We have kind of a double, double announcement here from ChatGPT. So, OpenAI has made ChatGPT public. Yeah, that's right. You can go on an incognito browser, you don't have to be logged in, and you can use the free version of ChatGPT. So if you want to save your chats or if you want to use the more premium g p t 4 version, you obviously still have to have a free or a paid account.

Jordan Wilson [00:03:53]:
So if you do want to go back, to your chats and revisit them later, you can still do that with a free account. If you want to access open ai OpenAI's most powerful model, gpt 4, you still need, at least if you wanna access it via chatgpt, you still need a paid account for that. But anyone right now can go without having an account and use chatgpt. So if you are still on the fence for whatever reason, like the topic of today's show, it's a good time to check it out. You don't even have to

Jordan Wilson [00:04:19]:
sign up for an account.

Jordan Wilson [00:04:21]:
Alright. Last but not least, our piece of AI news for today is Apple has released, yes, another large language model. Weird, right? Alright. So Apple has introduced the AI model, Realm. Alright. So Apple has unveiled a groundbreaking AI model named Realm that apparently surpasses, gbt 4 in contextual data parsing. Alright. And, again, this was released not the typical Apple playbook, but it was released via a research paper.

Jordan Wilson [00:04:51]:
Alright. So Realm reportedly will enhance Siri's capabilities by converting converting context into text or more efficient parsing. This is more related to parsing. So smaller realm models have outperformed gpt 4 according to their benchmarks in the paper with fewer parameters, making them ideal for edge, AI or on device use. So Apple, kinda their their new method is converting images into attacks and eliminates the need for complex image recognition, including model efficiency. Alright. So probably we're gonna see this released or, at least referenced in Apple's upcoming AI strategy at WWDC, their developer conference in June, this June, 2024, and will probably involve some sort of on device, model announcement. So this is actually the 2nd large language model related paper from Apple in the first, in the last few weeks after they announced their m m one model in March via research paper.

Jordan Wilson [00:05:49]:
Alright. So real quick, the difference. REALM stands for reference resolution as a language model, and it's more focused on performing tasks prompted using contextual language on a smart device. Alright. So Realm is a little bit more kind of edge AI smart device, and and more talking about kind of parsing and and grabbing information, where m m where m m one is more of a multimodal AI model that will likely integrate with various modes of communication, such as text, voice, images, and processing information. Alright. That's a mouthful. That's a lot.

Jordan Wilson [00:06:21]:
Alright. So let's let's get to the good stuff. And as always, there's way more news and more info on that at your everyday AI dotcom. Alright. For all of you joining, thank you. How how hot should I go, y'all? I didn't sleep too much. Sometimes when I don't sleep, I get a little cranky. When I get cranky, the the hot takes on hot take Tuesday can be especially hot.

Jordan Wilson [00:06:43]:
So, hey, to our audience joining us, thank you as always, our livestream. If you join us on the podcast every day, super appreciate it. But, you know, join us here in the livestream every single day, 7:30 AM Central Standard Time. Whether you're joining us on LinkedIn or or YouTube, it doesn't matter. But how hot should we should we take it? Throw a throw a flame emoji. Should should we go 1, 2, or 3 for our live audience? But thanks for joining us, Tara and Megan and Juan from Chicago, from Randy Chicago, and Chris joining us from sunny Florida, and Brian and Jay, we got a nice nice audience in the house. Some great AI leaders. Denise and Brian.

Jordan Wilson [00:07:19]:
Thank you all. Alright. My, Caroline says we should just go hot. Michael, I can't even count all the emojis joining us from YouTube. Sarah says burn it down. Hey, Michael. Michael 4 g, former Gus, says slow burn. Alright? But, hey, it looks like everyone wants the super hot takes as always.

Jordan Wilson [00:07:35]:
Why does no one want the, you know, one flame emoji? Is that Michael? Alright, let's get into it. We're gonna keep this one somewhat short and sweet today, y'all, but let's start at the top. If you ban generative AI, your company will eventually fail,

Jordan Wilson [00:07:53]:
period. I don't care what industry you're in.

Jordan Wilson [00:07:56]:
I don't care if you have, sensitive data, private health information, personally identifiable information. It doesn't matter. If you are of the mindset, okay, so if you're a business leader out there, and if you are making decisions on AI implementation, on AI strategy, and you are still pushing it off,

Jordan Wilson [00:08:20]:
and you still have a top to bottom company band, you're gonna fail. Period. Pause for dramatic effect. You will fail. Your company will fail. Period. Alright. So we're gonna talk about examples.

Jordan Wilson [00:08:41]:
Alright. But you definitely don't wanna be the blockbuster

Jordan Wilson [00:08:44]:
of your industry. You don't wanna be the the Blackberry of your industry. You don't wanna be the the seers of your industry.

Jordan Wilson [00:08:53]:
Right? Those 3 companies are just examples that didn't innovate. They didn't adapt to to to today's or, you know, yesterdays or decades old technology. They played it too slow. Alright? So let's look at the reasons, you know? And, hey, if you are if you are joining us live, I'd love to

Jordan Wilson [00:09:16]:
hear your hot takes too. Right? That's why we do this. It's interactive. You know? So I'd love to hear your your hot takes on, hey, is your company banning generative AI? Do you think that a company can still thrive 5 years into the future if they're not using generative AI and all their competitors are? What questions do you have? Alright. But first, I wanna look

Jordan Wilson [00:09:38]:
at this very recent, Cisco Data Privacy Benchmark Study. Alright. We're gonna link

Jordan Wilson [00:09:45]:
to this in the newsletter. This is from 2024. Got some pretty interesting results from this study.

Jordan Wilson [00:09:52]:
Alright. So it shows that 61% of companies surveyed still had tool restrictions. Alright? 61% of companies are still banning some sort of generative AI. That's a lot. Right? In 27%, generative AI in general is not permitted. 27 per 27% of companies. It's so baffling I can't even speak the words. Right? That is wild y'all.

Jordan Wilson [00:10:30]:
That more than a quarter of companies in this survey have a somewhat ban still of generative AI. I'm gonna probably make this comparison more than once,

Jordan Wilson [00:10:43]:
but I'm gonna do so for dramatic fed effect. Alright? So let's say you're a CEO right now, and you've banned generative AI at your medium sized company or your big your your large company. Alright? Do you allow your employees to use the Internet?

Jordan Wilson [00:11:01]:
I would assume you do. Right? To research things, to email their colleagues, to find the most up to date information and, industry white papers to read and to learn? Do you ban the internet?

Jordan Wilson [00:11:18]:
If the answer is no, spoiler alert, the answer is no, then you have absolutely no reason to ban generative AI. It is the exact same thing. It is used differently, and I don't make that comparison lightly. I made that comparison from 1,000 of hours over the past year, conversations with experts, leading and teaching thousands of people how to use generative AI. That comes from experience. That's just not some random, thought that I've stumbled upon here live on the show. Banning generative AI is akin to banning the Internet. I'm gonna say that one more time.

Jordan Wilson [00:12:01]:
If you or your company or your department

Jordan Wilson [00:12:04]:
is banning AI, it is the same exact thing as banning

Jordan Wilson [00:12:10]:
the Internet. That wouldn't be a smart business decision, would it? If your company or if your department couldn't use the Internet tomorrow or anything Internet enabled, what would happen? You

Jordan Wilson [00:12:22]:
could pick up a phone, go find your nearest, word processor, get a phone book out, sharpen your pencils. It wouldn't last long. Your doom would be around the corner. Same thing can stay same exact thing can be said for generative AI. Prove me wrong. I need that sign that says, you know, hey. If you don't use generative AI within 3 years, your company's gonna go extinct. Convince me otherwise.

Jordan Wilson [00:12:47]:
That's the reality. Alright. So let's look at some reasons.

Jordan Wilson [00:12:52]:
Hey. Melissa just says exactly with clap emojis. Alright.

Jordan Wilson [00:14:05]:
So here's why so many companies are banning generative AI. Right? And there's a lot. There are. So

Jordan Wilson [00:14:17]:
I've heard a lot of personal stories. You know, I have a friend that works in Fintech who just texted me.

Jordan Wilson [00:14:22]:
He said, hey. My company can't use generative AI. What should I be doing to keep up? Right? Just recently read an article on LinkedIn, you know, where a CEO talked about how their law firm was banning generative AI and was wearing it like a badge of honor. Guess what, business leaders? Fanning generative AI doesn't make you cautious. Makes you a dinosaur. We know what happened to dinosaurs. Alright?

Jordan Wilson [00:14:53]:
And I think another reason why so many companies, especially medium sized small companies, are still still have generative AI band is they were following the leaders early on. Right? Let's just use JPMorgan Chase as an example. K? JPMorgan Chase early right after, you know, chat gpt came out, and we kind of make the argument and, pretty much the industry standard that, you know, when chat GPT came out, it's kind of the, you know, start or restart of this generative AI boom. And at that point, when it was brand new, when it was fresh, so many big companies banned ChatGPT. Right? And then it turned into this game of follow the leaders, but never go back and update your policies. Because what you saw is, oh, JPMorgan Chase banned ChatGPT. So then you had 100 of companies in similar industries who looked at JPMorgan and said, oh, we should ban ChattGPT and then they never go back. Well, guess what y'all? JPMorgan Chase as widely reported, That whole time that they banned ChattCPT, they were spending a lot of money fine tuning their own large language models that now employees have access to.

Jordan Wilson [00:16:10]:
But guess what? The 100 or 1000 of companies that were following the leaders in their respective niche weren't going back and updating their generative AI policy on a monthly or quarterly basis. They saw someone ban it, so they said, we're banning it, and then they never looked back. Recipe for disaster. Alright. Let's read. Yeah. I love this. I love this, Brian.

Jordan Wilson [00:16:38]:
Brian said, I remember when I had to fight to get the Internet. Why do you need that?

Jordan Wilson [00:16:43]:
Right. Yeah. You should have to fight to use generative AI. Alright? So here's some of

Jordan Wilson [00:16:48]:
the reasons why companies are banning generative AI, and

Jordan Wilson [00:16:51]:
I'm gonna tell you why they're all pretty much terrible. So lack of understanding. Companies fear what they don't know. Data privacy concerns. They worry about their sensitive information getting leaked. Fear of job losses. I've literally heard from this. Companies say, we don't wanna ban generative AI because we might have to lay people off.

Jordan Wilson [00:17:12]:
Ethical dilemmas. Companies are unsure how to navigate AI's potential for bias and misuse. Some of these points are very valid. Right? Lack of control. Companies fear a lack of decision making power to algorithms they don't understand, to the mythical black box of generative AI. Cost concerns. Companies think, oh, I need to spend 1,000,000 of dollars building my own models. No.

Jordan Wilson [00:17:40]:
You don't.

Jordan Wilson [00:17:41]:
It's a bad idea for most companies. For 99% of companies, you do not need to spend a 1,000,000 of dollars to build your own large language model. Maybe the JPMorgan Chases of the world do. Alright, uncertainty over legal, implications. Companies worry about copyright and IP issues. Valid concern. Right? Fear of errors and malfunctions. Companies are concerned about the reliability of AI outputs.

Jordan Wilson [00:18:12]:
Alright? So here's reasons why all those reasons aren't valid. They don't matter. Lack of understanding. Hey, companies. How about you learn generative AI? How about you don't just fear and ban what you don't understand? How about that? Data security risks. Okay. How about you take the time to learn data security and create guidelines and guardrails on data security, just like you've done over the past 2 decades when it comes to your data and online storage. Right? If you're a large company, you have data security, privacy in place.

Jordan Wilson [00:18:57]:
Certain generative AI systems have that same level of of data security. Yo. Can I go on a side tangent for some reason? I don't understand when I talk to people. They're like, yeah. Our company is still banned generative AI because of data security. And I say, okay. Well, what do you use for cloud storage? And they rattle it off. What do you use for email? Rattle it off.

Jordan Wilson [00:19:19]:
And I say, do you have any idea? You know, if this if this document that is, you know, so so secure that you can't, put it into a large language model with training turned off in enterprise edition. But if you're getting that exact same company, let's just say Microsoft Copilot. Alright. So let's talk about Microsoft 365 Copilot, the enterprise version, high grade security, some of the most secure, software AI software in the entire world. It doesn't make sense if a company says, oh, okay. Well, you know, we're not gonna trust Microsoft 365 Copilot, generative AI with our data, but you're giving Microsoft your data for cloud storage. You're uploading all that quote, unquote sensitive data, onto a shared PowerPoint. You're you're using the email.

Jordan Wilson [00:20:12]:
It is all the same encryption.

Jordan Wilson [00:20:17]:
Do you understand how nonsensical is nonsensical even

Jordan Wilson [00:20:21]:
a word? Do you understand how nonsensical that is? That's people's actually reason. Actual reasons. Companies' actual reasoning. Right? Or you can say the same thing with AWS. Oh, well, AWS has a large language model. Oh, we only feel secure with our data in a AWS. Okay. Why aren't you using their large language model? Oh, you you know, we only trust Google with with with our data.

Jordan Wilson [00:20:44]:
Okay. But you aren't using Google's large language model? It's already there. Your data is already there. So if you've already gone through your due diligence, if you've already put up your guardrails, your safety, your precaution, trained your employees, and you've been doing this for decades, and your data is already in one of the big tech players, your your Amazon AWS, your Google Cloud, your Microsoft Azure, wherever it is, and you're not using that large language model,

Jordan Wilson [00:21:13]:
recipe for straight up disaster. Alright. Potential for misinformation. Hey. If you learn how to use a large language model properly, you're not going to run into misinformation. Again, this

Jordan Wilson [00:21:28]:
is where I make that comparison to the Internet. Do we trust our employees to use the Internet when they're writing an email? Do we trust them to use the internet when they're creating a a research paper? Do we trust them to use the Internet when they're putting together a pitch for a third party? Absolutely. Right? Because you know, oh, I probably shouldn't copy and paste and plagiarize. I probably shouldn't, you know, go to page 19 and and use a source that I've never heard of. The same common sense human judgment that we afforded to employees using the Internet. We need to deploy that same level of basic human trust and understanding. You need to train everyone and set up your guidelines, etcetera, but you need to have that exact same level of trust with generative AI. It's like what I keep saying.

Jordan Wilson [00:22:24]:
Replace the word Internet with generative AI. Alright? Intellectual property issues is another reason why companies don't want to use generative AI. Well, guess what? Big companies like Adobe, Microsoft provide guarantees,

Jordan Wilson [00:22:41]:
saying, hey. If you use, outputs from our large language models, you are protected. Right? Read the fine print.

Jordan Wilson [00:22:50]:
You know, if if you're an enterprise company, enterprise grade large language models, enterprise grade generative AI partnerships and software have that protection in there, which you probably don't know. You're scared of what you don't know. Regulatory compliance, uncertainty over legal implications. Guess what? Hire lawyers.

Jordan Wilson [00:23:08]:
You hire lawyers for everything else. Why wouldn't you now hire lawyers to help you understand those partnerships and understand and potentially litigate if anything comes up. Right? Probably one of the most famous studies when it comes to generative AI and productivity is a study from, McKinsey Digital that said up to 70% of, you know, knowledge workers' manual tasks can be automated with generative AI. Are you really gonna leave that 70% on the table because you don't understand it?

Jordan Wilson [00:23:45]:
Are you gonna leave that 70%? 70% is a huge number y'all. It's not something small. That's not something small. And I honestly think that number's off. It's way off. We haven't even talked about agents. Right? That study is, you you know, couple years old. It was updated this past July.

Jordan Wilson [00:24:06]:
If I'm being honest, once we have agents in the workflow, 85%.

Jordan Wilson [00:24:14]:
Probably probably more. I'm trying to, you know, I'm I'm I'm trying to be, a little cautious here. Easily 85%. Do you really want to miss

Jordan Wilson [00:24:23]:
out on an 85% productivity boost, which is unheard of. Because you don't understand it? Because you don't wanna hire a lawyer? Because you don't wanna understand data security? Right? With all that saved time, put your team members on these things to address these things, to continually train your new employees. Yeah. Hey. What Woozi said? He said sometimes it's just easier to put your head in the sand. Yeah. Put your head in the sand. If there's a pack of birds in the desert, I don't know why birds would be in

Jordan Wilson [00:25:03]:
the desert, where does that saying come from? Put your head in the sand. What animals are in

Jordan Wilson [00:25:08]:
the sand that put their heads in the sand? Anyways, if you're in a pack of animals and you put your head in the sand with this generative AI analogy, as soon as you take your head out, everyone's gone. Everyone's advanced. You're left behind to die. You're extinct.

Jordan Wilson [00:25:23]:
Alright? So is anyone feeling this? I'm wondering. If you're listening to this, does

Jordan Wilson [00:25:32]:
this sound like your organization?

Jordan Wilson [00:25:34]:
Is your organization still fighting off generative AI? Maybe you need an example, an example or 2. Right?

Jordan Wilson [00:25:43]:
So I'm not gonna spend too much time,

Jordan Wilson [00:25:47]:
but the history books have already been written. If we're not learning from our past, we are asking to not have a future.

Jordan Wilson [00:26:02]:
Blockbuster, in video streaming, versus Netflix.

Jordan Wilson [00:26:06]:
Hey. I probably miss Blockbuster just as much as you. I remember being, you know, 8 years old and going there once a week and picking out a movie or video game. Great. Their company didn't make any changes. The writing was on the wall, they said we're too big. Right? So Blockbuster, at its peak had 9,000 stores, nearly $6,000,000,000 in revenue. Within about 5 years,

Jordan Wilson [00:26:41]:
their revenue was about cut in half. Alright. And let's look at Netflix in that same time period. Right? There's the famous story that Blockbuster reportedly had the opportunity to acquire Netflix for $50,000,000 very early on. Alright. Let's look at Netflix in

Jordan Wilson [00:26:59]:
a similar similar ish time period. And look at their growth. Netflix originally was DVDs. I got DVDs in the mail from Netflix very early on in, like, I don't know, 2002 or something like that. Netflix adapted to tech innovation, going from DVDs to streaming. Blockbuster had their

Jordan Wilson [00:27:29]:
VHSs and their DVDs, and that was it. They said, we're too big. We don't need this. The younger, more nimble

Jordan Wilson [00:27:40]:
company adapted quicker and squashed them. K? Blackberry. Blackberry and a lot of other smartphones versus Apple. Alright? Blackberry had a huge percentage of the market share in the early 2000. And 2 even still in 2011, they had $20,000,000,000 in revenue. By 2016, they were obsolete, had less than 1% of the market share. Their previous market share was more than 40%.

Jordan Wilson [00:28:22]:
To go from

Jordan Wilson [00:28:23]:
40% to 1% in about a half decade, That is crippling. Obviously, we know Apple. Did a little different. Right? Early days, Apple doing $2024,000,000,000 in revenue. Now they're one of

Jordan Wilson [00:28:44]:
the largest companies in the world. In 2020, they're doing 274,000,000,000.

Jordan Wilson [00:28:50]:
1 company adapted to technology, pushed the envelope. The others didn't. Right? The Nokias, the Blackberries of the world. Now they're all but obsolete. Last example. I'd hate to

Jordan Wilson [00:29:06]:
pick on Sears. Right? You could swap in the name Sears for just about any big retail store. Right? Before, Sears was the world's or sorry, was the United States' largest retailer. Turn of the millennium in 2000. $41,000,000,000

Jordan Wilson [00:29:25]:
in revenue. Alright? About 17 years later, cut in half. They filed for bankruptcy. Right? Amazon, in a similar time frame,

Jordan Wilson [00:29:41]:
went from $5,000,000,000 in revenue.

Jordan Wilson [00:29:43]:
So they were the little guy. Now, obviously, 100 of 1,000,000,000 in in revenue now for Amazon. Right? So what happened? Blockbuster didn't adapt to the Internet. Bankrupt. Got squashed. Blackberry didn't adapt to new technology. Got squashed. Sears didn't adapt to consumers wanting to shop online.

Jordan Wilson [00:30:16]:
Got squashed. If your company doesn't use generative AI, you will get squashed. Whether it's next week, next month, next year, you are on the clock. Using generative AI isn't a choice. It's not a choice to

Jordan Wilson [00:30:41]:
say, oh, yeah. We need to be more productive. Yeah. Let's let's grow. Let's scale. Let's use this technology. No. It is a necessity.

Jordan Wilson [00:30:51]:
I can guarantee even if you're a giant in your industry, if you're one of the big players, if you're one of the biggest fish in your respective pond, you're gonna run out of oxygen. You're gonna get gobbled up. There's gonna be a a younger, hungrier, more agile fish that's gonna gobble up all your food. And pretty soon, you're gonna be starving. You wouldn't ban your employees from the Internet, would you?

Jordan Wilson [00:31:31]:
So why would you ban generative AI at your company? Don't do it. Don't do it. Alright. As we wrap up today's show, let me just say this again.

Jordan Wilson [00:31:48]:
I can't say it loudly enough, and sorry if my my audio's trailing off a little bit here.

Jordan Wilson [00:31:56]:
If you ban generative AI, your company will fail. Whether it's now or later, there's no getting around it. It's not using generative AI isn't isn't being innovative. It's not anymore. 2 or 3 years ago, it was.

Jordan Wilson [00:32:19]:
Using generative AI is a necessity now. You wouldn't ban your employees from using the Internet, so don't ban your employees from using generative AI generative AI. Use it the right way. Learn it. Practice it. End of story. I hope this was helpful y'all. If so, please consider if you're listening on the podcast, please leave us a a rating.

Jordan Wilson [00:32:43]:
Please share this with your friends. If you're listening on LinkedIn, sometimes it takes 5, 10, 15 hours to plan one show. It takes you 5, 10, 15 seconds to share this. Tag a friend. Repost it on your social network. People need to know. If your company is not using generative AI, reach out to us. We work with companies and teach them how to use generative AI.

Jordan Wilson [00:33:04]:
You have a resource here in Everyday AI. So go to your everydayai.com. Sign up for that free daily newsletter. Please use generative AI. Don't become extinct. Please join us tomorrow and every day for more everyday AI. Thanks, y'all.

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