Ep 200: 200 Facts, Stats, and Hot Takes About GenAI – Celebrating 200 Episodes


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The Future of GenAI: Transforming Industries and Revolutionizing the Workforce

As we glide further into the digital age, Generative Artificial Intelligence (GenAI) is shaping industries, redefining job roles, and triggering significant shifts in economic structures. Pulling extensive insights from the 200th episode of the “Everyday AI” podcast, this article explores advancements, predictions, and implications of GenAI.

The Upsurge of AI Video Space

Emerging front-runners like Runway, Pika 1.0, Google, and Meta are shifting paradigms in the AI video sphere, blending cutting-edge technology with human-like realism. Preparing ourselves for full-length AI-generated ads fortifies us for the escalating competitiveness in the forthcoming age of AI commercials.

The Influence of Gemini Ultra and GPT 5

Two forceful players in the AI sphere, Gemini Ultra and GPT 5, are gaining momentum, with GPT 5 being lauded for its superior capabilities. The rise in AI-driven job roles and the appetite on Wall Street for firms investing in AI are signs of shifting priorities.

Building the AI Workforce

Although the generative AI market is flourishing, a gap persists in the training system. Universities turning out the workforce are notable laggards, heightening the scarcity of proficient AI professionals. The rush to bridge this gap underscores the need for effective academic and vocational training.

The Economic Impact of GenAI

The ripple effects of generative AI are tangible and diverse, from sparking chaos and disinformation in the election cycle to adding trillions to the global economy. The international scene percolates with speculation over upcoming AI legislation, while businesses wonder about the commercial and ethical implications of copyright infringements by GenAI models.

AI Deepfakes and the Job Market

Realistic AI deepfakes are triggering wider reactions, fueling concerns over potential misuse. Simultaneously, projections of GenAI disrupting over 200,000 employment opportunities in the entertainment industry within two years shine a spotlight on the technology’s transformative power.

GenAI in the Big Tech World

As big tech firms like Intel, Microsoft, and OpenAI extend their AI offerings, startups face challenges, while others spearhead innovations in AI technology. AI chatbots are emerging as crucial tools, while AI-powered engines and web tools are enhancing operations in organizations ranging from finance to fast food.

Generative AI: A Catalyst for Changes

Generative AI holds vast potential to simplify tasks, dramatically cut selling and administrative expenses, and bring about revolutions in industries from healthcare to climate change mitigation. This vast pool of opportunities is matched only by the need for effective AI integration strategies, responsible use guardrails, and thorough skills-building initiatives within organiza


The rise of GenAI marks an exhilarating chapter in human history, filled with opportunities and challenges in equal measure. Harnessing its potential calls for concerted educational, legislative, and ethical measures. As GenAI becomes more integrated into everyday life and business, preparedness will be the key to thriving in this exciting new landscape.

Topics Covered in This Episode

1. The Growing Presence of AI in Various Fields
2. Concerns and Predictions about AI
3. Economic Impact of GenAI
4. Updates and Developments in AI Technology
5. Risks and Considerations in AI Implementation

Podcast Transcript

Jordan Wilson [00:00:16]:
If generative I if generative AI seems Too much to handle. It seems like there's too much going on, and you can never really keep up. You've stumbled onto the right show, the right podcast. What's going on y'all? My name is Jordan Wilson. I'm the host of Everyday AI. We're a daily livestream podcast and free daily newsletter, helping everyday people like you, like me, learn and leverage edge generative AI and how we can use it to grow our companies and to grow our careers. So today is is a little bit of a special Episode. If you're joining us on the podcast, thank you.

Jordan Wilson [00:00:53]:
Appreciate you tuning in as always. Make sure to check out your show notes. Some very helpful links in there today and every single day. If you're joining us live, you already see what we got going on. It is our 200th Episode. Yeah. 200, 200. That's a lot of episodes.

Jordan Wilson [00:01:12]:
That's a lot of talking about generative AI. We've had guests from all over the place over the course of 200 episodes from, you know, your large companies like Microsoft and IBM and NVIDIA and AWS To everyday people, to to to small business owners, to entrepreneurs, solopreneurs. And today's episode is celebrating All of them and just a resource for all of you. So we're doing a little bit of a different show today. So we're gonna be going over 200 facts, stats, and hot takes about generative AI to celebrate our 200th show. Alright. So as always, make sure to go to your everydayai.com. Sign up for the free daily newsletter.

Jordan Wilson [00:01:59]:
We're not gonna be going into all 200 of these, pieces in-depth in the newsletter. We would never be able to finish it today. But ad Make sure to go there because I'm gonna give you my 5 biggest takeaways from these 200 different facts, pieces of news, Hot takes, etcetera. And, hey, if you're joining us live like like Nancy, like doctor Harvey Castro, Tara, thank you for joining us, Mauricio, everyone. Let me know as as we go along. You know? I do wanna hear from you. What are As we talk about all of these different things, what are some of the most impactful that either have impacted your career the most, your company the most, Or you know what? We even have some brand new pieces of news in here. You know? Said we are gonna start this with the AI news like we normally do.

Jordan Wilson [00:02:50]:
We're just gonna sprinkle some news in there. So this is, Y'all, this is going to be a fast hitting show. We're gonna get through we're gonna start right about now, And it's gonna be fast moving. Alright? So if you are listening on the podcast and you want, to to to know a little bit more About all these, again, make sure to go to your everyday ai.com and sign up for the free daily newsletter. Alright. Here we go, y'all. We're gonna go. We're gonna get into our facts, stats, pieces of news, hot takes.

Jordan Wilson [00:03:24]:
200 of them. And let me know in the comments if you're joining us live, which one is impacting you the most. Alright. Here we go. Alright. Number 1, AI is going to take away many more jobs than it will create. Sorry. Not sorry.

Jordan Wilson [00:03:40]:
I'm the only one talking about this. We will lose jobs ultimately because of AI. Just hey. We're gonna start it off with stone stone cold hard facts. Number 2, ChatGPT prompts don't work compared to actually using them the right way. That's not how you use a large language model. Number 3, GPD 4 is about 3 times smarter than the average human. Yeah.

Jordan Wilson [00:04:03]:
People don't understand just how capable today's large language models are. Four, AI is not new at all. It's been it's been used in the business world for decades. Five, Jet AI can perform almost any knowledge and better than humans if you know what you're doing. Yeah. Big emphasis on if you know what you're doing. 6, this is y'all, this is a big one. I've referenced this a couple times on the show before, and I'm gonna spend a couple extra seconds on it.

Jordan Wilson [00:04:28]:
So a McKinsey study showed that GenAI may automate up to 70% of what employees spend their times on today. Think of that. If you're a business owner, if you're just starting off in your career, whatever it may be, think generative AI may automate up to 70% of what employees spend their time on today. Yeah. If that doesn't catch your eye, catch your ear on today's episode, I don't know what will. Let's keep it going. 7, 65% of generative AI users are millennials or Gen z. 8, piece of news here.

Jordan Wilson [00:05:02]:
Google is Getting rid of Bard. Don't worry, but they're just calling it now Gemini. So it may be updated this week with Gemini advanced, Voice chat and the 1st debut of Ultra. So when they first rolled out, you know, back then, Google barred, using Gemini Pro. So we may see Ultra this week, but you're not gonna see Bard anymore. So they're getting rid of the Bard moniker and just going with Ultra. Little confusing, but, hey. Google's Google's trying to get their get their AI game together.

Jordan Wilson [00:05:36]:
Alright. Number 9. The North American GenAI market holds a 41% revenue share compared to the rest of the world. 10. Some of the biggest players in GenAI are Microsoft, OpenAI, Google, Anthropic, Midjourney, Running, Runway, Hugging Face, Light Trix, Gleam, Stability AI, Descript, Inflection a Inflection AI, ad Cohere, Adobe, IBM, and Amazon. Yeah. So if you hadn't heard of the big names, there they are. 11, ChatGPT has more than a 180,000,000 users.

Jordan Wilson [00:06:03]:
Oh, got that 1 in there double. Hey. This wouldn't be complete if there wasn't 1 or 2 errors. That's how you know it's done by humans. Alright. 13, Microsoft 365 Copilot was the 1st major product that brought GenAI to the desktop. Alright. 15.

Jordan Wilson [00:06:19]:
After only 8 months of use, 70% of Copilot users said they were more productive. 16. 68% of Copilot users said it improved the quality of their work. Yeah. If you didn't if you missed this, Microsoft 365 Copilot was the first big flash of bringing generative AI to the desktop. 80% of customer service positions will be using GenAI technology this year. Alright. 18.

Jordan Wilson [00:06:44]:
Countless workers are using GenAI systems on different computer when their work blocks access. We're calling that 2nd computer AI. Yeah. If you're a business owner out there, a director, and if you, you know, if you're remote, work at home, your employees are using AI on a different device even if, Your company has barred it for some reason. Barred like Google. 19, microlearning and personalized learning with AI is already reshaping Learning and development in education spaces. Twenty, AI enabled robots have already been appearing in US workplaces. Yeah.

Jordan Wilson [00:07:16]:
They're here. 21. Large language models are technically just really advanced auto complete, but very powerful if you are skilled at prompting them. We always say when you start a new chat, as an example, inside chat gbt, that chat bows nothing. It knows both nothing and everything, and The output depends on you and your skills and the time you put into it. 22, early GenAI movers will likely gain market share and even acquire competitors. Talked about this in our very first episode of everyday AI. You're gonna see companies that have already been on the GenAI train for a while Leapfrog their bigger competitors and probably acquire them whether it's this year or next.

Jordan Wilson [00:07:59]:
Alright. 23, OpenAI launched the GPT store in 2024. If you missed that one. And in the 1st month, ChatGpT users had already created more than 3,000,000 GPTs. 25. Many GPTs are easy to hack. Yeah. They shouldn't have, released the GPT store as easily as they did, and easy to copy because you can simply ask for instructions.

Jordan Wilson [00:08:20]:
And if the GPT, whoever built it, do not properly, protect it. You can just take all of their configuration instructions and more. 26, many young GenAI start ups Have already shut down. Yeah. Already. 27. Well, keep it going here. Many, medium, and large GenAI start ups and We'll continue to die as big tech AI releases new features.

Jordan Wilson [00:08:46]:
Had a dedicated episode on this one back in November on why so many AI startups are going to die and continue to die. There's no moat. So, hey, if you're building a a startup right now and you're using AI or if it is an AI first start up. You gotta be careful. You have to be able to answer the question, what happens if Google releases this in Ultra or in Gemini. Sorry. What happens if OpenAI releases this in chat g p t? You need to be smart in building your start up. Alright.

Jordan Wilson [00:09:17]:
28. The the 6 largest US companies are all heavily investing 1,000,000,000 of dollars in resources into AI. 29. Gemini's Google's Gemini Pro model debuted with much controversy as its marketing release was somewhat staged. 30, Big tech companies have already become AI venture arms investing tens of 1,000,000,000 tens of 1,000,000,000 of dollars in other companies. 31, the majority of companies are excited about AI but are not training their employees. Deloitte, 32. Deloitte study said 79% expect GenAI to transform their company within 3 years.

Jordan Wilson [00:09:57]:
Also, I'd like to talk to the other 21%. Just wondering how GenAI cannot change someone's company Radically. Just means 21% of companies probably don't fully understand what generative AI is or how large language models work. Alright. 33. An study said 73% are concerned about their organization not offering sufficient training. Another stat in there, 83% of companies claim that using AI in their business strategies is a top priority. Alright.

Jordan Wilson [00:10:26]:
Skipping now to 35, 65 Percent of businesses say they use ChatGPT. Alright. Maybe some just aren't admitting. Alright. 36. Nearly 4% of companies Sorry. Only 4% of companies have implemented AI throughout their organization. Think about that.

Jordan Wilson [00:10:42]:
Only 4%. Top to bottom, AI implementation only 4%. So if you think you're behind, you're not. Alright. 37, two x. So AI investments yield 2 x, 2 times greater return on investment than non AI projects. 38. Hey.

Jordan Wilson [00:11:00]:
The New York Times, we talked about this many times. The New York Times claimed that OpenAI used millions of its copyrighted works, and they are suing OpenAI for 1,000,000,000 of dollars. And number 40, that case will likely be settled out of court. Alright. 41, the FTC is investigating big tech AI partnerships with big companies like Microsoft, OpenAI, Amazon, Google, making sure they're you know, it's remaining a competitive landscape. So, report on that should be out in a couple of weeks. 42. Google just recently announced its video AI model called Lumiere.

Jordan Wilson [00:11:38]:
Also, next next Fact here, Google just released AI image capabilities within Google Bard and its image f x tool using its imagine to model. Yeah. Y'all we didn't just work in hot takes and facts and stats in here. We are sprinkling in recent news. That's recent news. 44. Apple CEO Tim Cook confirmed that Apple will have a big GenAI announcement in 2024. That announcement is likely going to be large language model or generative AI capabilities coming to the next generation operating system, coming to Ios 18.

Jordan Wilson [00:12:13]:
That is at least now, scheduled to be the announcement coming at the WWDC conference in June. 46, Samsung. Hey. Speaking of that, Samsung beat them to the punch. Samsung was the 1st mayor player with an edge AI device in the Samsung s 24. So Talked about edge AI also pretty in-depth. That's on device AI. 47 key GenAI features in The s twenty four include circle the search, live language translations and AI powered images, and AI powered editing.

Jordan Wilson [00:12:47]:
48. ChatGPT mentions were just released to all paid users, and those mentions allow you to work with multiple GPTs in the same chats. And here we go. We got 3 of them in a row. Chat GbT teams was released in January 2024. 51. ChatGPT teams, if you didn't know, gives users a higher messaging limit, more data controls, and easier sharing. Yeah.

Jordan Wilson [00:13:13]:
So, If you're using ChatGPT plus, you get 30 messages every 4 hours. If you're using Teams or sorry. 40. If you're using Teams, you get 80. We got to 50 ish, so it's a water break. There we go. We're back to it. 52.

Jordan Wilson [00:13:31]:
Microsoft in January announced new branding in its Copilot lineup. Here we go. 53. So Microsoft Bing Chat is now rebranded to simply Copilot. And then for Microsoft 365 Copilot, the 300 seat, The 300 seat minimum limit, for its enterprise product was removed. Alright. So you got BingChat is now, Copilot. You got Copilot 365 enterprise version becoming a little less enterprise.

Jordan Wilson [00:14:00]:
And then you have, number 55 here, Microsoft CoPilot Pro was introduced and announced, bringing a more personal GenAI option to the operating system and to Mac users that use Microsoft apps. Yeah. You can, you know, if you have now Microsoft Word, Microsoft Outlook, Microsoft Excel, etcetera on your desktop. Even if you're a Mac user, you can use Copilot Pro and talk, but with Copilot between all of those apps. Pretty nice. 56, Runway announced multi brush, allowing users to add multiple points of motion. Yeah. That's a big one.

Jordan Wilson [00:14:37]:
57. Speaking of big GenAI companies, 11 Labs recently hit a $1,000,000,000 valuation for its text to speech service. 58. The US Department of Defense just updated its decades old AI policy in January. That one was very interesting that they hadn't updated it in Nearly 10 years. 59. Google Chrome just released a host of new AI features for its browsers. Sixty.

Jordan Wilson [00:15:04]:
The National Science Foundation, NSF, has teamed up with major tech players like Amazon, IBM, Microsoft and NVIDIA to launch the National Artificial Intelligence Research Resource Pilot Program. That's a mouthful. Nair, NAIRR. Alright. 61. Google Cloud just launched a new partnership with Hugging Face, Providing more access to open source models. 62, the European Union became the 1st major player with hard hitting AI legislation with its EUAI Act. Alright.

Jordan Wilson [00:15:39]:
63, speaking of copy, you know, countrywide legislation. This fall, the Biden White House did release an executive order on responsible AI use. 64, Amazon just released Amazon Rufus, Which helps shoppers find out more about products. So while you're using the app, yeah, now you got a large language model to talk to and, you know, in case you needed more reasons to spend more money on Amazon. That'll be rolling out soon. 65. Google DeepMind researchers continue to push boundaries with large language models And their math solving and math computation abilities. So they actually, Google DeepMind used large language models to solve a decades All the math mystery that no one could figure out.

Jordan Wilson [00:16:22]:
So when you say when people say, you know, AI, it's not creating anything new. It's just copying and pasting. It's Autocomplete, it's kind of true, but also not because you've had many examples of even just simple versions of large language models that we all use today, Actually creating new intelligence and discovering new things, solving decades old problems. So there you go. Take that fact and chew on it. Alright. 66. Meta is kind of abandoning the metaverse and shifting focus to AI.

Jordan Wilson [00:16:54]:
Alright. So what does that mean? Well, 67, Mark Zuckerberg announced Meta was buying more than $10,000,000,000 worth of NVIDIA GPU chips. Also, 68, Zuckerberg openly stated that Meta was working toward AGI or artificial general intelligence. That's essentially when AI becomes a little smarter than us, and they don't need us anymore. They can just write their own code and make themselves better. So, now You have Meta and OpenAI as the 2 juggernaut tech companies openly working toward AGI. Alright. 69.

Jordan Wilson [00:17:27]:
AI first mega cap companies have seen significant growth over the past 1 year. Alright. Here we go. We're rattling them off. 70. Microsoft, over the past year, stock price up 59%. Next, Google, stock price up 36%. NVIDIA.

Jordan Wilson [00:17:47]:
This is not a misprint. NVIDIA's stock price has gone up 213%. Oh, I told you guys 8 months ago that NVIDIA was one of the most important companies in the US. No one listened, Well, except for the stock market. So there you go. Alright. Meta's stock over the past year has also gone up a 154%. AMD stock, another chipmaker making all those chips we need for all those GPU chips that we need for generative AI.

Jordan Wilson [00:18:16]:
AMD's stock Price has gone up a 106%. That's a lot. Alright? That's the end of our little stock roundup, but, yeah, that's not normal. That's not normal. 6 months, you know, having companies go up 60%, a 100%, 200%. It's not not normal. Alright. Here we go.

Jordan Wilson [00:18:35]:
Number 75. OpenAI is already reporting 1,600,000,000 in annualized revenue only after about A year of its main paid product. Yeah. 1.6 Billy already. That's Billy with a b. Yeah. Alright. 76.

Jordan Wilson [00:18:53]:
Intel and the Boston Consulting Group just launched a new venture together called Articulate AI. I think we're gonna see a lot more of this, a lot more of, big tech companies teaming up with big consulting companies and branching out and creating generative AI research and consulting companies. Alright. 77, Windows has launched a copilot key on its new keyboards, the first major change in 30 years. 78 Google is launching Bard Advanced. Well, now it's called Gemini Advanced to compete with Microsoft Copilot Pro. So, Bartlett Vance reportedly will be working across Google's suite of products. That is if you have access to them.

Jordan Wilson [00:19:32]:
I get people reaching out all the time, myself included. If you're a smaller Google Workspace user, you probably don't even have the basic AI functions in there. So as I always say, Google, let's get that taken care of. 79. New report says GenAI could disrupt more than 200,000 jobs in the entertainment industry within 2 years. Alright. Eighty. Hallucination was named the Dictionary .com, word of the year for 2023.

Jordan Wilson [00:20:00]:
If you don't know what that is, That's when a large language model kinda makes things up or gives you a half version of the truth. And, hey. You know what? You can cut down on hallucinations By increasing the quality of your input and really training a model, working with it, talking to it, and not just putting in Long copy and paste prompts without much inside information that will lead to hallucinations. Alright. Eighty one, Microsoft formed an alliance with the AFL CIO in an attempt to create a dialogue on how AI will impact the work workforce. 82, White House AI Council formed under president Biden's executive order held its inaugural meeting To shape the future of AI and governance. That was pretty recently. 83.

Jordan Wilson [00:20:45]:
Hey. We're going worldwide here. Pope Francis, in a significant statement, called for A binding global treaty to regulate artificial intelligence. We haven't gotten there yet, but we have seen a lot of, multi country, multinational agreements On, best practices for AI and then, obviously, the groundbreaking EUAI Act. 84. OpenAI is actively developing tools to control and regulate AI systems that surpass human intelligence with their super alignment team. Yeah. If you heard about all that AGI talk and you're like, that's concerning, well, at least they have a team that's looking into it and trying to regulate it.

Jordan Wilson [00:21:24]:
So Don't worry when that AGI, finally does happen, which we see reports now all the time. It's, you know, oh, this is the first sign of AGI. Another another big pee paper like that, last week. So we don't actually know when AGI happens, but don't worry. There's a team at OpenAI keeping their eye out for us. 85. For the first time, a US government report has just identified artificial intelligence As a potential risk to the nation's financial stability. Interesting.

Jordan Wilson [00:21:56]:
I'm pretty sure that's one of the things I talked about on the very first of everyday AI a 199 episodes ago about how generative AI would actually be disruptive to the economy. It's almost like it took everyone else many months to to catch up and understand. Alright. 86. Runway has partnered with Getty Images to offer a legally secured text to video engine, and this collaboration addresses the growing need for AI tools that protect against copyright infringement. Eighty seven. Meta Platforms and IBM have launched a coalition with other with over 50 AI companies and research institutions called the AI Alliance. Yeah.

Jordan Wilson [00:22:36]:
This one's pretty big news. The 2 big partners in there are Meta and IBM, but as well as a lot of other, big tech companies, as well as research institutions across the world. So keep an eye out. I haven't seen any big news or announcements, but this is just, a month or 2 ago, so keep an eye out for this AI alliance from Meta and IBM. Alright. 88. Meta has launched Imagine with Meta, a stand alone AI powered web tool that lets users create images from text descriptions. Yo.

Jordan Wilson [00:23:09]:
We cover generative AI literally every single day here at everyday AI. And this was from a couple weeks ago, and I already forgot it. This is how much new, how many new products and how much new information, is coming out in this space. Eighty nine. McDonald's is teaming up with Google to deploy generative AI in its operations starting in 2024. We've actually seen a lot of, Fast food restaurant companies bring large language models to their drive through, a little smarter conversational AI, which works much better than those, You know, kind of AI robots that they were testing for, you know, drive thrus years ago. 90. Meta has introduced Purple Llama, A project linked to its Llama AI tool focusing on safety tools and evaluations for responsible AI development.

Jordan Wilson [00:23:57]:
So It's kind of combining your blue teaming and your red teaming. That's where you get llama purple. Alright. 91. Eighteen countries, including the US and Britain, have released a nonbinding agreement to prioritize safety and the development of artificial intelligence. 92. Pika Labs. Yeah.

Jordan Wilson [00:24:15]:
They're gonna make a splash. They've launched Pika one point o with a $55,000,000 fundraising round to compete with runway and others. So more on that here later. Speaking of big products coming, Amazon launched its Q chatbot helping AWS customers save time with and Generative AI and conversational AI. It's bringing all of your data from AWS into a conversational large language model. Alright. 94. Amazon also recently launched its AI image generator called Titan.

Jordan Wilson [00:24:47]:
Yeah. So many AI image generators, it's hard to keep up. Alright. Speaking of new products, 95. NVIDIA Recently unveiled the h two hundred, its latest high end chip designed for training AI models. Yeah. Obviously, big things coming out of. NVIDIA will actually be there.

Jordan Wilson [00:25:07]:
Oh, yeah. That's next month already. We'll be there at their GTC 24 conference. So If you're gonna be at the, NVIDIA conference in March in San Jose, reach out. Let me know. We'll be there broadcasting, Maybe broadcasting live, probably broadcasting live, but also just broadcasting out there in general. Alright. 96.

Jordan Wilson [00:25:27]:
US president Joe Biden and China and China president Xi are expected to sign a deal to limit AI use in nuclear weapon systems. Yeah. That's probably a good thing. Right? There's certain areas where we should always have a human, such as nuclear weapon systems. 97. Google has unveiled the AI opportunity agenda, a comprehensive plan for policymakers, companies, and civil societies worldwide To responsibly embrace and utilize AI. Alright. 98.

Jordan Wilson [00:25:57]:
XAI launched its 1st AI chatbot called Croc Inside of Twitter, now called x, and we're not sure if anyone actually uses it. Yeah. Sorry. I had I I had to get that 1 in there. You know? So many people were talking about when, you know, Twitter or axe, whatever you wanna call it, released its large language model that ChatGPT was going to go out of business. And at the time, I said absolutely no one is going to use this, just because the quality of the data from Twitter is obviously not very good. Right? Not very good. Alright.

Jordan Wilson [00:26:31]:
99. A major rum and spirits producer called Dictator did announce its new AI robot CEO named Mika, and And it's more marketing than reality. We've talked about this on the show, but, they were kind of one of the 1st major companies to, announce that they were putting an AI in in charge. Well, the checkup. There hasn't been a lot of, there hasn't been a lot of news out of, dictator in in Mika. Hopefully, they're still in business. Alright. Here we go.

Jordan Wilson [00:26:57]:
Halfway point 100. Open AI released GPT 4 Turbo and started rolling it out in partner products the past few months. Alright. We hey. We made it to our halfway point. What do you guys think as I tap tap in for a water break? Tara in unrelated news said PPP is the best. Yeah. Our prime prom our prime prompt polish Free PPP course.

Jordan Wilson [00:27:26]:
We got, 1 tomorrow and 1 Thursday. So if you wanna access, as always, just say PPP, message me PPP, Email me PPP. We'll send it to you. Alright. Hey. Josh here says that he expects a LinkedIn carousel For all 200 of these things. Well, luckily, we kind of already have it made here. I don't I don't know if, social media allows, 200 plus page, PDFs.

Jordan Wilson [00:27:52]:
We'll find out, Josh. Maybe we'll put it out there. Alright. Hey, Cecilia. Thanks for this. This is our little intermission brought to you by Everyday AI. Cecilia says can't believe that Everyday AI is already at 200 shows, Yeah. This countdown of 200 things to know are relevantly current news shows how quickly the AI industry is changing.

Jordan Wilson [00:28:11]:
Thanks, Jordan, for keeping us all abreast of what is happening. Yeah. Cecilia, one of the reasons why is, I did spend a I mean, we spent a lot of time putting this together, but also I wanted to make sure to get a lot of recent news. So, yeah, even in this 200 things to know, a lot of these things are less than 24 hours old. So, yeah, we do have Everything from stats and facts and hot takes to even some recent very recent news. Alright. Water breaks over, y'all. Are you ready? Did you warm up your coffee? We back? Alright.

Jordan Wilson [00:28:45]:
Here we go. Here's for the next 100. So 100 more things to know about generative AI as we celebrate our 2 hundredth show. Here we go. GenAI is using, so this is just simplifying it. Generative AI is as simply defined as using AI systems to generate something that didn't exist before. So I tell people think of a box. Right.

Jordan Wilson [00:29:07]:
So a bunch of easy inputs go into the box, and the box is generative AI, and it spits out something much greater, something much more impressive. So, You know, generative AI systems comes in a lot of different shapes and forms. You have your large language models, your AI image generators, your AI video generators, but essentially, It's different prompts, text prompts, video prompts. Audio prompts go into this generative AI box, and it spits out something much greater. It's the easiest way, but we're all now working on the explainability of that black box. Right? One zero two minutei GenAI models are trained on Millions of pieces of copyrighted works. Yeah. Talked about this in the show many times.

Jordan Wilson [00:29:46]:
There's gonna be more lawsuits than you can count this year. So speaking of that 103, right now, there are countless lawsuits from authors, publishing companies, artists, and other GenAI companies. Also related, number 104, traditional Internet surfing has become unbearable in 2024. Did an entire episode on the impact of AI and SEO and all of us browsing the web. It's terrible now. So one zero five, many publishing companies are signing 1,000,000 to $5,000,000 annual agreements with OpenAI to use their content. 106. Here's a little hot take.

Jordan Wilson [00:30:26]:
So here's the only 3 ways that this whole situation is gonna play out. So which we're talking about These AI chats, like your, ChatGPT, like your copilot, like your bard, all of these. Here's the only 3 ways it's gonna play out with these legacy publishing companies. Alright? Number 1, lawsuits. There's gonna be a lot of them. Maybe class action, maybe just tons of lawsuits like the OpenAI New York Times. Number 2, paid partnerships like I just talked about. And number 3, publishers getting shut down or getting acquired.

Jordan Wilson [00:30:59]:
Grim fact for 106. Alright. 107. It's estimated that 30% of outbound messages from large organizations will be AI or synthetic Synthetically generated by 2030. One zero eight. Chatbots are new. The 1st AI chatbot was technically MIT's and in the 19 sixties. Yeah.

Jordan Wilson [00:31:21]:
Chatbots have been around for 60 plus years, y'all, or almost 60 years. I think it was the mid mid sixties. Alright. One zero nine. AI deepfakes are getting increasingly realistic. So this just happened over the weekend. A finance worker just accidentally Paid out $25,000,000 for his company after the worker was duped on a video call of all deepfakes. Yeah.

Jordan Wilson [00:31:44]:
Went on a video call, And it was all deepfakes talking. And reportedly, this worker recognized it didn't really go to detail. That's why you gotta be careful. AIDpicks are getting very, very good, very high quality. So it's something to keep an eye on. Not just in the presidential elections, just everywhere. Alright. 110.

Jordan Wilson [00:32:05]:
By 2025, more than 30% of new drugs and materials will be Systematically discovered using generative AI techniques. Alright. Number 111. By 2030, a major blockbuster film could be released with 90% of the film generated by AI From the text of the video and everything in between. 112. GPT 5, whenever it is released, is expected to have better reasoning, better rationale and more multimodal capabilities. We broke that down, when Sam Altman went on Bill Gates' podcast and talked a little bit about that means. 113.

Jordan Wilson [00:32:48]:
Over the next few years, generative AI is expected to cut s g and a, which is selling and General and administrative costs by 40%. Yo. If you can't get on board with the up to 75% time or 70% time savings from the McKinsey report. How about, this study that showed GenAI is expected to cut selling general and administrative costs by 40%. You don't like time? Don't like money? Alright. 114. Here's the top 10 GenAI sites. Yeah.

Jordan Wilson [00:33:20]:
We have countdowns within countdowns. Here's the top GenAI sites generating most traffic. Ready? So we have ChatGVT, Character AI, Bard, Poe, Quillbot, PhotoRoom, Sabate AI, Midjourney, Hugging Face, and Perplexity. Bunch of big names there. Hey. Speaking of Hugging Face, we gotta get them on the show here. But they just this is brand new news, y'all. They just launched Hugging Chat Assistant, Which is the open source alternative to OpenAI's GPT builder and GPT store.

Jordan Wilson [00:33:52]:
So, yeah, if you don't know what Hugging Face is, Think of it as an open source version of ChatGPT where you can go choose your model. You know, there's all of these different, open source models from different purposes. Some are large models, some are small models that are maybe, made for one specific purpose. But hugging chat assistance just launched on the Hugging Face, ecosystem there, so go check that out. 116. More than 2 of 3 say generative AI will help them better serve their customers. Got some stats now, y'all. 117 GenAI powered chatbots are resolving customer issues with a 95% satisfaction rate.

Jordan Wilson [00:34:30]:
Not terrible. Not terrible. Right? 118. GenAI is writing bug free code 10 times faster than human programmers. So, yeah, these, studies and stats are coming from a lot of different studies. I'll also I'm not citing them all. Alright. 119, GenAI is assisting in drug discovery, Medical imaging analysis and personalized treatment plans revolutionizing health care.

Jordan Wilson [00:34:52]:
Talked about that with many great health care guests on the show before. Alright. Number 120. GenAI powered tools like text to speech and speech to text are improving accessibility for individuals with disabilities. Some we don't talk about enough is just, how much generative AI is helping people, with disabilities or people with, Learning disabilities or just people who learn a certain way. I think it's doing great for learning and accessibility. Alright. Let's keep it going now.

Jordan Wilson [00:35:23]:
121. 75% of professionals expects that generative AI will cause significant or disruptive change in their industry. 122, McKinsey estimates that generative AI could add as much as 7,900,000,000,000 annually to the global economy. That's a lot of money. 123, generative AI liberates humans, if you didn't know this, from mundane tasks, enable and enables you to focus on emotional intelligence, creativity and create critical thinking. 124. Gartner sees generative AI Becoming a general purpose technology with the impact similar to that of the Internet or electricity. You know? Yeah.

Jordan Wilson [00:36:04]:
That's pretty big pretty big impact, but guess what CEO said it's actually gonna be more impactful. That's Google CEO Sundar Pichai Who said that the AI will be more said that AI will be more important than fire or electricity. If let me just go ahead and pause. If you think AI and generative AI is a phase, if you think it's going to follow this this normal, and hype cycle, and we're in this 18 months of disillusionment. I'm telling you right now, you're wrong. It's not how AI works. That's not what AI is. That's not what AI can do for us all.

Jordan Wilson [00:36:40]:
AI is essentially just how powerful and impactful the Internet was and how we've all come to realize that and How our businesses have come to adapt to that over the last couple of decades. AI is going to do the same over the course of a year or 2. Yeah. More important than fire or electricity. How crazy is that? 126, GenAI is designing new materials with unique properties 20 times and Faster than traditional methods. 127. GenAI models are predicting and mitigating climate change. Yeah.

Jordan Wilson [00:37:10]:
I talked about that a lot on the show. By analyzing vast datasets and suggesting solutions, that's one of the huge benefits about generative AI, especially when it comes to data analysis is that can just do so faster than humans. Right? If you use the right model for the right purpose, provide the right training, it can gobble up data like I gobble up cereal for dinner just fast. You look and you're like, where did that cereal go? Same thing. You're looking like, where did that data analysis go? Generative AI just gobbled it up. 128. Here's the fact. X x x x x.

Jordan Wilson [00:37:41]:
Forgot that one. Hey. I'm human too. 129. We'll have to give you an extra fact in there. 129. Google just upgraded its, Google Maps with large language model capabilities. Alright.

Jordan Wilson [00:37:53]:
So better, better natural language processing now that we have large language models, rolling out in Google Maps. 130 through August, more than 15,000,000,000 AI created images have been generated using Stable2fusion, Adobe Firefly, MidJourney, and DALL E. That's the last official study there's been was in August. So, presumably, we're looking at probably 3 3 times that amount. I think we're probably nearing 50,000,000,000, I would assume. Alright. 131. 60% of AI musicians are already using AI to make music in In some capacity.

Jordan Wilson [00:38:29]:
That's an interesting fact, whether they're using AI, to mix audio, to create audio, to create lyrics, 60% in one study. Pretty big there. Alright. 132. By 2025, over 30% of newly discovered drugs and materials will be created using generative AI techniques. 1 thirty three. 95% of developers admit to using AI to produce new code for software applications. Hey.

Jordan Wilson [00:38:54]:
Shout out to those 5% of developers who did not admit to using AI. Love that. Going old school. Alright. 134. Retrieval augmented generation or RAG will be one of the most talked about AI topics in 2024. It's essentially when you combine large language models with a better way to integrate your data or your database. 135.

Jordan Wilson [00:39:17]:
Major tech companies and universities such as Anthropic, Google, and Stanford are studying AI agents. Alright. 136. Explainable AI or what some people call XAI for generative a m AI models. Just wanted to say what this is. Ready? So that means, these interpretable models will emerge, allowing users to understand the reasoning behind generated outputs And to mitigate bias issues. So you're gonna be hearing a lot more as more and more companies are starting to use generative AI and their companies. You're gonna be hearing a lot more About explainable AI or what some people call XAI, not to be confused with Elon's Musk company XAI.

Jordan Wilson [00:39:58]:
Alright. 137. Generative AI will be integrated into everyday applications such as spreadsheets and word processors. We're already seeing that, with Copilot Pro. But, you know, we're expecting to see that even soon, probably whenever, you know, Apple updates its next Operating system. We expect whatever is coming up to Ios for mobile will eventually make its way to their OS, their operating system. 138. 2024 will be the year home assistance finally get smart.

Jordan Wilson [00:40:30]:
Siri and Alexa finally getting some help From large language models. 139. Multiple big tech companies and start ups have been working on AI watermarking tech, But we don't think it'll stick. Yeah. Much big companies have been working on ways to watermark AI images. Don't think it's gonna stick, but still, in the short term, probably provides a nice solution. 140, implementing generative AI in your business today is one of the hottest topics. Ready? Here we go.

Jordan Wilson [00:41:02]:
So 141, talking about the EU AI Act, the Hiroshima AI process, and The White House executive order on AI and the White House select committee on AI are all great resources and guidelines for guardrails for AI implementation. So You need to know about safeguarding, guardrails, AI governance, those, the EU AI Act, Hiroshima AI process, White House executive order on AI and the White House select committee, all great resources for that. 1 forty two, companies don't need. Little bit of a hot take here. Companies don't need their own large language models in most cases, not all, in most cases, and they should instead focusing They should instead focus on measurable wins in areas with a quantifiable impact. Y'all, I'm not kidding. I've seen so many big companies Say that their 1st big generative AI endeavor is creating their own large language models. I'd say for the most part, That is a recipe to fail.

Jordan Wilson [00:42:02]:
Again, I can't say that across the board, but I think in most cases, that's a recipe to fail if your company's 1st big generative AI, Endeavor is creating your own large language model. It is long-to-do. It is expensive, and it is hard to find the talent. 143, sprinting toward the 1st measurable AI project helps minimize AI risk and tells the story of real world results. That's the way you should be doing it. 144. Investing heavily in GenAI education and training aligned with long term business goals is an ongoing and iterative process. A A lot of companies think that this is you know, investing in AI is one time.

Jordan Wilson [00:42:41]:
It's not how it is. Think of, like, software updates, but think of those software updates Happening like daily or weekly. You have to be constantly relearning and reinvestigating. 145 companies need to gather insights from a ground up committee and And sprint toward their 1st measurable AI project to achieve quick and measurable wins. This is from our, episode some takeaways from our episode last week on the 5 simple steps and Actually integrate generative AI into your company. 146, the implementation of generative AI should be approached carefully, Focusing on ethical decisions and considering guardrails. Yeah. You need to take in ethical decision making and having open transparent conversations before you integrate generative AI because you gotta say what happens when it works.

Jordan Wilson [00:43:29]:
Do we replace 70% of people? Do we try to create new jobs? You have to have those conversations. 147. Generative AI excels with unstructured data and And provides insights and summarization tasks well. Yeah. So, obviously, AI, has been used widely in many industries, but with structured data. You know, that's data that can be easily categorized, but where large language models come into play is being able to quickly, make sense and to create new, Content around unstructured data. Right? So that's literally everything else. That's me talking.

Jordan Wilson [00:44:04]:
That's unstructured data. You can't necessarily categorize that. So That's where, generative AI and large change models really excel. 148, talked a little bit about explainable AI. Here's a little more. It's crucial We're building trust with users by opening up the black box and showing them how the AI engine came up with recommendations. So, yeah, If you are working in AI into your product or service with, paying clients or customers, you need to work on explainable AI to develop trust. 149.

Jordan Wilson [00:44:35]:
Ethical AI implementation requires engaging with employees to understand their concerns and fears As well as carving out intentional space for them to have a place in the company's future. 150, Involving students in the development of AI policies and education here. Now we're talking with higher education is crucial for fostering a culture of shared Responsibility and inclusion. 151 sticking in education. AI detection tools don't work. They're fake. They're not effective in keeping AI out of the classroom, and colleges need to find more practical long term strategies for coexisting with AI. These tools do not actually work.

Jordan Wilson [00:45:17]:
There's a reason OpenAI shut their AI content detector down even when OpenAI announced their content detector. Many months ago, I said this isn't gonna last because that's not how it works. I think that was in part a good marketing move, to show people, oh, yeah. It's okay. You can use Content from here. Just try this AI content detector. Even open OpenAI's was, I believe 26% accurate, which as you can imagine is much worse than a coin flip. So if you're using those, I would suggest not to use them.

Jordan Wilson [00:45:49]:
153. Using AI driven solutions like ChatGPT's data analysis mod mode can reveal powerful marketing insights. Y'all, when you are using ChatGPT, make a call and say using advanced data analysis, upload your spreadsheet, make sure there's no private information in there, nothing sensitive. But even ChatGPT, if you call on advanced data analysis, It can compute so quickly, save you so much time. Alright. 154. Neuralink has reportedly successfully implemented a telepathy chip in In a human brain, which enables control of technology using neural signals. Yes.

Jordan Wilson [00:46:26]:
This happened about 2 weeks ago. Chip on someone's brain And being able to communicate with the device by the brain chip. Science fiction, no more. We are here. 155. The ground up approach when we're talking about AI implementation, that's the way you need to do it. Ground up approach means involving, you know, members on an AI committee from all across all different departments, all different levels of seniority, And that helps bring in transparency, safety, and alignment when your company is implementing AI. 156, more on AI guidelines, and they need to be Created with guardrails for responsible use.

Jordan Wilson [00:47:05]:
Yeah. We've talked about guardrails multiple times in this 200 things to know because it's worth repeating multiple times. 157, companies should focus on quick and measurable wins. 158, large scale AI projects are risky It may not work as intended. Yeah. Again, if your 1st project is something big, and I'm not saying, oh, just Creating your own large hangers model. If your 1st GenAI project is something huge, that is risky. Your company and your employees need to build up those skills before tackling a large department wide GenAI project.

Jordan Wilson [00:47:43]:
Alright. You can't expect something like your 1st endeavor if it's huge. You can't expect it to work if your employees do not have their paces in. Right? 159. Using ChatGPT and a company's public data is a quick and easy way for companies to win back time. Most companies, They they just write off ChatGPT and other large language models because they you know, they're concerned about their data, which I understand. But here's the thing, y'all. So many big companies have so much of their data is public.

Jordan Wilson [00:48:14]:
Right? Public companies have to disclose So much data and publicize it online, and so many companies aren't even aware of the amount of information they have that's online. So, hey, if you're one of the few companies that is still holding off on ChatGPT, stop it. Or a large language model, stop it. Right. You obviously need to learn how to use it the right way so you can take our free prime prompt polish course. Just again, message us PPP. But if you use a A large language model the correct way. And if you understand how to feed it data and how to train it, You're gonna save a crazy amount of time.

Jordan Wilson [00:48:51]:
I even think the 70%, that, you know, the McKinsey study, I think it's low. I've talked about this many times before. I'd say it's easily 75 to 80%. 160. Here we go. Large language models can help you make Meetings more meaningful by optimizing the output and enhancing the quality of interactions within meetings. If you're not using some sort of AI assistant for your meetings, you should be. 161.

Jordan Wilson [00:49:15]:
LLMs can personalize long form content to resonate or to to resonate with diverse audiences by synthesizing extensive content and facilitating the creation of bespoke learning experiences using ChatGPT. That was a mouthful. In other words, personalized learning. Do it. Alright. 162. And Large language models can help you read and respond to emails by parsing and responding to them, streamlining the process, and enhancing communication and efficiency with ChatGPT. We had a whole episode on how you can use GenAI to read and respond to your emails.

Jordan Wilson [00:49:52]:
If you're using Microsoft Copilot, You're probably already seeing this, but there's so many different tools. So we'll we'll try to, include that here in the show notes. 163 large English bottles can give you new capabilities and competitive analysis by automating the synthesis of comprehensive competitive analysis. It's something I Love using ChatGPT with plug ins for is getting ChatGPT specific URLs. It could be of competitors. It could be industry white papers, etcetera, And then having it run SWOT analysis or competitive analysis, something super powerful and super time saving. Alright. 164.

Jordan Wilson [00:50:32]:
Large language models can make data analysis and graphing simple by effortlessly generating analysis and graphical representations from complex datasets. I did you know, every single day, if you don't watch our YouTube channel, you should go subscribe to it. But I did a 5 minute video once that showed how quickly ChatGPT could analyze a spreadsheet that had thousands of rows of data And to pull out analysis, and this is the same thing that a lot of management consultants do. So, yeah, You should you should be doing that. Alright. 165. Large language models can elevate presentations with AI generated content by facilitating the seamless generation of content and speaker notes. 166, we're powering home.

Jordan Wilson [00:51:17]:
We're powering home, y'all. Alright. So one sixty six of our 200 things to know about GenAI to celebrate our 200th show. Generative AI doesn't sleep, take breaks, or need vacations like humans do. Not that you needed a reminder on that, but generative AI can especially now that, you know, we're seeing agents, you know, programming things on your computer. You can have AI working for you literally 247 without taking a break. 167. Most companies outside of the Fortune 500 do not need to build their own large numbers models.

Jordan Wilson [00:51:50]:
I kind of already referenced this, but I'm just putting a actual fact statement. If you're not in the Fortune 500, there's a very low likelihood that you need your large language model. So I'm not saying that you need your own. I'm not saying that you shouldn't because I can't speak for everyone, but with rag now and the affordability of these models that everyone else is using, It's really not a great option for most companies. 168. Most people have no clue how a large language model like ChatGPT even Works. You know? They're not as simple as you may seem. I could talk for literally 3 hours about how large language models work, the process of in increasing your inputs, the different modes, how the different modes work, memory, across different modes.

Jordan Wilson [00:52:38]:
It's not as simple as just, oh, here's a big prompt I found on the Internet. Let me put something in. If you do that, your results are gonna be meh, Not very good. Large language models are actually very complex even though they seem very simple in a simple interface. 169, large language models. Speaking of that, They don't actually read or write words the same way that humans do, so they actually tokenize everything and convert words to tokens and tokens to words. Yeah. Did an entire episode on tokenization too, by the way.

Jordan Wilson [00:53:09]:
Alright. 170. Most people misunderstand that large English models quickly run out of memory and start hallucinating. Yeah. It's usually when hallucinations occur. From being honest, It's operator error. Right? If you're 0 shot prompting or 1 shot prompting, you're gonna get hallucinations. You need to be sharing.

Jordan Wilson [00:53:30]:
I tell people when you're working with, a large language model, you need to narrow your scope because a 2 trillion Parameter large language model is bound to hallucinate. So you actually have to narrow the scope when you use it to make sure that you are not getting hallucinations. 171. Most people using LLMs assume the models know what they're talking about and skip over priming their chats, and that obviously reduces the quality of their outputs. 172, ChatGPT with plug ins, and now the ability to at mention GPTs within plug ins mode is still the most powerful GenAI tool available to everyone, period. And it is not even close. Also, yes. Here, bonus fact for that one I forgot, I think, on 128, but it is rumored that OpenAI is going to be phasing out.

Jordan Wilson [00:54:22]:
Not really rumored, kind of confirmed or insinuated, but that OpenAI will be phasing out plug ins pretty soon in lieu of GPTs. Alright. 173. Midjourney is leaps and bounds above the other AI image generating models right now just like how I think ChatGPT 4 with plug ins is leaps and bounds above every other large language model. Midjourney is really leading the pack there. 174, ChatGPT, Microsoft Copilot, and now Microsoft Bard can all produce or sorry. Microsoft Gemini or what do we call it now? It's still Bard today, I guess. But they can all produce AI images in the chat pane.

Jordan Wilson [00:55:00]:
So, yes, when Bard, announced that late last week. I think within an hour of the announcement, we already had a tutorial video up. So if you wanna, go check that out and how you can create images now within Bard, Copilot and chat g p t. 175, the AI video model space is gonna heat up in 2024. Talked about this. Had a dedicated show on this actually between, Runway, Pika Labs, Google's new product, which is Lumiere. Meta has their model called Emu Video. Y'all, I don't think people understand how good these models are getting and how and quickly and how hard it is to tell or how hard it will be to tell, the difference from real to fake, especially when you can upload a photo into these video models.

Jordan Wilson [00:55:46]:
Alright. We got our top 25. Here we go. Let me know. Hey. If you're still with me, let me know. I always like I always like to hear. Who's who sticks around? Maybe you're, you know, working and I'm just distracting you in the background.

Jordan Wilson [00:56:02]:
Alright. Here we go. 176. Runway has been the leader in the AI video space, and Peekah one point o is trying to catch up with them as and I mentioned the other 2 as well. With Google and Meta both announcing AI video models, so the space is gonna be pretty competitive. 178. We will see and Full short AI generated ads being commonplace in online ads and even probably debuting in commercials by the end of this year. That's right.

Jordan Wilson [00:56:29]:
I'm calling it out. You are going to be seeing AI video in full length commercials, and you may not even be able to tell the difference. 179. We feel that Gemini Ultra may steal some of the thunder when it's released here, Shortly. You know, supposedly, it's gonna be released here, this week, but we do think that GPT 5 will be so far ahead. Right. Because even Gemini's middle model, their pro, was testing under GPT 4, which is, you know, 18 months old. So, we do feel that Gemini Ultra, once it is fully released in the wild and benchmarked, it is going to be very impressive.

Jordan Wilson [00:57:06]:
But whenever, g p t five technology comes out, it will I'm not gonna say it'll make, Gemini Ultra useless, but it will be much more powerful, presumably. At least that's our take. Alright. 180. Wall Street Wall Street hates employees and will continue to reward enterprise companies who cut jobs And invest into AI. 1 eighty one, prompt engineer was a hot job of 2023, And we see these jobs as being hot jobs in 2024, the head of AI or chief AI officer. So we see those roles being, Much more commonplace and being, really I'm not gonna say popular, but I'm gonna say needed. Right? Because, yeah, prompt engineering, whatever you feel about the term, you know, everyone is gonna be doing some sort of prompt engineering in their role, But I think, it's very important for larger companies if you have a c suite.

Jordan Wilson [00:58:10]:
If you have 50 or more employees, You should have someone in charge of AI. It's not everyone's job. It is everyone's job, but you need you need someone overseeing it all. You can't just throw this on your IT to IT team or your CTO, you need someone who is just in charge of AI. 182, US And universities are doing an incredibly bad job at readying students for the new AI first workforce. Here, I will say this. I'm talking the middle middle 80%. Right? Because there's the 10% that are ahead in crushing it and doing the right and responsible thing by changing their curriculum on a dime.

Jordan Wilson [00:58:49]:
Then there's the 10% who literally are still banning it. I'm talking literally everyone else in the middle. All these schools, all these universities are doing a poor job. Because number 183, the workforce will not be able to find enough qualified workers trained on AI. So they'll hire underqualified applicants because of FOMO. Right? They're gonna put, applicants out. You know? AI GenAI skills are the most in demand job and out there right now, yet our colleges and universities are not teaching this across the board. So what does that mean? That means that Our businesses are going to suffer.

Jordan Wilson [00:59:25]:
Our economy is going to suffer because of colleges and universities in their archaic thinking. Yeah. I had to I had to think a little bit of a hot take in there. There's people out there doing it correctly, universities out there doing correctly. You know, I'm even, you know, working working on, you know, some AI, programs and certifications with some, universities, But so many universities are dropping the ball on this. 184. Generative AI can be more creative than humans. Yeah.

Jordan Wilson [00:59:56]:
You're not gonna like that, creative people. You're gonna argue with me. I did an entire episode on this. It can be more creative than humans, period. 185. Some of the most underutilized areas for GenAI are ideation, consultancy, data analysis, and competitive analysis. Those are my picks. I think those are huge wins.

Jordan Wilson [01:00:16]:
Aside from, like, meetings, right, and and emails, I'm saying, kind of more, More creative work, more work that you would, think that a GenAI system couldn't help in. Those are areas, ideation, consultancy, data analysis, and competitive analysis. Huge. 186. AI will create chaos and crazy amounts of disinformation around the 2024 election cycles. Y'all, I've been saying this since last year. We've seen a couple small splashes. It's gonna get bad.

Jordan Wilson [01:00:52]:
It's gonna get bad probably next month with the primaries heating up. But when the general election comes Come September, October, November, you're gonna be seeing, hearing, and reading things every single day that you are not you're gonna believe that they're true, and so many of them are not going to be true. It's it's gonna be bad. All I'm saying is As individuals, you need to be very vigilant about what you're sharing, what you're reading, what you're believing, because it's very hard, to decipher between what's real and what's fake. 187. No meaningful US legislation that is far reaching will be passed into law before 2026. That is little bit of a hot take, but it's not going to happen. Right now, generative AI, is too important for the US economy.

Jordan Wilson [01:01:40]:
So if we talk about the magnificent seven, those are, you know, the big, big, mega cap $1,000,000,000,000 companies, right, or, and You know, $1,000,000,000,000 companies here in the US. This is why there won't be any meaningful US legislation because any meaningful US US legislation Would likely thwart their growth. Right? And you had essentially big AI tech was responsible for more than 70% of the S and Ps gains in 2023. So whether you wanna admit it or not, these big tech companies that are focusing on AI are propping up The American economy. That is why there will not be any meaningful actual legislation, I think, Until 2026 or after. 188, GenAI could add the equivalent of 2,600,000,000,000 to 4,400,000,000,000 to the global economy. So different studies show different estimates. 1.89.

Jordan Wilson [01:02:33]:
US investors injected $170,000,000,000 into start ups into 2023, Which is actually down from 2022. Interesting point there. 1 90, 75% of generative AI users are looking to and Automate tasks at work. That's what the overwhelming majority of people want to do is they just wanna automate tasks, which is great. But, again, think of those other categories That GenAI can really help in, ideation, problem solving, consultancy, data analysis. It's it's more than just automating tasks. 1 ninety one, GenAI can help you automate the mundane. Yes.

Jordan Wilson [01:03:10]:
It can. So then you can focus on the meaningful. 192. There are dedicated GenAI programs for just about every aspect of work from research and analysis to writing and designing. So, yeah, As an example, if if you're an accountant, there's GenAI there's GenAI tools for that. If you're a lawyer, there's GenAI tools for that. If you're, you know, in financial restructuring, there's GenAI tools for that. So, people a lot of times just think, oh, I have to go make, You know, ChatGPT worked for me, which is not a bad move, but there's there's different tools out there.

Jordan Wilson [01:03:43]:
You just have to always be careful about The longevity of whatever, company or tool, if it's a start up, you should be especially careful, because at any point, they should they could shut down. 193. 73% of people are concerned about their organization not offering sufficient training and education. 194. 72% of organizations lack the skills to properly implement AI use. Again, some stats we talked about last week. 1 ninety five. Stop following these Billy boys online, these 20 year old ChatGPT experts.

Jordan Wilson [01:04:22]:
Here's why. Their prompts don't work. They're just don't buy don't buy a prompt book, please. I'm begging you. You need to understand how to properly use a large language model, and using other people's copy and paste prompts is not the correct way. I I tell people like this. This is how important it is to learn proper prompting. If you were 25 years ago, If someone was to come to you and say, oh, you need to learn how to use the Internet.

Jordan Wilson [01:04:50]:
Yeah. You're yeah. You're right. I need to learn how to use the Internet. How do I learn how to use it? Oh, well, here's here's a spreadsheet, and here's my 10,000, links that show you how to use the Internet. No. You you learn the Internet by using it. Alright? So you are not gonna learn generative AI.

Jordan Wilson [01:05:10]:
You're not gonna get much Out of chat gbt, if you're just relying on people's copy and paste prompts, that's not how large language models work. 196. If you aren't already using GenAI in your job, you likely will be by the end of the year. Yes. GenAI is coming to the operating system. Here in Microsoft Windows with Copilot, and we will expect, you know, I think iOS for Apple is gonna be first, but I do expect, similar Jet AI capabilities to come to the actual Mac operating system as well. One ninety seven. Here we go.

Jordan Wilson [01:05:43]:
Our last couple. AI is coming for a lot of jobs. You don't wanna hear me say that, but that's the truth. That's the reality. So Stop paying attention to the BS saying of AI won't take your job. Someone using AI will. That's crap. Of crap.

Jordan Wilson [01:06:00]:
Because that person using AI that will take your job will also take 5 to 10, 15 to 20 other jobs. Alright. Yes. New AI jobs will be created. But, however, the the AI job creation space, at least in the short term, is not going to be anything like the number of jobs that AI is going to disrupt. I always tell people follow the leads of what big tech companies are doing. Right now, They're investing all of their money and all of their people resources into AI while at the same time laying off tens of thousands of people. This is just in January.

Jordan Wilson [01:06:34]:
Alright. So it's not to scare you. That's to say the best way to grow your company and to grow your career is by using generative AI every day and exploring it. Alright? Yeah. Now we're getting on, you know, on my, old man old man Wilson shaking the fist if you made it this far. If you're worried About what AI is going to do to your company, to your sector, to your department, to your own job. The only thing that you can do is use it. Use it daily.

Jordan Wilson [01:07:10]:
Push the boundaries. Alright? Because if you do that, if enough people on your team do that, if enough people in In your organization do that. If enough companies within your sector do that, you will still grow. You will grow, but you have to push forward, and you have to lead and using these tools. Look at that. Y'all, I'm leaving you on a cliffhanger because for some reason, My last 2 slides did not export, but don't worry. I got 199 and 200 for you. That's kind of funny.

Jordan Wilson [01:07:42]:
Alright. So 199. Apparently, the the maximum, slides you can upload is 200, and I had a title slide. Alright. So 199. The best way to do that, the best way to keep up with generative AI is right here. Tune into our podcast every single day. Turn into our live stream and ask questions.

Jordan Wilson [01:08:02]:
Read our newsletter every single day. Right? I tell people everyday AI, it's like a free generative AI university. I just got a nice message from someone this morning and said, hey. Like, What the content that you put out has helped me grow, or is is helping me launch my startup. And thank you for all those messages, by the way, people that reach out, but that's the best way to do this. Every single day, tune in. We bring you experts. You ask questions.

Jordan Wilson [01:08:28]:
You learn. You grow your company. Grow your career. Alright. And then number 200. You know what? Let's see if I can do this here. I do have it up on, there we go. See, I had a backup, kind of.

Jordan Wilson [01:08:48]:
Alright. So number there we go. There we go. Alright. So number number 199 was The best way to do that is tuning into our podcast live stream and newsletter. I know some people it's like if if you see the slides up through 198 and I don't show you the last Two slides you're gonna be like, oh, no. Alright. And last but not least, number 200.

Jordan Wilson [01:09:09]:
Together, we'll all outsmart the future with everyday AI. That's what we're all about here. We're about helping you grow your company and grow your career with generative AI and doing it altogether. That was it, y'all. I know this was a super long episode, but there you go, 200 facts, stats, News pieces and hot takes about the state of generative AI today to celebrate our 200th show. Thank you all so much, not just for tuning in to this very long show, but also thank you so much for your support. Thank you for your messages, Your emails, your ideas. Right? Like, y'all, we, like, we spend so much time listening to you all.

Jordan Wilson [01:09:55]:
Like, tell tell us what you need. I literally started everyday AI for all of you, to help you understand. I don't think that that AI Skills and AI education should be marketing. Right? It shouldn't just be for 1 big company, or it shouldn't be full of, you know, upsells and, you know, like, all of these these marketing schemes. I think GenAI education is something we all need. I truly believe. Unfortunately, At least in the short run, GenAI is is is going to be disruptive in a bad way, but I think that together, We can all learn and grow together and rebound. Alright.

Jordan Wilson [01:10:42]:
So if you haven't already, Make sure to go to your everyday AI .com. Sign up for that free daily newsletter. Y'all, thank you so much. 200 episodes. Can't wait for the next 200. Thank you so much. We'll see you back tomorrow for more everyday AI. Thanks, y'all.

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