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How to Equip Your Business for AI in 2025
In an era where AI continues to make massive strides, it's crucial for businesses to stay ahead of the curve. The evolving AI landscape requires an ongoing understanding of emerging tools, changing regulations, and the global paradigm shifts anticipated in 2025.
Embracing Non-Techie Software Development
One of the most significant breakthroughs in AI technology will be the ease of generating software. It's projected that by 2025, even individuals with minimal technical background will create their own software applications. Thanks to the integration of large language models with natural language processing, constructing an application can be as simple as typing or speaking prompts. These advancement will shortcut traditional coding processes, democratizing software development for a broader audience.
Understanding the Rise of Reasoner Rappers
As we approach 2025, we might witness the rise of "reasoner rappers," a new class of AI tools that bring together structured and unstructured data to make more informed decisions. These new models have thinking mechanisms that take the concept of business decision making to the next level. It's like a "thought tree" that can go through a company's decision-making process, potentially revolutionizing business procedures.
The Resurgence of Virtual Machines
Virtual machines are expected to become trendy again due to the advent of “agentic AI,” where AI has access to the full functionality of a working computer. This resurgence is tied intrinsically to advanced AI workflows that emulate or require active use of a computer system, creating an amplified need for potent virtual machines for seamless operation.
AI and Politics: An Emerging Nexus
With an increasing presence of AI in government functions, AI is positioned to get entwined with politics. This potentially brings additional scrutiny to AI applications, creating new layers of complexity for companies looking to leverage AI technology. Staying updated on these advancements will be essential to navigate the AI sector in the coming years.
Global AI Regulation Tightens
Finally, as AI becomes an integral part of various industries, countries around the world are initiating their own AI accountability laws. From the EU imposing fines for non-compliance to Canada and Singapore establishing stricter regulations, the AI world is set for a regulatory overhaul.
Staying ahead in the AI game is not just about adopting new trends but also understanding the changing landscape and regulations. Harnessing the potential of AI requires both a strategic approach and the ability to adapt to rapid changes in technology and societal norms. The right knowledge and agility can ensure your company doesn’t just survive, but thrives in the wave of AI evolution anticipated by 2025.
Topics Covered in This Episode
1. Non-techies Gets Smarter
2. Reasoning wrappers
3. Virtual machines
4. Politicization of AI
5. Global AI Regulation
Podcast Transcript
Jordan Wilson [00:00:17]:
You're not comfortable yet, are you? I'm talking about when it comes to how you're using AI tools, large language models, but you're finally into your groove. Well, that might actually be bad news. Because over the last few weeks and in the next few months, things are going to drastically change. Alright? And today's show is part of our ongoing series, but specifically, we're gonna be tackling your complete AI toolkit, tools, rules, and global changes. So how you approach generative AI in your work, it's gonna change pretty quickly. Alright. And I'm excited to talk and continue our ongoing discussion. This is volume 4 of 5 of our 2025 AI predictions as we are laying out the landscape for 2025.
Jordan Wilson [00:01:18]:
Alright. I'm excited for this one y'all. I hope you are too. What's going on? My name is Jordan Wilson. Welcome to Everyday AI. This is for you. It's your daily livestream podcast and free daily newsletter, helping us all learn and leverage generative AI to grow our companies and our careers. Is that what you're trying to do? You're trying to be the smartest person in your company or your department when it comes to large language models, AI, well, welcome.
Jordan Wilson [00:01:44]:
This is your home now. Your other home, your everydayai.com. On there, more than 400 episodes, you can go back. No matter what you care about, they're all separated by category. Learn from the world's leading experts for free. So, maybe this is your first time listening. Thank you. So go sign up for the daily newsletter.
Jordan Wilson [00:02:03]:
We're gonna be recapping today's show and everything else that you need to know. But more importantly, we are in the middle. Actually, now toward the end, this is volume 4 of 5. We've been tackling, the biggest AI predictions all week. So you might be wondering, like, why am I doing this? Well, I've talked to 100 of the world's smartest people. I've interviewed them. I've have offline conversations. I big companies, you know, pay us to train their employees, on generative AI.
Jordan Wilson [00:02:33]:
And I'm lucky enough to learn from some of the smartest people and, you know, sometimes I'm up late at night connecting the dots, right, and putting all these pieces together from hundreds of conversations, and, that's where we're at today. So, last year, you know, you might be like, alright. This is random. Well, last year is actually kind of on point. Right? Even did a midyear checkup for my crazy bold, AI predictions for last year, and essentially, they all came true. But they weren't these soft, predictions. They were somewhat bold. Alright.
Jordan Wilson [00:03:04]:
So that's the good thing about doing this every day. You can go back and check the receipt. So that's I'm telling you that because I do not make these predictions lightly. I'm trying to lay out the roadwork. Alright. So, this is volume 4. So let's very, very quickly recap where we've been so far. So if you've listened to every single one, you can just, you know, 2 x for the next minute.
Jordan Wilson [00:03:26]:
I'm gonna give you, numbers 25, through 10 as we're now knocking on 10 through 5. Alright. So you can go back and listen to all of these episodes. Again, this is, volume 4. So, volume 1, we went over, and I'm gonna give you the numbers. 25, agent orchestrators will be a growing position. 24, public companies will post jobs for AI agents. 23, company reasoning data collection.
Jordan Wilson [00:03:53]:
22, high end professional services will go through a pricing crisis. 21, UBI becomes a household conversation. Then in volume 2, we went over number 20, Open source searches, open large language models will temporarily overtake proprietary models. 19, Chinese AI will dominate and cause confusion. 18, perplexity will pivot, get acquired, or get squashed. Seventeen, API prices are gonna drop like they're hot. 16, embodied AI will be an exploding sector. Then volume 3, we went over number 15.
Jordan Wilson [00:04:29]:
AI video tools will 1 shot 5 minute HD videos and advanced personalized media. 14, the future of traditional Internet will come into question. 13, social media makes deep fake AI problems way worse. 12, first big copyright case is decided. And 11, AI influencers start killing off human UGC content. Alright. So, that brings us up so you can go listen to those episodes. Here we go.
Jordan Wilson [00:04:55]:
Volume 4. No more chitchat. Here's the predictions in the road map ahead. Number 10, non techies will build on the fly software. Number 9, reasoner rappers will hit the scene. Number 8, virtual machines will become all the rage again. 7, AI becomes overly political. And number 6, global regulation around the world tightens, just not in the US when it comes to AI regulation.
Jordan Wilson [00:05:24]:
Alright. As always, livestream audience been doing this all week. Go ahead. Let me know. What is your the most likely one you think is gonna come true? You can just give me the number, say 8 most likely or 10 most likely, whatever you think, and then tell me which one is the least likely because I wanna see. Right? I wanna see if some of my, predictions here as I'm laying out the road map for you all ahead is garbage or if it's actually good. So, let me know. And without further ado, we're jumping straight into it.
Jordan Wilson [00:05:54]:
I'm off also in the theme of this 2025, 25 AI predictions, trying to keep all 5 of these shows under 25 minutes, which, if you listen a lot, you know, that's really hard for me to do. I don't know. Apparently, I talk a lot. Alright. Take a sip of the smoothie. Let's go. Number 10. Non techies will build apps on the fly on the fly software.
Jordan Wilson [00:06:20]:
Alright? So nontechnical people. I would consider myself somewhat nontechnical. Right? Yeah. I've I've, you know, been in and out of web development, sure, but I've always been more of a duct tape, a digital duct tape web developer, if that makes sense. Right? I'm not hand coding anything. You know, I know how things work, but I would say, well, maybe I'm a little more on the technical side of the nontechnical people. But I'm saying, you are going to be building your own software in 2025. It may not be until later in the year.
Jordan Wilson [00:06:55]:
It may be a small little thing. You're gonna be doing it because it is so freaking easy and so freaking powerful. Alright? I actually had a good chat with the, the Microsoft GitHub team at the, Ignite conference. I'll probably have them on the show soon, and you'll see what I mean. Alright. Like, it's it's so easy now. So, it's anticipated by this year that 70% of new business applications will use no code technology. Alright.
Jordan Wilson [00:07:24]:
We're not even talking low code when it comes to being able to use these AI tools. So, this is building apps with natural language processing. Alright? So being able to talk, to these apps, to build apps, or just typing natural text prompts. So you've probably heard of some of these, AI tools that help you build AI tools or non AI tools. Right? So GitHub Copilot, Cursor, Windsurfer, Lovable, etcetera. There's dozens. I probably forgot some popular ones. So yeah.
Jordan Wilson [00:08:02]:
Let me know if I'm missing one. You know? I always leave, in the show notes if you're listening on the podcast. I always have my LinkedIn, URL there. Just let me know you're from the, from the podcast because stranger danger or, our email in there. So, just the reality. I honestly don't know what the future of the software development industry is. Right? I think for the first time in 2024, software development jobs, new software development jobs were down. You had some of the brightest, graduates, in CS computer science, you know, widespread, and it's not just like small instances, but you heard widespread cases.
Jordan Wilson [00:08:44]:
You know, normally people that 5 to 10 years ago would be in the highest demand can't get jobs. Right? We saw the, the story that Salesforce was no longer going to be hiring software engineers. Right? So might sound crazy today. In 2 years, when even nontechnical people are building apps on the daily, I don't think it's gonna be that weird anymore. But that's the way I see it. I've done some of these things for myself already. I started just using claudanthropic, and and then using their artifacts, and there's some of those that I go back and and use, pretty regularly. But, you know, I've been experimenting a little bit in GitHub Copilot, which, you know, Microsoft made a a free version of that.
Jordan Wilson [00:09:34]:
Cursor is obviously fantastic, you know, and being able to work with very powerful models like 0101 pro. Right? So that's the other thing. These are essentially IDEs. So, if you don't if you don't know what that is, don't don't worry. You're not alone. So IDE is an integrated development environment. So, think of that as it's like a software application that helps programmers write code. Right? So these are these IDEs, but powered by large language models where you can just talk and then it just builds you an app in one shot, and you're like, oh, wow.
Jordan Wilson [00:10:09]:
Put a screenshot of something or, you know, say, hey, I wanna a clone of this social media app, and it just works. Right? Depends on how your prompting skills are, but you've seen examples of this, and we'll probably do one live here on the show where it's like literally, like one prompt. It's wild. Alright. Next, number 9. This one. I haven't heard anyone else talk about this. Company reasoning data collection.
Jordan Wilson [00:10:34]:
Alright? I think we're going to see reasoner wrappers. So I think this is gonna be a big focus of the most forward thinking tech and management consulting companies in 2025. So right now, business decisions and data reasoning, it requires both structured and unstructured data. So we've spent, you know, the the big buzzwords of 2023 and 2024 were rag. Right? You gotta get your rag pipeline. You gotta get your company's rag in there. Right? But what is that I mean, is that more helpful? Yes. Obviously, when you combine a large language model with your company's, data.
Jordan Wilson [00:11:09]:
Right? Duh. That makes sense. But okay. You you are still at the whim of whoever is is is steering the vehicle. Right? So I think if you've used some of these new reasoner models, right, so, essentially, think of it like this, your trip quote, unquote traditional, you know, large language models, let's just call them the transformer class of models. Right? Your GPT, your, Gemini, your Claude, etcetera. Then you have your reasoners. Okay? So these are, essentially models that take much longer, more inference time, and, you know, require more compute.
Jordan Wilson [00:11:43]:
In general, they're a little more costly. Alright? And they do this kind of chain of thought reasoning, or thinking while you wait. Right? So, sometimes I I I use 01 pro a lot. I love it. I I mean, I get that thing to think for, like, 10 minutes. Right? It's it's it's almost like a little agent. I give it a super hard task. Leave it there.
Jordan Wilson [00:12:04]:
Come back and check on it in 10 minutes. But it's still generic. Right? So this same iteration, this same metamorphosis, so to speak, that we went over through the last 2 years when we were essentially, you know, pairing our company's data with the transformer models, we have to do the same thing with these reasoners, right, with these reasoning models, The o ones of the world, o three when it comes out. Gemini has their flash thinking model. Amazon Nova has a reasoning model as well. So we have to take the same thing. But where rag pipelines, for the most part, or in many instances, are more structured data. Alright? Reasoning is not.
Jordan Wilson [00:12:54]:
This is exciting for me. I think there's gonna be a big push. Let's just say health care. Right? Think of if there was an o one model, but it just the chain of thought or the reasoning was all health care related. Right? And it always went through kind of that, almost like a a a triage, right, underneath the hood. But now think of that if it went through your company's decision making process. Right? I don't know how. You know? Don't don't talk to me on the feasibility of this, but I know it's coming.
Jordan Wilson [00:13:29]:
Right? Two types of models. Two very different classes. And, I mean, technically, it hasn't just been since chat JBT. Right? Because there was rag pipelines and large language models before ChatGPT, right? So it's not a new sector. It's been around for, you know, half a decade or more or at least popularized for half a decade or more. So we're gonna start to see, I think, the first iterations of reasoning rappers or, tying in your first, I I like to call it first company data, but on the reasoning side. So it's all about how do your business leaders make decisions. What is that thought tree that maybe isn't, you know, written down? It's gonna be a big a big boon of business in 2025.
Jordan Wilson [00:14:15]:
Alright. Let's let's keep going. Number 8, virtual machines are gonna become all the rage again. Alright? You might be like, there's no way. Yeah. I think you'd be surprised. I don't think it's also a coincidence. We saw, Microsoft, release the Windows 365 link.
Jordan Wilson [00:14:38]:
So it's not a technically a virtual machine because there is a, think of, you know, I'm I'm trying to think of the size of something. Right? Think of, like, a Mac mini. Right? But think of, like, an extremely powerful computer that would normally be, like, 10 times the size. So, you know, the Windows 365 link, it's essentially a a virtual machine, but you have a physical box. Right? And then you get to tap into, you know, via the web, the interwebs. You tap into a computer that would be, like, in theory, 10 times the size. Right? I think we're gonna see the same, but just completely virtual. Here's why.
Jordan Wilson [00:15:17]:
Let's talk about Claude's computer use. It's clunky. Right? But it uses a virtual machine. Granted, that virtual machine looks like it's from, like, 1997. But if you use, this is kind of the first, popularized, agentic AI, question mark. Right? At least from one of the big either tech companies or the big AI companies. Super clunky, but, you know, like I've said on the show before, you gotta tip your hat, tip tip your hat to Anthropic for actually releasing it. But it was the first kind of taste, the mainstream taste of agentic AI or when you can tell a large language model, hey.
Jordan Wilson [00:15:53]:
Go use the computer. Go to all of these different things. You know? Go go to this website, browse this, then put it in a word document, then go ahead and make a a spreadsheet and save that spreadsheet. Right? Stringing together multiple tasks that a computer needs to or sorry, that an AI needs to have access to a full working computer. They're coming back. So it's not just Claude Claude's computer use, but Google's Project Mariner, requires an active tab. So that, previously, it was called Google's Jarvis. I told y'all they they weren't gonna, you know, be able to use that name, the whole Marvel thing.
Jordan Wilson [00:16:32]:
So Project Mariner requires an active Chrome window. Right? So that's going to be their first, Google's first agentic, AI product. I I haven't even seen it released. It was supposed to go out to, like, tested users or whatever. Who knows if we'll even see it in the Q1. I'm guessing it's gonna be the latter part of 2025. But the same thing. It requires active use of your browser.
Jordan Wilson [00:16:56]:
Right? And then we have, should be released any day now, OpenAI's operator. Presumably, it's probably gonna require a little bit of your current screen or your current ChatGPT account as well. So, I mean, all these things are adding up. Right? All of these more agentic workflows, everything's agentic in 2025. All the big companies, Microsoft, Google, OpenAI, Claude, Salesforce. Everyone. Literally, everyone is all in on agentic AI, and so many of these systems, right, they emulate a computer. Right? Or you can run them locally.
Jordan Wilson [00:17:33]:
Right? There's gonna be local models too, but they're gonna need your computer. So I think, people having virtual machines is gonna come back, you know, remote PCs, you know, because you can't really do anything else if you're doing those things. Right? I guess luckily this is where my computer hoarding, comes into play. I think I have what do I have? 4 I have 4 Macs and a PC, that I use. So maybe maybe that's where that comes in handy for me, I guess, but, you know, it's it's going to be virtual machines are definitely going to come back. Alright. Two more. Look at this y'all.
Jordan Wilson [00:18:11]:
We might actually finish an episode in 25 minutes. Let me get a little hydration there. Alright. Here we go. Yeah. If if this is your first time, this whole thing's it's unedited, unscripted. This is just live. Alright? Number 7.
Jordan Wilson [00:18:29]:
I'm gonna be careful so I don't get any hate mail, alright, from you, Elon lovers. But AI is about to become very political, unfortunately. Alright. I already told you one of the reasons right there, Elon Musk. Right? So, former cofounder of OpenAI, now founder of, you know, I don't know, 50 companies, couple of them losing a lot of money, Twitter. Alright. But, you know, x AI. So, technically, one of OpenAI's main competitors.
Jordan Wilson [00:19:04]:
So you might be saying, like, okay. Well, what's getting political? Well, Elon Musk has this pseudo official role in government in the US government. Alright? Dodge, the department of oh, it's I think it's d o g e, not d o d g e. My, my screen here is wrong. I did that wrong. I'm a human. I make mistakes. What do you think I am a robot? I don't sleep.
Jordan Wilson [00:19:27]:
Alright. So, the department of government efficiency, which is, where, you know, essentially, Donald Trump, president-elect Donald Trump, has, you know, tasked Elon Musk with this unofficial but official but unofficial government position where he's supposed to go find all the waste in government. Right? But he's already throwing his weight around in a way that I would say is extremely inappropriate. Right? Because, he just, there's just some news stories that came out that he said he is urging attorneys general in multiple states to auction off the nonprofit arm of OpenAI. Can we think about that? So someone who's literally, at least from a public standpoint right? Trump saying, hey, Elon. Come in and make government smaller. Guess who you don't wanna piss off? That guy. Right? If you know Elon Musk, he's all over the place.
Jordan Wilson [00:20:28]:
Alright? You know, he, like, went in when he bought Twitter. I forgot, but it seemed like he fired, like, half of Twitter. Right. And also, I think he bought it for 44,000,000,000 in the last, numbers I saw is it was worth, like, I don't know, 10,000,000,000. Anyways, I'll leave that there. You can do what you want with that. He's urging, literally, government employees to auction off the nonprofit arm of OpenAI in multiple states. I was hoping that our the the artificial intelligence field would never become a political place, but it's already going there.
Jordan Wilson [00:21:08]:
Alright. So Zuckerberg, Mark Zuckerberg is already now getting more vocal and a little more political. The New York Times, called this Meta's MAGA makeover as he's been, you know, aligning with, president-elect Trump on a lot of recent issues. I think it makes good business sense. Right? But, I think we're, unfortunately, AI is going to become very political. One other piece. Right? You gotta add all these things up. So, David Sachs, you know, popular venture capitalist, also, podcast host, was named the AI czar.
Jordan Wilson [00:21:47]:
But he's been linked to some controversial opinions in the past. So been linked to some, allegedly linked to some Russian propaganda and other past controversial statements. So if you thought the world was already political in in AI, you know, artificial intelligence and large language models, if you thought that was your safe place, you know, here in the US, things get very political. Right? If you thought AI was the safe space, you know, you can escape from all the political nonsense. Nope. Looks like it's gonna ramp up, and I predict it is going to get ugly. It's gonna get ugly. Alright.
Jordan Wilson [00:22:24]:
So we'll see how that actually, pans out, but book it. Book it. AI is political. I'm not happy about it. I don't want that to happen. I thought we were just great in, you know, the last, like, 2 years. Right? AI is super innovative. You know, it seems like the, outgoing Biden White House, you know, they had, you know, some, their executive order, but it's not like they're overly restrictive in artificial intelligence.
Jordan Wilson [00:22:52]:
So, you know, but it looks like we're making a shift. We'll say that. It looks like, some of the leaders in the AI space are going to be, cozying up to those in positions of governmental power, and it looks like they're gonna be throwing around some weight. Alright. And then our last AI prediction as we lay out upcoming trends of 2025, global regulation around AI titans. It's not in the US. Not at all. Alright.
Jordan Wilson [00:23:29]:
So, we already know the EU act, has introduced some pretty harsh regulations classifying certain AI applications as high risk in imposing fines for noncompliance. Yeah. So a lot of these, you know, AI innovations and these new, you know, large language model features from various companies, businesses in the in the EU can't even use a lot of them. Right? Similarly, some countries like Canada, Singapore, Australia, etcetera, have also initiated their own AI accountability laws. Not all of them have gone into, effect yet, but it's going to, I think, drive a further divide. Okay. So, the EU's, I believe some of it, the EU AI Act, some of it came into effect in about 6 months ago, and then the rest is going to come into effect in about a year and a half. But regardless, I think there's going to start to be some pretty strict rules and regulations around artificial intelligence.
Jordan Wilson [00:24:39]:
Here's why. The talk as of recently has been all about artificial general intelligence, and it's been all about actually superintelligence. Right? That's what happens next. Right? It goes, you know, AI, and then it goes AGI, and then it goes ASI. And as that global conversation starts to shift, more and more people are going to become worried about their jobs. Right? Which means I think a lot of countries that want to be a little more conservative, that want to roll AI out at a little slower pace, I think we're gonna see a couple of things happen. I think that some of these countries are going to start to lose some of their, global positioning when it comes to, hey. Is this country a global superpower anymore? I think, you know, it's not like, you know, a company's gonna go from a tier 1 to a tier 5.
Jordan Wilson [00:25:36]:
But I think if you are too strict and too restrictive on AI and not allowing the big enterprises in your company to use and fully use them, them, you're gonna see 1 of 2 things. Either those companies are gonna leave. Yeah. Like, we're out. Right? Or gonna bring in less money. You can't compete. You literally can't compete. Right? I wish I had a better analogy.
Jordan Wilson [00:26:05]:
Right? But think of race, race cars. Right? I don't follow NASCAR or Formula 1, but think of the very first cars. Right? Like, I don't know, 50, 100 years ago, however long that's been around. And then look at them now. They're probably more than twice as fast. All the technology, so much safer. Right? That's the difference, right, between enterprise companies being able to fully use and fully leverage artificial intelligence versus those that can't. You're driving in an old Formula 1 car that goes as fast as my 2008 Honda Civic Hybrid.
Jordan Wilson [00:26:40]:
It's slow. So you're gonna see a great divide there. Alright. We made it to the end. Alright. And, obviously, y'all, you know I saved the best for last. You know it. My spiciest AI predictions and trends for you to get ahead in 2025 are coming tomorrow.
Jordan Wilson [00:27:03]:
So thank you for tuning in. I appreciate it. Make sure if you haven't already, go to your everydayai.com. Sign up for the free daily newsletter. We're gonna be recapping all of these hot take predictions as well as links to the previous 4 volumes. Alright. That was volume 4. We're gonna have links to volume 123.
Jordan Wilson [00:27:22]:
You can find that in the podcast as well. If you are listening on the podcast, I hope this is helpful for you. We bust our collective butts here at everyday AI to make sure you are the smartest person in your company and your department at, around AI. And these predictions, more than that. They are trends. They are laying the groundwork for you and your company to succeed. That's why you got to subscribe. Please, leave us a rating, and please join us tomorrow and every day for more everyday AI.
Jordan Wilson [00:27:54]:
Thanks, y'all.