Everyday AI Podcast – An AI and ChatGPT Podcast - EP 445: Content's AI Revolution: Videos, Streams and Stars (2025 AI Predictions - Vol. 3)

Episode Date: January 22, 2025

After spending 2024 watching EVERY major AI video launch, testing hundreds of tools and features, and consulting for content teams worldwide... let me drop some sweet truth that might taste sour.  The content game your biz has been playing the last few years? It's about to get CTRL-ALT-DELETED.  What's coming in 2025?  ↳  I'm talking AI spinning up ENTIRE VIDEO CAMPAIGNS while your marketing team is still scheduling their next brainstorm. ↳  Social feeds so flooded with deepfakes, your customers won't know what's real. ↳  And that massive copyright case? It's about to rewrite how EVERY company thinks about content ownership.  We’re breaking down the future of business content in Vol 3 of our 2025 AI Predictions series: Content's AI Revolution. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:1. Future of AI video tools2. Social Media and AI3. AI copyright case4. AI influencers5. Rise of AI mediaTimestamps:00:00 AI content in 202506:09 AI Images: Reality or Illusion?09:45 Future of Traditional Internet Questioned10:29 "AI Dominates Future Web Content"14:03 Search Engines Impact Online Monetization18:38 Deepfake Dangers for Teens21:34 AI Models and Copyright Disputes24:34 "UGC's Influence Over AI Trends"26:08 "2025 AI Predictions Recap"Keywords:Jordan Wilson, content change, 2025, generative AI, content creation, content distribution, media, Everyday AI, AI Predictions, Content AI Revolution, Videos, Streams, Stars, AI video tools, advanced personalized media, APM, Google Veo, AI content generation, social media, deepfake AI, copyright case, AI influencers, UGC content, OpenAI, Microsoft, New York Times, copyright law, AI regurgitation, embodied AI, AI newsletters, AI photo generator, AI livestream podcast.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the all-in-one creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Everything you think you know about content is going to change in 2025 because of generative AI.

How we think about content, how we create content, how we distribute it, how we consume it. Everything around video, creativity, content, the media, it's all going to change very quickly. And that's what we're going to be tackling on this special edition of Everyday AI, where we are diving back into our 2025 AI predictions, volume 3 of 5. Today we're going to be looking at contents, AI revolution, videos, streams, and stars. I'm excited for this one. Hope you are too. If you're new here, what's going on, y'all? My name is Jordan Wilson.

This is Everyday AI. If you're trying to keep up with what's happening in the world of generative AI, you're in the right place. We do this every single day, Monday through Friday, with a daily live stream podcast in free daily newsletter, helping us all hopefully not just keep up with AI, but how we can be the smartest person in our company when it comes to artificial intelligence. So please, if you haven't already, go to your everyday AI.com, sign up for our free daily newsletter. And in that newsletter, we're going to be recapping not just. today's show, but we're going to have links in there to volumes one and volumes two. All right.

So maybe this is the first time you've heard this show and you might be wondering, who's this weird guy? Why is he making predictions? Well, I've literally, in 2024, I interviewed hundreds with an S, hundreds of people for this show. Some of the smartest people in the world from big companies like IBM, Google, Microsoft, down to small startups, the people who are building the technology that we're all using when it comes to content creation, media, marketing, et cetera, right?

And these things keep me up at night, right? Sometimes in a good way, sometimes in a bad way. But I've realized I have so much great information, not just what, you know, you all here on this podcast or the live stream, but I've had hundreds of conversations not on those live streams, right? Whether we're helping enterprise clients learn or train their employees on generative AI or just when I'm talking to people offline, right? Those same people from the same big companies.

I have great relationships with all of them. So I said, hey, I need to take all of this knowledge, all these conversations, and give them all to you. So as my thank you for tuning in to this show, we're going to go over our 2025 AI predictions, volume three of five contents, AI revolution. So if you missed volumes one and two, we're going to have those. You can go back, listen to them. It's going to be the last two episodes. but I'm going to very quickly recap them. All right.

I'm not going to go into detail. I'm just going to tell you what they all were. So here they are. Number 25. We're going to go reverse. Ready? Quick. 25.

Agent orchestrators will be a growing position. 24. Public companies will post jobs for AI agents. 23, company reasoning data collection. 22, high-end professional services will go through a pricing crisis. And 21, UBI becomes a. household conversation. That was volume one. Volume two, here's what it was. 20, open source surges. Open LLMs will temporarily overtake proprietary models. 19. Chinese AI will dominate

and cause confusion. 18 perplexity will pivot, get acquired, or get squashed. 17 API prices going to drop like they're hot. And 16 embodied AI will be an exploding sector. Which brings us to today, Volume 3, contents, AI revolution, videos, streams, and stars. I'm going to give it to you right now, and then we're going to dive in. You don't got to wait anymore. Ready. Number 15, AI video tools will one shot five plus minute HD videos and something I'm calling APM. The future of traditional internet comes into question.

Social media makes deep fake AI problems much worse. 12, first big copyright case is settled. And 11, AI influencers start killing off UGC content. All right. Live stream audience, as I did with the last ones, go ahead, put the number of the one you think is the most likely. So maybe you think 13. So say 13 most. And then which one do you think is the least likely?

So, you know, whatever that is, put the number and then say least. Yeah. So if you listen to the podcast, we do this also as a live stream. Same exact thing. So if you want it first, join us on LinkedIn, Twitter, 730 a.m. Central Standard Time. All right, let's dive into number 15. A.I.

video tools will one shot five-minute HD videos and the advent of APM. That's what I'm calling, a term I'm calling advanced personalized media. I kind of coined a term last year during my predictions show called the second computer AI, which actually became a thing. So let's just go straight into it. AI video is amazingly good, right? If you haven't been following it recently, it's no longer, you know, janky Will Smith eating spaghetti. You can't tell the difference, right?

Let me put this out there. Most of you all don't know this. Way back in one of my former lives, both when I was a journalist for seven years and I was the executive director of a nonprofit for 10 years, I did a lot of photo in video, kind of like a pastime hobby slash well profession. I've shot probably, I did the math once, I think close to a million photos in my lifetime. I have four DSLO cameras sitting in the closet, somewhere here in the little home studio. You can't tell anymore. You can't, right? AI images in Mid-Journey, you can't, you know, at least those that actually know what we're doing, right?

If you're talking about something like Dolly or something like that, it looks cartoonish, right? but AI photos look very real. And everyone's turning those AI photos into AI videos, obviously. So it's hard to tell what's real and what's fake. And with especially with SORA, SORA is very good, but it struggles with real world physics. What people don't understand. The SORA version that we all got in December, well, that was SORA Turbo, which is not the full SORA model. And then obviously, right after that, Google came out with Vio, which.

I don't have words. It's that good. Shockingly good. It understands real world physics. But here's where I think it's going next. One prompt, five plus minute videos. Yeah. I got to come with bold predictions.

I'm not going to come here with boring takes. I think that's where we're going. I think we will see truly personalized AI entertainment in 2026, but I think we're going to get our first glimpses toward the end of this year, 2025. You all remember those like Pixar shorts, right? Those are really good. Those are really cutesy. Think of those, but for exactly what you like, right?

How it is now, you got to open up Netflix, open up Amazon, and there's, you know, thousands of things. But I'm like, who are these four? Right. Yeah, there's these algorithms and they try to recommend you whatever is best, but it's going to be different. I think it's you're going to either, I think Google, as an example, You could just opt in and say, hey, take all my browsing data and make me a video of that, right? That might be a good or bad thing depending on what you do on the internet. I would love that.

I would love it. It would be a bunch of dorky AI stuff and, you know, Chicago sports and North Carolina men's basketball and random gadgets. Like, yeah, show me some videos on that. I think that's where we're headed. And speaking of that, side note, I also see one of the major studios, right, whether that's, you know, the movie studios, maybe it's Netflix, maybe it's Hulu, et cetera, I see one of them either acquiring or aqua hiring one of these AI video makers, right? Maybe it's not runway.

I think runway is probably maybe too big or too established to be acquired right now. But maybe it's, I don't know, maybe it's one of these, these PICA labs, you know, Luma, I don't know. But I think one of these AI video makers is probably going to get acquired. Also, what's going to make that happen? Well, literally weeks ago, we started to see the first. first glimpses of multi-scene AI video shoots. So that's where you get this consistency, right? So a lot of people, you know, text a video, it's getting better. It's not fantastic, right?

I think you get good shots when you upload photos. So I do think by the end of the year, there will still be text a video. That's really good, but it'll generate up to five minutes. But you also have where you can now have the exact same scene, even from a photo, and you get it from multiple angles. And I think that's ultimately what's going to help, you know, this kind of reality, this advanced personalized media or APM, what I'm calling it, it's going to come to fruition. Mark it down.

All right. 14. This one is good. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI assistant. Now live in the Adobe Firefly app, the all-in-one creative AI studio. Powered by Adobe's creative agent, Firefly AI assistant lets you start with your vision,

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

See it today at firefly.adopi.com. like I'm good for it. This one's a little ambiguous. We can't have a, you know, a yes or no on the score sheet. And I'll probably do like I did last year, y'all, like in July. I'll do a little midterm report. So this one, yes, there's gray area. But I think the future of the traditional internet comes into question.

What do I mean by that? Well, the internet's garbage, right, for a lot of reasons. What a lot of people don't know, you know, chat GPT wasn't the first large language model, right? The GPT technology was released in 2020, the precursor, right? So we had, I believe, a GPT2, GP2, was released commercially. So a lot of the early internet, right, a lot of the SEOs of the world, right, those that were using spin tax long before there was a GPT technology, they flooded the internet with it, right? a lot of garbage.

But now it's like, who's not using AI to create content for the web, right? Because traditionally, creating content for the web, it was either expensive or bad, right? Now it's cheap and good enough with large language models, right? So even what we have online right now is already so much AI. So a recent study show that 90% of new content posted online. by next year will be AI generated. Let me repeat that. 90% of new content, new written content posted online will be AI generated by 2026.

All right. This does a couple of things. Number one, it cuts down on the amount of original content produced by humans, right? We always talk about, oh, there's not enough new data for these large language models to scrape and gobble up. that's true. I'm calling it AI regurgitation, right? It's already been happening for a couple of the years behind the scenes. People just don't understand it, right? Even this training data, right, and this is why, you know, the smart people at the big tech companies are saying, hey, we might be running out of training data. Well, it's because it's already been regurgitated,

right? So much of what's on the internet is just regurgitated content. You know, I would say the last kind of AI-free scraping of the internet was probably in 2021. You know, maybe before that I could be wrong. But, you know, I have a little background in SEO. So I always follow what's going on in the areas of SEO content, right? It flooded. It was flooded early 2020. Right.

So it just creates this vicious cycle of just AI recycling. I just call it regurgitated because oftentimes you get the worse. You get the worse of it because the people doing it. because the people doing this in mass and in bulk, they don't care. They don't, right? They're just like, all right, I'm going to get 100,000 words on the website today, 100,000 words on the website tomorrow, right? This systematic AI SEO, not good.

And this makes, well, this causes a couple of issues, right? Number one, new content, it's bad for us humans because we're reading less human-produced content. It is just regurgitated. So, you know, think, you know, a ship off. 1% right, 1% off the course of its target is eventually going to be completely in a different destination. I think that's the same thing that's going to happen, right? Compounding, number one, AI generated content isn't good because people don't know what they're doing. I obviously do.

I'm a writer. You know, I used to win writing awards. I use chat chbtee all day. I can create fantastic AI content, but very few people can. That's not me being like, oh, I'm so good. This is, that's just what I've been doing for a long time. All right. So we get a bunch of mediocre content. It keeps getting gumbled up by the large language models. People keep spitting it out. So that's, we're getting less original high quality data.

That's a problem. Number two, we have answers engines now, right? So people aren't even going to websites anymore, right? So that's problematic as well. So what incentive do big publishers who want to be putting out original stories, new research, new information, they're becoming decentivize to actually do that, right? The way the internet works online, right? You put content on your website.

You either monetize from people who find your content on Google. They sign up for, you know, a subscription of yours. They give you their email. Maybe you pixel them so you can retarget them on other things and you sell them things, right? That's not happening as much anymore because you have answers engines like perplexity, chat GPT search, large language models. in general, but now you also have this thing that's, I think, a behemoth Google deep research. I've gotten it to go to 1,300 webpages to scrape, essentially scrape all this information.

Google research does a little different and does it via its cache of the internet. Other companies haven't really told a lot how theirs works. But that's 1,300 sites I didn't go to. That's 1,300 publishers that didn't get to pixel me. That's 1,300 companies that maybe I would have bought something or given them my email and now they get nothing. So the very hand that feeds large language models, they've cut it off. It's problematic. Mark it down.

13. Social media makes deep fake AI problems worse. Oh, gosh. Meta. Don't know what meta is doing here. All right. So meta had this disastrous. and that's putting it nicely.

Meta had this disastrous experiment with AI profiles, right? They thought, you know, we're going to do this thing. We're going to have these, you know, AI profiles engaging with humans. They're going to look like real profiles. Yeah, there's a little badge that says their AI, but Meta wanted to make their platform stickier. Right. So literally, Meta, the company. flooded their own social media channels with AI bots.

Y'all, I love AI. Terrible idea. That's somewhere AI does not need to be. So you had that. That's problematic. That's, they shut it down, luckily, because everyone's like, yo, we don't need this. You know, that's pretty bad, right?

Between social media and AI, those are, you know, people who love those things, love those things. So, you know, you are a little tone deaf. if literally the whole world's like, no, we don't need that. Don't do that. That's bad, right? We don't want that. Yeah, you're trying to make the platform stickier and more engaging.

Do it, do it a different way. Another thing that's going to lead to deep pigs, well, speaking of meta, Mark Zuckerberg said he's getting rid of fact checkers and instead replacing it with a community note type system. So you could argue on the pros and the cons. I think ultimately, that's a. net loss for AI safety. All right.

That just means, I think, you know, and I get, you can make the argument, right? Because it's like, okay, well, you know, these fact checkers are humans, the community note system. It gives it the power to the users and, you know, algorithms, sure. But I don't think it's a good move. Next, Elon Musk's XAI is reportedly working on an unhinged mode in GROC. Yeah. So these, yeah, which is essentially just like.

like grok with no guardrails. So I'm sure that's going to, you know, start with tax, but also integrate with Twitter slash X photos as well with their AI photo generator. It's not good, right? So essentially all the social media companies, they are literally bad guardrails. Now, we're good, right? Let's flood it with AI. Let's get rid of guardrails.

A recipe for disaster, right? All these, you know, 79-year-old grandmas, no offense if your grandma is 79, right? They already can't tell the difference. Hey, Jimmy, is this your classmate? It looks like he robbed a grocery store, right? Yeah, we don't need fewer guardrails and more AI on social media, right? We don't. We don't.

Those are supposed to be places where humans hang out and it's safe, right? Next, I think the combination is finally here of quality, right? I think we're finally in 2025 going to have real enough AI photos that get combined with real AI video, right? You make the, but no, even real photos, right? Because you can upload a real photo. And this is bad. This is where the deep fake comes, right?

I wouldn't want to be someone in high school because kids are going to get bullied this way. They're going to take photos of someone. They're going to create videos of things that didn't happen based on photos, right? And that's very easy because every single, you know, teenager, college kid, whatever, they put their entire life on the internet. It's very easy then to grab that, put it into an AI video generator, have it doing something that that person probably didn't want it to, and now you actually have lip sync AI. That's good. A recipe for deep fake disaster. All right. Also, you have to think. You have to think. So Open AI and other researchers came out with a.

paper a couple of months ago to determine they came up with a system to essentially say, hey, we need to be able to tell the difference between humans and AI. And I think something like that is needed, right? This is big researchers, right? It was Open AI. It was Microsoft. It was, I believe, Oxford, some other big universities. And they said, we need some sort of system.

You know, and I know that's where people get, like, weirded out, right? Like, oh, I don't know. Is it, do you get a number? Is it like a social security card? But it's just something that you put on, you know, on Facebook or Twitter or YouTube to be like, yeah, I'm a real human. Because here's the thing. As we get closer to AGI, AGI will mimic human. humans, right? And as we look forward, past artificial general intelligence to artificial super

intelligence, AI systems are going to mimic humans. And we do need some sort of way to distinguish who is a real human, who is not. That's not me. I'm not advocating for, all right, we all need some, you know, number or something to say we're human. But the AI deep fake problems are going to get really bad in 2025. And social media is opening the door for that to happen. All right, number 12. First, big copyright case is decided. I do not know if it's going to be Open AI versus the New York Times. That is the marquee copyright case, right?

And you might be wondering, like, oh, well, for what? Well, let's call a spade of spade. For the most part, large language models scrape up the entirety of the Internet. Copyrighted works. All of them do, right? That's why a lot of the people in big tech and big AI are essentially challenging, you know, decades old copyright law. And they're like, ah, this doesn't really apply anymore.

So there's that whole argument. I'll say, I'll say argument, right? I'm not going to get into that right now because, you know, yeah, it's essentially large language models. They don't one to one reproduce, but they take, you know, essentially, let's say someone writes about a product review, right? And maybe that's for a newspaper and that person got paid and, you know, that newspaper copyrights that, right?

Well, the large language model is going to gobble that up, but also they're going to gobble up the other 50 people that did that exact same thing. And all 50 of those are copyrighted. But, you know, the big tech companies say, well, when we just blend all 50 together and we kind of, you know, mix them up in a bowl and spit something out random, we're not reproducing copyrighted work, right? But big news organizations, regardless, are suing them. And one of these cases is going to get decided.

It might not be that one. That is the biggest one. And once a domino falls, a big domino, right? I know Anthropic, I believe, did settle a lawsuit with a music publisher over reproducing some lyrics. That's small potatoes. Once one of the big fries, fries, things are going to get spicy. All right? I don't know how much longer the Open AI New York Times.

is going to go on. I believe the New York Times is suing OpenAI and Microsoft for a lot of money, unspecified amounts for allegedly using millions with an S of their pieces of work, right? Regardless of what happens, right? whether it's the AI tech company that wins or the publisher, you know, magazine company, newspaper company, regardless of who wins, I think chaos. Chaos ensues, the first big one, right? Because then there's precedent.

And then everyone else is going to follow suit, but we're all waiting for that one big domino to fall. Or, you know, maybe they just continue to get settled and, you know, everyone's hush, hush about it. All right. Our last one, I'm trying to get all these done. 25 minutes, by the way. We'll see if I actually do it. Last one, number 11, AI, quote unquote, influencers. So influencers that are actually AI are going to start killing off human UGC content.

And you might be wondering, like, why hasn't this already happened? Why didn't it happen in 2024? Well, the tech wasn't quite there. Now it is, right? There's literally all these open source models where you, you know, literally can get a picture from Mid Journey and you upload it. And, you know, they program all the, you know, TikTok dances and all these things. You can get these quote unquote AI influencers to sit there and, you know, speak about your product. It's nuts. And they're actually pretty realistic.

When they first came out or when they first got popular about nine months ago, they were absolute garbage. The past nine weeks, scary good. All right. Here's the thing. I think early on, they didn't count. catch on because there's this over-beautification of the, kind of like the AI influencers, right?

And it's like, no, that doesn't look real, right? But now they've gone this almost UGC style, right? User-generated content. So why UGC was so big on social media is because, you know, sometimes it wasn't the best camera. Sometimes it was a little shaky, right? Versus, you know, a big commercial with a celebrity where they have a million dollars of video equipment, right?

For the most part, UGC and influencer culture took off because it's someone, you with a smartphone and they're just talking into it and that's all right so i think now the kind of quote unquote AI influencer uh kind of sector is starting to explode because it's now just looks like real people right not these uh you know hyper unrealistic versions of perfection that i think you know everyone was going for to begin with it just looks like you know random people right um in imperfections too right uh they don't have these perfect sounding they're squeaky and they have weird cadences, right? But I think that love them or hate them, they're here to stay, right? And I don't think in some instances, that's a bad thing, right?

Because every single, every single kid out there now, it's like, oh, what do you want to be? I want to be a YouTuber. I want to be an influencer. I want to do this. But it's like, okay, well, what? Right. Like, that's fine. Are you doing that for science papers? Are you doing that for, I don't know certain sports. No, they just want to, you know, go talk, right? So maybe it's better that, you know, hands some of that off to AI right now. So the next generation can, I don't know, want to learn a certain skill, certain trade, go practice that.

So I think they're here to say. All right, look at that. We wrapped it up in about 25 minutes. That was volume three of our 2025 AI predictions, content, AI revolution, videos, streams, and stars. I hope this one was helpful. Don't forget, we are now at the midway point. We already did volume one and two, and I read those off to you, and we just wrapped up number three as well. All right, so make sure to join us tomorrow.

We're going to be going over our next set of AI predictions for the year, your complete AI toolkit, tools, rules, and global changes. It's going to be a good one, y'all. All right, if this was helpful, please do me a favor. back, keep listening. We do this every day on our website. You should go check it out. We have everything sorted by category, like 450 podcasts. So whether you care about marketing, HR, legal, governance, whatever, go click on that category and learn from the world's experts on our website for free. Also, go to your everyday AI.com. Sign up for the free daily newsletter. We're going to be recapping this show and a whole lot more. Thank you for tuning in.

Join us tomorrow and every day for more. Everyday AI. Thanks, y'all. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution.

Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind.

Go break some barriers and we'll see you next time.