Everyday AI Podcast – An AI and ChatGPT Podcast - EP 461: The future of AI-powered storytelling. What’s next and how to grow
Episode Date: February 14, 2025In three years (or less), ANY story you can imagine will be instantly transformable into professional-grade video content. No fancy equipment. No massive creative team. Just your ideas and AI.That&apo...s;s not some pie-in-the-sky prediction. That's straight from Eric Yang, CEO of Topaz Labs, whose AI-powered creative tools are already used by millions of content creators worldwide.What does the future of AI-powered storytelling look like? We dive in and find out. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Eric questions on AI and storytellingUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Role of AI in Business and Storytelling2. Current Trends and Consumer Expectations3. Societal Implications of AI-generated Content4. Future of AI Video and Image TechnologyTimestamps00:00 AI Revolutionizing Big Businesses06:16 Future of Effortless Video Creation09:24 AI in Video and Photography11:10 "Transform Business with Gen AI"14:32 Video Consumption Trends & Personal Impact18:18 Balancing Authenticity with AI Tools20:33 Digital Evolution: Film to AI Reality24:14 Improving AI Video Realism26:51 Future of AI StorytellingKeywords:AI-powered storytelling, generative AI, large language models, visual generative AI, storytelling, Topaz Labs, AI tools, AI content creation, enterprise companies, content upgrading, photo AI, video AI, AI technology, AI-powered tools, creative AI tools, AI video quality, business growth, AI storytelling future, AI creative platforms, AI in production, consumer expectations, AI-generated content, AI business use cases, content democratization, AI storyboarding, digital photography, AI-generated video, AI-powered visuals, AI human authenticity, AI-generated storytelling trends.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.
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Even if you're a big, boring business, right?
Those huge enterprise companies that for decades, you've just been cashing in billions of dollars,
slow growth, AI changes all that, right?
And I think now we're at the point where everyone knows the power of large language models
and how that can completely transform your business.
But there's a whole other category of generative AI that I think has already been making bigger waves in the past couple of weeks.
And those are the visual sides of generative AI from recent announcements from OpenAI and their SORA and Google Vio and so many different creative platforms, I think are changing how companies can use AI.
And also what consumers want and what they experience.
But I'll tell you this, even if you are a big, boring business that you've never been on the
cutting edge of cool and marketing and advertising and visuals, I think you might want to
listen up because I think the future of AI-powered storytelling is going to completely change.
And our guest today can help walk us through it.
All right.
What's going on, y'all?
My name's Jordan Wilson and welcome to Everyday AI.
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All right, technically we're debuting this show live.
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So if you're looking for the AI news like we do every day, that's still going to be in the newsletter.
But we're going to get started and I'm excited for today's conversation.
This is one near and near to my heart.
So we might dork out a little bit.
But everyone, please help me welcome to the show.
our guest, Eric Yang, the CEO of Topaz Labs, Eric, thank you so much for joining the Everyday AI
Show. Thanks, Jordan. Looking forward to the conversation. Thanks for having me on. All right. So I actually
used Topaz Labs way back in the day. Can you tell everyone a little bit about your platform,
your company, if they've never heard of it? Absolutely. So we're software that helps you upgrade
the value of your content and make it look more professional with one click. So for example,
if you have 720p footage, we can upscale it to 4K and make it look like it was shot natively at 4K.
If you have a blurry photo, we can make it sharp and usable for social media or whatever else you want to do.
Actually, we've been around for about 20 years now.
So we started off doing Photoshop plugins for like an HDR effect and for turning your photos in art.
And we did that for a little while.
those were probably the products that you might have used back in the day. And in 2018,
we started exploring generative AI models for upscaling images and videos. And those were
absolutely phenomenal, especially at the time. And we've been on that ever since. Yeah, walk
me through a little bit of what that kind of transition has been like, right? Because yeah,
it was, you called it out there, right? Eric, it was the original Photoshop plugin.
that I was using, right? Before I became a heavy Canva user, I was tinkering around in Photoshop,
and that's where I found Topaz. But, you know, now you have the video AI six, right? The photo AI3.
I think that's the right numbers and updates there. But, you know, walk us through kind of your
transition into, you know, providing more of these AI power tools on the front end, because
the appetite's there. But I'd love to hear what that's been like for your company.
Yeah. One of the things that we think about a lot is,
is we want to create the best tools for a category that is growing.
So in 2018, there were two things that happened.
Number one, our experiments with Generative AI for upscaling,
nobody else was doing it at the time.
And in internal testing, it was absolutely amazing.
It was jaw-dropping.
Actually, the first version, we released, it was really buggy,
and it was really slow because GPS at the time weren't that optimized.
and it crashed all the time.
The UI looked like it was, you know, Windows 95.
But it worked so well that it was flying off the shelves.
And with that kind of traction, you kind of know on the technology side that you're onto something.
And the second thing is the amount of content back then was, and content creators, was massively increasing as well.
You know, you have all these platforms that you can get a lot more visibility by generating good.
content and with his stories and therefore the value of upgrading content also started to grow.
So with those two things, we sort of decided to make a transition into focusing on this full.
So let's fast forward to the end there.
So, you know, I started off the show on a little ramble rant about how I think even big,
boring businesses that maybe haven't always been, you know, on the creative cutting edge.
they haven't been, you know, big companies that think that they should be out there putting visuals.
How does today's technology change what businesses can actually do and accomplish without having,
you know, a huge creative team?
Yeah. So today is the early days of what I think will be a pretty exciting revolution in
content. So if you fast forward, let's say three to five years, I think we'll be in a world
where any story or any concept that you have in your mind
that you want to be able to tell to people
will be extremely low friction and easy for you to tell.
We'll be in a world that any story you have in your mind
you'll be able to put into a video
and just describe it using words, visuals, storyboards, whatever,
and not require a creative team
in order to create an amazing, professional-looking,
true-to-life video for these things.
you use in your business.
And where the barrier to entry there will be the quality of your storytelling rather than
the quality of your technical video production skills, right?
And I don't think we're 100% of the way there yet, but there are still things right now
that you can do, especially on the image side, I would say, that are production ready.
So I do want to dig into that a little bit more, but first, I want to attack this from another
angle, right? Topaz has millions of users. You know, what have you seen your customers leaning into
the most recently, right? Like, that's something I always like to ask, right? Like I had the head
of AI at Canva and I'm like, what's the data telling you? What are users building in terms of
creativity? What are you seeing with usage on even your own platforms, right? Because I think a lot
of times it's, you know, companies like Topaz where it's, it's the younger, you know, more creative,
teams that are using this and really on the cutting edge, where are you seeing this leading right now,
at least even within your own platform? Yeah. I guess this is one counterintuitive thing to bring
up on an AI podcast actually. It's no AI, right? Yeah. So I think one of the biggest use cases of
AI right now is to, how do you say, to supplement the real world, right? It's not actually to create.
completely new things from scratch.
I think that's where a lot of the focus gets put
because that's the coolest thing that AI can do right now.
Given noise or given absolutely nothing,
you can generate something that looks amazing from scratch, right?
That's like super cool.
But the most useful use cases that we've seen
and the ones that people pay for are they have some content
that they like,
but maybe it's not professional.
enough or high quality enough in some way. And that's actually where the dollars are right now
is being able to maybe change something about it so that it removes a barrier for them to be
able to use in production or like upscale it to 4K so that they can charge more for it and things
like that. So I would say right now at least the biggest business use cases are combining the
real world with AI tools. That's a good point. And this is something,
I think I brought up maybe three or four months ago that I think that we're already seeing
whether we know it or not, AI generated photo and video all over the place, right?
Like I think early iterations, you could obviously tell, right?
Like nine months ago, you can tell.
But today, yeah, I think big creative teams, they're uploading, you know, their current
video.
And it's like, oh, we have a gap here, right?
And instead of having to go reshoot something, you know, there's tools now, great AI
tools that can extend that video by three seconds or, you know, to grab a still out of, you know,
a finished shot and to be able to take another angle at it or to create some, you know,
a little piece of B-roll. Do you see that already happening? Are we already seeing, you know,
AI-powered, you know, video on actual shows and maybe we all just don't know it?
Currently, at least from what I've seen, we haven't really seen much generated video in production, like on TV or Netflix or anything like that.
I don't know for a fact, but there's been no indications in like the people that we've talked to anyway.
I think one really interesting use case of generating AI so far is actually generating ideas.
So you don't really need super high fidelity, true-to-life, high-resolution content.
If you're creating different ideas or brainstorming for a show or creating storyboards for a show.
So you can use AI and people do use AI a lot to do that and generate ideas from themselves and lower the cost of production.
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Oh, yeah.
Cost of production, I think.
that's something that there's no argument, right?
Like, it's already gone down exponentially faster shoots for big creative teams, right?
I remember even myself, right?
I'm a former journalist.
I used to do a lot of photo and video work.
And I know a lot of times it would take dozens of hours of planning, getting, you know,
certain shots, storyboarding things, reshooting, editing, all of those things, you know.
So as we look in the future, so Eric, you were saying in three to five years, you kind of see
this world where you can just, you know, type something in or upload a, you know, a source image and
really get whatever you want, right? Talk us through how that changes, right? Because I think that
changes a lot. That doesn't just change in lower the barrier entry for people creating the content,
but I think that changes the expectations of the consumer as well, right? Like no longer can a one-size
fits all piece of marketing, I think, work in the future. So how do you see that kind of
changing on both sides.
Yeah, absolutely.
So I think one of the most important things about marketing is to stand out from everybody
else.
And historically, or I guess within the past, you know, 50 years or something, one of the,
one of the really good ways to stand out is to have really high production value, to have
inspiring aspirational content that other people look at.
It's like, wow, that's really, that's really great.
I think in the next three to five years, that is no.
no longer going to be a barrier to entry.
Everybody, me, you, everybody listening to this is going to be able to produce the most professional
and realistic content that anybody can create just based on the stories in your mind.
So then you got to think about, okay, what is the differentiating factor then?
And I think the differentiating factor will be the quality of the stories, the creativity
of the content that you're actually putting out, which is, I think, a great thing to happen
to the world, because that's the value.
of communication and that's the value of content. So I think that'll probably be the biggest change
where the best stories will eventually win rather than just the, you know, being able to hire
a production team and actors in order to tell your story. Yeah. So, you know, it's obviously
no, no secret. How much over the years. So first with, you know, just faster internet speeds and then
social media, right? But video dominates, right? I think some of the most recent studies I've seen
is, you know, more than 92% of internet users are watching videos every single week, right? No surprise there.
But even for yourself, can you talk about your own experience? I always like learning from the
people who are building these companies. How even have your kind of habits changed or consumption
changed, you know, with the rise of a video and all of these creative AI tools, how has it
changed for you personally and both what you're consuming and maybe what you're creating?
Yeah, for sure.
I think for me personally, I'm trying to learn golf right now, right?
Hey, same.
I'm terrible, too.
I'm really, really bad.
But I historically, I've always learned using books.
And so I actually bought a golf book to try to learn from it.
It's like a 50-year-old book or something.
And it was pretty good.
But I think the biggest impact, of course, has been watching random videos from creators
on YouTube that are actually way more useful than this book that, you know, somebody took years to write.
And I think that's a pretty big change that has been brought about by the democratization of content on YouTube.
And that's actually super useful.
useful to me and my my my my my my my my my golf but I think in the future that'll be compounded even
a thousand times right so as the barrier of entry gets lower and lower that's just going to
get more more more stronger so speaking of the future and that barrier what should companies
be looking at right so you know obviously I see like you know people falling in in three buckets
Like those that haven't done creative visual storytelling well, those that have done and then everyone else in between.
So how do all of these new tools, these new features, these new generative AI breakthroughs, right?
How should these companies and decision makers listening to this very show, how should they be preparing, right?
Their next year's marketing plan, their advertising, their communications, right?
because things happen so freaking fast, right?
How can companies, you know, plan ahead and actually take advantage and grow with all these
AI advancements?
Yeah.
At the end of the day, AI is a better tool.
So I think the way that I see it is any company has growth goals and a lot of that
revolves around obviously distribution.
Whatever part of your distribution.
strategy revolves around content creation and getting your story out, that's where you really need
to look at AI to see whether it can make you more efficient or even make things possible
that weren't previously possible. I think actually the storyboarding part and being able to
work with real visuals as you're creating the stories in your mind has been a big way that
we've seen even current technology be able to help substantially and lower the cost of production.
I think in the next couple of years, you'll be able to produce final content or final videos,
especially, very easily as well.
Yeah.
And, you know, there's obviously those huge, no-brainer upsides, right?
Like, Eric, you keep, you know, bringing up storyboarding, which I think is one of the best and
easiest use cases, right?
because in the end, I think there's still this piece of authenticity that I think we sometimes
just glaze over, right? Because we get so excited about, you know, the AI future of storytelling
and all of these tools. So how can you still balance that, that authenticity, that human in the
loop, that, you know, human appealing to other humans, how can companies balance that?
When it's so freaking easy to just go in there and, you know, go into these AI systems. And I get right
now, you know, a good eye can still detect that they're AI generated, but probably not much
longer. So how do you balance that authenticity? Yeah, that's a great question. So this has actually
happened before, right? So back in the day with film photography, you can, you know,
change the exposure and dodge and burn it a little bit. But it would still look like the photo. So
basically photos were very believable kinds of things, a record of history, right? After,
digital photography, a couple of things happened. Number one, actually, the barrier to entry of photography
became way lower, and a lot more photographers started coming around. Number two, though, with
Photoshop, all of a sudden, you couldn't believe what's on the page anymore, right? You can literally
have anything be depicted in a photo. And I think through some combination of society adjusting and people's
expectations adjusting and social norms, we still view photos with a healthy degree of skepticism,
but some degree of trust as well.
And I think a similar thing will happen with a AI generated content future, where a lot of it depends on the context,
and it also depends on the content, the stories themselves.
So just like with big technological innovations in the past, people will adapt to the
realities of an AI generated content future. And I'm personally pretty excited to see how it goes.
Yeah. And, you know, I'm glad you brought up the classic example of, you know, photography going
from film to digital and then through the Photoshop eras, right, where, you know, Photoshop became
a verb and, you know, people were always like, oh, that's Photoshop or that's not real. That's Photoshop, right?
But I think society had this nice, you know, 10 to 15 year period where they could adjust their expectations, right?
Where it wasn't just like overnight, you know, every single thing everywhere was Photoshopped.
But sometimes I feel that this is where we're at with AI, right?
Like society isn't going to have 10 to 15 years, right, to adjust to AI images and in AI videos
because they're starting to, you know, really, I mean, you have AI companies like runway, right,
signing deals with major film studios like Lionsgate, right?
So there's, it's inevitable that it's already happening and it is happening and it's going to continue.
So how do we as a society, right, how do we have to go through that Photoshop moment to see what's real,
what's fake?
And are there any dangers to, you know, too much of our future storytelling being driven by AI?
It's hard to predict. Yeah, I mean, there's definitely risks, I think.
I think one of the interesting things that will happen in a future where there's a thousand times more AI-generated content, actually the value of real content, the ones that you actually go out with a video camera or your iPhone and shoot, it actually disproportionately goes higher the value, because there's going to be less of it in relation to everything else.
So I think there, I don't, personally, I don't necessarily believe in a technological barrier to being able to tell like watermarking a real piece of footage or something like that.
But I think societally, we will value content that we trust is actual recording of reality more than AI generated images.
I think if it were to make a prediction, I think society will see AI generated content more as an illustration of a concept as like a sort of like an art kind of thing.
Whereas we will still place heavy emphasis on recording reality through actual videos and images, similar to how we do right now with images.
Yeah, no, that's that's a good point.
And it's something that, you know, I think in all the hoopla and hype, we sometimes just, you know, skip over.
right like reality and authenticity and believability right i think those are important things that we reflect on
and talk about uh because as a society yeah things are things are moving very quickly um you know
you know eric you talked earlier that you know maybe in three to five years you know you might be
able to tell a story uh that looks very you know looks very real and can really help you know
your next product launch your next you know service that that your company comes out with but
maybe aside from that, aside from being able to, you know, essentially create a new story from
scratch with a text prompt as an example in the next three to five years.
What other area of AI generated storytelling are you really paying attention to, right?
Like as a leader of a company that's competing in this space, you know, what's maybe that
more incremental steps, maybe not in the next three to five years that you're looking at and you're like,
this is a big area.
This is something I'm excited about and brands need to pay attention.
Yeah, I think getting a little bit more into the steps required to achieve that.
One of the biggest issues right now is, I guess we can say, call it believability or it's very easy to tell whether a piece of content is AI generated to the naked eye or realistic.
And there's some pretty challenging technical problems associated with us.
but one of them is that the texture and the resolution and the sharpness of the videos right now isn't good enough
and that's the piece that we're spending all of our time trying to solve right now
basically making the video quality and texture look believable enough to where you couldn't
be able to you wouldn't be able to tell versus a real video yeah that makes sense yeah it's
I think we're getting there, though, right?
Like, I mean, what do you see for that?
Is that another couple months, couple quarters, a couple years still, right?
Like, I'm like, I follow this maybe way too closely.
So I think sometimes I'm too deep in the rabbit hole.
But how long do you say until something like that happens?
Probably in three years.
Okay.
There we go.
Right at that three to five year, three to five year timeline.
Nice.
We have something in the very early stages right now that can, for example, take one of your
old 30-year-old video clips that you can barely see any detail in there and restore it to
HD that is obviously it still has some issues you can't it's not like you shot it with your iPhone
today but it's believable enough to where you would absolutely want to use it and send it to your
grandma or something like that yeah that's huge that's so cool in three years it's going to it's
going to be way better than it is right now.
Yeah, that's so cool.
And I think that's another one of those overlooked areas, right?
Everyone just wants to, you know, make a thousand new videos for whatever.
But yeah, what about our memories that we've already created, but maybe don't look very good
or, you know, are missing those details, the smile on grandma's face or whatever.
That's an interesting another use case for, you know, AI-powered storytelling.
Yeah, absolutely.
I mean, at the end of the day, it's all about humans, right?
AI isn't going to consume content.
So at the end of the day, it's all about people creating content for other people to consume.
And the key part of that is the stories.
So, Eric, we've covered a lot in today's conversation, you know, from what you all are working at at Topaz to, you know, where the trends are going in the industry, kind of the pros, the cons, the scary things, the exciting things.
but what would you say as we wrap up,
what's the one most important thing for our audience to know
when we are talking about the future of AI-powered storytelling?
Yeah, I guess I would say just try things out
because it's about to be really, really exciting.
I personally can't wait to live in the future
where you can imagine anything
and create professional, great-looking content from him.
I would be able to use that.
I would use that every single day.
And I'm really, I'm really,
excited for what's coming next. All right. Well, what's coming next? We're always going to keep you in the loop.
So thank you so much, Eric, for joining the Everyday AI show. We appreciate your time and your insights.
Likewise. Thanks, Jordan. All right. Hey, as a reminder, y'all, we covered a lot and there's a lot more.
So we're going to be recapping today's conversation. Maybe you heard something that Topaz is working on.
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