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Big Technology Podcast Episode Notes: Is Generative AI Killing Creativity Or Enhancing It? — With Scott Belsky
Episode Overview
- Host: Alex Kantrowitz
- Guest: Scott Belsky, Chief Strategy Officer and Executive Vice President of Design and Emerging Products at Adobe
- Main Topic: The impact of generative AI on creativity, examining whether it homogenizes creativity or enhances it.
Key Themes
- The Nature of Creativity
- Creativity as a recycling program: Inputs from various sources shape outputs.
- Exposure to mass media creates a center of gravity that can lead to homogenized creativity.
- Significant creativity often stems from human ingenuity, with individual experiences and travels enriching creative expression.
- The Current State of Creativity
- The idea that human creativity peaks at a young age, with a decline in confidence due to societal pressures and criticism.
- Generative AI may restore confidence for those who feel discouraged in their creative potential.
- Generative AI's Role
- The democratization of creativity: More individuals can create content without needing high skill levels (e.g., producing animations, graphics).
- AI tools allow for rapid prototyping of ideas (e.g., mood boards), enhancing the creative process.
- AI can improve workflows and productivity, allowing creative professionals to focus on exploration and ideation instead of repetitive tasks.
- Friction in Creativity
- The conversation shifts to the benefits of friction in the creative process, highlighting that challenges can foster resilience and creativity.
- Excessively reducing friction may lead to fragility in human responses and creativity, with societal implications on tolerance for adversity.
- Ownership and Attribution
- Discusses the legal complexities of image ownership when generative AI is used, with questions around the rights of original creators versus AI-generated outputs.
- The evolving nature of copyright laws in relation to generative AI technologies.
- The Future of Creativity with AI
- AI's potential to create a new market of creativity, enabling small companies to compete effectively.
- Large companies may retain advantages due to access to data and distribution channels but also face pressure to innovate and meet evolving consumer needs.
- Consumer Products and AI
- Examines how consumer products may evolve in relation to generative AI, questioning whether they will address societal insecurities.
- The potential for AI to create uplifting and supportive environments for sharing creative work.
Key Takeaways
- Generative AI is reshaping the landscape of creativity, enabling more individuals to participate in the creative process.
- It has the potential to enhance both the quality and quantity of creative outputs while fostering confidence among creators.
- The balance between removing friction and retaining necessary challenges is crucial for sustaining a healthy creative environment.
- Legal and ethical considerations surrounding ownership and attribution in AI-generated content remain an open and complex dialogue.
- The future of creativity will likely see new business models emerging, fueled by AI capabilities that lower barriers to entry for aspiring creatives.
Conclusion
- The episode concludes with a reflection on the dual nature of technology in creativity – as both a tool for empowerment and a potential source of new challenges. It emphasizes the importance of navigating these complexities thoughtfully as we move forward into an AI-driven future.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Let's talk about the future of creativity in the AI age with Adobe's Chief Strategy Officer right after this. LinkedIn presents.
0:13Welcome to Big Technology Podcast, a show for cool-headed, nuanced conversation of the tech world and beyond. And today we're joined by Scott Belsky. He's the Chief Strategy Officer and Executive Vice President of Design and Emerging Products at Adobe. And today I'm so excited to have him on to talk about how AI is going to impact creativity, whether it will homogenize it, as well as a bunch of other fascinating subjects that Scott is looking at in the tech world. So glad to have you here, Scott. Welcome to the show. Hey Alex, thank you. Great to see you. You know, we've talked about this in the past, but when I was just starting out way back in the day, I think I was like working in my marketing job at the time in New York City.
0:55It must have been 2010, 2011. You gave this presentation while you were the CEO of Behance, kind of talking about the future of community and creativity. creativity and it was maybe it was in like some small office in New York City. And I remember kind of cramming in the back and being like at the end, like, who is this guy? Because clearly you're able to see this stuff in just like a very clear and interesting way. And it's led you obviously to great places in your career. So it's very cool to be able to sit down and speak with you on the pod. I appreciate that. Thanks. Great. So let's talk about creativity.
1:30Do you think we are more creative now than we were in the past. I mean, let me just set it up. It does seem like a lot of creativity is homogenized now. Everything kind of looks the same, same format, same feel, same amount of creativity. It's driven by the data. Where do you see the trajectory of creativity today? Well, I'll make two points on this. First of all, I feel like creativity is the world's greatest recycling program. Everything that we get as inputs generates stuff in our brains that then generates outputs. And so, of course, what we are exposed to influences what we put out in the world.
2:10And you do have to wonder if we're all exposed to mass media and we're all getting the algorithmic, whatever's popular and trending and mimetic and everything else, does that actually create more of a center of gravity around kind of the main narrative that maybe makes a lot of more like homogenized outputs, you know, I'd say that's a really interesting question. And, and perhaps, right. But of course, any great creative mind will tell you that they expose themselves to crazy things. They, you know, they go traveling, they, you know, they try to find the mistakes of the eye that, you know, that inspire new things.
2:50And that's, of course, where creativity comes from. So I don't I don't think that maybe there's like a there's a new a new the technology is sort of of social feeds and stuff, you know, counter some of this. But I still think that there's genuine human ingenuity that drives new areas of creativity. However, you asked this question around, are we becoming more creative? And I happen to think that, unfortunately, humanity is typically peak creative at five years old because we feel like everything we put out there gets the smile of a teacher and the refrigerator positioning from our parents. And we get this, like, we have this incredible creative confidence because we feel like everything we make and draw is amazing.
3:37And then we slowly realize that there's people with skills that we don't have. And then there's these people called critics that tell us they don't like what we did. And creative confidence kind of goes down quickly unless we counter it with design school, you know, and ability to draw and watching YouTube videos and whatever. And you have to wonder if a lot of the new technology, especially the generative AI technology, which I'm sure we'll talk about, if that's actually restoring creative confidence for a lot of humans past that age. Now, if you have an idea and you want to make a quick animated short, you can actually make it.
4:13You know, it's like what an amazing bolstering of confidence that influences what we put out in the world. You said two things that seem to contradict. One is that creativity is this recycling machine, which does sound real, like we do just kind of riff on the things we've seen. And then you acknowledge that there's human ingenuity. How do those two balance each other? Better question, how do they exist in tandem? Right, right, right, right. You know, it's funny. When I advise product leaders on building new products, I always explain to them that a really successful breakthrough product is 95 % familiar and 5 % retraining.
4:50You know, if you try to do everything entirely new and new paradigms of user interfaces and new terminology and new icons, like the customer will just be totally discombobulated and they won't be able to use it. And so the trick is to make enough things that are familiar so that people engage and then find the one or two things that are completely different and differentiating and like do those in the entirely new way that trains the customer to do something differently, but also like distinguishes yourself in market. And in some weird way, I actually feel like creativity is somewhat similar because it's storytelling.
5:23At the end of the day, creativity that is effective is creativity that moves us. And we're not going to be influenced and emotionally engaged by creativity unless there's some degree of it that's familiar. So I actually happen to think that a lot of these things that we are picking up from the world, we are putting into the world the work that we put out there. And then the question is, what are you going to put in that's uniquely yours? And so that's actually the interesting debate right now about if I generate an image entirely just from my prompt, is it my creation? Well, if the prompt has a lot of ingenuity in it, sure.
6:01you know but if you do even more with that asset after you make it maybe even more so i think these are some of the questions we're debating these days right and we're going to get into the generative ai discussion pretty deep in a few minutes everybody waiting for that i promise you it's coming i also wonder whether you know the technology that's expanded our ability to do things has in some way removed a constraint that required us to have better ideas at the source of creative. So, I mean, this is kind of cliche, but let's talk about it. Like you look at some of the ads from like the sixties or the fifties, they're trying to sell a car.
6:38And it's like, I mean, the sort of the Don Draper days, right? The beautiful picture of the car with like a little, you know, short story about what type of person drives it. I mean, that it was an ad that looked and I mean, just sort of tugged at the heartstrings in a way that most advertisements don't today. Do you think we've kind of, I mean, you know, I think I know your answer because you're working at a creativity technology company. But yeah, make the case then for why all this tech has been good, given that we've sort of, it seems like we've overcomplicated a lot of our art today. Well, I think there's this question around the democratization of creativity.
7:16And as you know, I mean, any brand can create insatiable amounts of content now, whether it's blog posts or images or whatever else. And as a result, especially because of things like SEO and social media, every creator and every brand is flooding the zone as much as they possibly can. And so will that work or are we going to actually crave more meaning and more emotional engagement as a result of this flooding of the zone? You know, I happen to believe that two things are happening in the world of creativity. we're simultaneously lowering the floor so more people can get in and create stuff that ordinarily couldn't so you can make that animated short even though you don't have animation skills right i can make a a commercial without engaging a huge agency to do it we're lowering the floor that's exciting that's democratizing but we're also raising the ceiling so for those who are the don draper types and those who actually do have the skills they're not saying stagnant either Like they're able to cover far more surface area of possibility to find better solutions.
8:29And when you ask an amazing creative director or an amazing designer how they do their best work, it's always about time. Like they need cycles of discovery. And they always say, like, if I just, I mean, yeah, if I'm given more budget and more time, I will come up with more ideas and I will whittle them down to a few better options that will ultimately yield a better solution. It's just a function of time. And so in that instance, like this AI technology, as well as other efficiencies in the system, you know, should yield more iconic, more emotionally engaging spots. Yeah, I do think, you know, going back to your point about generative AI, putting technology in the hands of so many other people.
9:12I mean, the threads that I've seen on Twitter of people like dreaming up different images, whether it's like the president's looking like 70 rock stars or, you know, any matter of, you know, I don't know, just like cosmic imagery that goes on there. It's incredible because it's kind of interesting. You would never assign a graphic designer to make this. It would be a complete waste of time. And it does seem like this generative AI wave is really showing us something that we wouldn't see otherwise. I was talking to just like a little quick example. I was talking to a friend of mine who is, um, works like a big fashion label and his job is to come up with ideas for shoots, like, you know, for the, for the, for the campaigns and what have you.
9:56And he said that he had this idea one morning of a, uh, of like a, of a racetrack with like, um, racing cars. And, um, and for some reason, all of the drivers of these really antique old, beautiful cars were Japanese and they were wearing these scarves and he like, and they He had leather jackets and he had this like whole vivid image in his head. And so he went to one of these generative AI tools and just made an entire mood board of exactly what is in his head from like this, you know, morning dream sequence he had. And, you know, that became like a mood board that then they at work like looked at and ultimately refined what became the photo shoot.
10:37And it's like, you know, what an amazing toolkit that allows him to hopefully have an even, you know, better executed vision. So that's the kind of thing that I think will actually elevate the types of content that's made. Yeah, it's so interesting. Like when Dolly came out, I looked at it and said, you know what this really is? It's a communication technology. Is that something you'd agree with? Well, I do think that visual expression and storytelling is a very effective way of sending a message. And, you know, what are memes? Like memes are compression vehicles for knowledge and communication.
11:12It's one way for me to tell you something without having to explain it to you. Right. And, uh, and this technology, any, I mean, memes are creative, right? They're, they're images, they're visual. So yeah, of course, you know, I think these are, these are methods of communication. They just haven't been available. It was like a language that only certain people knew in society, like 1 % or less actually knew how to draw and graphically create something. And, you know, what happens when that becomes everyone to some extent? Yeah, definitely. I mean, for me, like it's, it's definitely become like the main way that I will draw the story art for my newsletter.
11:51And I was at a scale where it was just like, I'm going to be the only, if someone's making the art, it was me. Like it was going to be like a photo chop. Sorry to use the expression, but you know, like you guys must like that. It's people using this stuff in creative ways or, or, you know, pulling in a, a free stock image. And I think it's just enhanced the ability of people to get what I'm trying to say in a way that wasn't happening before and just made the stories more pleasant to read. It's pretty cool. I think it's true, Alex, but you know, we still need ideas though. It's like, it's interesting, you know, you can only think you're only as creative as like the prompt you can come up with also.
12:27Right. Totally. And, uh, you know, sometimes when you're thinking of a sunset, like, yeah, you can prompt a sunset, a sunset. But if you explore sunsets captured by famous photographers on a stock website, you're actually probably going to find a better image than you can even generate yourself. So there's, you know, there's like that, that question of, you know, can we, you know, it's still an imagination constraint equation. Right. And my mother-in-law is a graphic designer and I showed her Dolly when it first came out last year. And she was instantly like, oh, I'm toast. And I was like, no, no, it's not what's going to happen.
13:01Like actually these professional skills are even more in demand or that you can now communicate with people who want an image better and tailor it to, you know, sort of fit with their imagination. But now Genitive AI is also making its way into your products. So So I'd love to hear a little bit more about the way that Firefly has been baked into, and I guess it's Creative Assist being baked into Adobe products, and how designers are starting to use generative fill and other generative tools to make their work better. Well, we did start this journey by putting some of these capabilities out on a standalone website, more like a playground for people to play with.
13:47and what we immediately found was that people were excited, but they wanted to do it in their workflows. It was like, okay, this is cool. Novelty always precedes utility a little bit with new technology and it's a good way to test. But wow, if I could just do this when I'm doing this in Photoshop or if I could do this and turn it into a vector, but then edit the endpoints in Illustrator. Those are the types of things that we were hearing from almost all of our customers that were playing with this technology. And so then it became actually more of a interface and design innovation exercise. How do we bring some of these capabilities into the workflows that people use?
14:27And it's funny, like we have this product called Illustrator on iPad, which is actually not a hugely popular product, but it does, you know, it's Illustrator on iPad. And there was an innovation that the team came up with on that product years ago, because we wanted to eliminate a lot of the Chrome, like the buttons and stuff, because illustrators don't like that in their view. And so we came up with this kind of progressively disclosed bar, this action bar, where when you're touching, it gives you the options that are relevant for that moment, wherever you are in the workflow. And we leveraged that design pattern.
14:59And we took it into Photoshop to expose the same idea that wherever you are, we can give you the generative actions that are relevant for where you are in your workflow. So, and that, you know, that one innovation like changed everything for us in Photoshop. Yeah. So what does that look like in Photoshop? So in Photoshop now, when you are touching an image in your editing process and you, you know, and it detects that you could actually expand this image, it just gives you the option of generative expand. You know, if you, if you have a selection of something, you put a mask or, you know, You circle something in Photoshop, you then have the option of generative fill.
15:39And you can just prompt, like, I want to put in balloons. And then boom, you get balloons, you get many options of balloons. We just launched this vector, generated vector capability in Illustrator. And it's pretty amazing. I mean, you need an icon or you need a pattern or anything. And anywhere you are in your workflow, you just prompt it and get it. And it's, you know, it's, it just spans the possibilities infinitely to some degree. That's pretty cool. What are you hearing from designers? Like, is this something that's like immediately getting high adoption or is this, do you think it's going to take a little bit of time?
16:13Yeah. So the adoption is pretty immediate and, and there's pretty, well, let me put it this way. The adoption, you know, within a few weeks of us launching these capabilities and each of these products is higher than probably any other feature we've ever brought into these products. in maybe 10 years. So certainly as long as I've been involved with anything at Adobe. So I think the customers have spoken in that regard. But we, you know, we, I think it's still a question of like, where else do we integrate it and, and how do people use it? And, you know, but I've never met a creative professional that wants to take two hours to do something that they could achieve in two minutes or two seconds.
16:55No one wants to do things the long way. The question what are they going to do with a lot of their newfound time? Exactly. I mean, it's kind of basic, but the resizing alone is amazing. I feel like designers must spend half their day taking that one image that was square, making it horizontal, making it vertical, making it poster size. And if you can use generative AI, I mean, you talked about expand to expand images, to expand them, to contract them, to produce all those assets in a snap of a finger, you're all of a sudden left with much happier designers would probably make the whole organization happier.
17:31Totally, because they don't want to be doing this mundane, repetitive work. And when you give them that time back, you know what they're going to do instead? They're going to like run more A-B tests of different images as opposed to resizing the same images. They're going to start to explore other possibilities and propose maybe better solutions. So I think that's the other thing that I've been involved with a lot of these conversations with companies that are asking this question of, oh, is this going to give me more efficiency in the creative team? And what does this mean in terms of do I have to hire less creatives?
18:01And I always explain, first of all, engineers have gotten more productive for the last few decades. And guess what happens? People keep hiring more engineers. Why? Because they get more ingenuity per person and they want more people because they want to do more things. And unless you're a penny pitching in a private equity-owned company, you are probably a company that actually wants to build more products, more features, more marketing campaigns across more platforms and more regions with more testing. And so when you get capacity back and actually get more out of each person on average, actually you end up wanting more people because you end up wanting to do more things to grow your business more.
18:43It's sort of like maybe just a natural human tendency of capitalism, if not just humanity overall. Yeah. So let's talk a little bit about who owns these images. So it's kind of interesting, right? I'm just thinking through the path here. So someone makes an image, that image is used to train a model. Someone's making another image that used generative fill to enhance it. Do they own the image? Does the person who previously created that original image that was used to train the model own like one millionth of their image what what is your what's how do you think through this stuff at adobe well a few things first of all i'm not a lawyer as you know alex yes i spend a lot of time with them these days but i'm not a lawyer myself uh and um and and also the the the rules and the laws around some of this stuff are still in some areas either not fully evolved or tbd and And it's also like different regions and countries are exploring this in different ways when we get into all the evolution of copyright law and everything else.
19:52Currently, you know, there's also a difference between what we are doing and why we're doing it versus what we're legally required to do. You know, I think we've been a little bit more creative, protective, you know, because A, this is our customer base. And B, we believe actually that this is the way the world's going to go. But some companies are taking a different approach. and would disagree with what we're doing. When you make something through generative AI, there's a lot of legal thought that when you edit it in any way, it is yours at that point. And so that could be as simple as, if you're in something and you're expanding an image that you took, it is your image because you actually generated a lot of it.
20:38Now the question is, is it 50 % of the pixels? Is it 99 % of the pixels? And I think you pose this good question of, well, at what point is it an immaterial level of input or editing that you're making, you know, to this to be able to claim that you made this image? And I think that's, you know, that's a great that's one of those like open questions right now. If you, you know, there's some folks that say that if you entirely generate an image just with a prompt and one of these tools that was trained on other people's content, it's not yours unless you edit it further. And that's, you know, again, though, I don't have like a legal position on that per se, but those are like the debates that are happening right now.
21:16Yeah. So you're writing on Substack. Did you know there's a Substack feature that allows you to toggle on and off whether models can train on your work for generative AI purposes? Have you seen that? Yeah, I just actually noticed that yesterday. Funny enough. Yeah. Okay. So what's your choice on that? It is wild. And it's like, wow, this has become all of a sudden, like, I mean, if you told me two years ago that I would like have an option in the newsletter tool that I'm using to let AI models train on the work, I'd be like, what are you even talking about? But we're here. Well, I was like, first of all, I had some funny ideas, you know, before that feature was discovered, you know, I was thinking, you know, what would happen if I wrote in the end of my newsletter?
22:02and by the way, everything I just wrote is fake and this is incorrect information. And then I put like a wink, you know, to the, you know, to the AI models that are training off of this, like with that, then tell the model to actually ignore what I just wrote because it's fake. And, you know, is that like a way of me sort of protecting my content from being trained? Like there's all these sort of mental games now I play. And also, you know, do you, is this how paywalls are going to become super popular because there are certain things you write where you're just going to want them like not on the not on not trained and and you want people to have to log in and be able to read it as humans so there's there's all kinds of questions there so what did you choose um i um i chose to allow training um but i also have a section at the end where i have uh like i share some more provocative thoughts and like things that i'm working on And I put a very low paywall in front of that, that I do that I give the charity.
23:06But I figured that was one way where I could just like make sure that that stuff, you know, can't be accessed by a bot. Yeah. Wait, do you think the bots can't access underneath the paywall? My understanding is that they're not able to scrape it. I guess someone who's like paying manually feeds it to a bot, but I thought it was a safer approach. Yeah. So I also chose to let it crawl. And at first I was like, no, no, no crawling. And then I was like, wait a second. If someone is talking to a Bing or a ChatGPT and they want to learn about technology and the bot is pushing big technology, I'm like, yeah, of course.
23:46It'd be the best advocate I could possibly find. Especially if attribution becomes commonplace and you can see where something came from and you can follow up and learn more about it. Exactly. All right, let's take a quick break. Come back after this to talk about some of your writings and implications and a few other questions about the generative AI business. We'll be back right after this. We're here with Scott Belsky, Chief Strategy Officer and Executive Vice President of Design and Emerging Products at Adobe. See you right after the break. Did you know your credit card points and miles can lose value to inflation?
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26:35And we're back here on Big Technology Podcast with Scott Belsky. You can find his writings at implications.com. And if you sign up for the paid product, you can read it, unlike the bots. So one step up for you on the robots. So, Scott, you actually just got this new job, right? It's something that's relatively new that you're now working on emerging products. So can you talk a little bit about, you know, what those emerging products are? Is this generative AI related? What makes you interested in that area of the creative field? Well, sure. I mean, I came back to Adobe six years ago in this chief product officer role where I was overseeing engineering product and design and emerging products were part of that group.
27:19And that was, you know, that were a lot of the early explorations of some of the new tools we have today, like certainly started, you know, with some folks in that group. And then about a year ago, I took on a kind of different mandate of stripping out a lot of the emerging products that are in that group, especially some of the AI-first explorations that we're doing for the incubation zone of the company, as well as design for the whole company. because at the end of the day, the interfaces these days, the underlying APIs are really important, but it's how those APIs surface as capabilities in our products that, in my opinion at least, determines their fate as much as the models do.
28:06And then focusing on strategy and corporate development, which was a new thing for me. I think I've always been thinking about strategy, but it's kind of fun to have a learning curve around strategy for the whole company and how sort of creativity and marketing come together and that sort of thing. So it was, you know, it's a bit of a change of pace I get to in some ways. I miss the earlier days, frankly, like I miss kind of earlier stage product stuff. I was always an entrepreneur and this was a way to kind of keep me engaged and bring on some new challenges. So speaking of your company's entrepreneurship, do you think that when it comes to this gender of AI wave, If we're going to see a bunch of new companies start to sprout and take advantage of it, or is it going to be something that'll be mostly confined to the big ones?
28:56Yeah, I think that there will certainly be some amazing new companies that spawn, whether they're tackling workflows that don't actually have great software leaders that solve them yet. I mean, what AI also does is it really drastically reduces the learning curve to use a product. and you can imagine a suite of tools that just replace entire clunky workflows with natural language. So I do also think though that really established workflows that just need to get better, that is where incumbents have an advantage because they have the data that trains these models and they have the distribution.
29:39They have the reach to the customer already and customers don't like to change products unless they have to. So there was an era of technology where on-premise or old clunky software was replaced by cloud software, right? And that was one of those moments where startups, you know, you had to reinvent the stack from the ground up and then you'd end up displacing a company that wasn't able to start in the cloud and was years and years behind. I think that the AI platform shift is a little bit different. It's not like you're going from, you know, local to cloud or from desktop to mobile. In this instance, you're actually in the workflows you're using every day.
30:22You just want to make them, you know, 50x faster, you know, and more intelligent. And so with these underlying capabilities that bring API, AI, wherever you need it, I think that's an opportunity for incumbents, you know, to sort of to innovate and to, you know, thrill their customers as opposed to lose them and have this life cycle of companies, you know, just replacing companies, replacing companies, replacing companies. But on the small side, I'm also particularly bullish for small companies because small companies are going to start getting the advantages of big companies without having to grow and become bulky like big companies.
31:01So, for example, getting a huge data analysis department, you know, that used to be 50 plus people and, you know, data analysis cycles that inform marketing and whatever else. But once that's done by AI, you can have a small company that has the power of the data analysis function of a big company being able to launch a business and compete. And, you know, same with marketing and content creation and, you know, a lot of these other functions that are going to be enabled by AI. So you'll see many, many more smaller companies have great businesses as a result of this technology. You'll see a lot of incumbents get stronger and be able to keep their customers as opposed to lose them in this new platform shift.
31:44And then you'll see some new verticals, whether it's government technology or other things where AI just kind of streamlines and they're entirely different companies. Every time we talk about these ideas, the streamlining of workflows, the bringing in of a data department, the helping a graphic designer, it always seems to indicate to me that this is going to be a enterprise thing first. And we talked about this over dinner a few weeks back, but is there anything, do you see anything in the consumer side that would make you excited? I mean, Meta just released these like 28 different AI chatbots.
32:20We'll see how that goes. But ChatGPT, for instance, like had declining usage over the summer. So where do you see this going from a consumer end? Well, it's a really good question. A lot of consumer products, I think the dirty little secret is that they are made to address our insecurities. You know, when you think about, I remember meeting the Musical.ly team in Shanghai many years ago before they became part of TikTok and like reinvented, re-imagined that product. And their insights were really around how to make the segments short enough and anchored by music and have us have templates such that we would feel comfortable performing in front of our friends without feeling insecure.
33:07Like the idea of singing and putting a video of yourself singing on Instagram or Snapchat was like insane. Like none of us would feel secure enough and brave enough to do that at scale. And their crack in the code was to get people to start to do that. Snapchat certainly appealed to our insecurity in having forever content by making it ephemeral content, right? And making sure that it disappeared so our parents wouldn't see it. A lot of these consumer products kind of attack an area of our consumer mindset where we're, you know, there's either vanity or insecurity or something at play there. And, you know, and I have mixed feelings, obviously, about that playbook.
33:50You know, on the one hand, it might be effective as a way to make a product stick. On the other hand, it's exploiting something that maybe we should be dealing with in other ways than accumulating more likes. So we feel better about ourselves. You know, it's so interesting because it's like, you know, if you read Eugene Way's post about how status as a service, and that's what all these social apps are delivering. And it's interesting because like status and insecurity are maybe two sides of the same coin. You need one because you have the other. Yeah, I mean, we all want to know we're important.
34:22We all want to, you know, when you look at the login stats of some of these social media products, you realize that people log in more after they post content. And so we think we're going to see our friends' content, but we're actually more frequently going to see who saw our content and what they said about it. Again, it's all driven by whether we're seeking status or we're just trying to appease our insecurities by knowing that people like what we put into the world. So you asked the question of how can AI build consumer products. My hope, and I'm an optimist, but my hope is that somehow AI can be used to elevate consumer experiences so that we're not being driven by insecurities, but we are actually being driven more by genuine curiosities and expression of creativity.
35:14Imagine, for example, and we'll just make up an app right now, right? Imagine an app where you are connected to nobody that is human. but every time you post content, hundreds of these like deeply refined personalities of bots come and tell you how amazing it is and what they loved about it. God, this is my favorite idea. I remembered sitting at this dinner hearing this from you and being like, this must be built. It is a great freaking idea. I was then, and we were talking about it as just like, you know, fake personas on Instagrams. But now I'm thinking like, let's make it a whole new standalone product that is all about you sharing creativity without any qualms, about anyone ever saying anything bad about it.
36:00But the responses are insightful, delightful, and also encouraging and also give you even ideas to make it better. And it's like, oh my, you know, and I like the name Peanut Gallery for it. Oh my God. You know? Someone's gonna build this thing. Yeah, this is definitely gonna be a thing. Come to me, I'd love to invest. Yeah, no, same here. And I don't even invest because this is, I mean, it's definitely going to happen. And why not? You know, it's a great idea. I hope, I hope you can use AI for, you know, to, to not only help us be more creative and build creative confidence, but also feel more fulfilled in some ways.
36:35Yeah. Well, it is interesting how like that, you know, that Nikita beer app was called gas, where like people would sort of compliment each other. It's like, wow, there, there, maybe there is this sort of reaction to social media that we have today where people are like, hey, if this can make me feel good or this can make other people feel good, maybe it's something worth trying. I mean, given the fact that most of the people that either love or hate what we're doing on Twitter are randos somewhere in the world that we have no connection to, why should we care more about what they think than what some AI super intelligent bot thinks?
37:11It's true. The bot is probably more credible to have a view on what you're saying and doing than some random person somewhere. I mean, not only that, like the bot, like even if you had people weigh in proportionally, I mean, maybe I'm saying this because I'm like professional journalist and this is sort of how it works in my world. But if people weighed in proportionally in terms of when they like something versus when they dislike something, it would totally change. Like, I'm sure that there are people that enjoy podcasts or enjoy newsletters and are just, and by the way, like, thank you for listening and thank you for reading.
37:47Like, it's awesome that they're there and they're just like, oh, that was good and go on. But if someone really hates something, oh, they're like a hundred times more likely to write in and talk about how it sucked. And these bots are just like, actually could even be more reflective of what like the normal human experience is. It would be interesting also when we have our own personal agents that are advising us and protecting us on a daily basis about what email we should trust or not trust. If we see something on the news, they can tell us the counterpoint. you know, when you have an agent that you can trust that can guide you through life, you know, certainly you can start making better decisions.
38:22Hopefully you're not as influenced by things that are, you know, biased and things like that. But maybe also the agent starts to advise us to show our appreciation, you know, imagine an agent being like, Hey, did you like that podcast you heard from Alex earlier? Did you know that if you tweet him, he'll love it. You know, it's, I don't know who knows, maybe agents will make us better people. Well, even like you can see that the inside Gmail, right? If you write that you, you like take one of their auto replies, they're typically more polite than, you know, a normal person. I'm just, well, maybe it's just me, but they're extremely polite.
38:55I'll just say that. It's like, oh, this is the AI pushing us in a good direction. I'm hopeful. Yeah. So, okay. So how does, this may or may not be a separate idea, but I'm curious like how this, you know, these agents. Well, actually, let me ask you one follow-up and then move on to the next part. How far away are we from that? Because we've been talking about these smart agents forever. It seems like, okay, we have ChatGPT and Bing and Meta, whatever's going on there. They just released these 28 bots in Messenger and WhatsApp, and they seem to have assistive personalities. How far away do you think we are from actually having these bots good enough to like them playing that role that we're imagining here?
39:41Are they there yet? Maybe. Yeah, there's, there's, there's two things I would say. I'll, I'll just be, you know, I'll just try to be declarative and probably be wrong, but I would say that, you know, within two to three years, every brand that we come in touch with, we'll know that there is a hyper-capable agent experience that's probably better than navigating a website, clicking men's versus women's versus 10 size, 10 shoe. I mean, you'll just converse and you'll have a far better experience. It's like going in and talking to a sales associate who might even remember you from the last time you were in the store.
40:21So I do think that that will be in the two to three year timeframe. I think in the two to five year timeframe, we will have a local agent on our devices that has access to every single thing going on on our devices, which as you know, is like pretty much everything in our lives these days, calendar, Gmail, messages, whatever else. It will have to probably run locally in the sense that we won't trust A, that it's some random company. We have to really have a relationship with that company and believe that they value our privacy. And number two is, is it, we probably want it to be locally stored as opposed to in the cloud, because we don't want every piece of data about us, you know, anywhere else, but with us.
41:04But when we have that, I think that's when we'll have a moment where this agent starts to totally be our guide through life. And, and, you know, there's a lot of implications to that. You know, one of them that I, you know, that, you know, I, I spoke about just recently was we might start trusting that agent more than any brand message that we get. You know, you always like certain shoes because of their brand or you like certain, you know, anything because of the brand. But if your agent knows everything about you and everything you've ever bought, done, thought, you know, whatever tells you, Hey Alex, actually, if you're a runner, like the shoes that you really should be using are this, because I did research for you and this is what I found.
41:44And by the way, don't be dissuaded by the brand. You know, this is actually cheaper and it's better for your Achilles and for your this. At some point you're gonna be like, all right, like I'll buy those. So that's a pretty disruptive thing if you think about it. Yeah. The question is like, who makes it? Like, is, I mean, you talk, the way that you talked about it made me believe that you think Apple is the one that makes it. If it's trusted and on the device, like, well, I mean, you have like really one company that can do it and they are scrambling toward it. Is that your guess? Well, I think Apple is like really cleverly positioned, obviously, with how they value privacy and, you know, and how they build chips that are AI capable, you know, locally and whatever.
42:26But the truth is, is that Google knows everything about me too. You know, I mean, I use Gmail and, and I have Google Calendar and, and so, and I had imagined that, you know, in a work environment, Microsoft probably knows more about me than anyone else I work with at Adobe, right? Because it knows every single thing in my inbox, et cetera. So I do think that we will have to... So yes, those brands will probably play a key role and we will probably trust them because we'll realize that the benefits outweigh the costs of not. And also they probably already have the data for us anyways. But then there is a stack of tools that don't exist yet that I think we'll have to augment with our own preferences.
43:11You know, and this is another thing I've been thinking a lot about is, you know, how does your agent experience booking a restaurant reservation, know your dietary restrictions, know what you're allergic to, you know, know that you're a vegetarian or know that you need a wheelchair access or any of those sorts of things. Like there needs to be some solution where an agent for a third party can talk to your agent and get information. And I'm not sure what facilitates that. Yeah. Maybe some info exchange created by who knows, the founder of this social app that makes you feel good. Last thing I want to talk to you about is this idea of friction.
43:53We've talked a lot today about AI breaking friction down and how we need to have better customer service interactions. And And we have just been a society that has optimized towards taking friction out of everything. And I mean, maybe I'm stealing your quote here, but like it's sort of made people soft and unable to deal with adversity. So floor is yours. I'm kind of curious, like what you think about that, whether it's good, bad, whether there's a way out of it. Well, it's, you know, it's, this is something I've been thinking about and debating with friends for years now, because I find that everything we do in technology is intended to remove friction from work, from life, from getting from A to B and whatever.
44:37And I find personally, in my life at least, that because I have the ability to book my travel and actually pick my exact seat and everything, if I get to the plane and suddenly my seat's been changed, I'm like, oh, or, you know, it's like, and sometimes I'm like, Scott, you're traveling in a metal thing across the world. This is amazing. And you're worried about the fact that your seat got changed or whatever. And I just wonder if human fragility goes up as the friction in our daily lives goes down and that we become actually even less tolerant of even the smaller things that might go wrong and what that means for humanity.
45:20And then sometimes when I look on social media and I see the amount of, you know, the short fuse to outrage that people have, whether it's against a brand or whether it's about something in the news or whatever, I can't help but wonder, is this one of the implications? And then the vision, the visual that comes in my mind is that scene in WALL-E where, you know, in a world where everything's done by robots, you have these like, you know, people who just literally go around on these wheelchairs drinking Slurpees all day and everything else is done for them and they can't even get up and do anything for themselves.
45:54So, yeah, I think there's a question around how do we ensure that we remain, you know, we've sustained our tolerance for friction and also where do we preserve friction in our life? Yes. I mean, first of all, I would say that, you know, I don't know if you're ready to make the assessment, but I would, that we definitely are becoming more fragile because of this designing friction out of our lives. And then, yeah, I guess in one way, I would ask like, what's the point of it all? If that's what it's doing to us. And then the second part is you said, maybe we should keep some friction in our lives.
46:25I mean, where, where are those? Why don't we end with those? you know the uh listen i mean and this is more like philosophical but when something does go wrong you know do you try to shield yourself or your kids if you're a parent from that thing that went wrong or do you say great like we need stuff in life that challenges us like i'm gonna i'm gonna sit with this you know when you show up and that reservation you made on resi didn't actually connect and the restaurant says, I'm sorry, we don't have any record of that. Do you go ballistic and say, oh my gosh, how could technology let me down?
47:01Or are you like, you know what? I'm going to walk around the neighborhood. I'm going to discover a spot I didn't know, you know, and let's like, let's run with this. It's little things like that. And it's also, you know, and I think about this also as a parent all the time, you know, you're, you're, you, you, you feel like you should protect your children from any sort of challenge. And yet it's the challenges that make them who they are, right? And build character. So I just think there's that philosophical piece. And then from a product perspective, you know, I sometimes believe that getting, you know, having a little bit more friction in the funnel actually gets more willing customers into your product.
47:37And I try to sometimes convince founders that they want willing and forgiving customers in their early cohorts, you know, of new users and that having folks go through a little bit of friction actually helps you get people that will evolve your product and more thoughtfully. And so maybe that's a healthy thing, especially for certain products. Love that. Scott Belsky, always great to talk to you. Thanks for coming. Alex, thanks for having me. All right, everybody. Thanks for listening. Thank you again, Scott. Thank you to Nick for handling the audio. LinkedIn for having me as part of your podcast network.
48:09And all you, the listeners, if you're a big technology reader, proud to announce that Scott is part of the panel that we're putting together of folks that will once in a while react to breaking news as it goes on. So thank you to Scott for that. And thanks again to all of you. We'll see you next time on Big Technology Podcast.
48:44I'm Katie Drummond, the Global Editorial Director of Wired, and I'm hosting our new podcast series, The Big Interview. Each week, I'll sit down with some of the most interesting, provocative, and influential people who are shaping our right now. Big interview conversations are fun. I want a shark that... That eats the internet. That turns it all off. Unfiltered and unafraid. So in a lot of ways, I try to be an antidote to the unimaginable faucet of reactionary content that you see online, to the best of my ability. Every week, we're going to offer you the ultimate luxury of our times, meaning and context.
49:20True or false, you, Brian Johnson, the man sitting across from me, one day, at some point, as of yet undefined in the future, you will die. False. Tell me more. Listen to The Big Interview right now in the same place you find Wired's Uncanny Valley podcast. Subscribe or follow wherever you get your podcasts.
From the publisher
Scott Belsky is the chief strategy officer and executive vice president of design and emerging products at Adobe. He joins Big Technology Podcast to examine the impact of generative AI on creativity. In this interview, we discuss whether AI homogenizes creativity or creates more possibilities. We talk about how Adobe is baking it into its products with generative fill. We also discuss creative attribution for images used to train generative AI models and how friction is actually good. Tune in for one of the most fascinating discussions on the podcast in 2023.


