Everyday AI Podcast – An AI and ChatGPT Podcast - EP 331: Why Fear of AI is Stifling Adoption

Episode Date: August 7, 2024

Win a free year of ChatGPT or other prizes! Find out how.If you're scared of AI, should you avoid it? The wait-and-see approach isn't gonna work. Fear of AI? Here's what to do about it.... Lauren Ingram, Founder of Next Big Thing, joins us to discuss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Lauren questions on AIRelated Episodes: Ep 224: AI and its Impact on Society – How it might lookEp 225: Use AI To Break Things with Entrepreneur Magazine’s Jason FeiferUpcoming 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.  Impact of fear on AI adoption.2. Role of diversity in AI adoption and development.3. AI's future for the younger generation.4. Steps to get involved in the field of AI.Timestamps:01:45 Daily AI news04:45 About Lauren and Next Big Thing07:11 Business leaders facing challenges implementing evolving technology.11:18 Media needs to allay AI fears, inform.12:51 Concerns about AI displacing jobs in businesses.15:18 AI information overload requires new perspective.18:54 Diversity in AI companies leads to profit.25:05 Understanding technology is crucial for senior leaders.26:35 Demonstrating use is powerful in adopting technology.29:25 Engage youth in AI, prepare for change.Keywords:Lauren Ingram, Jordan Wilson, AI information, staying updated on AI, jobs at risk, diversity in AI adoption, female AI adoption, diverse leadership, internal education, inclusivity in AI, AI benefits, natural language, ChatTpT, understanding of AI, fear of new technologies, getting into AI field, younger generation and AI, AI and cheating, fearing AI, AI journey, lack of diversity, fear of AI, job displacement by AI, media and AI fear, everyday AI, ByteDance AI video app, Dell, Intel, OpenAI, Next Big Thing.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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Starting point is 00:00:00 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. I get it.
Starting point is 00:00:47 AI can seem like the big bad wolf, right? It's hard to understand. It's always changing. And that might be reason that some business leaders don't even dive in. Maybe you say, oh, let's just wait for one of our competitors to figure it out and we'll follow their lead. But actually, the fear of AI is just holding you back. It is stifling adoption. So that's what we're going to be talking about today and more on everyday AI.
Starting point is 00:01:18 What's going on, y'all? My name is Jordan Wilson and I'm the host. And this show is for you. This is your daily live stream podcast and free daily newsletter, helping us all learn generative AI so we can leverage it to grow our companies and to grow our careers. So if you are in the position where you've been wondering, like, oh, are we actually going all in on AI like we should, we're going to be tackling some of those common hurdles and roadblocks today on maybe why you haven't and some of the downsides. All right.
Starting point is 00:01:48 But before we get into today's conversation, which I'm excited to have our guest on the show, we're going to start as we do by going over the AI news. And if you haven't already, make sure to check out the show notes in your podcast for our website, all the links in there. So go to your everyday AI.com for more on the news stories today and our podcast interview. All right, and you got to join our thanks, a million giveaway while you're in there as well. All right. So for AI news today, a lot going on. ByteDance has launched an AI video app to rival Open AIs SORA. So ByteDance, the parent company of TikTok, has released Jiming AI in AI software that generates
Starting point is 00:02:29 videos based on text prompts, joining the ever competitive AI video generation race that we have going on. So the app is developed by ByteDance-owned FaceU technology was made available on the Chinese app store on August 6th with no official word yet on availability outside of China. So the release comes as Chinese tech companies race to compete with Open AIs SORA model, which was showcased in February and is still in limited testing phase. All right. Next piece of AI news, computing giant Dell has laid off more than 12,000 employees to, focus on AI. So Dell has announced a significant reorganization of its sales division, which includes layoffs aim at modernizing operations and increasing focus on artificial intelligence. The company
Starting point is 00:03:20 plans to centralize sales teams and created a new AI focused sales unit as revealed in an internal memo reported by business insider. So approximately 12,500 employees, which is about 10% of Dell's workforce are expected to be affected by the layoffs. So yeah, pretty big news there out of Dell. Last but not least, a new report showed that Intel missed a billion dollar opportunity with Open AI. So a new report from Reuters showed that about seven years ago, Intel had a chance to buy a 15% stake in Open AI for only $1 billion in cash. So discussion, between Intel and OpenAI took place over several months in 2017 and 2018, and Intel ultimately decided against the deal partly due to then CEO Bob Swin's skepticism
Starting point is 00:04:18 about the near-term market potential of generative AI models. In Open AI was interested in Intel's investment to reduce reliance on Nvidia chips and build its own infrastructure. The deal also fell through reportedly because Intel's Data Center unit did not want to make products at costs. So Intel's decision not to invest in OpenAI, which launched ChatGPT in 2022 and is now valued at almost $90 billion has not been made public until now. So yeah, looking back at it, considering that, you know, Microsoft reportedly invested $13 billion for a 49% equity stake, that $1 billion for 15% is looking really good right about now.
Starting point is 00:05:02 All right. So we're going to be having a lot more on those stories and more. So make sure you check out the newsletter at your everyday AI.com. All right, enough of me blabbing on about what's happening in the world of AI. Let's bring on a guess. So, I mean, one thing is that you have to understand is AI is constantly changing, but that doesn't mean you should be scared. It doesn't mean you should be fearful of it. All right.
Starting point is 00:05:25 So please help me welcome on the show. There we go. We have her. So we have Lauren Ingram, founder of Next Big Thing. Lauren, thank you so much for joining the Everyday AI show. Amazing. Thank you for having me. I'm a long time listener. So it's exciting to be joining the show. Love that. Love having listeners on the show. Lauren, could you tell us a little bit about next big thing? What is it that you do there? Totally. Yes, we are helping people understand the kind of what's coming down the pipe, what's coming next. At the moment, our current obsession is AI. Before that, it was kind of Web 3 blockchain NFTs while that was the big hype. And then whatever comes next, because, you know, chat GPT really took people by surprise. And whatever comes next next next next next next next next next next thing in like, whether it's six months a year, two years from now is also going to probably scare people and they'll need help navigating that stuff. And so next big thing does that by things like we have in person events. We have a podcast also called next big thing. And it's basically about sort of
Starting point is 00:06:18 breaking the stuff down, making it way easier to understand, and again, so they don't feel afraid of it. And we should probably start by saying this, right? Like, AI adoption varies greatly by where you are, right? So we have a global audience here in the US. But, you know, Lauren, are you mainly working with clients in Europe? Are you working with clients everywhere? It is all over. I suppose our community is global. In practice, a lot of what I'm doing is here in the UK. I'm based in London. But I think actually probably Europe and the UK is probably a little bit slower on the AI adoption piece. And actually any kind of emerging technologies, the US and Silicon Valley does tend to be streets ahead in terms of that adoption and conversation around it and sometimes legislation too. And maybe it's important to even start there because I think at least here in the US, I'm based in Chicago. It seems like most big businesses by now, you know, kind of at least have their first AI strategy or,
Starting point is 00:07:18 their first AI implementation already figured out. So when you talk about businesses in the UK, where are business leaders minds at in terms of artificial intelligence? Because I know that, you know, as an example, the EU AI Act, there's a lot more kind of restrictions and policy based around it. Where are business leaders minds at when it comes to AI implementation? I mean, I think the honest answer is it's a bit of a hot mess that leaders are under a lot of business leaders are under pressure. to try and sort of create a strategy and implementation around a moving target, right? That like the actual technology is changing constantly. There are new updates being announced literally every day.
Starting point is 00:08:00 And so you're trying to create sort of rules or a structure around, yeah, something that's literally moving, like a moving train. So it is a bit of a hot mess. And I do actually feel a little bit bad for business leaders in the moment, at the moment, because I think they are struggling. So you've got these quite scrappy working groups. especially in say a larger business, it might be quite a slow moving working group, and sort of trying to pull in the right people, trying to pull in legal, and just sort of trying to make
Starting point is 00:08:27 things happen. And actually one of the issues I'm seeing there, maybe this is getting a bit too granular, but people aren't thinking about the who's in the room in that working group in terms of having a sort of diverse group of voices represented. It's just a kind of like whoever's available or whoever knows a little bit about AI already. And actually, for the most part, they tend to be very male and just not particularly diverse group of voices and backgrounds who are making really important decisions about what's coming next for like a whole business and a whole, you know, how it monetizes the whole strategy. So I just think 2024 is such a key time for every business that is trying to AIify. And so I think people need to try and be thoughtful
Starting point is 00:09:10 about, you know, what they're building next, how are they going to do it, rather than just sort of chasing the dollar signs, which I'm seeing quite a lot of. There's a lot of business leaders getting FOMO and, yeah, they are focused on those dollar signs and running after that. You know, and I definitely want to dive into, you know, Lauren, what you were just talking about there, about the diverse voices or lack of diverse voices. But actually first want to kind of skip to the end of this and ask you the big question, why do you think that there is this big fear of AI and why or how is that fear actually stifling a doubt? option. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience.
Starting point is 00:10:01 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
Starting point is 00:10:39 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. Well, I do think that the fearfulness is somewhat legitimate. There really is a possibility of losing your job to AI, not quite as directly as that. It's not like a robot is literally going to take your job. But things that were a sure thing a couple of years ago, it aren't a sure thing anymore. So there is some legitimate fear there,
Starting point is 00:11:27 but I do think it's really been stoked by the media that newspapers gain clicks out of, you know, playing into that fearfulness of like, we're all going to lose our job. And it's all quite extreme language. It's all very, it's all quite heightened. And even some of it, like the Daily Mail, which is a big UK thing that I think is globally known,
Starting point is 00:11:46 globally known for stoking tensions of any kind. And, you know, they talk about things like the job's bloodbath, So you're literally using this really violent language about, what we're talking about was like this automation. Like it's not necessarily violent at all. And so I do think, I think it was a mistake to get people so like whipped up, whipped up into a frenzy about it of like,
Starting point is 00:12:09 oh my God, the whole world's going to end is what some people seem to be feeling like. And yeah, I think the media has definitely had a big part to play in that. And I think they need to do a bit of allaying those fears at the moment. Not just the kind of opposite extreme of like a kind of recently all the headlines seem to be about making sure that AI is making enough money compared to how much is being spent on it. So yeah, it can't be, it can't only be about the most extreme stuff.
Starting point is 00:12:37 I think people just need to better understand the technology a little bit better, what it means for them, but also the kind of, yeah, the real stuff. Like, yeah, what does it mean for me? What's the acronym? Whiffam? What's in it for me, factor? And I know, you know, newspapers probably don't get as many clicks and sales out of things that make you feel good. But that's what I'm trying to push for anyway. Yeah, I think I think you bring up some great points there, Lauren, and I'm excited to dive into these. But, you know, as a quick reminder to our, our live stream audience, thanks for joining in. So, you know, Jay and Woozy and Tara, Josh, Christopher, everyone else.
Starting point is 00:13:16 Thank you, guys. If you have a question, please get it in now. So I do want to go talk about this, this fear. a little bit because it is warranted, I guess, right? Like I think I even started the show out by saying, oh, you don't need to be afraid of AI, but I'm like, oh, okay, when it comes to job displacement, I guess you kind of do, right? Like we even talked about, you know, the story there with Dell in those 12,000 jobs. And, you know, even people, I think originally weren't worried about like, oh, you know,
Starting point is 00:13:45 I'm not worried about an actual robot AI taking my job. But then we saw news from a figure yesterday with their figure. 02 and it showed off a robot literally working an assembly line for BMWs and being able to see and hear and understand and talk and think, right? Like it's wild. So even on that point on job displacement, I don't want to go too deep on this because I talk about this often. You know, what are you saying to clients or, you know, colleagues that are maybe asking you about like, oh, is AI going to take my job? And is that fear of AI taking their job actually the thing. keeping businesses from using it and understanding it.
Starting point is 00:14:25 Yes. There's a lot to unpack there. But I suppose my main thing that I tell businesses and individuals is around trying to engage with this stuff. Like, don't bury your head in the sand because actually that's probably the most dangerous thing you could do at the moment is ignore the potential of AI. Because it's got amazing potential in terms of, you know,
Starting point is 00:14:45 you can upskill in this new thing. I think it's been really important to upskill for whatever's coming next. none of us can really predict what's coming. There is the opportunity even for job creation around AI. And obviously AI has been around for a long time. I know we talk about that sort of thing a lot, but this iteration of generative AI is still pretty new. And so there are new jobs, new kind of head of AI roles
Starting point is 00:15:09 or head of emerging tech, anything like that. Anybody will be expected to use AI successfully in their job in order to succeed in their own right. So that AI literacy piece, I think is really, really important. So, yeah, not bearing your head in the sand. And the overwhelm is also, yeah, really, really getting in the way. I think people are some, some people are getting really stuck with it, actually, is because we're seeing all these news headlines,
Starting point is 00:15:36 even if they're not kind of extreme, it's the, it's the sheer amount of news headlines around like, okay, you know, Lama, blibar iteration has come out today. and then like an hour later, it's like, okay, Claude Sonnet 3.5 is out and here's what that means. Everything is like minute by minute updates and people are tired. They don't know what to do with all its information. Like how can you possibly stay on top of all of this information about AI? It's not to say they're bored. They've got like information overload.
Starting point is 00:16:06 You know, when you get, yeah, if you're told a lot of new things, you probably do get a bit like hold up. I just need to process all of that. And there's no processing time with the speed of change in AI. So again, I do think it's this kind of like quite critical moment to try and get people on board with the opportunity rather than the kind of like, right, it's over for you and your job. And thinking about, okay, so if aspects of your job can be automated, you know, which things do you find boring or, you know, repetitive and what can be automated, how might that actually be a big advantage for you? You know, how could that help you do your job better or you could become more senior or could you use that to build your own business? there's like all of this is just this untapped potential and unanswered questions and I would love to help people get curious about that stuff rather than yeah as I say as stuck as maybe they have been
Starting point is 00:16:55 feeling and and actually again just returning to the media point is not to say I don't think we should be reporting on all these minute-by-minute changes it's just more like not all audiences want that level of detail so like for us for the next big thing we actually don't tend to do that kind of reporting style because for our audience specifically, because we have such a big focus on making it less overwhelming, get rid of the jargon, just kind of like just what's the most important relevant information. I mean, I'm even sort of advocating for like slow AI of like, don't tell me all the news bit. I'll stay on top of that as Lauren because it is my, it is my job to stay on top of it. But for our community, I can just tell you just the most important
Starting point is 00:17:34 bits as and when they appear. They're like, even if you were told about these latest updates two weeks after the fact, would it actually be that much of a disadvantage, right? You'd I mean? Like, you would just feel late to the party. You would just be feeling the phoma. You wouldn't actually, would it really have that much impact if you didn't find out about it in time? That's a good point.
Starting point is 00:17:53 Yeah. And it's something I even personally find myself struggling with, right? Maybe it's probably different for me than the average, you know, person having to talk about AI every single day and having to stay up on it. But I get your point. Yeah. Like, okay, if you're a business leader and you wait a wake or. like you wait a week or two or you're a quote unquote week or too late on, you know,
Starting point is 00:18:14 the newest model. Is it going to, you know, set your company back? Probably not, right? Although you, I think, still have to be familiar. One thing that we started to talk about a little bit more and that I want to dive into a little bit more is just the diversity of voices needed and how maybe that lack of diversity is also stifling adoption. Can you talk about that a little bit more?
Starting point is 00:18:39 Of course, yeah. I mean, speaking to the kind of women piece, because when I started my business, I called it women of Web 3, because I was initially interested in things like NFTs, blockchain, etc. We've now kind of broadened out to be called next big thing, but a big base of our community or audience is women. And we are seeing women adopt a technology slower than men. And part of that is this fearfulness we've talked about. So I think it's 38% of women are sort of trying out AI in these technologies versus 56% of their male peers. So there is quite a sort of a difference in terms of who's adopting this stuff, playing with it, and then evidently going to go and make the products.
Starting point is 00:19:22 Like, you know, all the biggest next businesses in the world, and if they're not just kind of reiterations of the current biggest businesses in the world, are mainly going to be run by men. not saying that's terrible in and of itself. I would love to see more women going in actually sort of, yeah, building, founding businesses in this stuff. Because again, it is, it is stifling adoption. If you have a lack of diversity in who's building these products, because if you start, you start diversifying who's in the room making really important decisions, say like, you know, whether it's like board level or those AI working groups I was talking about, if you have diversity
Starting point is 00:19:56 of thought, diversity of background, you're going to make better products because you're going to better suits the needs of more people. And if you think about it in really, like, mercenary terms, you could make more money if you speak to more people, right? If you, like, if you build with everybody in mind, you get to sell to everybody. So I see that, actually, again, as a massive opportunity. Like, if you don't have more women and more diversity of thought in AI companies, and especially at sort of towards leadership level, you're leaving money on the table. I really believe that, that it's not just a kind of, like for me, there was a sort of moral obligation around the inclusion piece, but not everybody cares about that and not everybody should be made to care,
Starting point is 00:20:35 but money talks, like, people can make more money if they, yeah, build products that speak to everybody. And I think that's just such a, like such a positive opportunity. What can be done about that? Because that's a huge disparity. And, you know, I'm even shocked to hear about that where it's, you know, I'm not good at math on the fly, but it seems that's like 75-ish percent higher adoption rate in men than women that you just talked about there. So maybe for business leaders who are trying to implement generative AI in their department, in their companies, et cetera, what can be done to have a little bit more of that diversity, right?
Starting point is 00:21:19 Like if companies, as an example, open a certain large language model up to the masses, how can they make sure that more diverse voices are coming to the table? Yes, and also I can see lots of comments coming in after we've just been talking about this. So that's great to see that it's resonating. There's loads we can do to sort of diversify, you know, who's in the room and what's being made and what that means in terms of an AI strategy. And one of the first things is that kind of internal education piece. So partly AI literacy itself, but partly trying to bring everybody on that journey of getting people excited, curious and and trying to get rid of that fear in order to get everybody on board and sort of wanting to
Starting point is 00:22:05 participate in building what's coming next. Because again, around that, when you talked about the sort of stifling adoption, if you do get people that are kind of sticking the mud about it or, you know, they can't engage with it. Yeah, they will get left behind. And so that for me, that's a sort of serious fear about women being left behind. And to side note, a lot of women I know that not in the tech industry at all, are really quite sort of ambivalent, even like apathetic about the idea of using AI. And I think part of that does stem from the sort of fearfulness or like, oh, but I'm not an engineer. You're like, well, I'm not engineer either. I'm a marketer. But I see this stuff as really important for, for business, aka society as a whole,
Starting point is 00:22:47 all of this stuff is really important. So to help to support that, businesses, as I say, needs to be bringing everybody on that journey, being thoughtful about, yeah, who is in the room, who's and you know maybe that can end up turning into a box ticking exercise but I think it's worth having the thought process around it or at least a conversation about it of like who who are we bringing in you know partly which departments we're depending on how big or small the business is and partly yeah who is in the room and just being thoughtful about it um having less jargon like anything um anything that we can do to make technology seem less confusing the better, because I think actually that that was one of the really big benefits actually of AI is that unlike a lot of the
Starting point is 00:23:34 other emerging technologies out there, it's people can more easily see the benefit of it. So like when if you start using chat TPT, for example, or any of the major platforms, because you're using natural language, it is actually a bit easier to kind of get going. I think people get hung up on the idea that they need to know what's inside the black box of like, how does it work? Like, what, what does LLM stand for? What's the difference between that and something else? And actually, don't get hung up on the jargon and the acronyms. Most people will never need to know the difference between that stuff. Like, go and learn it so that you're just sort of feel more on top of it. And then don't worry about it. Just like, just go and use the technology. That's, that's kind of my
Starting point is 00:24:15 my main advice to people is like, just go and dabble. Because as soon as you start dabble and you of go, oh, it's quite useful for that, or like, oh, it made a mistake there. And so there's, you know, you can do, you can do courses for this stuff. And I do actually proactively tell people to go and do AI courses, you know, free or paid. But going and dabbling is probably the most important part is like, just go and see for yourself. And as I say, the natural language piece, and I probably would say this, because I studied linguistics at uni, so like I care about words. The idea that you can sort of tell a computer to do what you want is different than just going, like, sort of clicking these pre-made buttons. You can actually
Starting point is 00:24:50 have some back and forth and say, oh, actually not quite that. I actually meant this. And it's much more easy and kind of more fun than doing something like Googling where you're trying to create weird strings of words and like, you know, minus whatever it is, minus XYZ, so you don't pull in the wrong results. It's a conversation with a computer in order to get what you want. And I think that's really powerful. How can how can business leaders and individuals find the balance, right? Because I think we're kind of talking about, you know, two different pieces here. So as an example, you know, you recommend and not spending too much time worrying about the black box of generative AI, but then at the same time, you know, talking about AI literacy can get
Starting point is 00:25:30 rid of the fear. So how do you find that nice balance of actually understanding enough to get the most out of generative AI for your company, but then also not drowning in the constant jargon and updates? Good question. I guess the more senior you are within a business, you probably do need to know more about what's in the black box, not because you'll be expected to use it, but because, yeah, you will be expected to sort of better understand these concepts in order to then sort of be building strategies and ways to implement it off the back of that. But for probably 90% of people, you know, just anybody else in a business,
Starting point is 00:26:09 you won't need to know, like, as I say, you'll never be tested on this stuff. I would hope not. I would hope people aren't being tested on this stuff. It's like, it does not matter. a lot of the kind of ins and outs of it. I know you care a lot about helping people learn to prompt better. And that stuff is so much more important is the like, how do you get the best of this technology
Starting point is 00:26:28 to get what you want out of it, to be more productive, to cool stuff, to be more creative, even using a robot. That for me is the balance should shift on that side. It's like just, yeah, when I talk about AI literacy is less about the understanding the, any kind of technical updates or, yeah, I would sort of almost ignore a lot of the detail and just think about, okay, what does this mean for me, my role, what impact I can have?
Starting point is 00:26:58 And, you know, we have a couple great questions here related to just that, Lauren. I love what Tara here is asking. So she's saying, what are some strategies that help with decreasing the next big thing, fear? Strategies that help. part of it is that just kind of going and trying out. Is there like there's an element of like, you slightly have to force people of just kind of,
Starting point is 00:27:24 you know, just get everybody literally like using it or even, sorry, demoing it is probably less, less heavy handed than forcing people to use it. But I think there's something really, again, powerful about just showing people how you use it because if you remember, well, I can't really remember the moment I started using the internet, if you were just, you know, if you've never used the internet before, whether we're talking about the 90s, naughty's internet, or if it was today and you'd never
Starting point is 00:27:47 used it before, you wouldn't know how to get started. There's obviously so many things, amazing things you can do on the internet online and what the platform, but how would you go and find those and start using those to, like, to your advantage? You would be looking at this sort of blank screen in a way. And so you would, you kind of need to be shown by whether it's your peers, you know, your colleagues, whatever, of like, oh, I've found this thing and this is really helpful. And just, yeah, literally demoing it.
Starting point is 00:28:12 So I try and do as many little demos, even if it's, like, down the pub or, like, showing my mother-in-law, whatever it is, just like showing people all this stuff, because then they can start being like, oh, is that all it is? Like, I remember talking to my cousin at Christmas, and she was asking, she was like, oh, has your job kind of changed? And I was trying to describe what I do. And so I give different answers according to who I'm speaking to, sometimes an AI consultant, sometimes I'm a, I can't remember what I call myself. but I just said to her, I was like, oh, I teach people about chat GPT because I was thinking maybe that's like vague enough that it kind of makes sense. And she was like, oh, like the what? I was like, oh, like AI. And she was like, oh, I don't really know about that.
Starting point is 00:28:52 And I was like, okay. And I actually didn't sort of know how to further the conversation at that point. And she was like, oh, I think my kids use that for their homework. So it was a, yeah, you do need some, what's the word, like common ground to be able to sort of get going. But yeah, demo is always super helpful. All right. And I think we have time for one more quick question here from Melissa, asking what would be your advice on someone getting into the game or the AI game?
Starting point is 00:29:18 And what's your advice on getting the next generation ready for AI? Ooh, another great question. Thanks, Melissa. So getting into the game, I would say, don't pressure yourself to know everything. I know that's sort of similar to what I said before. But it's fine to take baby steps. So as I say, free course, paid course. go and do the PPP course, just kind of get started, maybe commit to even like just tell
Starting point is 00:29:43 yourself I'm going to learn for five minutes every day and then inevitably you'll end up spending longer than that because it's fun. And I would also importantly share your learnings. If you can be sharing that whether it's like just within your own, literally like your team, like I'm going to share with the other marketers in blah blah company or I'm going to share it on our internal platform or sharing your learnings on LinkedIn. in, be like, oh, I didn't realize, you know, chaty-pity hallucinates if you try to get it to do this. And then when people start seeing you talking about AI, they instantly, well, they see you engaging and you actually end up becoming a sort of a bit of a thought leader, whether it's in a
Starting point is 00:30:17 sort of, as I say, the baby steps sense, you're not going to be like an instant AI expert, but that's okay. And in terms of advice of getting the next generation ready for AI, I think the younger generation, like, say the kind of tween ages of today, they're actually sort of primed and ready to like get going with this stuff. They don't have the same hangups as we do about some of this stuff. Like it's very natural for them to kind of get going. And so again, it's about a lot of it's about constant a mindset of like getting people curious about this stuff.
Starting point is 00:30:49 And maybe if you are like I say a parent trying to understand what your kids' schools, what their approach is to AI because like it is going to be like a bit of a wild ride over the next few years trying to work out like how do you, yeah, how do you. you get kids to do homework if a chatypte could give a perfect answer. And, you know, kids, kids will do some cheating in the same way as, you know, we would try to pull in Wikipedia answers into our essays. It's the same problem. But I think there'll be teachers doing things like, they'll say, okay, use AI to generate
Starting point is 00:31:22 the perfect answer for your homework, bring that in, and then discuss it how you'd make it better or more like, like, you know, your version of things. And so to kind of do the automation yourself and then, and then, you know, add the human creative, exciting bit. I love that. So, you know, Lauren, as we wrap up here, because we've gone over a lot, we've talked about, you know, strategies to get over AI overwhelm, how AI literacy can combat AI fears, and how bringing more diversity to the table can help in the long run and the short run. But what's your one most important takeaway for those listening who maybe are still fearing
Starting point is 00:32:00 AI a little bit, but are really worried about adoption. I would say, don't worry about the FOMO. We are still actually really early in this journey. So don't let anyone assume that you are like sort of way behind. There's still plenty of time to catch up. Plenty of businesses and individuals are just like not even bothering or like, very apathetic about the whole thing. So if you are even engaging in this conversation, listening to a podcast like this,
Starting point is 00:32:29 you are moving the right direction and you have a potential massive first mover advantage. So such a good takeaway message there. Lauren, thank you so much for joining the Everyday AI show and helping us work through this little bit of fear of AI and take many steps closer and much larger steps toward AI adoption. We very much appreciate your time. Amazing. Thank you for having me.
Starting point is 00:32:55 All right. And hey, as a reminder, everyone, we went over a lot. And as always, we will be recapping it in our newsletter. So if you haven't already, make sure to go to your everyday AI.com. Sign up for that free daily newsletter. Lauren just dropped a lot of great tips for us all. So make sure to check those out and make sure to check us out tomorrow and every day for more everyday AI. Thanks, y'all.
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Starting point is 00:33:55 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.

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