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As AI is storming into content design and operations, Elizabeth Beasley is taking a patient and deliberate approach to adopting it in her practice.
Elizabeth works on security and identity products at Intuit, so the experiences she designs have to be reliable and trustworthy, hence her identification as a “risk nerd.”
She has also navigated big business changes before, like the shift from cable broadcasting to video streaming, and saw in those transitions the benefits of being a cautious and curious adopter of new technology.
We talked about:
- her role as a content designer working on security, identity, and fraud at Intuit
- how her background in media and technology have made her a slower adopter of new technology like AI
- how being a “risk nerd” informs her concern around reliability and trustworthiness in AI
- how her cautious approach to AI adoption may actually put her in a better position to develop trustworthy AI experiences
- the new collaborators she is working with as AI arrives on the scene
- her work on an industry standards body around new security technology
- the utility of having troops back at the fort to keep the old operations running as your org explores new tech like gen AI
- how her interest in history informs her approach to change
- the inherent risks in being first to adopt new technologies
- her “peaceful Wednesday” practice for preventing and coping with stress and burnout
- how times of rapid change like this can prompt useful career reflections
- the recent evolution of her thinking on the “seat at the table” issue
Elizabeth’s bio
Elizabeth Beasley a Senior Content Designer with Intuit’s Identity team. She approaches life with a healthy balance of optimism and skepticism. Because everything is going to be okay, maybe.
She used to have hobbies like performing improv comedy and ballroom dancing. Now she enjoys watching other people doing their hobbies on YouTube.
Connect with Elizabeth online
Video
Here’s the video version of our conversation:
Podcast intro transcript
This is the Content and AI podcast, episode number 21. It’s easy to get caught up in the frenetic pace of generative AI technology adoption – unless you have already created rituals to help slow your life down. Elizabeth Beasley created her “peaceful Wednesday” ritual ten years ago to bring some calm to her increasingly fast-paced work life. That practice is serving her well now as she and her colleagues at Intuit develop their approach to incorporating AI tools while continuing to deliver trustworthy experiences.
Interview transcript
Larry:
Hi, everyone. Welcome to episode number 21 of the Content and AI podcast. I am really happy today to welcome to the show Elizabeth Beasley. Elizabeth is a Senior Content Designer at Intuit, the big financial software company. Welcome, Elizabeth. Tell the folks a little bit more about what you’re up to these days.
Elizabeth:
Hey, it’s so fun to be here. Yes, I’m at Intuit. Financial services is my life lately, and I’ve worked in a fun space. I think it’s fun, security, identity. I always describe it to my mom or my friends like, I do the part where you create your account, you sign back into your account, you manage your account and I make that easy for you with content design, they still don’t quite understand that, but that’s the space I work in and I really, surprisingly enjoyed. I worked in banking previously and got into security and now I’m sort of obsessed with security and identity and fraud and it’s a fun, exciting space to work, and also I love it because everyone uses it, so it’s very relatable and it affects many, many people. So it has a lot of impact.
Larry:
You can’t do anything until you get past that experience that you’re designing.
Elizabeth:
Yeah.
Larry:
Then you’re in and then you can start doing stuff. But you sort of established your cred. You’re not like some kind of a Luddite about technology. You clearly, you’re deep in it every day doing that, and yet the reason we connected and the reason I wanted to have you on the show is that we connected, I think on LinkedIn, I can’t remember exactly how it started, but you’re sort of like a slower adopter of AI technologies. And I was like, perfect, I want to get her on the show because every one of the 20 episodes before this were all, and I’m as into it as them, just deep into the technophilia and all the new work things around AI and you’re more like, yeah, it’s great and you’re studying it, you’re staying on top of it, but you’re not just diving in with both feet, fangirl about it. Tell me a little bit about how that perspective arose.
Elizabeth:
Yeah, it is, sometimes I feel like I’m behind, but then I’m like, I’m just a late adopter. It’s okay. I’m a late bloomer. And I think it’s partly because I’ve seen technology changes before and I worked in television for the first 20 years of my career and watched changes even basically from tape to digital and that really changed people’s jobs. And the biggest one though, that makes me think of the way AI was going is streaming sources, streaming video. I worked in TBS and we made that transition from, we are cable network to panicking because everything was streaming and there was a whole TV everywhere initiative where the cable networks are trying to get you to watch their stuff on multiple devices, and that was kind of the beginning. And we were trying to figure out what does that mean? What does that mean for our jobs?
Elizabeth:
We have produced things everywhere. And it was intense and stressful and scary, and then fast-forward 20 years and I’m looking at it thinking like, “That didn’t turn out like I thought.” It evolved. Streaming is now actually a lot like cable television again, I was telling someone, I was like, this is funny because now you go to Hulu and you can add channels and build your own cable service. So I think the thing that I’ve been taking away is, it’s a long game and if you get stressed at the beginning, you can burn yourself out and create panic and you don’t really need that in your life. So I’m trying to relax into it and just sort of, you want to be aware and learn, but I’m also, you know what? I want to see how other people are using it? How is this going to turn out?
Elizabeth:
What’s the best thing for us? And particularly with AI, which is to me, radically different because there’s these moral and ethical parts of it that I don’t think we have had to, I haven’t had to wrestle with in technology before. Before, it was more like, is this helpful? But this is more like, oh no, is this going to be bad? So it’s a little bit more weight as well, if you adopt early and kind of get in there. So I like to play the kind of watch and see where this goes and where do I need to jump into the game.
Larry:
Yeah, and I love that you have the credibility of having been through this kind of thing before. And as you were talking about it, I was thinking about 20, 25 years ago, I remember just fighting constantly with marketing people who wanted to violate people’s privacy. And Seth Godin had come along and said, you know permission based marketing? That’s the way to do it. And that’s like convention today and all the laws and regulations do that, but we don’t have that now. AI is still like the Wild West. It’s still unfolding really quickly. Do you see, when you look at, looking especially with that lens of your TV history, I love that perspective on this, are you starting to see any things that you’re really paying attention to like, this might be the thing that we look back and go like, boy, that was the wrong thing to worry about?
Elizabeth:
That’s a really good question. I’m kind of, gen AI is just curious to me because I was talking to a teammate yesterday and she’s like, “I just don’t want to release it until it’s reliable,” and I was like, “Yeah, that’s the name of the game, right?” Getting reliable results and so, a lot of times I’m just wondering, I know we’re excited about it and we sometimes want to just, let’s use it. It’s akin to sort of like, I got this new chainsaw and I need to paint the house. I’ll use the chainsaw and it’s like, well no, that’s not the right tool. So really examining like, what’s the right tool for this job? It might be a different form of AI than gen AI, and that’s something I’m really conscious of because we get really excited about it and we… Let’s consider the other ways to solve this problem and find the right solution.
Elizabeth:
Now certainly, we have this new toy, let’s see if the chainsaw can work, but we might innovate and find a special way to do it, but I’m just sort of thinking, I’m really into the use cases lately. I was like, let’s look at the use cases and how do we solve this problem and then really examine if this is the right method. Sometimes you have to go down the rabbit hole of trying it and be like, that wasn’t the right method.
Larry:
Yeah, and as you described it, I think it’s like, I love that I’m going to totally steal the chainsaw for painting the house. I loved that because that kind of gets it, you feel like there’s some of that going on right now but I think more of the point is just that backing away from like, if all you have is a hammer everything looks like a nail, with AI technology, and thinking back to the fundamentals of well, and in your work, this is like, there’s an interesting confluence to what you were just saying about reliability and your friend’s concern about that and also working in financial services and security in that, you got a double load of the need for reliability and trustworthiness. Is that part of your concern about this? Are you concerned about the trustworthiness of the experiences you’re creating?
Elizabeth:
Yeah, absolutely. And you just reminded me, I am a bit of a risk nerd. I feel like in a previous job when I was at banking, I think I told someone like, I’m part of the risk management team because I work on security and stuff like that. So I do take that stuff seriously and I am always having that lens of, what if we accidentally give someone the wrong information and they… I don’t know, make a mistake, lose money, whatever, something bad happens. I don’t want to be responsible for that. I don’t want that to happen for them and I don’t want to create that possibility. So that’s a lens that I’m always looking at is just the risk, which can seem a little pessimistic. Always want to go into things like, well, how’s it going to turn wrong? But I think you should at least look at it, turn it on that side.
Larry:
No, I appreciate that energy because when you think about the confluence of Silicon Valley move fast and break things around this new technology that’s sort of the operating paradigm and things like, oh, copyright and privacy and ethics and inclusion just go out the window because you got to ship the next version of your thing. Having risk averse or not risk, you didn’t say risk averse, but risk considerate people like you around seems like, I guess, one of the things that has come up a lot in prior conversations around this is the new kinds of collaborators, there’s all this new kinds of things happening. Are you getting exposed even though you’re not, for good reasons, not jumping in with both feet into this, are you finding things around you where things are working differently, you’re finding different collaborators, different co-conspirators in your design work, just around AI technology?
Elizabeth:
I think we’ve all experienced, it’s one of those moments when you’ve got new technology where you’re leaning really hard in with your engineers and other teams and your legal teams, and it’s a little bit of, let’s all get in here and look at this, and the risk consideration is really a part of it, and yeah, it’s more people. It’s almost like even on our content design team, our larger team, I feel like we’ve banded together as a group because, remember I mentioned the use cases, well, I might have security use cases that I don’t know, something about that essentially someone could use or someone else might have a use case that’s going to benefit me in a way. So we really need to be sharing those to be able to speed up how we’re integrating AI into our work.
Elizabeth:
So even though if I’m standing back and being like, I’m not sure how to use this, maybe someone else has figured that out, and so I’ve been trying to go out on these missions of like, let me talk to my friends here and find out what they’re doing so that I can gather this knowledge and bring it back, and so it’s almost like I’m collecting it. The late adoption is more of like, I’m in a collection mode and I’m collecting information so that I’ll be ready when it’s time to go.
Larry:
That’s super interesting because it’s-
Elizabeth:
That’s how I go about it.
Larry:
Yeah, no, as you’re saying that, I’m realizing that, you both are just required to be prudent about this because of the nature of the products you’re designing, but also it’s a self-reinforcing thing that you will then be the person who know, who’s been outside, it hasn’t just got caught up in the rush of it, because it seems to me like, one of the things that comes up over and over again around every kind and even before generative AI, there was in the conversation design world where building Alexa skills and things like that, there was concern about, it wasn’t hallucination, but just the ethical things about however those NLP gadgets were to create stuff. These kinds of concerns were already there. So it seems like you’re in a position to be, maybe in a weird way, you’re out ahead of things in terms of understanding the trust mechanisms that need to be in place before you do this. Does that make sense?
Elizabeth:
Yeah. Maybe I’ll take it to be a forerunner and by sitting back and observing, I do think there’s like, we always talk about different elevations to look at stuff. So I’m so grateful for my teammates. I do have these teammates who ran forward and are trying everything and I love them and they’re the heroes of the story. So I go talk to them all the time, what are you doing? What are you finding out? What’s hard? What’s easy? Is there anything I can do to help you? Or I’ll bring them kind of provocations and so it is kind of expanding, when you talk about the collaborators expanding the people that you do want to talk to. I didn’t really need to talk to them before because they worked on different team way far away from me, and now we’re really having to share knowledge of between our content design team on a large scale of what’s happening so we can speed this up.
Elizabeth:
So that makes it really fun too because you’re learning as a group, and I think that’s another part about a new technology that is fun and scary as you’re learning, you get to learn it as a group, so you get to struggle as a group and you get to win as a group, and that part, I’m enjoying the support, and immediately yesterday I had a one-on-one with a teammate, usually they’re just supposed to be fun. I was like, what are you up to? And we spent 30 minutes digging into, how she’s trying to solve an AI problem and I was like, this is great. This might help me. Let’s figure it out. And so that’s the stuff I’m really enjoying about it, but I haven’t put anything into production yet. I’m just still sort of learning and being in the game.
Larry:
Well, that’s really interesting. That makes me wonder about the long-term implications of this because just the very nature of collaborating with other people and new people and different people than you have before, it seems like there’s… Are you starting to see any, just that conversation, it seems like that prompted something you hadn’t thought about before, would never have happened before in the normal course of your job, are you seeing, is that something you’ll be seeking out more?
Elizabeth:
Yeah, on a different technology note, I’m working on some things for security and there’s new technology around passkeys and I’m curious about that. So I’ve been participating in a larger industry group to understand they’re all working together on creating some standards and that’s been really fun because you realize you’re learning with people from massive, huge companies of what they’re doing and so, it’s definitely a specific group and we know how to manage our information within the group, but you learn a ton and so it’s very worth getting involved in this kind of things to get some perspective of what’s successful, what’s not. It’s just been really helpful, especially when you’re working with something really brand new and you don’t know how, you’re like, I don’t know how this is going to go.
Larry:
And by definition, the brand new thing is the last thing in the world is going to have standards because nobody’s figured out what the standard way of doing things is.
Elizabeth:
We’re all creating the standards, right? So that’s scary because you’re like, “Oh no, I’m creating the standards.” That’s what my teammate was telling me yesterday. She’s like, “I was writing some standards. I hope they’re right.” Because they have never been done before. So that’s again, that’s the part I think where I do have the scare like, I’m a little scared, but I’m also thoughtful about stepping back and observing. So I’ll be ready to go when it’s time.
Larry:
And that seems like that… Yeah, just being ready. And like you said, I think you said something, I can’t remember if we talked about it in the recording yet, but you said something about holding down the fort, that being that person who’s just there doing what’s always been done because you still have to do it, because that’s the business, that’s how it’s running, it’s like, people are able to securely log into the Intuit website. That seems like a good thing to be doing.
Elizabeth:
Yeah.
Larry:
Yeah, sorry.
Elizabeth:
Yeah, it was like that when I was talking about the streaming television example. Streaming television started, but you still had cable, so we still had to run this business and then create a new business and so, it feels a lot like that. We still have to run what we’ve been doing and then learn this new thing and implement it in and figure out which horse is going to lead the race one day. And I also think, I don’t like to think about battle analogies, but it is logistically, you don’t send all your troops out at once because what if something terrible happens and then you have no one else for the second wave. So it’s just smart to kind of stagger… Let’s send these really smart people out front. They’ll go learn some stuff. The people back at the fort will like, prepare meals and be ready for them to come back and hear the stories about what happened and tell me what’s going on so that when I go, I’ll be ready. So it really is a lot like that. It’s not an unusual way to think, I don’t think so.
Larry:
Well, just the way you’re describing the dynamics hearkens back to something we talked about before we went on the air about just your curiosity around all this. And it’s not just prudence and caution, it’s genuine curiosity about, and this goes back to your interest in use cases and cases that what’s going to be, where’s this going to work best? What’s the best way to do things?
Elizabeth:
Yeah, and also, just made me think. I’m also a history buff. So I think some of that stuff leads into my approach where, the battle thing, I grew up in the south, there’s always civil war battle stories and how tactic is how things work and I’ve watched Napoleon recently and I’m watching that, and so you learn these things and then there’s been new technology, if you learn about history, I lived in New England recently and out in the farmland, and you look at all the different tractors they have displayed on their property, technology has always been changing and it has always been terrifying.
Elizabeth:
And you had sent me this thing, I’d always heard of the early adopter, but you sent me the information about the originator of it and it was an agricultural study, and I was like, “Wow, this is really cool,” that the farmers who had the most wealth and the biggest farms had a little… They could take a risk, because they could afford it, to try something new and if it didn’t work, it was okay because they still had a really big farm and money, and then you go over to scale, and I’m in the middle where it’s like I have a nice farm. I’m really social. I’m friends with the big farmers, but I take that information back and share it with my medium-sized farm friends.
Elizabeth:
And then you have maybe the smaller ones who don’t have the wealth yet, they can’t invest in it, so they’re like the late adopters because they are just, maybe they can’t do it, maybe they don’t have the use case yet because their farm is really small, and they don’t need the bigger tractor. So it just was a really, that analogy, I love analogies, but I was like, wow! So I’ve been telling myself, I’m just a friendly farmer. I’m in the middle, hanging out at the general store talking about the new things.
Larry:
Yeah, I had forgotten the origins of that analogy when I shared it with you. And it is great, because you think about the farmer who’s like, “I can’t afford one of those fancy new tractors, but man, the guy down the street with the tractor is killing me at the market,” because can do things so much more efficiently and I think we’re seeing something analogous with AI right now. Are you hearing stories? I’m trying to think of examples that align with what I just said. Can you think of any?
Elizabeth:
I think there’s generally always a race in business. There’s that, what are the competitors doing? Because we don’t want them to beat us, to the punch. But I also see value, if you’re the early adopter, well, I’ve been looking at some things, if you go out first and then things change, you’re going to have to change your stuff. I’ve been wondering about that. So, if you’re the first person to do streaming video and then people in six months learn how to do it better, you’ve taken the risk of being first. So now you’ve got to go change everything to catch up to the updates, which is fine. That’s how that works. You have to plan that in. If you wait a little bit, when you launch, you’ll be farther down the road. You’ll have a little more advanced stuff for people.
Elizabeth:
So it’s a timeline too. I think everybody’s going to be shifting on the timeline. You’ll be launching big things. Someone over here will… All right. That didn’t work. Let’s go in with this thing. So I don’t know. I didn’t know if I described that well, but I just feel like it’s a 20-year thing. It’s a long game.
Larry:
Yeah, no, I think between what you just said and what you said earlier about the old thing still happening and the new thing is happening and how do they happen at the same time and when do we make the transition? I think that’s just a good, healthy, I think there’s a lot of mindset shift that needs to happen. That’s one of them, it’s like, and this is again why I was so excited to get you on the show is to talk about this more measured, considerate, use case backed adoption story instead of me just jumping into it head first. That seems like a more… I don’t know, it just seems like that approach, having that awareness around your consideration of the adoption seems like a really good take-home.
I’m thinking also of friend Noz Urbina had a guy on his podcast a while back and he was talking about, how we’ve all grown up thinking of computers as these fantastic, reliable, accurate things that never make mistakes and it’s like, and all of a sudden LLMs and generative pre-trained transformers come along and we’re like, “Whoa!, that’s different from the way computers have worked.” So there’s a lot of mindset shift happening.
Elizabeth:
Yeah, I think so. This is a difference perspective but, when you talk about time and timing and mindset, it’s funny that we’re recording this on a Wednesday because I started this practice probably, I don’t know, 10 years ago when I was super stressed about something at work that was really fast-paced and I was like, “I can’t do this all,” and I started having what I was calling “peaceful Wednesday” where I was like, on Wednesdays, nothing can bother me. I will have plenty of time for things, and I kind of intentionally were like, just didn’t worry about the time and the speed, because it was stress, by the end of the week I was burned out and so I needed to do something in the middle of the week to slow down so that I could make it to Friday. It was that intense.
Elizabeth:
And I feel like we’re at this high intensity thing now where I’m trying to practice this peaceful Wednesday, but maybe every day where I’m going to not burn myself out and stress about it because that’s also, we talk about our careers as content designers and there’s that fear of the technology, but also we could arm ourselves by burning ourselves out. So I’ve been looking for ways to reframe it for myself to say, you know what? Let’s take it slow. Let’s take some time where we can.
Elizabeth:
Some things are on fire and you have to deal with those, but where can I slow down and where can I have a little extra time and be thoughtful and deliberate about it and have a peaceful Wednesday or whatever, but still, consider AI, I take time just to read about it. I’ll set aside an hour that I’m just going to relax and read about it and not in different context, and that helps me get different perspectives. It sounds corny, but it’s just a way of me pacing myself through this, because I know it’s going to be a long ride and it’s going to be really fun and exciting, but you can’t sustain that forever.
Larry:
No. As you talk about this, we’ve all been overwhelmed just by things for the last 10 or 20 years, just technology advancement, little pandemics and things like that. And as you’re talking about that, just that, because one of my hopes is that the frenetic-ness of the pace and the way it’s sucking all the oxygen out of the room is that people will come back to, we all could be coming up with our peaceful Wednesday things. Well, it should be coming back to that. But it also seems like, many, if not most of us still identify as content strategists and it seems like a very strategic approach to pace yourself – and are you feeling that? Since you started peaceful Wednesdays, are Thursdays and Fridays better every week?
Elizabeth:
They are. They are when I practice it. It just gets me through. It gives you a nice time to your nervous system to recover. Yeah, and thinking about the career stuff. I was just talking about that with someone, I don’t know how, I think it’ll evolve, but think how much we have evolved. Content’s always been changing, so it really is just a normal part of shifting your job. Now is a great time to sort of decide how do I want that to evolve? I was thinking about, there have been times where you’re like, do I want to lean in more of a design direction or would I enjoy coding because it’s similar to writing in a way? And so maybe I want to put my skills more towards that, and now’s a great time to consider that and make those choices and learn some different things or which path do I want to go on?
Elizabeth:
So I’ve been thinking about that a lot. And again, the pacing is just… If you think about, you’re going to be doing something that you love, what’s the essence of what you love to do? What do I love about content? And I was thinking, I was like, I love putting stories together or I love figuring out problems with words, which is often, it’s in a way a little bit more like programming if I wanted to do that. So it’s just fun figuring out, what’s the essence of, what do I enjoy about this?
Larry:
Yeah, it does seem like there’s some opportunities for a reset, like if you’re, because a lot of people, I know a lot of content designers who are a little bit stressed about the way things are right now, and one of the things that comes up, like many of the prior guests in the 10 episodes leading up to this one, have talked about the arrival of new jobs and new roles and new activities for which content people are perfectly suited. I don’t know that they’re codified yet as, we haven’t even codified our old job roles, so I’m not holding my breath waiting for this one to get codified, but it seems like, and again, back to your peaceful Wednesdays, it’s like, just calm down, keep breathing, think about, sit and… You just said reflect on what really engages you and nourishes you about the work, and then look for opportunities and the new things that are arising.
Elizabeth:
Yeah, I just did this great… I can’t remember who hosted it. It was a survey about content, all the jobs that we do and all the things we do, and you were supposed to check the ones that you had done. I was like, holy cow, I think I’ve done 75% of this list. It made me feel great. I was like, I have a lot of skills because I was a marketing copywriter. I was an advertising copywriter, and then I moved into UX and I used to work in television and I wrote lower thirds where the person, so-and-so is at the scene of the crime. That was content. So I’ve done a lot of different types of content every time and when you get to reflect on that, you think, what parts did I love? And then you look at AI and wonder where does it need that thing?
Elizabeth:
I think prompt engineering is interesting. There’s going to be niches where you can really focus and find, but right now we can play and see what part energizes us. I’ve done long form, I’ve done short form, so I’ve done all the different things and there’s going to be something, a totally new way, that long form will be done. I think at the end of the day, we also think about our customers and the humans that are consuming… Consuming is a weird word, but enjoying our work and what are they going to need? You can also flip it to that and be like, what do I think they’re going to need in the future? Maybe they want more farming because they’re tired of their VR headset and they want to go out and be the friendly farmer for real. That’s where I’m wondering.
Larry:
That’s my hope. And I read a book years ago called The Story of the Human Body by Daniel Lieberman, this Harvard evolutionary biologist, and one of the things he talks about in there is evolutionary mismatches, that we evolved over this long period of time and we’re just hardwired for certain things. And I think that every advance in the digital age has created more of those mismatches and at some point we’ll just say, “Oh, the heck with it. Every day is peaceful Wednesday, forget it, I’m out of here.”
Elizabeth:
Yeah, and you just try to have every day be like that, but hey, one day a week is good. One day a week is good to take down the anxiety of everything that’s happening. That’s good.
Larry:
Yeah, no, and I think we talked a little bit before about pacing yourself, like that’s enforced pace, peaceful Wednesdays, just not going to stress.
Elizabeth:
Just not stress about it. And it’s fun when you think about it. We’re in this moment, it’s actually reflecting thing about being part of the whole streaming thing. Wow, that was cool. Now, we’re going to look back on this and be like, that was cool. I got to be a part of that revolution.
Larry:
Yeah, that’s something maybe we should all be thinking about. Again, that’s one of those things we step back, get perspective and think, which part of this do I want to be remembered for? And I don’t know how we picked that out at this stage of the game, but it’s fun to think about.
Elizabeth:
Yeah, and there’s going to be this, again, I love my heroes that are jumping in there first that are going to be like they’re the ones who figured out the first thing, but failed at these things and then you came in and failed at new things.
Larry:
Yeah. Well, I just love that there’s room for all of us, that we can all be anywhere along that adoption curve and still serving people, because like you said a minute ago, it’s all about the human beings who are using this stuff. That’s what it’s all about. If it just becomes machines talking to each other, I’ll join you on the farm. I’ll be there.
Elizabeth:
Right? That is the truth.
Larry:
Elizabeth, I can’t believe it. We’re coming up close to time already.
Elizabeth:
Oh!
Larry:
Is there anything last you wanted to say just that’s come up in the conversation that you want to revisit or just that you want to make sure we share before we wrap up?
Elizabeth:
So I have this one thing that I wanted to share, and you might find this funny. It’s a callback because we got connected because my friend Rebecca, Rebecca Nguyen is on the podcast, and she had said that I didn’t even remember having this conversation, but she was talking about, “I need to get to see the table,” and I was like, “Let that go. Forget about this table. I’ve been here at this table for 20 years. I’m done with the table.” So, I was watching, speaking of stream video, I’m obsessed with YouTube now. That’s how I learn a lot of things. So I was watching one of my astrologers or whatever that I follow on YouTube, and this great quote came up that said, it said, “Take your seat at your table.” And I was like, oh, interesting. I’m going to take my seat at my table and that’s how I’m going to get, I’m going to learn about AI.
Elizabeth:
Because I’m going to take my seat and learn it from my perspective that it’s going to help me be a benefit to the work I do. And I don’t know, it just was a really interesting different, we keep talking about zooming out perspectives to like, forget about the big table, what’s my table like? And how do I want to be here and what kind of seat do I want to have here? And then whatever that is will inform how I’m going to go help my company and my friends and family experience the future of technology or whatever way.
Larry:
That’s fantastic, because the way you just said, it’s not like the selfishly taking your table off in the corner, but it’s more like putting your own oxygen mask on first so you can help other people.
Elizabeth:
Exactly.
Larry:
Yeah.
Elizabeth:
So I’ve been thinking about, Rebecca got me thinking like, yeah, I’m going to take my seat at my own table and empower myself to learn this stuff and pace myself, not burn myself out and stress about it, but get good at it in the way that feels good to me.
Larry:
Nice. Yeah, and I think, again, that’s back to human beings, we’ve got to… As well as serving our customers, we have to serve ourselves with what nourishes and sustains us.
Elizabeth:
We’ve got a long ride, so let’s get in there, have fun and make it through.
Larry:
Yeah, no, that’s the thing too. Your 20-year TV career is a great reminder that like, Hey, this is… ChatGPT has been around about a year and a half. We got a long row ahead of us. Yeah, let’s figure it out.
Elizabeth:
Yeah.
Larry:
Hey, one very last thing, Elizabeth. What’s the best way if folks want to follow you or connect online? What’s the best way to reach you?
Elizabeth:
Yeah, LinkedIn would be the best way to connect with me, and that would be fun. I would love to chat. I’d love to nerd out and talk about this stuff in this kind of zen way, and it helps me feel good, and I love meeting other people because like I said, that’s really key to us learning and moving forward is to, help each other learn it. So, please connect.
Larry:
Okay. I will definitely put that in the show notes as well. And I have to say, I didn’t know this, when we planned this, but we’re recording this on a peaceful Wednesday, so that was-
Elizabeth:
I know.
Larry:
… That seems really, I love that. So thanks so much. Thank you so much, Elizabeth. Really fun conversation.
Elizabeth:
Thank you.
