Latest / The Same Side: A Digital Marketing Podcast Rooted in Human Connection / Episode 3: Making Sense of AI

Transcript

Episode 3: Making Sense of AI · The Same Side: A Digital Marketing Podcast Rooted in Human Connection

• 0:14
  SPEAKER_01: Hey there.
• 0:15
  SPEAKER_01: Welcome to the Same Side, a digital marketing podcast rooted in human connection.
• 0:20
  SPEAKER_01: I'm your host, Jonathan Dance, Director of AdOps and Analytics at Digital Relativity, a full service marketing agency.
• 0:28
  SPEAKER_01: Welcome to another episode.
• 0:30
  SPEAKER_01: I know I said I was going to talk about dashboards and data visualization in this episode, but there's been something on my mind as of late that is every bit as relevant to our adopts discussion as dashboards.
• 0:40
  SPEAKER_01: Maybe even more so.
• 0:42
  SPEAKER_01: So we'll go ahead and put a pin in dashboards, save it till the next episode, and let's talk about what's on my mind.
• 0:51
  SPEAKER_01: It's happening right now.
• 0:52
  SPEAKER_01: It's something that is sure to solve all of the world's problems.
• 0:56
  SPEAKER_01: It's something that will most assuredly destroy the world.
• 0:59
  SPEAKER_01: It just depends on where you get your information.
• 1:02
  SPEAKER_01: You probably know what I'm talking about.
• 1:05
  SPEAKER_01: Artificial intelligence, AI.
• 1:07
  SPEAKER_01: First, let's take a look at the landscape or the land mines, as it were.
• 1:13
  SPEAKER_01: Turn on the news and you hear about AI.
• 1:15
  SPEAKER_01: The headlines of your favorite online news site is chock full of AI news.
• 1:19
  SPEAKER_01: Every website, every piece of software seems to be pushing you to use their latest AI features.
• 1:24
  SPEAKER_01: And maybe I've been spending too much time on LinkedIn, or maybe it's because it's impossible to escape AI features being crammed into every website and every piece of software.
• 1:34
  SPEAKER_01: Sometimes it just feels like it's too much.
• 1:37
  SPEAKER_01: And also it feels like no one else is talking about anything but AI, as if there's nothing else to consider at this moment in time, which is patently false.
• 1:48
  SPEAKER_01: It's super easy to get caught up in AI FOMO.
• 1:52
  SPEAKER_01: Shiny new features and functionalities are rolling out every day, sometimes even more than once a day.
• 1:59
  SPEAKER_01: I'm looking at you, Claude, and your multiple daily updates.
• 2:03
  SPEAKER_01: Are you using the latest model?
• 2:05
  SPEAKER_01: Are you keeping up?
• 2:05
  SPEAKER_01: Is AI making your coffee in the morning?
• 2:08
  SPEAKER_01: If you answered no to any of these questions, you're probably wondering what you're doing wrong.
• 2:13
  SPEAKER_01: Except you get a pass on coffee.
• 2:15
  SPEAKER_01: That should be lovingly handcrafted in your cup every morning.
• 2:20
  SPEAKER_01: The thing is, no one is an expert on all of AI.
• 2:24
  SPEAKER_01: Even the people who created ChatGPT don't know exactly how it works from day to day.
• 2:30
  SPEAKER_01: In 2025, anthropic CEO, Dario Amade, admitted that he has no idea, or anyone has no idea how AI works.
• 2:40
  SPEAKER_01: And the direct quote is this lack of understanding is essentially unprecedented in the history of technology.
• 2:48
  SPEAKER_01: And so if that's the case, why do we just get this constant stream of AI positivity or doom and gloom?
• 2:58
  SPEAKER_01: And it's because lab executives, venture capitalists, and pundits all have reasons to sound confident despite not knowing.
• 3:06
  SPEAKER_01: The optimistic forecasts raise money and hype, and the pessimistic ones get attention too.
• 3:12
  SPEAKER_01: All these folks are telling a story that serves their purpose.
• 3:15
  SPEAKER_01: But for those of us on the receiving end, we just want someone who seems to know what's happening.
• 3:20
  SPEAKER_01: And that's understandable because we want to feel like we have control over the future, but all this fake confidence, for lack of a better term, isn't the same as accuracy.
• 3:29
  SPEAKER_01: And ultimately all that is noise, right?
• 3:32
  SPEAKER_01: So in some ways, it's a relief.
• 3:34
  SPEAKER_01: You can you can let yourself off the hook, you can stop trying to drink from the fire hose, let your face reshape itself.
• 3:42
  SPEAKER_01: You don't have to know how AI works or what the future holds or whether our robot overlords will be benevolent or not.
• 3:49
  SPEAKER_01: But because it's here to stay, because AI is here to stay in some form, you want a game plan, a roadmap, or some other euphemism for intentional planning.
• 4:00
  SPEAKER_01: So where do you begin?
• 4:02
  SPEAKER_01: At this very moment, I'm reminded of when I first started working in digital marketing, and people would walk into our office off the street, and they would ask, Do you do computers?
• 4:12
  SPEAKER_01: And we'd laugh inside.
• 4:15
  SPEAKER_01: Um, because we knew what they meant, and to some degree why they were asking.
• 4:20
  SPEAKER_01: They'd heard about the internet, they had a business and figured they needed a website.
• 4:24
  SPEAKER_01: They didn't want to miss out because everyone was doing it.
• 4:27
  SPEAKER_01: But it was clear from the way they asked that they weren't sure why they needed it, just that they did.
• 4:32
  SPEAKER_01: It reminds me of when I was a kid and somebody would get the latest video game, the coolest new pair of sneakers, whatever it was, and then everyone wanted to be on that bandwagon.
• 4:44
  SPEAKER_01: And they never really questioned why, and I think that still happens as adults.
• 4:48
  SPEAKER_01: So that's kind of where we are on AI, especially as we talk with our partners about it, as we continue to evolve our own AI policies and internal use policies here at digital relativity.
• 5:00
  SPEAKER_01: So, how do you know what to use and what to ignore?
• 5:04
  SPEAKER_01: First, you're going to take a deep breath.
• 5:06
  SPEAKER_01: Ah, let it out.
• 5:08
  SPEAKER_01: And the easy answer is you're you're going to take a step back and remember what it is you're trying to do.
• 5:14
  SPEAKER_01: That means like what you're trying to do in your job, what your company's purpose is.
• 5:19
  SPEAKER_01: So often we get it backwards, we see these new shiny things.
• 5:22
  SPEAKER_01: We're like, oh man, that's so cool what people are doing with AI.
• 5:25
  SPEAKER_01: Let's let's figure out how to do that too.
• 5:28
  SPEAKER_01: And instead, we should be asking, what problems are we trying to solve?
• 5:32
  SPEAKER_01: And is there an AI tool that helps us solve it?
• 5:34
  SPEAKER_01: It's a tool.
• 5:36
  SPEAKER_01: That's it.
• 5:37
  SPEAKER_01: And like most tools, you generally start using them in the most rudimentary ways at first, getting a feel for what they can do.
• 5:44
  SPEAKER_01: So going back to the tool concept, uh, I do as much of my own automotive repair and maintenance as I can.
• 5:50
  SPEAKER_01: And one thing I've learned over the years is having the right tool for the job is half or 75% even of the battle.
• 5:58
  SPEAKER_01: Having the right tool can make the work go so much more smoothly and more quickly.
• 6:03
  SPEAKER_01: Having the wrong tool can result in a lot of kind of clutching together solutions, broken or stripped bolts and busted knuckles, lots and lots of busted knuckles and a lot of maybe profanity.
• 6:17
  SPEAKER_01: It can also result in a lot of wasted time where you spend more time trying to calibrate the tool than you do actually using it.
• 6:25
  SPEAKER_01: Instead of trying to use a tool just because it's new and everyone's talking about it, look for specific problems you can solve with it, with AI.
• 6:33
  SPEAKER_01: In our case, some of the things that we look at, you know, are automation, analysis, summarizing, all of those things.
• 6:41
  SPEAKER_01: And for you, it's going to take a little research, but you can be sure that other people in your situation in the marketing world are facing similar needs.
• 6:52
  SPEAKER_01: Whether you're an account executive or a technician, or whether you're hiring an agency who you hope has this expertise, there are people in all those realms that are trying to solve similar problems.
• 7:04
  SPEAKER_01: Now it'll probably come as no surprise when I'm starting out with anything, I and I have I have my problem identified.
• 7:12
  SPEAKER_01: I go to Reddit probably first.
• 7:15
  SPEAKER_01: I go to YouTube.
• 7:16
  SPEAKER_01: That's where a lot of the answers are.
• 7:18
  SPEAKER_01: And granted, there is some searching through the chaff to get to the wheat, but there are answers out there.
• 7:26
  SPEAKER_01: There are also some great resources on LinkedIn, such as Andy Crestedina of Orbit Media and Will Reynolds of Sear Interactive.
• 7:33
  SPEAKER_01: These are real people providing real solutions.
• 7:35
  SPEAKER_01: Now, these guys are kind of rock stars and overachievers, and they pump out a lot of content.
• 7:42
  SPEAKER_01: But if you include their names in searches, uh, especially if you're on the agency side or you're on the analytics or SEO side of things, these are great resources.
• 7:54
  SPEAKER_01: And they have websites too that you can go to and search their blogs, all that kind of stuff.
• 7:58
  SPEAKER_01: Another resource in all this are the AI chatbots themselves.
• 8:03
  SPEAKER_01: You can start there and ask them questions.
• 8:06
  SPEAKER_01: And I'll probably say this multiple times during this podcast, but if you can ask a question, you can use AI.
• 8:12
  SPEAKER_01: And so don't forget that as a resource.
• 8:14
  SPEAKER_01: And I say that from experience.
• 8:17
  SPEAKER_01: AI isn't going anywhere.
• 8:19
  SPEAKER_01: I mean, it'll probably look different in a year, both in what it can do and how you use it, but it's not going anywhere, and it'll be around probably for the rest of our lives.
• 8:29
  SPEAKER_01: Uh, so it makes sense to start figuring out how to make it work for you.
• 8:34
  SPEAKER_01: To that end, I want to dip into some use cases, just some of my experience with using AI since late 2022.
• 8:42
  SPEAKER_01: The way I use it has been evolving and it continues to change.
• 8:46
  SPEAKER_01: I tried to get it to do things it just couldn't do, and so I moved on, and I was able to get it to do things I didn't think it could do.
• 8:53
  SPEAKER_01: Probably one of the projects I'm most proud of in terms of our use of AI is automating initial reporting outputs for campaigns, quarterly reports, annual reports for all of our different partners that are tailored to each of those partners and their relevant KPIs.
• 9:09
  SPEAKER_01: And this is more than just like a numbers puke.
• 9:12
  SPEAKER_01: It's actually providing insights in terms of what we might want to consider moving forward.
• 9:18
  SPEAKER_01: Uh, what are the things that we've learned, and maybe where there are some opportunities as well.
• 9:23
  SPEAKER_01: Using make.com and using their AI automation platform.
• 9:28
  SPEAKER_01: Basically, we plug in all these things.
• 9:30
  SPEAKER_01: We plug in Google Analytics 4 and then exports from that into Google Docs, and then all that gets funneled into ChatGPT.
• 9:38
  SPEAKER_01: And it does it multiple times for the different questions that we're asking.
• 9:42
  SPEAKER_01: And within Make is where you do your prompting.
• 9:45
  SPEAKER_01: And so I was I was more of the idea bringer on this.
• 9:49
  SPEAKER_01: I work with some super smart technical people who are adventurous and willing to try new things.
• 9:54
  SPEAKER_01: Shout out to Carter, who did the lion's share of the technical work on this.
• 9:58
  SPEAKER_01: But we collaborated and iterated until we got to a point where the output was what we needed it to be.
• 10:04
  SPEAKER_01: That's the one thing that you'll find with AI is that there's always more work involved than you think there should be because AI is going to do everything for us.
• 10:13
  SPEAKER_01: But don't let that stop you.
• 10:16
  SPEAKER_01: So, three years in, I find that I'm using AI less often, but I'm using it with more precision as I figured out where it can help me do my daily stuff.
• 10:27
  SPEAKER_01: So, Claude is my go-to for most tasks.
• 10:30
  SPEAKER_01: That's our platform of choice here at Digital Relativity.
• 10:33
  SPEAKER_01: I primarily use the chat function and work through thought processes or let it roll through online resources for deeper learning on various topics, or to just surface resources.
• 10:43
  SPEAKER_01: Think about how much time you spend online looking for information and trying to get your search queries correct.
• 10:51
  SPEAKER_01: With an AI agent, you can do it a lot more quickly.
• 10:54
  SPEAKER_01: And you've probably already experienced that.
• 10:56
  SPEAKER_01: But if not, I highly recommend it for research.
• 11:00
  SPEAKER_01: And so, whatever its outputs, from there, I'll check its citations and I'll visit the primary sources to see if they're as useful as Claude indicates they are.
• 11:08
  SPEAKER_01: And then the biggest win here is just time savings.
• 11:11
  SPEAKER_01: Instead of taking an hour or more of searching and compiling, I can knock that work out more quickly.
• 11:16
  SPEAKER_01: So again, it's nothing earth-shattering, but sometimes it's helpful to hear someone say it to give you the aha or the green light to go, oh yeah, I can do that.
• 11:27
  SPEAKER_01: I'll also use Claude for logic checks.
• 11:30
  SPEAKER_01: So when I write something, I'll dump it into Claude and be like, does this make sense?
• 11:35
  SPEAKER_01: Is there is the logic good?
• 11:37
  SPEAKER_01: Is it consistent?
• 11:38
  SPEAKER_01: So like writing this podcast script or writing blog posts or campaign reports.
• 11:43
  SPEAKER_01: It's just super helpful to have another perspective on what you're putting out there.
• 11:48
  SPEAKER_01: I'm very guilty of writing stuff out and you have it all in your head and you think you've written it down, and then when you read it back, you're like, wow, I totally missed this, this, and this.
• 11:58
  SPEAKER_01: So I find Claude super useful for that.
• 12:02
  SPEAKER_01: Perhaps my favorite way to use Claude is to identify knowledge gaps in whatever it is I'm doing.
• 12:08
  SPEAKER_01: Is there something I'm not thinking of that I should be that could lend more to the conversation or to help me think beyond my normal work-a-day stuff?
• 12:19
  SPEAKER_01: I hate to use the term, but you know, it can help you think outside the box.
• 12:24
  SPEAKER_01: Along with the chat function, I use Claude Cowork, and I find that it's sort of been hit or miss depending on what I'm asking it to do.
• 12:31
  SPEAKER_01: There's more hand holding than I'd like.
• 12:33
  SPEAKER_01: So for example, I've got cowork hooked up to my email, to Google Drive, to Slack, and it helps me resurface conversations to understand more context.
• 12:43
  SPEAKER_01: But sometimes Claude will either not look in the folder, like, hey, can you can you check in my drive and see if you can find anything?
• 12:49
  SPEAKER_01: And it's like, nope, couldn't find it.
• 12:51
  SPEAKER_01: And like, well, what about in this folder?
• 12:52
  SPEAKER_01: And like, oh, you're right.
• 12:53
  SPEAKER_01: It's totally there.
• 12:55
  SPEAKER_01: And even recently, this week, I was looking for a specific conversation and it cited a doc, and I opened up the document, and it was for the wrong project.
• 13:07
  SPEAKER_01: And I was like, hey man, Claude, this document is about a totally different partner.
• 13:13
  SPEAKER_01: So you gotta take all of the outputs with somewhat of a skeptical eye or at least a critical eye to make sure that what you're getting is real.
• 13:22
  SPEAKER_01: So again, there's more hand holding than I'd like, and that's okay.
• 13:26
  SPEAKER_01: I'm still figuring out co-work in terms of what is most useful for me.
• 13:32
  SPEAKER_01: So there's no question that AI can be useful.
• 13:34
  SPEAKER_01: You just have to go in with a plan.
• 13:36
  SPEAKER_01: And more importantly, you have to pick a plan.
• 13:38
  SPEAKER_01: Focus on one thing at a time.
• 13:40
  SPEAKER_01: Do your research and see if you can get it to work.
• 13:43
  SPEAKER_01: And know that there's going to be what I would call a development phase of how you use this stuff.
• 13:49
  SPEAKER_01: There are very few turnkey solutions.
• 13:52
  SPEAKER_01: Even a great platform like Make takes a lot of front-end work to get it to work the way you want it to.
• 13:58
  SPEAKER_01: And so just be prepared for that.
• 14:00
  SPEAKER_01: And I think that'll make it easier to accept the work that comes initially.
• 14:08
  SPEAKER_01: Okay, so we're talking about how to use AI, how it can work, how to approach it.
• 14:16
  SPEAKER_01: And one thing we haven't touched on is the human aspect of all this.
• 14:20
  SPEAKER_01: And I'm sure it's the layer under the layer, right?
• 14:24
  SPEAKER_01: It's it's the existential dread that sits underneath your mind in your subconscious as you're trying to work out how to get Claude to read a spreadsheet.
• 14:34
  SPEAKER_01: And so this is where the AI discussion can get tricky.
• 14:38
  SPEAKER_01: And I'll state up front that while I do have opinions, plenty of them, I'm not an industry expert.
• 14:44
  SPEAKER_01: What I do know is that a lot has been promised, especially the idea that we can automate everything, that we can seamlessly weave AI into our workflows and free up time for real work.
• 14:55
  SPEAKER_01: And that hasn't exactly happened.
• 14:58
  SPEAKER_01: There are plenty of memes out there about AI hallucinating or just plain giving bad information.
• 15:04
  SPEAKER_01: And as I mentioned in the intro, AI is being shoved into every app and website, although consumers never asked for it.
• 15:09
  SPEAKER_01: These implementations wind up hindering the effectiveness of the platform you're in.
• 15:14
  SPEAKER_01: Like, say, your healthcare portal.
• 15:16
  SPEAKER_01: I just want to look at my invoices and to understand why you rejected a perfectly reasonable claim.
• 15:23
  SPEAKER_01: But perhaps the biggest sea change that's predicted, it kind of goes hand in hand with the automation part, but is it's around jobs, right?
• 15:32
  SPEAKER_01: Yesterday there was an article in CBS News, and it's actually an article that Bill Gates posted on his personal website.
• 15:39
  SPEAKER_01: And I'm just going to read a few quotes from it just to kind of set the stage here.
• 15:44
  SPEAKER_01: And so bear with me.
• 15:45
  SPEAKER_01: This is, we're going to go down a little bit of a rabbit hole, but I think it's it's important.
• 15:50
  SPEAKER_01: AI will take on work.
• 15:52
  SPEAKER_01: This is Bill Gates.
• 15:54
  SPEAKER_01: AI will take on work in law, customer service, medicine, software, and manufacturing.
• 15:59
  SPEAKER_01: It will hit these industries rapidly over the course of a decade rather than a few generations.
• 16:05
  SPEAKER_01: There will be some new jobs, but without the right policies, there will be far fewer than exist today.
• 16:13
  SPEAKER_01: Another quote: The biggest shift for workers will happen when AI provides nearly error-free work, which which I chuckle at.
• 16:21
  SPEAKER_01: At that point, it will be able to function on its own without a human checking in on it, and companies will have every economic incentive to let it.
• 16:30
  SPEAKER_01: And so he goes on to lobby for a plan to deal with this prediction.
• 16:33
  SPEAKER_01: I believe we need time to prepare for the period of social, political, and economic upheaval we are about to enter.
• 16:40
  SPEAKER_01: The people who need the most time are the ones who have the least, the accounting worker who's replaced by a bot, or the$20 an hour worker who loses their job to a$10 an hour robot.
• 16:51
  SPEAKER_01: And he's not wrong, but remember, he's Bill Freaking Gates.
• 16:55
  SPEAKER_01: When he talks, people listen because he ushered in the digital era with his PCs.
• 17:02
  SPEAKER_01: Some would say he was an innovator, some would say he's a thief.
• 17:05
  SPEAKER_01: Doesn't matter.
• 17:06
  SPEAKER_01: He's a billionaire many times over, and in this day and age, that gives billionaires the mic.
• 17:12
  SPEAKER_01: And so when he speaks, people listen and it gets reported, and then it gets repeated over and over again throughout the news cycles and just adds to that existential dread of all this.
• 17:22
  SPEAKER_01: But here's the thing: he is not you.
• 17:25
  SPEAKER_01: He's not doing your job.
• 17:27
  SPEAKER_01: And while his insights or views are relevant and maybe valid, they're more headline fodder than anything else.
• 17:34
  SPEAKER_01: At any rate, you and I, we still have our jobs that we have to do day in and day out.
• 17:40
  SPEAKER_01: And just as we need to understand the problems we are solving before we select the tools to fix them, we need to understand our own day-to-day circumstances to figure out how AI can serve us.
• 17:51
  SPEAKER_01: I would also argue that we need to talk with each other, not about how we're on the bleeding edge and posturing and trying to get a leg up by pushing other people down or any of that kind of stuff.
• 18:02
  SPEAKER_01: But what are we actually doing that works?
• 18:04
  SPEAKER_01: And this is going back to Andy Crestedina and Will Reynolds.
• 18:08
  SPEAKER_01: These guys, I feel, are really good at this.
• 18:11
  SPEAKER_01: Their goal is to help people.
• 18:14
  SPEAKER_01: And that's our goal here.
• 18:16
  SPEAKER_01: Much of the fear around AI is fear that's been here all along, and AI has just given it a new face.
• 18:23
  SPEAKER_01: I went to Google Trends to explore keyword interests since 2004 to today.
• 18:29
  SPEAKER_01: 2004 is as far back as Google Trends goes.
• 18:32
  SPEAKER_01: And I wanted to see if I could separate signal from noise.
• 18:35
  SPEAKER_01: If you're not familiar with Google Trends, it's a super useful tool for, among other things, understanding relative interest of keywords and topics over time.
• 18:45
  SPEAKER_01: I often use this for keyword research for search campaigns, especially when I'm getting into new sectors, to help understand current and past search trends in the broadest terms.
• 18:57
  SPEAKER_01: So Google Trends shows relative search interest, not raw search volume, and it indexes results on a zero to 100 scale, where 100 is the peak popularity for the term, and then of course over time.
• 19:10
  SPEAKER_01: That makes it good for spotting trends and comparing terms against each other, but it's not a hard count that you can cite as a specific number.
• 19:16
  SPEAKER_01: So keep that in mind.
• 19:18
  SPEAKER_01: It's a relative scale.
• 19:19
  SPEAKER_01: The keywords I explored for this were unemployment, AI, and jobs.
• 19:25
  SPEAKER_01: Now, the output is a graph.
• 19:28
  SPEAKER_01: And as Justin, our technical director here at DR, would say, I'm going to paint you a word picture.
• 19:34
  SPEAKER_01: I'm going to describe this graph.
• 19:36
  SPEAKER_01: And what it shows is that while unemployment saw movement after the 2008 financial crisis and a huge spike with the onset of the COVID pandemic, over that 22-year period, it's generally relatively low, registering at a nine on the overall interest scale out of 100, remember.
• 19:57
  SPEAKER_01: And so there was a spike after two in 2008-2009.
• 20:01
  SPEAKER_01: And then of course when COVID hit and everybody shut down, there was a ginormous, just huge spike.
• 20:08
  SPEAKER_01: So there's that.
• 20:09
  SPEAKER_01: And then AI, as you might expect, has was pretty low-key until about 2022.
• 20:14
  SPEAKER_01: And then if if you're looking at the graph, it starts to just trend upward, the hockey stick, if you will, up and to the right.
• 20:21
  SPEAKER_01: And it actually surpassed jobs, which we'll talk about here in a second, uh, in the last year just because of everything that's going on, all the hype around it, all the market reports based on it.
• 20:33
  SPEAKER_01: And so overall, however, over that 22-year period, it only registers as an eight.
• 20:40
  SPEAKER_01: And if if we were just looking at the last three years, it would be a bigger number.
• 20:44
  SPEAKER_01: So anyway, you have this giant spike that's up, and it's actually dwindled off a little bit looking at the graph as we head into 2027.
• 20:54
  SPEAKER_01: And so the spikes are interesting, but we can for AI and for unemployment, but we can check those against world events.
• 21:02
  SPEAKER_01: So we can see the 2008 financial crisis, we can see COVID, we can see the rise of AI and the news cycles that goes right along with the development of these platforms.
• 21:13
  SPEAKER_01: Jobs has been pretty steady over the last 22 years.
• 21:17
  SPEAKER_01: You see a slight increase around the 2008 financial crisis, but over that time, the interest in jobs is 58 on the scale.
• 21:28
  SPEAKER_01: So jobs is a constant concern, worry, newsworthy item, whereas these other things are less so.
• 21:38
  SPEAKER_01: And what that tells me is that the concern about our jobs has always been there.
• 21:43
  SPEAKER_01: So again, let me just give you those numbers.
• 21:46
  SPEAKER_01: Unemployment was at a nine over 22 years, AI at an eight, and jobs at a 58.
• 21:54
  SPEAKER_01: So jobs are always on our mind.
• 21:55
  SPEAKER_01: And you can go back through history, look at headlines, and it's always been that way, especially since industrialization.
• 22:03
  SPEAKER_01: Like I said earlier, the worry about jobs has always been there, just has a new face in AI.
• 22:09
  SPEAKER_01: So, what can you do other than worry, which doesn't help at all?
• 22:13
  SPEAKER_01: You make it personal.
• 22:16
  SPEAKER_01: And not in the action adventure sense, like uh this time it's personal, but in the problem-solving sense.
• 22:24
  SPEAKER_01: And all you need to be able to do to get started is ask questions.
• 22:27
  SPEAKER_01: Remember what I said.
• 22:28
  SPEAKER_01: If you can ask questions, you can use AI.
• 22:31
  SPEAKER_01: And they don't even have to be the right questions at first, as long as you know where you're trying to get.
• 22:37
  SPEAKER_01: Like you shouldn't know the answer before you ask the question.
• 22:40
  SPEAKER_01: You should be open to those answers.
• 22:42
  SPEAKER_01: And so you can use AI to help fill in the gaps by asking questions like, what am I missing?
• 22:48
  SPEAKER_01: What else should I be thinking about?
• 22:50
  SPEAKER_01: What are some existing use cases that are similar to what I'm experiencing?
• 22:55
  SPEAKER_01: Where can I find more information about this?
• 22:58
  SPEAKER_01: And going back to what I talked about earlier, you identify places you think you can gain efficiency with AI.
• 23:05
  SPEAKER_01: You do your homework or research, probably using AI, and you see what other people are doing.
• 23:11
  SPEAKER_01: You try stuff and keep what works.
• 23:14
  SPEAKER_01: And when I'm doing this, if something feels too complicated and I can't immediately wrap my head around it, I move on and look for lower hanging fruit.
• 23:23
  SPEAKER_01: And that's not because I don't want to challenge myself, but usually time is of the essence.
• 23:27
  SPEAKER_01: And getting that foundational stuff is more important to me because I can build off of that.
• 23:33
  SPEAKER_01: And so if something seems like it has possibilities, but the technical aspects are beyond me, I'll talk with my team and see what's possible.
• 23:40
  SPEAKER_01: Ultimately, this is about working within yourself, at least to start, building, like I said, a solid, reliable foundation until you become more comfortable with the AI landscape, more aware of the possibilities that could work for you.
• 23:54
  SPEAKER_01: So to wrap this up, we're gonna talk about AI probably more, the Royal Wii, uh the future interview we, all those Wii's.
• 24:03
  SPEAKER_01: Uh, we're gonna talk about AI because it's prevalent.
• 24:06
  SPEAKER_01: But again, because it's just a tool, it's not what this podcast is about.
• 24:11
  SPEAKER_01: I just felt like it needed to be addressed given the landscape.
• 24:15
  SPEAKER_01: And hopefully it's been a helpful conversation for you.
• 24:19
  SPEAKER_01: So that's it for today.
• 24:21
  SPEAKER_01: I hope this was helpful, useful, or at least got the wheels turning.
• 24:25
  SPEAKER_01: And we'll see you next time on the same side.
• 24:29
  SPEAKER_01: Thanks for listening.