00:00:00:00 - 00:00:27:06
Speaker 1
Hello building brand gravity listeners. In today's special episode, we're actually going to revisit our December discussion on the year in AI for 2023, the year that truly showcased the rapid evolution and impact of artificial intelligence in various spheres. If you recall, last December, we marveled at the accelerating pace of AI advancements, a trend that continues to shape our digital and real world interactions profoundly.
00:00:27:07 - 00:00:53:10
Speaker 1
In fact, cloud key takeaway was that creativity need not be stifled by AI. Rather, it can be augmented as we move further into 2024. This blend of human ingenuity and artificial intelligence has only grown more seamless, opening new avenues for creative problem solving across industries. We also discussed the role of generative AI as a tool for enhancing human interactions, particularly in challenging scenarios such as compensation negotiation.
00:00:53:12 - 00:01:16:12
Speaker 1
This application remains incredibly relevant as more professionals adapt to AI to simulate and prepare for important conversations, and in the realm of communications and public relations, our wheelhouse, of course, AI's capacity for data analysis and insight generation was a hot topic in this area, seeing substantial growth, demonstrating AI's potential to link communication efforts directly to strategic business outcomes.
00:01:16:14 - 00:01:43:18
Speaker 1
A trend that continues to gain momentum. A few other exciting developments from the AI frontier that came online since our last conversation. One that I'm really excited about. Multimodal AI, has taken a significant leap forward, becoming now more viable and integrated with consumer products. Look no further than the meta and Ray-Ban sunglasses that have just, seen their first upgrade integrating multimodal AI into their software.
00:01:43:20 - 00:02:09:10
Speaker 1
Our creative professionals have access now to saw AI, which is a video AI platform. So now it's emerged as a groundbreaking tool for videographers and motion designers, which enhance how they, at least they claim in part stories light. And lastly, this is a newer one. But the eraser platform is now revolutionizing the way software developers and UX of our peers are mapping our customer journeys, making it simpler, more intuitive.
00:02:09:12 - 00:02:29:17
Speaker 1
We'll see if that actually comes to bear time. And so as we look ahead, the landscape that they AI remains dynamic, ever evolving. And although this conversation that you're about to listen to happened in December, I really think that everything said here still feels relevant and prescient now. I hope you enjoy with.
00:02:29:19 - 00:02:58:15
Speaker 2
You are listening to building brand Gravity, attracting people into your orbit. A business communications podcast. This is a show for communications pros across industries looking to gain an inside view into industry influence. You're about to hear a conversation with leading industry professionals talking about the importance of building business impact through sound brand strategy. Let's get into the show.
00:02:58:17 - 00:03:19:05
Speaker 3
Hey, everybody. Welcome to Building Brand Gravity. My name is Anne Green. I'm a principal and managing director here at CNS Business Communications and soon to be CEO here at the agency. And I am very excited to be curating a conversation with the wonderful Kyle Turner, who is our digital growth director. Kyle, welcome.
00:03:19:11 - 00:03:21:10
Speaker 1
Hello. Hello. Glad to be here.
00:03:21:12 - 00:03:28:11
Speaker 3
Hello. Hello. So, Kyle, we're here to talk about the year in generative AI. It has been a year.
00:03:28:14 - 00:03:29:05
Speaker 1
It has.
00:03:29:06 - 00:04:02:07
Speaker 3
And I would say it feels like a hundred years since the moniker chat GPT first exploded into our consciousness. Just last November 2020. Now, kudos to those who already knew all about it long before. I know you're out there. But for most of society, it was last November, and it's kind of amazing to live through a moment, when a new tech utterly captures all aspects of our imagination and really simultaneously shifts conversations everywhere in business, world, tech, world, academia.
00:04:02:07 - 00:04:23:12
Speaker 3
And also, like your mom is asking you about it. So, you know, Kyle, I'm sure you're having lots of conversations with family members too. And as we close out 2023 and the reason we wanted to talk today is the big question for me is, as longtime integrated marketing communications practitioner and a counselor and an organizational leader, where are we now and then?
00:04:23:12 - 00:04:47:15
Speaker 3
Where is this going and how fast? So I would venture to guess that there's about 16 million podcasts of this kind looking at Chennai at the end of the year, and Kyle and I do not have the energy nor the time to recap every advance that's happened in generative AI in 2023. But I think our goal today is to like take one another's temperature on where AI is now.
00:04:47:17 - 00:05:07:11
Speaker 3
The big advances run down how our industry, integrated marketing, communications and all of its forms has started to learn and adapt and incorporate it and and talk a little bit about what we see, what's coming for the year ahead, including, I think, Kyle, you said what is best and what is not best. So does that sound good to you, Kyle?
00:05:07:13 - 00:05:09:18
Speaker 1
I'm excited to get into that for sure.
00:05:09:19 - 00:05:24:06
Speaker 3
Yeah, exactly. So just to start it off, Kyle, first question for you. What's one of the big technological advances in Chennai from 2023 that really made you stop in your tracks or get interested?
00:05:24:08 - 00:05:45:17
Speaker 1
Yeah, I, I've been seen a lot, in this space as as I'm sure you have. To me, what stopped me in my tracks, I saw earlier this year cycle of one of my one of our colleagues here, a an AI model was used to spot pancreatic cancer and high risk individuals up to three years before diagnosis.
00:05:45:19 - 00:06:08:03
Speaker 1
Now, this follows, a similar story I saw maybe about four years ago of an AI model using, being used to, to spot, brain cancer using blood samples. So what does that say to me? It's we're we're at the precipice of, I think, some really interesting and life changing and in some ways, probably life affirming ways.
00:06:08:05 - 00:06:34:07
Speaker 1
That I think I can start to change the way that we do medicine. This kind of predictive stuff, which we'll probably get into later a few times, is where I find the most excitement. I think as a cancer survivor, especially, you could make the argument that despite the research and the dollars that have been poured into the cancer spaces, we're only now maybe less like 4 or 5 years, starting to see some real sea change in the way that cancer is treated, diagnosed.
00:06:34:09 - 00:06:46:04
Speaker 1
And I think I represent, just yet another way that we can get to diagnoses faster and hopefully give more people a chance to to live a life that they want.
00:06:46:06 - 00:07:12:16
Speaker 3
Yeah, it's interesting you said that because having had former clients working in the cancer space like Memorial Sloan Kettering, there was so much talk about IBM Watson in the early days and maybe overhype of what its capabilities would be in the cancer space and when it didn't immediately deliver on the dream that, you know, where we saw out there, there was almost like this huge skepticism and to say, oh, look, it's overhyped.
00:07:12:16 - 00:07:34:13
Speaker 3
It doesn't work. Meanwhile, I think the truer thing was those are some of the early tests and learnings. Very early of AI in that space. Obviously IBM has Watson X now. They're very advanced in this area. But it's it is interesting to see now. And we've you and I have been around long enough. I certainly have to see a lot of tech cycles.
00:07:34:15 - 00:07:53:08
Speaker 3
There's stuff that in the early blushes is not going to fully make it. And people kind of say, but then it's, it's cooking along the whole way. So I think that's an exciting one. I mean, I think for me, the thing that blew me away this year is not maybe any one advance. It's just the speed of it all.
00:07:53:10 - 00:08:26:01
Speaker 3
And how listening to even deep experts, who have been in the development realm of AI for many years, talk about how much exponentially faster this is coming now than they had seen before. And also just, it is, as I said earlier, really wild to be both a human being and a professional around and awake and alert and mindful when the lightning bolt hits and everybody says, I don't know what to make of this, but it feels so different and powerful.
00:08:26:01 - 00:08:45:22
Speaker 3
So I think I think that's a really, really, really big one. You know, in terms of so we talked about sort of the big picture like, what's that thing that really stopped us in our tracks. But there's a lot of milestones and breakthroughs happening that have started to certainly affect our industry. You know, I'll start on that one.
00:08:45:22 - 00:09:08:21
Speaker 3
For me, it's watching. I baked in everywhere, you know, very, very quickly. We went from the large language models, you know, and OpenAI made a very deliberate decision to release that to the public. And it's actually really interesting to see the coverage behind the scenes after that whole insanity. That's kind of getting more into how the soup was made there and why OpenAI decided to release ChatGPT when it did.
00:09:08:23 - 00:09:25:20
Speaker 3
But we knew very early on that it needed to be baked into enterprise products that were already using. And the speed with which that's happening has been really, really striking me. What has struck you on some of that front in terms of actual milestones and things being released this year? You know.
00:09:25:22 - 00:09:48:07
Speaker 1
When you said that the speed is is striking you? I wanted to ask, why you were surprised about that, and I only ask because of this. I remember reading long ago when I used to work in media planning and buying. I saw a chart. I'm sure you've seen it too. That shows the speed at which different technological advancements hit 1 million users.
00:09:48:09 - 00:10:13:06
Speaker 1
I think by the time you get to Facebook, that happened in like a week, you know, starting with like radio, which took, you know, five, ten years. You know, Moore's Law, isn't it? Is it Moore's law that dictates like change accelerates with change? I think I've been I've been on this, this boat in for so long. I've been waiting for, to see the practical uses of generative AI.
00:10:13:08 - 00:10:48:07
Speaker 1
And I guess that's what's, exciting me the most. You know, you say, striking to. I am starting to be a lot more interested or a lot less interested. I start there with the projections of what I could be way more interested with the like, practical day to day uses of it. Now, I've told you this, the more that I use platforms like Dall-E or GPT four or cloud or whatever it is, the more creative ways I think of using it, and I think that also speaks to the ways that journey is changing right now.
00:10:48:07 - 00:11:19:01
Speaker 1
To your point about speed, I think since Sam, especially since like somebody like Sam Altman has been kind of empowered, by, the staff at OpenAI, I, I only think that I mean, it's going to continue to accelerate at this point. And we're going to have to get smarter, much faster about the ways in which we protect our ethics when using this stuff, because it's it's, I think the practical uses are going to expand just as financially as the technology itself is.
00:11:19:03 - 00:11:38:21
Speaker 3
Yeah. You're so right. And I think you're right to, to ask me that question and like, why I should be surprised at how fast things develop. The curve, like if I think about one of the last seismic shifts, which is really the, the right to web, the meaning WordPress, Typepad, I don't need to code the web is open to me.
00:11:38:23 - 00:12:19:13
Speaker 3
Web one. Yeah. And then social media, that arc of adoption of of process change, of societal change happened at a certain speed. This one's coming even faster. I think something you just said. Kyle and I had a session internally yesterday here at Sheehan's with many, many of our colleagues just to talk about the state of Chennai, what we're seeing, what it's baked into now, what our roadmap is, etc. but we had a lot of fun with prompts in the chat, prompts for the human beings, not for the AI, and we are asking folks to share some of the use as they do at work or at home.
00:12:19:15 - 00:12:38:00
Speaker 3
And you're right, Kyle, like the diversity and creativity and in some cases, the total randomness. But you're like, seriously, you thought to do that? That's so random, but it's so smart that I was kind of stunned. And it was funny in the chat to see other of our colleagues being like, whoa, I never thought of all these things.
00:12:38:00 - 00:12:58:17
Speaker 3
So that to me, I think, something came to my mind. It's like you light a sparkler, you know, at 4th of July and all these sparks start to fly off of it. That's what it felt like watching the chat, like all this creativity and energy, that just seems to feed on itself. And maybe that sounds a little bit like the experience you're having.
00:12:58:19 - 00:13:20:05
Speaker 1
Oh. Oh, for sure. I think it like, kind of crystallized for me. I started using it a while ago, maybe a couple weeks ago to, help me draft and and this is it's wild to even admit this, but I asked it to help me draft a, conversation with my five year old because our zones are changing here.
00:13:20:06 - 00:13:43:13
Speaker 1
So his school that he's in now is not going to be a school he will be able to attend without, you know, some alternate, some, extenuating circumstances next year. So I asked, ChatGPT GPT four specifically, like, give me the draft of a conversation. That explains to a five year old why he has to change schools in a year from school he doesn't like, or he that he likes a lot.
00:13:43:15 - 00:14:14:12
Speaker 1
And I thought that the way that this thing framed up a conversation like this was fascinating to me. Like, not something I would have thought of doing six months ago, however, and this is why I'm being specific about signing GPT for GPT four, the more advanced version of, the OpenAI Gpt3. So it is a little smarter, a lot smarter, honestly, about, picking up on cues and understanding prompts than 3.5 words.
00:14:14:14 - 00:14:39:12
Speaker 1
It was fascinating. I thought that the way that it framed this up, obviously in the perspective of the parent, it trained it up as, a situation on a playground. This these are, these are ways in which I had not thought of using it, but helping you navigate, real human interactions, not replacing them, but kind of giving you a way to frame your mind around potentially difficult conversations.
00:14:39:12 - 00:15:03:12
Speaker 1
I think. Sounds it sounds maybe dystopic in some ways, but to me it is almost therapeutic. It gives you a way to kind of get your thoughts out, help you organize them, and then perhaps come up with a more productive way, a camera conversation that perhaps may have been harder to have previously kind of primes you for that.
00:15:03:14 - 00:15:36:04
Speaker 3
That's such a fascinating example. And so that's just another thing of like, wow, you know, just see, experiment, see what it does. It reminds me, you know, in the discussion with our colleagues yesterday, a big theme came out which is helping you think about things in a fresh way, or maybe coming at it from a different corner. And if you look at DeepMind and their experiments with AlphaGo, you know, which built on what IBM did with chess earlier, you had this question of could a machine ever beat, you know, the elite go players around the world and everybody knows the story now?
00:15:36:04 - 00:15:59:10
Speaker 3
It did because it tried to move that just was so atypical that that a player that was decades and generations of human knowledge, that wasn't the way a master would play the game. And it's it's that reminds me, that's like it's taking a conversation that you as a parent, we usually approach in like a variety of ways and bringing it into a totally different context.
00:15:59:12 - 00:16:19:15
Speaker 3
To bring it into our industry, the marcom industry. I feel like in talking to many agencies and many colleagues and many client side folks over the course of the year, because it's such a top. I mean, all of us are talking about it all the time. How are you using it? What are you doing? The real theme right now of this year is experimentation to implementation.
00:16:19:15 - 00:16:42:13
Speaker 3
And I use implementation loosely because it's not as fully realized in many ways as it will be. I mean, that's that's obvious right now, but people are trying to put the rubber on the road in terms of how are we going to use this. So if you look back at 2023, Kyle, what are some of the early implementations you've been seeing in our industry or contexts that have been interesting to you?
00:16:42:15 - 00:17:15:00
Speaker 1
Well, you know, I think we're still at the nascent stages of what's possible in PR, PR and comms. For Gen I, I see the most readily, applicable ways to use gen AI is, would be in data and analytics. I think the more that you are leveraging data to make decisions, the more help you will likely need to interpret that data, especially now as we are getting access to more and more information.
00:17:15:02 - 00:17:42:16
Speaker 1
The one of the ways that we are or that certainly that I am trying to leverage any AI is to help with, social media analysis is to help with, sentiment analysis. I think most of these tools are a lot smarter than, tools like net based were. And that when they were using early versions of AI to kind of help, or machine learning to kind of help understand how sentiment, is, coming through and people's commentary on social media.
00:17:42:18 - 00:18:23:16
Speaker 1
We're in a much smarter place now. And though we may be still at the early stages of what's possible in data, generally in PR comms, I do think that genie AI gives us an opportunity to, to catch up, to other, industries like, you know, marketing and media buying and playing around data for decades, basically. And so now we're I think, you know, I can see a situation where maybe we throw in, a few examples, a few articles that highlight a client's crises from, you know, let's say a five year period and then use, an AI model to help kind of predict what crises may come up based on a PR,
00:18:23:16 - 00:18:53:20
Speaker 1
an article, an advancement, news, a newsworthy item that our clients talk to us about so that we can start to understand a little bit better how the past maybe influences our future actions. And I think you can use that same exact philosophy for content creation as well. I kind of just understanding what what you should be able to reasonably predict about a person's reaction to a piece of content just based on how they reacted to other pieces of content before.
00:18:53:20 - 00:19:11:12
Speaker 1
I mean, I think obviously we're still very early on in that, but to mark to the point that we were making earlier, the more that we start to use this stuff, the more creative we we think of using it. And I think this is just one of those ways, the data, the data side of this, I think, is what really, really excites me.
00:19:11:12 - 00:19:15:01
Speaker 1
And I think that's where a lot of smart organizations are starting to leverage it now.
00:19:15:03 - 00:19:43:11
Speaker 3
Yeah. And it's interesting, I think back over the course of my career, and it's always been exciting to watch the convergence of major trends and themes. So I early in my career, I got to watch the early advent of mobile phone working in wireless, and then the early advent of the transformation of the financial services industry into online, and then some of the really interesting technologies that were in the physical world, like contactless, you know, like tapping to get into the subway.
00:19:43:13 - 00:20:06:18
Speaker 3
One of the earliest examples of that was in Singapore, in the Singapore Metro system. And then suddenly you had this. All can come together into the mobile phone. You need it. IPhone, you need it, the financial services industry to come to a certain point, you needed certain other technologies like RFID and others. But when you converge together, suddenly you have mobile wallet and tap to pay and an Apple Pay and etc. etc..
00:20:06:20 - 00:20:16:21
Speaker 3
Right now what you just said, we are at a convergence point of all the discussion that's been had about big data. Remember when that was the term big data and then.
00:20:16:21 - 00:20:18:18
Speaker 1
Data takes me back.
00:20:18:20 - 00:20:40:21
Speaker 3
Exactly. Big lakes and and you know, pools of data that everybody was talking about as if that was the answer. No, that is actually the problem. I have this data. What do I do to derive value? Then we heard about machine learning. How will that help us. And then we hear about predictive analysis. Well predictive. That sounds exciting.
00:20:40:21 - 00:21:02:21
Speaker 3
How does that work. Now we're seeing the convergence of all of this. And clearly there are many professionals and industries that have been deeper into this, as you said, that have already been unlocking this. But I think now it's the proliferation of of it across enterprises and even into the consumer realm that's so exciting. And yeah, I agree with you.
00:21:02:21 - 00:21:10:03
Speaker 3
That's that's going to unlock value in ways for our clients and for ourselves that we've only thought about in the past and hoped for.
00:21:10:08 - 00:21:37:20
Speaker 1
As, as a leader, of a company with, you know, 100, 150, 200 plus people. How do you realistically think about implementation of some of these using some of these use cases as examples? I mean, could you sit and in a place where you're kind of getting a 30,000ft view of the the goings on in the operations of DNS, but you've also got to think of like practical on the ground implementation too.
00:21:37:20 - 00:21:45:04
Speaker 1
So where do you find the, the threads that allow you to anchor some of this more conceptual thought into like real, tangible action.
00:21:45:06 - 00:22:10:05
Speaker 3
As an organization leader, but also a practitioner? You know, I'm still an active counselor and media and presentation trainer and practitioner. I feel it's incumbent upon us to think at multiple levels at one time. We need to think 100,000ft as in, what does this mean to society? How will this change how we live? What does this mean to be human?
00:22:10:10 - 00:22:36:05
Speaker 3
What does it mean about authorship? How do we understand the ethical dimensions of how humans will interact with this unbelievably powerful technology? And can an agency like ours survive into the future? That sounds dystopic, but I mean that very seriously. What will our business look like? What will our services look like? How do we bring the best of ourselves, augmented by technology, to be the best partners and counselors?
00:22:36:05 - 00:22:57:17
Speaker 3
So that's 100,000ft level. But then you're right. I have to zoom down onto the ground to say, how do we actually operationalize this? And some of the things you and I are involved involved in. Kyle, with our Chennai team here, it's going to be very much about the big picture. But then also what are the use cases? How do we separate them into pillars?
00:22:57:17 - 00:23:18:18
Speaker 3
What are the pilot tests? How are people are reducing it? What are the ethical guidelines we need to put around this? Based on my work with the PR Council and how do we both experiment and support business model? So, you know, I don't know if you have any reactions to that, but I think it requires all of us to be very elastic and flexible in our thinking.
00:23:19:00 - 00:23:21:06
Speaker 3
Go big and then zoom in.
00:23:21:08 - 00:23:56:12
Speaker 1
I do I mean, you know, we're we're about to get into a conversation about the industry adapting to some of these, these changes. And, you know, I don't want to spend too much time, navel gazing. However, I do think that, you know, kind of pursuant to the title of, this podcast, I think the, the brand gravity around our agency and probably about or around a lot of legacy agencies will probably need to shift and probably, you know, it's worth it to think of the ways in which we may be need to adjust how we brand ourselves.
00:23:56:12 - 00:24:21:03
Speaker 1
I think everything you're talking about makes total sense. And, you know, having dedicated people here that you've picked to be at the forefront of this experimentation and having and give them like actual tangible tasks is paramount here. But I even think the way that we talk about this agency, as we start to blend some of this technology into our day to day, I think that's really going to be what's necessary.
00:24:21:05 - 00:24:30:18
Speaker 1
For most organizations, really, ourselves included, you know, as we start to change and adapt to some of these, some of these new techs and new ways of doing things.
00:24:30:20 - 00:24:57:10
Speaker 3
Yeah. And part of it will be I'm not doing the same thing that I did 30 years ago when I came into integrated marketing communications at a very large agency, Burson-Marsteller. And of course, yes, my role is different. I'm not entry level now, but nobody and this is the funny example, but there's a billion of these. Nobody is putting out press clips and measuring column inches and pasting them onto a piece of paper.
00:24:57:12 - 00:25:38:02
Speaker 3
That sounds absurd now, but the reason I say that is jobs changed agency capabilities change, client needs change, client organizations change. Sometimes that change is fast and really painful and disruptive. Other times it's such a slow arc that suddenly you wake up and say, My God, how much our lives have changed? I think if we can pivot into what we expect to come in the next year or so, and what you know, very practically, but I'll say the bigger picture, I think that what I'm going to be watching both as a practitioner, as a colleague, and as a client counselor and as a leader is where is the change going to be fast
00:25:38:02 - 00:25:55:13
Speaker 3
and where is it? Will be a more steady, organic arc where, hey, it's just getting baked in. Oh, we're unfolding capabilities. Oh, we can work faster versus wow, we really need to shift what people are doing. Like we need to make that decision tomorrow or today. We need this tool, this platform. And I think you're right, Kyle.
00:25:55:13 - 00:26:18:04
Speaker 3
It's it takes a lot of intention of thought about. And also, what is it that client organizations will need? One of the most fascinating things I've watched over the years is which capability is live, where and who feels they need them. Who is that that brought web development, in-house agency or client side? And then when was it farmed out against partners who are specialized?
00:26:18:06 - 00:26:36:08
Speaker 3
How many people are on internally on a social media team? How many are doing content internally at a client? Where are they using an agency for that? Where do we begin and end? There's a million answers to that question, but I think part of it for us is also understanding where the human begins and ends, where the machine begins and ends.
00:26:36:10 - 00:27:08:15
Speaker 1
Conversation that came up in in the townhall we were doing yesterday. Listen, I think most people when taught when when you talk to them about this, I think will probably have a somewhat fearful reaction at worst, cautious one at best. I think there's probably merit to a blend of those two, sentiments, honestly. However, I'll say this the fact that we and other agencies like this are starting to explore and sign on pilots and partnerships, I think that shows some of that thinking is being shared.
00:27:08:15 - 00:27:25:23
Speaker 1
You know, caution is justified to an extent. I think no one really knows what the next five, ten years are going to look like when it comes to, jobs, especially in the comms industry. You know, you I've seen a couple of studies. I will not try to cite them here. Just Google them. But I've seen a couple studies.
00:27:26:01 - 00:27:55:14
Speaker 1
Yeah, I can see kind of a couple of studies that talk about the industry's most that are probably going to be most affected by generative AI preponderance, PR, comms, marketing, writing, like all that stuff. I mean, it's near the top of the list and all of them. Not surprising. I think all that just means, though, is that the ways in which we think about how to use this stuff, and these advancements, I think you you have to you have to, to your point, move both with caution and with intention.
00:27:55:16 - 00:28:17:15
Speaker 1
But you also have to be curious enough. I love the for the phrase curiosity. I think curiosity is one of the more redeeming characteristics anyone can have. You got to be curious enough to actually try some of this stuff yourself. To my point earlier, identify the ways in which you're using it that could spark more esoteric ways of using generative AI.
00:28:17:17 - 00:28:26:04
Speaker 1
And then use that as a guide to maybe on a larger scale, what you can implement and what actually, maybe you need to take more time to do.
00:28:26:06 - 00:28:49:00
Speaker 3
Yeah. Part of what I'd love to spark in myself and others is the joy of this exploration and experimentation, while being really clear eyed about cautions and and and concerns and also possible very difficult futures. If we as a society and as human beings don't stay attentive to that. I think we are at our best in this field.
00:28:49:00 - 00:29:14:12
Speaker 3
Counselors, thought partners, innovators, we are called on because we're not in the day to day, every day with each of our client organizations, their talent and they're situated in the business that they're in. We stand at a crossroads of many industries, and that's supposed to be our goal and our role. And we can never lose sight of that.
00:29:14:12 - 00:29:39:07
Speaker 3
And it's not a defensive posture at all. It's actually a really celebratory one, because it does celebrate curiosity and intellectual rigor and being open and cross pollination in multiple industries. And what are we learning? But we have to remember that our value is to bring that spark back to those who are contracting with us, you know, spending their, you know, valuable capital to bring us in as partners.
00:29:39:07 - 00:30:08:06
Speaker 3
So if I look ahead to the future, you know, let's both think for a minute about what are we most excited about over the next like one, two, three years? I'm pretty excited about AI everywhere. I'm very excited about it being baked in in all kinds. I mean, there's such an explosion of development and creativity on the technology front, especially as these platforms open source or allow folks to, you know, create off of them.
00:30:08:08 - 00:30:34:15
Speaker 3
And also as the larger entities allow enterprises to sort of create their own large language models and, and, you know, predictive models, etc.. So that's exciting. So that mass integration, and I'm also really excited in the next year about really leaning into the places that we can make ourselves more efficient and creative, where things were a little bit rote before.
00:30:34:15 - 00:30:55:13
Speaker 3
It's always hard. You get the most amazing, talented young people who come in and you're like, hey, there's this stuff that you have to do that is a little bit rote, but if we can make that more strategic and fun and interesting and faster and smarter, that they can then add value to places where that human instinct is there.
00:30:55:13 - 00:30:59:04
Speaker 3
I think that's amazing. Mean, what are some of the things that you're excited about?
00:30:59:06 - 00:31:12:21
Speaker 1
I mean, you heard me talk about this at the beginning of the podcast, and it's been this way for a while, but I really think that the biggest and most interesting advancements are probably going to be in medicine.
00:31:12:22 - 00:31:19:14
Speaker 3
I want I hope that's the case, Kyle, I really do. I mean, that's that's an amazing opportunity.
00:31:19:16 - 00:31:48:15
Speaker 1
I mean, I think the diagnostic abilities of AI are probably its strongest suit, its ability to, digest, find connections, build on, identify trends that are probably often missed by humans. I think that creates so much potential for being able to find diseases, being able to diagnose people early and to my point earlier, give them, a better chance of living.
00:31:48:17 - 00:32:19:00
Speaker 1
I think the, the, the less kind of, I guess, life changing examples that I can say, I, I love the ability, to create images. I think the Creative Spaces is obviously handwritten a little bit, because of this and for good reason. You know, a lot of what the writers and directors, and, the actors have been fighting over is about ownership of IP and how things like generative AI models are being fed.
00:32:19:02 - 00:32:44:02
Speaker 1
However, I see it as a potential for expanded imagination. I recently used Dall-E to give me an idea for, a tattoo, and I'm not expecting to walk into a tattoo parlor with this exact thing. In fact, Dall-E has a weird thing where if you if you. I gave it my son's name, but it kept misspelling it weirdly.
00:32:44:07 - 00:32:47:19
Speaker 1
Add letters, remove letters, combine letters.
00:32:47:21 - 00:32:53:16
Speaker 3
Just keep. It's keeping us on our toes. It's making sure that we don't understand what the hell is going on.
00:32:53:19 - 00:33:19:08
Speaker 1
Yes, exactly. But I had I had that idea of, you know, my son's name emerging from the water for years and really couldn't properly articulate how it should look. But this gives me at least a starting point that I can talk to an artist about to actually make it something real, something tangible, something moat, a motive for me.
00:33:19:10 - 00:33:37:01
Speaker 1
And I think that's where a lot of I think smart creators are using it just as an inspiration engine, like, oh, let me just spit this idea out and see what it comes back with. And then maybe I can take that and tweak it and change it just because I now have a physical representation of something. I was just thinking.
00:33:37:03 - 00:34:09:19
Speaker 3
I think that's really powerful. Our creative team and even folks beyond our formal creative team who are exercising their own creativity, we have people asking us to do so many different things, but our creative team is really leaning into this and understanding its edges and boundaries and pushing those edges and blank page brainstorming. And also, you know, the enterprise piece, the baked in piece when platforms like Adobe bakes, some of this capability right into the tools are already using that just as a game changer, right?
00:34:09:19 - 00:34:41:11
Speaker 3
So, you know, simple things like, hey, there's a photograph with two people and I need only one of them, and I'm going to have I erase them and fix the background and seconds. What used to take some careful work over maybe an hour or so to really get it right. That is the kind of removal of friction and speed that then allows each individual for each professional to bring even more of themselves to what we do, you know, and that that to me is really, really exciting.
00:34:41:11 - 00:35:07:21
Speaker 3
I think that brings me to the places as a counselor where we need to exercise, thoughtfulness, caution, advice. I'm still I used to work with ask cap years ago, the American Society of Composers, Authors and Publishers, and I was very involved with digital copyright issues in the early days of Creative Commons and post Napster. And, you know, this world now is supercharged.
00:35:07:21 - 00:35:45:20
Speaker 3
Some of the issues, like the rights of creators, the the proliferation and digital of IP ownership payments. I think we as agency people need to keep intellectual property law, protection of creators, protection of people's images, and also authentic representations of things. Deepfakes, misinformation is definitely a concern to me. I think you'd be completely Pollyanna and blind not to be concerned about, as you said, what are the choices that individual people or groups are going to make on how to use technology that is this powerful?
00:35:45:21 - 00:36:04:20
Speaker 3
So as we come into an election year, as we try to advise our clients and ourselves on what the proper uses, I want to make sure that we're looking at this through an ethical lens, and that we never lose in our excitement, that we also never lose the other side of the coin, which is what's a responsible and intentional use of this technology.
00:36:04:20 - 00:36:07:05
Speaker 3
I mean, what's what are your thoughts on that? Yeah, I.
00:36:07:06 - 00:36:34:00
Speaker 1
You know, I, I when I think about policy, it is always really, really nuanced thoughts for me only because everyone whenever you write a new policy, especially for a policy, is something that nobody understands 100%. And that is constantly changing. I think we're probably still dealing with some of this with social media, actually. I mean, it requires a certain level of understanding.
00:36:34:00 - 00:36:56:05
Speaker 1
And I think when I think about, you know, I know we'll get into the future, a little bit. But when I think about the future, I think about the ways in which people are going to try to regulate AI and whether or not the regulations are going to do more harm than good. As far as our ability to understand how best to use it with intention.
00:36:56:07 - 00:37:23:02
Speaker 1
Like, and I, I, I don't know that like I'm making some wild assumptions here obviously, but I do think that there's enough, evidence in the ways that policy has been written for social media that we, you know, you run the risk of not including, like, nuanced thought into how we leverage AI. If you kind of are not just quick to advance it, but also quick to overregulate it.
00:37:23:04 - 00:37:50:07
Speaker 1
You know, I don't want to sound like a deregulation like, maybe here, but I, I, I'm just I'm just bullish on, on advancement. And I think that the more you have people or a more diverse array of people who are willing to experiment with it, much like I said about more creative ways to use it, I think you come up with more creative, and more nuanced ways to manage how to ethically use it.
00:37:50:07 - 00:38:21:07
Speaker 1
And I don't think any policy can stay stagnant. I think even hours at genius, which is a good one, I think, we'll probably need to change next year as, this technology becomes more ubiquitous and it changes itself, and we're going to have to find different ways to think about what experimentation looks like and get more comfortable with how things that we maybe have felt comfortable doing as humans can either be come either obsolete or heavily augmented.
00:38:21:09 - 00:38:28:05
Speaker 1
Our our humanity can be augmented using some of the the creativity that this might unlock people.
00:38:28:07 - 00:38:59:15
Speaker 3
I think you're very right. The way I would phrase it is that regulation in this space is likely to lag. That's why it's incumbent upon us as counselors, to our clients and experts in our field, to create both the environment for experimentation, pushing, opening up, transforming how we work, but also understanding what we think are the proper guardrails and what we feel is an ethical lens on the application of generative AI.
00:38:59:17 - 00:39:16:22
Speaker 3
I think that's going to be very, very important. What's what's your advice for Markham's and PR professionals to stay ahead and just we we cover as a whole integrated marketing communications landscape. So what are you most hoping that even our own colleagues do in the future?
00:39:17:00 - 00:39:54:16
Speaker 1
I mean, honestly, I think experimentation is key. I think getting and getting access to and using the most advanced versions, the advanced models, you know, I think a lot of people still use, GPT three and 3.5, and that is kind of their baseline, baseline of knowledge for what I kind of is. And when you actually look at GPT four, even even prior to an extent and some of the other platforms that are exist that are coming into, coming online now, it's way more advanced.
00:39:54:18 - 00:40:30:11
Speaker 1
You know, it's way smarter, it's way easier to kind of get at some useful, responses. You know, I've, I've even started using GPT four as like a de facto replacement for Google. Right now, you know, if you if you write your prompts the right way, you can get a detailed answer on anything, and way more detailed than what you would get from Google, because Google's just a collection, like a list of websites as opposed to an articulation and explanation of why something is with citations, which is what you would get from, ChatGPT.
00:40:30:13 - 00:41:01:16
Speaker 1
So I would just encourage people in the industry to experiment with it, not just in prompt writing, not just in research, but in the ways that you can more, readily, show off tone and voice. You can ask AI to help you. And, I that's probably what the thesis of a, maybe a press release of a blog post of a white paper is to make sure that your, your ideas are actually coalescing into something useful.
00:41:01:18 - 00:41:24:15
Speaker 1
And I think that just the some of the things that I was talking about earlier with crisis prediction, I think I just thought of this like one way that you could, I could conceivably think of, using AI right now is to take an article about a crisis and maybe start playing with your post to see if there was a way this crisis could have been predicted.
00:41:24:15 - 00:41:38:11
Speaker 1
Like, what ways could a crisis like this be prevented? And then maybe start building content off of those ideas? I mean, but that only comes with experimentation, right? And like, I think you have to just start playing with it.
00:41:38:12 - 00:42:06:15
Speaker 3
Yeah, I think you're right. Yeah. And I would my advice to colleagues in our industry and really beyond experimentation, but then also really lean into what we are talented at in this industry, which is critical and discern and thinking. What is the source? Can we go back and verify something in a world where AI is still, suffering from hallucinations and it will get better over time?
00:42:06:17 - 00:42:24:03
Speaker 3
How do we ask ourselves, how do I know this is right? You know, what do I think about this? And also really lean into the collaboration. And you talked about augmented humanity. I love hearing people talk about what that could be in the future. And I think it goes in a lot of different directions, including in the physical world.
00:42:24:05 - 00:42:44:03
Speaker 3
But how do you take your skill as a writer who can iterate on different drafts? Who don't you don't make as human as a human being? The first thing you write isn't the final draft. Usually you're going to iterate and you're going to learn something, and what you intend to to write may not be what the final product ends up being.
00:42:44:05 - 00:43:06:06
Speaker 3
So how do you use AI in the machine, for lack of a better word, to help you iterate and use and lead into an open up more space for what makes us truly human? So to finish off today, because this conversation, as we said, could go on forever at this point, on these topics, there's a lot of prognosticating out there, Kyle.
00:43:06:06 - 00:43:39:20
Speaker 3
There's a lot of people have a lot of things to say, and I guess we're two of them as well. So I think we should call what is the pronounced situation that's B.S. and what is not B.S.. I think that's a good way to end. So I'll start with one thing that I think is a little bit of B.S., which is what I'm calling the the utopic dystopic binary, meaning it's either all awesome or, it's all the matrix and it's all AI robot, and they're going to destroy humanity, right?
00:43:39:22 - 00:44:05:21
Speaker 3
So my feeling about people who have prognosticate about our industry over the years, as in the press releases that all agencies are going down, there's never going to be any, you know, stockbrokers again. You know, I've heard too many of these over the years. What I usually find is that the binary is the zero sum. Thinking is B.S. the truth is usually in the middle, and usually what will happen is we will bring the best and worst of ourselves to it.
00:44:05:21 - 00:44:30:09
Speaker 1
That's right. I mean, you're spot on. I don't think you can go to extreme in either direction. Because that leaves you way open to missing a lot of really interesting, nuanced things. So I agree with your total bias. What's best for me, is, is I think you've heard a lot of people say this, the fear of human obsolescence, by, by AI.
00:44:30:09 - 00:44:58:23
Speaker 1
Now, do I think that there is some very obvious, negative outcomes that are possible with generative AI gone unchecked? Of course, I'd be foolish not to. However, my thinking is, and this has been repeated ad nauseum by a lot, a lot of people who are a lot smarter than I am. The most likely scenario is that people who don't use AI are going to be replaced, just like, with any new technology.
00:44:59:01 - 00:45:28:19
Speaker 1
The the people who learn it, who adapt to it, who integrate it into their day to day experience often accelerate either professionally, socially, whatever. Have you, at a much faster rate than those who don't? Not to say that that it's possible, but I certainly don't believe that human obsolescence is on the horizon. What I do think is that the world that we know, the world that we're comfortable with now, that's probably gone forever, but it will just give rise to a new comfort.
00:45:28:19 - 00:45:33:15
Speaker 1
A new what, you know, a new normal, which we should all be familiar with after Covid. Honestly.
00:45:33:17 - 00:45:57:07
Speaker 3
I think that's a really. Yeah, it's true. We're having to go through a lot of change and embracing it and being open to it. So final advice, learn self educate, experiment. And we're going to keep going on that I know here. And and hopefully I just love learning. So for me it's an exciting time to be leading or an organization, but also still doing the tasks that we love to do.
00:45:57:09 - 00:46:06:19
Speaker 3
So Kyle, thank you. And we really appreciate those who tuned in. This is building brand gravity and we will see you back for our next set of episodes in 2024.
00:46:06:21 - 00:46:08:16
Speaker 1
Right on for a great year guys.
00:46:08:18 - 00:46:37:17
Speaker 2
We are gas business communications. We are a team of media strategists, storytellers, and engagement experts who meet you at the intersection of business and communications. To learn more, visit GTS communications.com. You're listening to building Brand Gravity, Attracting People into Your Orbit, a business communications podcast. Keep connected with us by subscribing to the show in your favorite podcast player.
00:46:37:22 - 00:46:49:07
Speaker 2
If you like what you've heard, please rate the show that helps us to keep delivering the latest industry influence. Thanks for listening. Until next time.