[00:00:00]
Aaron Kwittken: If you're using fewer people and you're using AI, shouldn't I pay less? And my answer is, this is like Disney FastPass. So the experience has to be the same or better, but you're paying us because we just let you cut the line and that should have value. And we invested in that ability to allow you to cut the line and eventually everything's gonna be Disney FastPass.
So it's all gonna kind of like level out eventually. Right.
Anne Green: Hello and welcome to another episode of Building Brand Gravity. I'm Anne Green.
Steve Halsey: I'm Steve Halsey and Anne, can you believe we're here at the start of our fourth season of the podcast, some amazing guests over the last four years, and it's exciting to see the conversation we already have lined up for our listeners this year.
Anne Green: Yeah, I couldn't [00:01:00] agree more, Steve, and we have a really great one today. I would actually call it a must listen. For any leader in marketing communications, whether you're agency side or on the corporate side. But before we transition into today's guest, I wanna hear a little bit about what's been on your mind, what's pulling you into its gravity.
Steve, any news or insights that are top of mind for you this week?
Steve Halsey: You know what's been pulling me in into, uh, the gravity this week is really some, some news and some research that was unveiled at Davos by our friends at Page and the Harris Poll, and they're calling it the 2026 Confidence in Business Index, and it's really focused on what does it take for companies to regain credibility in the gen AI area.
And one of the things, and one of the findings that really jumped out to me was the fact that economic impact for everyone, and this was global survey, so economic impact for everyone is now the number one expectation of businesses [00:02:00] globally, but only about a third of people actually believe that companies will deliver on that.
So this is really creating a big gap between expectation and belief, and this is where we're starting to see trust starting to break down in the corporate standpoint. The research also showed something that we've talked a lot about on this podcast, particularly in the last season, that the confidence curve right now is broken.
I have down here, more than 70% of the public says they don't really see or understand what companies are doing on the issues that matter most to them 70%, which means that good work alone isn't enough anymore. That action has to be visible in a way that can be contextualized and is communicated in the way people are finding it.
And that's really where the AI piece came in in the research. One of the most striking shifts is how search and generative AI tools are rapidly [00:03:00] becoming the most trusted source for learning about companies, especially among younger audiences. So the implications of this is huge for the way that brands show up, how they build authority, how they create credibility.
And we're gonna go into that much deeper, uh. And our, one of our upcoming podcasts, we got our friend Rob Jekielek, the Harris Poll. He's gonna come back to unpack those with us and we can talk about what it means for chief communications officers, CMOs, and corporate leaders just trying to navigate trust and technology this year.
Anne Green: I love that Rob is coming back again. Uh, the research, the page. And the Harris Bowl do together is always so insightful. So I'm looking forward to digging into that more soon. I myself have a copy of it. I'm gonna be checking it out in depth. So from my end, it actually, in terms of what, um, has me in its gravity, I'll speak to another piece of research unveiled at Davos.
It's very timely right now as we record in January, the Edelman Trust Barometer, and [00:04:00] I always give them major kudos for creating and sustaining this property for, I think 25 years. I think it's the 25th anniversary. Um, it's super smart and indeed a barometer that shows a lot of change over the years. So this year, um, interestingly aligned with what you just shared, and I have my notes here, they round, um, they sat, found that 70% of those surveyed are unwilling or hesitant to trust.
Someone who has different values, facts, problem solving approaches or cultural background. So that is seven in 10 with what they call an insular mindset. That's the term they used. So that's one. Um, another top line they shared. And you know, this is all available online. Go check it out. I think it's important for anybody in marketing communications to read this survey.
The majority of those surveyed also believe it is a problem that people in their country distrust those with differences. And this is global as well, so much that they actively try to make things worse for one another. That's, [00:05:00] everybody sees this as a problem. And so there's global recognition of the issue here.
Yet interestingly, not a lot of energy for bridging those divides on a personal level. If you go back to the first stat and then the final top finding they touted was that globally all institutions have a mandate. It kind of goes to your question about are people seeing companies doing good? Do they expect it?
What are they expecting? What do they see? But they have a mandate to bridge divides and facilitate trust building. And employers are best positioned to broker trust as they have the best performance scores. Now, you, like me, Steve may remember way back in the wake of the.com days when the top trusted source in the barometer was a person like me.
Remember those days, right? Yep, yep. And this was during the rise of social media and the democratization of connecting with others online. So I find it crazy to see how far we've come and how much both person to person and overall institutional trust has [00:06:00] fallen. And that employers who are the perennial them and the us versus them, workplace binary, are best positioned to build trust.
Steve Halsey: Well, I mean, it's, it's interesting that it, that it keeps coming down to that. But I, but I guess it, I guess it makes sense when you can't trust the other institutions. You really hope that, uh, that the businesses in your community that you work for are the ones that make a difference. So a lot of interesting parallels between those two studies, which means a lot of opportunities, yet a lot of challenges for the communicators out there.
But I think what you're seeing across both of those studies, and, you know, it's, it's in Edelman's title, trust, is that same signal. Trust isn't just eroding, it's just really fragmenting right now. And businesses are increasingly expected to step in where these institutions are falling short. You know, to me, what feels differently now is a sense of urgency between the economic pressure, the AI [00:07:00] disruption, just sheer information overload.
Companies are being judged right now, not just on what they say. On whether people can find, understand, and believe what they're doing. That's fundamentally different communications challenge than it was even a few years ago, which I know you're gonna get into with Aaron.
Anne Green: Yeah. And, and the AI of it all is core to what we're gonna be talking about, but it has a lot to do with society, business trust, et cetera.
So this is definitely a good segue to move on to today's guest. He is a longtime agency leader. We've known him for years, an AI SaaS pioneer in the comms and marketing space, which it very interesting to hear his observations on that. And now he's back on the consultant slash agency side as a senior innovation and AI leader.
Very interesting role that he stepped into. So I'm speaking to the one and only Aaron Kwittken about this critical time in AI enablement for both agencies and corporate side marketing. There's lots and lots to unpack here folks. Lots of good actionable advice [00:08:00] and some hot takes, which I very much enjoyed.
So without further delay. Here is my conversation with Aaron.
Aaron Kwittken: So I'm delighted today to be joined by an old friend in the industry,
Anne Green: Aaron Kwittken. He has been around. Welcome Aaron. We're glad to have you here today.
Aaron Kwittken: Thanks. I think I take issue with old. That's fine. I am. We are.
Anne Green: We're seasoned. We're seasoned.
Aaron
Aaron Kwittken: seasoned.
Anne Green: So for those that don't know, Aaron has had a huge career in the agency side and then also in the platform SaaS side, and now back in the consultant and agency side from launching his own autonomous firm, Kwittken, back in the day after, you know, a number of agency roles, which became I think KWT Global sold that.
Aaron Kwittken: Yeah. Did.
Anne Green: Then launched PRophet, which I think may have the distinction of being the first AI powered SaaS platform in our industry. Is that right Aaron?
Aaron Kwittken: Yep. You got my Venmo. Thank you for saying that. I appreciate it.
Anne Green: Thank you.
Aaron Kwittken: You can flex for me, yes.
Anne Green: Thank you for the prom payment. I appreciate
Aaron Kwittken: that.
Anne Green: Yeah,
Aaron Kwittken: it's painful.
It being first is actually [00:09:00] not good. I learned. And we can talk about why, but, uh, it's extraordinarily painful if you're too soon or too early in something, especially with tech.
Anne Green: Yeah, I mean, being the pioneer, it sounds great, but it, it comes with some knocks and trying to, you know, open that territory that's never been open before in the mindset too.
And now having a very big AI and innovation role at FGS Global, and that's just a few months in. So, you know, welcome again. And I think that what might be interesting to get started, because we're gonna cover a lot of these things, is I've given the stats, right, that you can see on LinkedIn, but tell me about the arc of your journey.
Why moving, first of all, that entrepreneurial spirit to launch your own firm, but then that even deeper entrepreneurial spirit to break new ground, like you said, te, tell us a little bit about how you interpret that arc.
Aaron Kwittken: Yeah, I mean, I've been in the business for more than 30 years. I guess I'm going in my 33rd year.
Started off in Public Affairs in Crisis in DC back in the early nineties. [00:10:00] And it's interesting when you start in crisis, especially if you're an adrenaline junkie, it's not quite like the pit, but it's a little bit like the pit for pr. You, you just kinda get hooked on it, right? And if you start from the perspective of how do I stop a reporter, um, or try to neutralize our journalist from writing something or balance something, it puts everything in perspective.
It's actually easier to then be proactive when you're pitching. So like many of us, I came from that, that earned media world. Um, and uh, you know, I always wanted to start my own agency. So, you know, I really learned quite a bit from others. Every large agency you can think of from starting at what's now, MS&L was Manning Selvage & Lee all the way through, um, to GCI group. And I've had some incredible mentors along the way, which I just wanted to mention because. Without real humans, and I hope that number goes away. None of us can grow, none of us can be enriched. And then sadly, going back to the age thing, um, you know, as we get older, sometimes we, we lose some of our mentors as well, and [00:11:00] it, it actually helps you reflect and appreciate what you have.
So yeah, I started my own agency actually, almost exactly 20 years ago, a little more than 20 years ago. And, um, anybody who wants to start an agency, never name it after yourself because you soon realize every email that goes out has your name on it. Um, and not everybody necessarily is good, right? You're gonna have good mediocre and you're gonna make some mistakes.
So anyhow, we did change it to KWT Global. Um, I ended up just having my own thing for like five years. I sold it to a company called MDC Partners. Uh, and the reason why I sold it, this is important so quickly, is because back in 2010. Uh, social, uh, and digital. We weren't calling 'em influencers yet, was kind of on the rise.
And if you recall, there was like this fight between kind of the ad and creative shops and then the PR shops who's gonna own social. And because PR agencies, firms are so resilient and we are so agile, I, I'd like to say that we won, we pretty much won. Um, and I think it was easier for us because we saw, uh, a front of the house [00:12:00] opportunity to monetize social and to grow our practices and really be like the, the, the, the pointy end of that spear for integration, right?
Integrated campaigns. And, uh, we're actually at that moment again now, but this time it's called AI and it's both front and back of the house. Um, and I'll talk a little bit about why it's more complicated. So, you know, I stayed at the agency, which most people don't for a number of years after selling it all the way up through, um, in my agency role until 2021.
Uh, and we grew it, we scaled it. It was amazing. Um, we embedded ourselves originally inside of a creative shop on purpose, um, because we wanted to be a little non-linear in how we're thinking. My background is B2B and corporate, and that was called Kirshenbaum & Bond. And, um, back in 2019, I was kind of ready to leave MDC, admittedly, and also publicly was having a lot of problems, liquidity.
And long story short is they ended up merging with Stagwell, which was founded by a guy named Mark Penn. Um, I was ready to leave Mark's like, "Hmm, hang out, you know, we need. Um, some [00:13:00] bright minds." Uh, I don't know who he was talking about at the time. And, uh, to stick around and, you know, ultimately what Stagwell's mantra was, how do we transform, how do they transform marketing through technology?
So I was kind of intrigued by that. And at the time I'd been working with a company called Dataminr. Dataminr, um, is now, I guess 15, 16 years old. I think they were really the OG around. Mm-hmm. Triangulating social media feeds to validate what was happening in the digital world, in the physical world through digital feeds, uh, but the un being kind of their main, uh, client and then public sector, financial services and media organizations.
Uh, and they originally were actually, uh, 10% owned by Twitter now X. Um, and, uh, I learned and met all these people who are like these brilliant data scientists that are doing this thing called ai. This is back in 2016, 2017. And I'd always thought in the back of my mind, because there's so much repeatability, uh, to what we do.
When you, when you think about ai and its, and its core promise of, you know, learning, um, and [00:14:00] especially repeatable things, looking back, look ahead and, and kind of recommendation engines, stakeholders, journalists in particular kind of follow patterns. Why can't we look back at past coverage, predict future interests?
So, um, in, I was, uh, you know, I decided to stay and, uh, I was lucky enough to have Stagwell invest in a company that we called PRophet. Um, and it was back in 2019. So pre COVID, uh, you know, um, and, uh, pre-Chat GPT, which came about in 2022. And we built prototypes. And it was, not only was it hard building it as somebody who had nothing to, didn't know any about anything about coding and UX and UI and user stories and data science and whatnot, but it was very hard to sell into a market that, uh, was by, by, by design.
We as PR people were skeptical or cynical or trained to find fault. All the good things, especially you're a crisis person. Um, I'm inherently a pathological optimist. Um, and I had a couple of, and, and actually your firm was [00:15:00] one later on, uh, some really great early users. Uh, P&G was one of them and helped us kind of grow it.
And it wasn't that headwind that we had didn't turn into a tailwind until chat GPT came into the market. Even though we weren't doing generative, we're doing predictive AI. You know, how do I know which stakeholder's gonna, um, be interested in my narrative? We then made generative part of it. How do I make that narrative more interesting?
So the stakeholder engaged in my content, and, um, the reason why I did it is because in 2019, 2020, I had this holy shit, real deep existential moment where I literally thought, I absolutely believed that we were facing the beginning of extinction, or at least major transformation as agency people, because I thought AI had the power to fully commodify.
What we do, or at least up to 80% of it. And that people who are always nipping at our heels are competitors that aren't real our, our day-to-day competitors, but consultancies and ad agencies, in particular media [00:16:00] shops, they would use this to further commoditize what we do and then kind of creep into our scope.
So I thought it was gonna be very DIY, I thought SaaS was gonna take over, and it did for a small while. And then I realized, um, having competed against, you know, Meltwater and Muck Rack incision, these people are just salespeople. Um, at the end of the day, um, the technologies that I was using. Would eventually be accessible and ubiquitous and available to all of us.
And the major moment over the last year that I think shifted the power from SaaS to service to us the consultants, is ag agentic and the ag agentic revolution. And the fact that the unit cost of actually building infrastructure, whether you're gonna, you know, roll the dice and use deeps seek from China or a different LLM, it's all gonna come down.
And you don't have to be a technologist necessarily, or a developer or coder anymore to be able to build AI into your workflow. And actually, instead of having a username and password for decisions and MuckRack [00:17:00] and Meltwater and I don't know, um, you know, peak metrics and blackbirds of the world. Um, we're, we're, you're either gonna be buying their agent and it's gonna live in your work environment, or you're gonna be buying data from them.
It's either API or agent. It's no longer gonna be username and password. That's all gonna go away. Um, and you're gonna see this precipitous kind of reckoning, um, when it comes to pr, SaaS platforms. They're either gonna get bought, they're gonna get shut down, um, or they're gonna change their business models.
Um, so I joined FGS Global five months ago 'cause I saw a great opportunity to work with, I think some of the brightest minds when it comes to high stake stakeholder comms, right? Uh, lobbying public policy, government relations, crisis m and a. Um, you know, um, you, you name it. It's kind of that the farm. No consumer, it's all, you know, uh, corporate B2B globally.
Um, and, and they had already started building, uh, their own model back in 2023. They call it Fergus now. We call it Fergus, but nobody knew about it because it's not, it's not kind of in our genetics [00:18:00] to like peacock, like a large agency would. Um, so the opportunity was to continue to build that out, make it agentic, and also build point solutions with our developers, uh, which I think is another shift you're gonna see inside of firms, the right firms who can, who can afford it, who can think about it.
Um, you know, our, our business is gonna change, where we're also gonna be developing point solutions and hiring, uh, people who do have data and technology backgrounds for our clients in addition to communications programs and counseling and, and whatnot. So, I'll, I'll stop there because there's probably a lot there to unpack, but that's kind of the journey.
So I basically. Thought that it was going one way and I realized quickly, oh shit, I need to make a big U-turn. And who better to u-turn with than FGS, which is also backed by one of the world's largest PE firms. KKR.
Anne Green: Yeah, it's, there's so much there. And, and it's really interesting to hear, you know, that vision shifting over time and what your assumptions are, but also willing to make a bet behind it.
One thing I wanted to [00:19:00] backtrack too, 'cause there is a lot to unpack there. I love, I love hearing the story 'cause I was watching you from a distance for some of this and then got to know you a little bit better later. 'cause I'm a, I'm over 30 years in this game too, on the agency side. So watching with great interest is when you go back to media, your skin looks a
Aaron Kwittken: lot better than mine though.
You're, you're, you glow. I do not.
Anne Green: It's the light. You know, we've, we've got, it's the light. We've got, we've got, uh, stuff that helps us here. Yeah. You gotta, you gotta have your podcast situation going as you know.
Aaron Kwittken: Yeah.
Anne Green: But I, I think what's interesting about you reflecting on the social media moment, 'cause I've been spending a lot of time thinking about that moment of disruptive change, and it was even prior to social media.
It's really about writing to the web, that moment of WordPress and Typepad where you didn't need to know HTML code. I mean, that was really the first thing versus today, but. Talking about what's the competitive step, who's gonna own something quote unquote. And I think one thing that's been very interesting about our field versus some of the other companion groups within marketing, and obviously a lot of our firms are very integrated now, is we've [00:20:00] always been in a multi-stakeholder mindset.
And that was really critical for organic social and paid social to see all the stakeholders, the full corporate narrative, the ways in which that shifts, depending on the audience, versus a more of a campaign mindset where it's like, well, we're gonna do this thing at this time to this one audience. And I, I've been thinking about that today too, because the AI of it all.
And, and all the pieces that will peel back in this conversation. You know, like you said, where is the data sets that are most relevant that help you create things? You know, what, where are those audiences? What are those channels? How discovery is changing. I think it's a huge moment for us. And like you, I've been spending time asking myself, how existential is this?
I think it's pretty existential, but it's also then like you, that's why I wanted to talk today. What is that advantage we can have and how do we think about things like Htic and others in ways that are gonna be productive moving forward? So it is interesting to, to hear that trajectory to start, you know?
Aaron Kwittken: Yeah. No, [00:21:00] no, I, I agree.
Anne Green: A little while ago when you and I were talking, maybe like two years ago or something, you talked a lot about the bets PRophet was making on predictive ai and then the rise of generative. With chat GPT and at the time, um, and this is a while ago now, you were very much like there's a real difference here.
Predictive is more of the thing and we need to spend more time. And that generative obviously blotted out the sun because it's like a magic trick. But to me it was indicative of the fact, and you've heard me talk about this, that there's such a flattening of AI and such a lack of precision and speaking about it and what are we talking about?
So when you think about different types of artificial intelligence and machine learning, how are you thinking about that today?
Aaron Kwittken: Uh, I feel better about the generative in part, again, going back to agentic. And the reason why is because the reason why generative was so, was so sloppy and, and created so much slop and blotted out the sun.
I love that. I'm like, I'm gonna have to steal that.
Steve Halsey: Yeah.
Aaron Kwittken: Um, at first this was like a weird kind of magic trick type thing where everybody was [00:22:00] like, wow. There was like novel. Uh, and then we're very curious. But then not many people really converted. They're still kind of playing around with it. I think this is the year of enterprise ai.
I think this is the year of, uh, ROI, if anything. Finally. And, um, I even have a chart that I've started in 2022 that I have not changed that would show that this is the year and this is the year just saying. Um, but uh, I think because agentic was just pulling from LLMs and also if you remember, backdated web material.
Anne Green: Yes, very much so. I mean, that was very outta date. It's quite different now, you know?
Aaron Kwittken: Yeah. It's so different. And the reason why I was hallucinating is because there were so many voids, right? But because you can now deploy agents to go out and get multiple sources across the entire web, not just from one LLM, but to potentially seven or eight LLMs and different sources.
And you can even wait, Hey, put more weight on BBC, or Factiva, or S&P or [00:23:00] AlphaSense, right? You can wait them now because you can do that. You have less hallucination, you have the greater fidelity of your data and greater facts. Right? Greater validation of what you're doing. Um, and because you have memory and reasoning, now it's learning Anne Green, after you use it enough, it is literally learning how Anne Green thinks.
It's going to eventually be like, I know what Anne's gonna ask next. It's kinda like that spouse who's you've been married to for 30 years. She's not next to me right now, but she was earlier. You know, they know like you can actually have the conversation back and forth. It's gonna be like that. Right? And you know, for us at FGS, we built this platform where eventually, I was just on a firm wide call yesterday and I said, this is your second screen.
If we all work in two screens, Fergus is your second screen. And the fact that you can actually talk to this agent and give it six or seven different things as opposed to one thing by one thing, and it's gonna actually go back and forth and then it does its thing while you do other things. That [00:24:00] is.
That's not incremental. That's, that is I think, the single greatest, um, development and probably the most consequential that we've seen since the invention or the, the, uh, at least the, um, the mainstreaming of chat. GPTI
Anne Green: could not agree more. And I think what's interesting is. It's a mental switch too, for people.
Right. So I've always said that to me, and I'm interested in your point of view on this too. I think one of the biggest challenges of adoption and upskilling, first of all, as a society, we talk about upskilling all the time. We do a terrible job at it. We don't really invest in it at all. I mean, it's Asra Kline talks about this.
Many people talk about it, right? So we can say upskilling, but what does that mean? But I think one of the biggest challenges I'm seeing right now to adoption on a broader level, and I'm talking about like within an agency environment or a client environment, et cetera, is, um, just people being able to interrupt their own workflow and sort of thinking about things in a new way and asking themselves, is there a new way to [00:25:00] do this?
And this idea of using it as, I like the idea of a second screen. I wrote that down. I'll steal that from you in terms of a constant thought partner and a constant generator. And asking multiple things and letting it churn on it and go back to it again and again. So to me it's that issue of the human saying, I've done this, especially for those that have been in the business for a while.
I've done it this way for a while. How do you even think to interrupt yourself and what are the, the repetitions or the frequencies or the examples or those moment of exposure or I've been using the old mobile term, what's the killer app that gets you excited? Right? What do you see right now? Like, what does that bring up for you in terms of where the drag is and you know, what is it that turns that light on for people to recognize and also like, get hands on with it the way you're talking about it as that second screen.
Aaron Kwittken: This sounds very dated, I'm sure, but I like to operate on the fear greed continuum. People operate mostly out of fear or greed or g fear,
Anne Green: greed. Uh,
Aaron Kwittken: [00:26:00] yeah. It's, it, it's, it's real though. It's, it's very human. It's very humanistic. What I've experienced more recently is I've been tapping into greed. Um, so, you know, how can you grow your revenue faster than your headcount?
Um, how can you, um, better utilize your associates' time, um, to actually, uh, train them like you, to be critical thinkers and strategists and problem solvers versus just doing mundane research and tasks and things like that, right? So I think that if you can at least create the ROI for people, especially senior people, but even more junior people, I mean, if you're talking to a more junior person, um, these are skills that they need to have, that have to be native and, and, and, and innate, right?
Um, you know, and then the fear thing really, um, I think we're past that, but I'm not entirely [00:27:00] sure we're past that. Um, I think we were there for a while. I don't call it upskilling anymore, just so you know, because I a hundred percent agree with you. Uh, I call it updo. Updo means just fucking do it. Just start playing around and it stop whining.
And by the way, you know, if you really wanna force it, you don't get it. It's part of your performance review, right? It's part, uh, it's part of your compensation review. Um, it is, uh, very much part of our apprenticeship program. Like if AI and workflow optimization needs to be as much a, uh, carrier for culture as every, all of your other values that you have or don't have, or say you have inside of your firm or your department inside of a brand.
Um, so for us, you know, we look at adoption, we look at usage, um, and we look at first weekly average users. And that's very generous. By the way, once a week. [00:28:00] How many times, and then we're moving to daily. Right. But I think if you really want to, you know, you have to, you have to have carrot and stick. Um, uh, sometimes it's kind of like parenting in some ways.
Like, you know, uh, you don't know what you're missing. You don't know what's good for you. If you're trying to get them, you know, try new food, whatever. You can wait for them to learn on their own, but you might have to accelerate it. And sure, the world is terrible at upskilling and professional development.
I think agencies in general are horrible at it. I'm no better having run, having built my own, run my own. I'm always like, yes, we're gonna focus on professional development. Then it's like, oh, we've got this client thing. Oh, we have this new business pitch. Oh, I, you know, they're taking a vacation. All, all three really good important things.
Professional development o always falls the to the flow. So instead of just, you know, develop people, you know, as you go, um, don't, and, and of course, you know, we have office hours, so. Um, we allow people every week we have multiple times a week where we have technologists and then people from [00:29:00] our AI and innovation team just dial into a team just like this.
And, uh, you know, I wish it was just dead air and I could reclaim that hour or two back. Actually, I'm glad I don't. People just dial in, they ask us anything, their AMAs basically. And, um, and it really, and some people wanna just do one-on-one, but we also just kind of invite people because the more and more kind of schools or structure we do, we'll do roadshows with offices and things like that.
But really it's just about, um, forcing it on the review and compensation side and just getting people and, and, and it making sure also that senior people, when they're asking for new hires, you have to push on them and say, okay, but explain to me how you are actually, uh, servicing and staffing your business on the, on the, and this goes, this is true also internally.
And how are you using technology to better optimize what you're doing?
Anne Green: Yeah, and you'd said it earlier, back of house and front of house. I mean, it's, it's, it's going to touch all areas of our business for sure.
Aaron Kwittken: Yeah. And, and the reason why I say [00:30:00] back in front is because historically comms people are really good at front of the house opportunities.
It's just who we are. We're really bad at the details about the back of the house. Very few of us are good operators or like care about the back of the house, the pipes and the plumbing, and we're like, eh, and we like kinda leave it, right? It's a little messy. Now we have to care about both and that's uncomfortable for a lot of us in this business.
Anne Green: Well, yeah, especially data integrity, data storage structure. You know where it's coming from, how you're pulling from it, or else it's not. I mean, last year we spent a lot of time working on that just so we could maximize what we can actually do in this new world. But, but you're right. It's not sexy, but it's really, really critical to getting rubber on the road here I think.
Aaron Kwittken: Totally, totally.
Anne Green: So you said something that I enjoyed, which is naming things that you have a little chart that you've named. So, um, I think it's important sometimes for our teams, especially with a change as big as this and I have a lot of compassion for whelming. This can feel, especially with the big workforce discussion out in the world, it [00:31:00] just feels very overwhelming.
And, and the AGI of it all, like having to have a portion of your brain wondering if Sam Altman's gonna find like artificial general intelligence that's gonna turn to this topic. Like that's not the easiest thing for people, but we try to make it legible year to year, you know, so we call 2024 the year of AI exploration.
2025 year of AI enablement and this year we're calling it AI Standardization and acceleration. So part of our job is to create what we're calling standard operating procedures or SOPs for different types of accounts. So if you're standing up this type of account, whether it's marketing or earns media, et cetera, you should be running these types of agents, these kinds of workflow standard.
This is how the younger people are orchestrators of it. And we're deep in that process now, and I think it's gonna be really helpful. But you know, as you look at 2026, you said just a minute ago that is this the moment of enterprise AI is the moment of of ROI. So yet, tell me what you think is [00:32:00] this year for both agencies and corporates and what's the make or break right now for you, Aaron, in the next 12 months
Aaron Kwittken: on the agency side?
Uh, we'll start there. Um, I think that agencies have to decide. I, I don't know what. What you guys are doing. I can tell you that we went the path of, you know, building our own platform and then having it sit on multiple models. So that requires having, you know, uh, we have a labs division and there are 50 to 60 developers, front end background, ui, ux, you know, qa, uh, data scientists, all, and, and we had to build kind of infrastructure.
That same team also builds point solutions for clients. They pay for themselves, honestly. Um, but still, uh, they, their large, their large, uh, role in this world is contribution margin. It's optimizing our workforce and making us do things faster, better, um, better, faster. And, um, the make or break for me [00:33:00] actually is making sure that, 'cause we're very.
Um, disclosed very transparent with our clients when we use our systems, 'cause we use our systems for everything. And the make or break for me is the moment that a client comes to us, and this goes for everybody. It's cold comfort and says, well, if you're using fewer people and you're using ai, shouldn't I pay less?
And my answer is, um, this is like Disney FastPass. So the experience has to be the same or better, but you're paying us because we just let you cut the line and that should have value. And we invested in that ability to make, to allow you to cut the line. Um, and eventually everything's gonna be Disney FastPass.
So it's all gonna kind of like level out eventually, right? But why in the world were clients paying us or anybody by the hour to do things to take a long way? So the make or break is moving from hourly to fixed fee from outputs to outcomes. That's the make or break, whether we like it or not. That is where it's going.[00:34:00]
And instead of waiting for it to come, we need to get out ahead of it. And that's definitely what we're doing. I think a lot of firms are doing the same thing. It still requires people enter their time, by the way, it doesn't mean time entry 'cause you still have to know where they're spending their time.
You need to know your cost basis. But what's really fascinating for me is then figuring out, um, you're able to now actually put of value on the agents that are working alongside of your colleagues to help them be better and faster at what they do. So that's the make or break. I think it's interesting that some larger firms like Weber for example, they're, they're probably like, they had a holy shit moment, I'm sure you know, and they're part of this big, mega, mega thing, right?
Mm-hmm. Now the IPG on the come thing right now just on Theum and they're like, holy shit Nick, what do we do? And they're like, we're just going to, I think it's an easy way out. I don't think it's the best way out. We're just gonna partner with Google and we're just gonna have Google do everything. That's great, except that you know, Google's not native to your business and it still requires a lot of work on their part because they're not purpose built for pr.
Um, [00:35:00] and, uh, it's only one model. It's Gemini, which is by the way, a great fucking model, but it's just one model. The best agencies, well, sorry, the agencies that are gonna optimize AI the best, I should say in the best way, we're going to sit on top of multiple models, be ag agentic, move to fixed fee, um, that is very make or break and hold the line when it comes to pricing, because I could feel procurement breathing down our necks right now.
I could, I, I know it's gonna happen. I know it because that's their job and it's misinformed and misguided. So it's becoming upon us to empower our clients. And then the other, the second make or break is what, how will companies use this and what will they decide to keep in-house versus, uh, send out of house to us?
So we like to whine about media monitoring, right? It's annoying, but we still make money on it. Um, whether or not we're it's AI enabled or human enabled, or it has to be a little bit of both. But, you know, if you're, you know, head of comms for a [00:36:00] big corporate Caterpillar just making, using the example, they're not a client, right?
Can I say them? I'm just making them up. Um, uh, you know, does it make sense to just, you know, do that in-house and hire, you know, have a, a young person just manage it for you instead of five people doing it at an agency, whatever, it would be less. So there are certain things that. There might be take back moments that come out of our scope, which might be perfectly fine.
There are also other moments where, um, you know, if I'm a brand, I'm like, yeah, I don't really wanna build this myself anyway. There's certain things, uh, that my company's gonna be doing that I'm gonna probably be plugging into 'cause I have to deal with it now. Um, and that takes a long time and it doesn't really know our business so that they're gonna be slowed down by it, which is our opportunity to say, actually let us do this for you.
We'll optimize it. Um, and we'll be able to work faster for you. So that's gonna be a make or break. I don't know where, where we're headed. It's gonna be a little bit of a mixed bag. And on the client side, I don't, I, they're not quite there yet. They're not ahead of us yet. But [00:37:00] if we don't continue to move fast and at least have these open discussions with them, they're gonna, the conversation isn't gonna be, you know, we're looking at a different agency or sometimes we just need a change.
Um, or, you know, we're gonna go into review. Actually, the competition could be. We're gonna, we're gonna take this in-house right now. They've said that before, but now they might have more impetus to say that that might be the mandate inside. I just don't know. That is kind of a scary moment.
Anne Green: Yeah, and I think that that is something we all need to be thinking about really seriously, because I do see a lot of corporate teams, you know, really digging in and making progress.
You and I, and, and our peers are circulating in similar venues and talking to CMOs and CCOs and I, I do think that this question of the internal activation where there's legal, regulatory, it, there's a lot of layers there. But I really liked what you said, Erin, about. How can you be, how can you build a structure, however you approach it, that's a bit agnostic about which models you're gonna use?
You know, one of the things you and I have [00:38:00] both seen, and you know this from the SaaS side too, is whenever there's new developments and technology and platforms, the pricing is challenging. You know, for agencies over time, they're expensive. There's a proliferation of competitors. You know, there tends to be an arm race around dollars.
And for some reason that doesn't usually lower the price point in our sector. I don't, I don't understand how supply and demand work in our sector, but it's, it's challenging. And so then you have this proliferation of models, which do you access? How are you paying for them? And I think it's been very interesting for both client side.
Agency side. And then you have the ones like the Microsoft environment that's more protected, but is it advanced? As advanced as some of the others. And it's been exciting to see, you know, you talked about coding earlier, you see Claude code and you see what the seismic impact that's making where you hear the incredible results around Gemini three, et cetera, et cetera, et cetera.
So I think this question of how do we [00:39:00] as business owners and leaders, um, and you know, you've and I've sat in similar seats, how do you figure out, position yourself to take advantage of the best data out there in the best way? And that does come back to this HN tech question. So you've been doing some great writing, you've got a newsletter on LinkedIn.
You know, I've been checking out some of your pieces and one of the things you talked about is your new agentic colleagues are here. That was one of your 2026 predictions. We've all been talking about agents and agentic AI for a while now, but it sounds like you're feeling really bullish that this is the year that we're gonna see.
Leaps forward there. And how are you thinking about that? You know, maybe dig into that a little bit more.
Aaron Kwittken: Well, uh, I think about it in a couple ways. I, I'm, I'm, I've been thinking a little bit about what makes us different when we're sitting with a client. Um, I was sitting with a very large global healthcare company not long ago, and, um, the clients are now, now have people at the table who aren't just, you know, public affairs or [00:40:00] crisis, but there, there, there are software engineers sitting now in the room and, uh, if nobody's experienced that yet, then I'd like to know how and why and what world you're living in.
But that's never happened. I'm only starting to see that happen the last year, year and a half now that I'm back in the, the game on the consulting side. Um, to me, that gives me a lot of comfort. I have no problem with them in the room. I prefer them in the room. Um, because the, 'cause the, the conversation always goes back to data.
Um, and where are you ingesting your data and how can it backstop your instinct? Um, so the what I, the, the, the asks I'm seeing and we're getting are, you know, we're big corporate, we can't move so quickly overnight because of all the restraints that you just talked about, right? Uh, we've worked inside a Microsoft environment.
We have these IT people, we, the InfoSec people, whatever. But, um, can you help us with, with the right permissioning, take all this data that we're, that's coming in and make sense of it, not in some stupid [00:41:00] PowerPoint where you have a designer, but literally build an ID graph, ingest all this data, and then give us the ability to slice and dice it, look at it different ways to help inform our comm strategy.
Um, to me that's super exciting. I think that's where consultants can be very powerful, but it does require an investment in technologists or tech partner. So if you're a smaller firm. And you don't wanna hire people who do that. You need to partner with another firm that's a technology firm and like do some sort of revenue split.
And I think that's fine. That's what I would've done if I was a smaller agency. Um, and, and the moat for us, all of us, uh, just agencies is what I call adoption velocity. It is not the technology itself because it's becoming pretty ubiquitous and pretty accessible. It's how quickly are you adopting it and deploying it?
How are you staying on it? Um, you know, there are, there's, [00:42:00] there are agents that you can put into your environment, agents that will help you with, you know, GEO or a IO, whatever you wanna call it. I call it GEO. There are agents that you can build for around threat detection that are different than media monitoring.
Um, and, uh, it's okay if you have a dependency on an outside company for that agent. That's okay. The real value is how you deploy it and integrate it into your workflow. And your spend might actually be the same as what it was before, but it's different. It's just not username and password. It's controlled in your environment and you're directing it.
So, um, I think what we're looking at is making sure it's seamless and frictionless and it truly is inside of your environment as opposed to having to have to, to log into six or seven different apps or websites to get what you need. Um, so that's what I mean by that. The second screen, everything should be there for you.
Um, and then, um, how do you deploy that [00:43:00] for a client or how do you build that for a client? Um, and I think that we need to start thinking like a little bit more like an Accenture. Uh, the agencies of the future are ones that are both service, but also we can actually build things like Accenture can build things.
You actually need to start having, uh, real engineers, software engineers on staff or through a partnership.
Anne Green: Yeah, I think you make some good points there. I mean, you talked in your predictions article that you put out recently about. What does it mean to move from an emerging technology to a fundamental infrastructure?
And I do think that, if I'm interpreting it right, is very key to what you're saying. That it becomes that. We've been talking about Steve Halsey, one of my partners has talked about he is the metaphor of corporate narrative as an operating system. You know, where, and, and I think this idea, idea of an operating system, understanding where the data's coming from, what you can do with it, what channels you're using, what the, what the audience mixes, what you're trying to do with it.
I think the other piece is also where the council and the true expertise of humans comes in on [00:44:00] top of that to interpret and share. But when you talk about fundamental infrastructure, am I interpreting that right? When I, when I hear you discussing this, this change that's happening?
Aaron Kwittken: You, you, you are hearing me.
Absolutely right. And, um, four or five years ago, I, I didn't even know what age agentic was. I didn't know that this was coming. I didn't think it was possible. Um. And we know we can threat, we can thank, uh, Anthropic or Claude or Anthropic really for it because they created the MCP protocol. They created literally the pipes that allow all these apps and everybody to kind of exchange information with each other.
It's pretty incredible. I just didn't see it coming. Um, what I, what I don't know, and it doesn't keep me up at night because it also kind of excites me, is what's that next aha moment? So we saw GEO, uh, we saw agents, we saw GEO because that has to do with discoverability. We care about how our clients show up, right?
That's part of our job and showing up right in the right places. [00:45:00] Um, we, you and I talked about this offline a little bit because I don't have an answer for it. I hate to address things. I don't have an answer for at least thoughts on
that.
Anne Green: I, I think it's fun to do that right now at this moment. So go for
Aaron Kwittken: it.
Well, let's do it. So, um, data visualization. AI data visualization that is out of our control and what that means for brands and reputation. So again, they keep coming back to Gemini. Gemini is the first, but not the only, uh, the rest are gonna follow. Where now, search queries, they're gonna start building charts and graphics and doing like these little infographics around your search query, which basically could replace a website.
Um, so will people, people aren't gonna go to websites anymore. There certainly aren't, but it doesn't mean you don't need it. 'cause this needs to be your single source of truth. And then how does that rank ahead of, or at least alongside of a Reddit or Wikipedia, which also indexes very high across LLMs.
So it's going to help, it's gonna force us all to rethink what's the value of a website? Where does design that we own, sit [00:46:00] inside the world of reputation and brand and narratives and and whatnot. And, um, how do we take control or at least participate. That conversation with these LLMs to make sure they're representing us in a way that maintains our integrity.
Right. I, I don't have an answer yet. I, I, I, I'm not sure I know yet. Um, but that is like scary. Uh, no one's talking about it. No one's really talking about it in the way that we're talking about it right now.
Anne Green: Yeah. I, I feel like it's an emerging discussion, but I'm hearing it more and tell me if you feel this is true, you hear it more on the side of sort of, um, zero click search and traffic Armageddon for publishers and what this will mean, and then how can Cloud Flare help and et cetera, et cetera, and how do we get them to pay?
And now we're seeing the announcement that chat GPT will start to include advertising or some, somewhere, I forget where the, or is it Gemini? One of them. I mean this is coming obviously [00:47:00] OpenAI 'cause they're looking for monies, looking for the business model. So, but I, I do think is sort of, um. A lot of times I feel in these conversations it feels like an existential loop or the snake is eating its tail because they need content to ingest, to continue to evolve and to just to operate in the way they do today.
The LLMs and everything that is come is cascading off of them. That content needs to be out on the web largely. There's, they've, they've pulled in all the other corpus of data that they probably can at this point. Maybe then if you have a situation where the websites are star of the journalists that write for them, et cetera, et cetera, not every journalist can support them.
So I'm, I'm going down the journalist route as one example. So, right. Not every journalist can support themselves on a substack. So does this start to degrade that web environment? Are you left with only corporate sites? I mean that the implications of this spin off in a lot of different ways and it's really interesting to contemplate, even if we [00:48:00] don't really have the crystal ball right now to know which way it's gonna go.
Aaron Kwittken: Well and, uh, you know, if, if, if. News consumption, even online is on the decline. And social and news influencers are on the rise, and most people get their information from TikTok X, Reddit, uh, YouTube is all post literate Postscript world. Um, and that's where the audience is, that's where the LMS are gonna pull from.
Not necessarily high authority news outlets, even though LLM seemed to favor journalistic content, but we don't really know if that's true. Um, it is a little bit of the wilds right now. Uh, and it reminds me back to the days of the internet when the internet was just starting and then internet was a bubble.
It burst, but it didn't go away. This is gonna burst too. This will crack, but it's not gonna go away. This is here forever. Forever.
Anne Green: And I think too, that when we, people think back to those days of the.com bubble, those who weren't sort of there plenty, plenty of us were. Forget that it's not the internet that bursts it's [00:49:00] pets.com, you know, it's, it's entities that did not have.
The business to match the speculative valuation. And there's plenty of that example here right now, but this idea of, um, what is it training on and what does that mean for, and, and, you know, I try to say to everybody too, we're getting a little philosophical here, but I invite everyone always to think about this on multiple levels.
There's the ground level, you know, your daily use, et cetera. There's that middle level, which is workflow transformation, and how are we changing business models. But the a hundred thousand foot level is what does it mean to be human? What is happening to our society? How does this net positive or net negative?
And that, that's a much bigger picture. I think actually this is a good time to bring humans back into the discussion here. I, I really appreciated in one of your pieces, there's a header, humans Powered by Machines. It's definitely my vibe. That's what I seek to see. Um, and I really do believe that we have to have a vision for the future and decide how we're gonna drive to it.
Um, not just because, oh, that'd be good [00:50:00] for us, but because we have a real. Vision and a bet we wanna make. But you talked about betting on a different future, I've gotta hear one word. Technology, ables and amplifies human expertise rather attempting to replace it. And you would talk about, you know, what is that human corpus of like knowledge and expertise and, and, and like you said, training the pipeline of younger people on how to be those orchestrators and experts and grow supported by that technology backbone and that operating system.
But, you know, what do you see as, as the path we need to take to keep the human in balance with the machine and, and have it be supported by that intelligence not taken over by it entirely?
Aaron Kwittken: I think, um, there, there's this weird, isn't it called the Javins principle? I can't remember, but this law where actually, uh, anytime you introduce a new technology, it actually helps elevate humans.
And, um, if anything in this world, I think that our time as consultants is gonna be [00:51:00] valued at a higher rate. Than ever before. Um, I think where I worry and what you touch on again, second time I don't have an answer for this, is the way we were kind of raised in this business is through mirroring good, good and bad behavior.
Like we saw everything, but, um, we, we definitely learned by doing. And sometimes we were just kind of literally per verbally thrown into the water, thrown off the deep end. And, um, I worry about the shortcuts that AI will enable for young people. And, um, some people will call that upskilling. It's not actually, uh, it's enablement and it is, um, it's, it's kind of like, you know, driving your kid to school every day when they could walk and then they don't really know what the school is when they have to, when you're not there.
Um, because, you know, they've been so, they're so co you know, so dependent. I mean, I mean, most kids don't know how to read a map because they have ways or Google maps, whereas we had. Physical maps. I used to remember going on AAA and having to like, [00:52:00] um, actually I had to call them to send me, what are those called?
Trip things, whatever. And then somebody,
Anne Green: yeah, they would do a little, they would create one for you. It was physical. You talked to them to get it done.
Aaron Kwittken: They would come in the mail and they did used this thing, a highlighter, and they literally highlighted how you would drive from Jacksonville, Florida to Buffalo, New York.
Right. And you would either pull over, you would look at it, or your person next to you would tell, tell you where to go. So, um, I I, I, I do wonder what learning is like, if is, is it, it's definitely not the same. Is it as powerful and does it give you the same level of critical thinking that scar tissue is important?
AI does not create scar tissue, um, that you need in order to be a good counselor. 'cause you don't have that expertise. Or you might have fleeting expertise, but you don't have the experience. So how do we create those experiences for people that we learned in an analog world that now has an increase and become a digital world?
I just don't know. I'm not sure.
Um, I haven't figured that out and that, that worries me. That scares me.
Anne Green: I think it's the [00:53:00] essential question, and it's coming up all the time. I just did some mentoring at my alma mater this weekend for sophomores. It's an annual program I've done for like nine years and so many questions about AI and what that entry level is gonna be and what, what does it look like to be a younger person?
And I do talk about the fact of like multiple tools. And it's not just the LLMs, it's our whole tech stack. You know, how we look at AI embedded in all the kinds of tools we use. Creative tools are a great example. Adobe Firefly, that's, that's an obvious one, right? That's supercharging creative teams. But how do you become the orchestrator of many things?
But I think one thing, and I love your idea of upskilling versus enablement. I just wrote that down 'cause it's a really good question. I think to take it one step farther. In in the, what you're wrestling with? 'cause I am too is this question of, yes, I have this vision of helping all of our generations of people be orchestrators of technology and allow those to go out, create tasks and like take workflows, et [00:54:00] cetera, et cetera.
Everything we're talking about. However, there comes a point where a human needs to look at it and say, is this good or is this garbage? Or is this somewhere in between? And does this, like for example, our agency does a lot of work in very complex industries. Agriculture is one of them. Like our creative team and our, you know, what we call market communicators, you know the, the Comm sci folks, they can look at row crops like corn and they understand whether that row is correct, how it's sewn, its stage of growing, if there's a certain kind of blight or pester disease, et cetera, et cetera.
Now, over time, AI will get better at that, but. If you, and that's just one very specific example, but there's also, you talked about crisis comms, those, those years you spent in the trenches as a younger person going through it with the more senior people in the firm and the clients and you hone your instinct and your knowledge by watching it go down.[00:55:00]
And so, you know, when we're bringing people in, I think we have to be really attentive to mentoring and a lot of storytelling and a lot of explaining so that they can then take their own discernment and look at a product that's come through an hn, took workflow and be able to judge and say, wow, this is great in these five dimensions, but these other four, they need to be adjusted more.
I mean, do you resonate with what I'm saying here, Aaron?
Aaron Kwittken: The area that's probably hallowed ground that ai, at least in the next three, four years, cannot. Place or replace is in crisis comms because there's so, there's so much variability when, when you, I just think back, you know, when you get that call from a reporter that says, you know, start with, you know, a source tells me, or I hear whatever.
AI can't tell you whether or not you're falling into a trap. And that actually if you comment, you're giving them the story. Whereas if you don't comment on the record, they might not have a story. So here's [00:56:00] kind of like the cat and mouse game. You need to play with that reporter. AI can't tell you that my experience of 30 years of having been there, done that, getting burned, having some success, that's what's gonna tell me how to do it.
And that that, that to me, uh, is a great example of experience that can't be replicated. Um, on the other hand, there are, especially let's say even in the m and a world, um, most m and a transactions are repeatable. Um, they're more similar than they're different with the exception of some content that's different that actually.
Can be, um, you know, uh, put into a little bit of an operating system, a communications operating system, uh, where, uh, a lot of it can be done for you. Um, you're still orchestrating, like you said, but there's not as much kind of back and forth unless of course you have an activist shareholder that's different, that it becomes more of a crisis m and a situation, right?
So I still think there are co we have to define as an industry, what are those places that [00:57:00] still require lobbying, networking, access, um, influence. Um, all those things I think are still very much human endeavors. Even media training and coaching. Yes, I can create a synthetic audience now. I still need to look.
Uh, I could, I still need to. Oversee and guide what that q and A is. I still need to coach that person. You know, we, early days, I partnered with a, um, and they've gotten a little bit of, uh, a little bit of, uh. Actually, I can name them, it's fine. Usually, they've gotten, um, a little bit of attention and traction in the market.
I think they partner with Weber and others. And then of course all these big agencies rebrand stuff, but they say it's theirs, you know? Um, sonar is, is not, um, really built by Burson. I know who's behind Sonar. It's all, you know, might label stuff and I have no problem saying that. Um, Uley is really cool, but it doesn't replace the need for a counselor and a senior [00:58:00] advisor to media train someone and doesn't catch everything.
Um, and it doesn't catch if you repeat it a negative necessarily. It, it's, it's, it's not, still not good at nuance and things like that. So it's an interesting starter starting point. Um, it's great for sales, but like we, you still need us, I guess is my point. I guess I'm blathering on, but you know what I mean, we're still very important.
Anne Green: Yeah, no, I agree. So this has been an amazing conversation just to put a capper on it. I love to hear. A little speed round. What's your advice for both sides of the house? First agency leaders and second, the corporate side?
Aaron Kwittken: Well, uh, I'm gonna start the second, um, on the corporate side. Um, I think you need to find a way to work outside of it, but be friends of it, because that's gonna be your biggest gating factors is to success around AI optimization.
And outside of that, lean on a really smart, uh, technology forward, technology powered [00:59:00] agency partner or firm partner who can help you with, you know, what your, you know, your discoverability issues on the web. Um, figuring out how you can, um, harden your threat intelligence capabilities and, uh, reach hard to reach audiences, not just gen pop audiences, et cetera, et cetera, et cetera.
Um, and that, that's my advice there over time. Um, you will need to probably hire your own tech person to deal with it so you can get what you actually want. Otherwise, you're going to be subject to the generic kind of AI optimization operating system that everybody else in the company uses. That's, and, and we are, we are special.
We need to be fit for purpose. We, we can't fit into just the general ai ai optimization system inside of our corporate environment. We're different. Um, on the agency side. It depends on your size and, and your, I guess your, your, um, your constitution, your, your level for, uh, your appetite for, for [01:00:00] investment.
Um, I think it's important if you can't hire people who have technology backgrounds. Um, and not, I don't mean just hiring people who are like in data and analytics and insights. Those are important people to have. And hopefully if you don't have them, you should. I mean, people who have developer type backgrounds, people who can build things, you only need really one person and then they can contract out to other firms around the world.
There's so many talented people. It's especially nice to be able to support people who are in, uh, countries that have conflict like Ukraine. They're incredible programmers there who need work. Um, they're happy to. So you need to have at least that one person. And then, um, either a partner with a tech, tech firm or ha partner contractors.
Every firm should have its own, uh, communications operating system, whatever your, your partner calls it. Um, for us, we call it Fergus. Um, and then you have to decide what is it that's most important in an operating system. Is it content generation? Is it your thought partner? [01:01:00] Uh, is it to, is it, do you want it to be more predictive?
Do you want it to be generative? It depends on your business. And where those pain points are. You can start with pain points and then work from work from there.
Anne Green: This is great, great advice. Really practical. I mean, definitely a lot of food for thought. I think we're both on the same page. That 2026 is a critical year for our industry.
It's for the whole industry, both sides of the house. But um, I am excited you talked to us today, Aaron. I love having gotten to know you over the years and I love picking your brain on this kind of stuff. So thank you for being a guest today on Building Brand Gravity. I really appreciate it.
Aaron Kwittken: Well, I appreciate you having me on, and I, I value our friendship just as, just as much.
And, uh, I can't wait to be on a panel with you again. I think we need to have our own event, our own special event.
Anne Green: I Please, hey, world, you've heard it. Ask us back. Yeah, we, we have a good, uh,
Aaron Kwittken: with good lighting F with good lighting,
Anne Green: exactly. All right. Thank you, Aaron.
Aaron Kwittken: Thanks, [01:02:00] Anne.