In this episode, Chip and Gini discuss the importance of strategic planning for 2026. As they near the end of 2025, they emphasize the need for agencies to set themselves apart and adapt to the evolving landscape, particularly through the effective use of AI.

Despite ongoing economic challenges, they highlight the potential for AI to enhance both efficiency and strategic thinking. Chip and Gini also stress the importance of refining the ideal client profile and taking calculated risks. They share their personal experiences with using AI to assist in planning and decision-making processes, pointing out both the benefits and limitations of current AI technology.

The following is a computer-generated transcript. Please listen to the audio to confirm accuracy.

Chip Griffin: Hello and welcome to another episode of the Agency Leadership Podcast. I’m Chip Griffin.

Gini Dietrich: And I’m Gini Dietrich.

Chip Griffin: And Gini, I’m, I’m flipping through the calendar here, you know, ’cause I still have a paper calendar. Of course. I mean, who doesn’t?

Gini Dietrich: Of course. Right.

Chip Griffin: And it looks like we’re almost to the end of 2025.

Gini Dietrich: We, we are. Which is crazy. Crazy.

Chip Griffin: Which, which means that 2026 is right around the corner.

Gini Dietrich: Yes. Yes it is.

Chip Griffin: And what do we usually do near the end of each year?

Gini Dietrich: We plan for the following next year. Yeah.

Chip Griffin: And, and we have an episode talking about that. So when we have no other good ideas to bring to the table, we turn to the trusted proven stuff from the past

Gini Dietrich: 2026.

I mean, we could talk about 2026 trends. We could talk about 2026 AI things, but I think planning for our business growth is good.

Chip Griffin: Yeah. That all goes into planning, right? So, I, and, you know, I, I’m, as long as we don’t do predictions, I’m fine. I hate predictions.

Gini Dietrich: Oh, shoot. Let’s do predictions next week then.

Chip Griffin: No, no, no predictions. No, that’s, that drives me up a wall.

Gini Dietrich: Note to self. Note to self.

Chip Griffin: And I, and I know we are just, you know, probably days away from the flood of

Gini Dietrich: Yep.

Chip Griffin: Articles and Yep. And podcast episodes and videos with everybody making their predictions for the year ahead. Yep. Just stop it.

Gini Dietrich: Yep.

Chip Griffin: So my prediction is we will see lots of predictions.

Gini Dietrich: That is a good prediction. I think you’re probably going to be right.

Chip Griffin: It seems pretty likely.

Gini Dietrich: I’d bet on it in fact. Yeah.

Chip Griffin: Yeah. Mm-hmm. Alright, so as we start thinking about 2026 planning, let’s look at it for through the, the lens of, of what, what we might do differently in thinking about 2026 than we typically do.

Right? Because we, there’s plenty in our archive where people can go back and listen to us generally talk about planning. I’m sure we’ll touch on some of that in the next 20 minutes. I don’t wanna disappoint listeners. We, we will, you know, reach back to the things that we’ve talked about before, but I think it’s helpful to, to think about, you know, what’s, what’s different about 2026, and I think you’ve already hinted at one of the key things.

Gini Dietrich: Oh, AI for sure. Yeah. I saw a really interesting post on LinkedIn from Parry Headrick who was talking about how he used to work for Shift and he was the VP of the San Francisco office, I think, and he said, you know, this was during the recession and I was… Anybody who was in business during the recession knows all of your business went away.

It was not a fun time to be in business at all. And he talked about how he went to the office every single day for months on end, and he made cold calls to tech firms and he, he would say, we can do like a PR plan for you, a PR 101 like, and he said one out of every 100 calls accepted the offer. And then they went all out and created a really strategic, as much as it could be, plan for these companies.

And gave it to them for free so that they had, they could generate some business. And he said that that was one of the things that kept the office going during that time and how miserable it was. Like he talked about it was boiling the frog, like it was miserable and it was not enjoyable. It’s not why he was doing that job, but they had to keep the office open.

And I think that, I read that and I thought, you know, that’s really interesting as we think about 2026 because the last couple of years for agencies have been miserable. We have been slowly boiling the frog for sure. And you know, I have a lot of friends who have laid people off, some have gone out of business, some haven’t gone outta business, but don’t have any clients.

Like, it has been rough. And I’m not sure that 26 is going to be much better. So I think one of the things that I will be advising people is, and, and for us too, is really think about how you can set yourself apart and get in front of prospects now and in January so that you can be doing the things that will help you scale and grow and be sustainable for the future.

And some of it’s not gonna be fun. It’s not.

Chip Griffin: Well, you’ve, uh, certainly taken this on a depressing turn here.

Gini Dietrich: I mean, we can talk about AI too, but

Chip Griffin: I mean No, I mean, we can, we can talk about how miserable and awful things are for everybody. Uh, that’s,

Gini Dietrich: it’s been rough. It’s not like it hasn’t been rainbows and unicorns.

It hasn’t.

Chip Griffin: No, it, it has, it has not been rainbows and unicorns. But I, but I would also, I would, I would push back a bit. I, I don’t think we’re as bad as ’08 or ’09, or back in the early two thousands. I don’t think it’s, it is not as widespread as it was back then.

I’m certainly in the agencies that I’m talking with, seeing a lot of agencies that are struggling, most, not catastrophically, most just kind of, you know, sort of malaise is, is the word I would use. Yeah. It’s good for it. And there are still some that are actually doing quite well and, and even growing. So that, to me, that is a little bit different than what we’ve seen in, you know, in  08 or ’09, or during the pandemic. Certainly.

You know, where it was pretty much… I guess even in the pandemic, we had pockets, right? The, the digital firms did well because everybody had to transition from doing things in person to doing things electronically. But it, it’s just… so, I, I think we’re in that general period of malaise, you know, sort of in, in my mind, I’m old enough, I, I think Jimmy Carter, right?

You know, you just sort of think, ehhh, you know, and, and how America of the late ’70’s was. And so there’s some of that, at least within the economy and, and certainly in, in the agency space. So I think that that part of the, the challenge here is that it is not as simple an explanation as to how you get out of it.

Right. I mean, back in ’08, ’09, it’s like, okay, well the economy just has to come forward. And in this case, part of it’s the economy, but part of it is the, the shifting nature of the relationships between agencies and brands, and other organizations. And so I, I, I think that one of the reasons why some agencies are struggling is because they’re not taking a fresh look.

At what they do, how they fit into that picture. And I think there needs to be a lot more creative thinking. And I think AI is a big driver of it, not necessarily in the, in the way that people think, though I don’t, I don’t see AI as taking away agency work. Mm-hmm. I see it as agencies just haven’t figured out how to capitalize on it effectively.

And, I think that there is tremendous opportunity for those agencies who are willing to adapt their service offerings with and without AI. And moving forward in a way where they’ll leave behind a lot of of other agencies that are more committed to just plodding forward and doing the same old, same old, and, you know, sprinkling in a little bit of AI here and there.

Gini Dietrich: I read a really interesting article a couple of weeks ago and I’ll see if I can find it so Jen can include it in the show notes. I’m sure it’s in my history somewhere, but it talked about how, you know, we’ve seen all of these layoffs at all these large companies in the last couple of months, you know, thousands and thousands of people.

And they’re telling, most of these companies are telling the teams that remain. There are two things that you need to focus on: upskilling. So, you know, using AI to help improve you, you know, understanding your own professional development, taking charge of new professional development, new skills. And the other piece is really using AI to help improve your, the work that you’re doing to make you more productive.

And it went on to say. If you’re an agency that can help with one of those two things, or both of those things, you’re gonna be in better shape than an agency who does new media news releases and news conferences, and you know, social media. So if you can think about how you can provide professional development or help an organization implement AI from a marketing and communications perspective, you’re gonna be a lot further ahead than those that can’t do that.

So I think that goes back to really thinking about how to freshen the services that you provide in a way that keeps up with what’s happening in the world.

Chip Griffin: Yeah. I mean, look, I think that’s absolutely a piece of it, but I think a piece of it is also figuring out, you know, how can you use AI to help you do different things that are not necessarily even explicitly AI related.

Or made more efficient by AI or it, I, I think it’s just a, it’s a opportunity to take a very fresh look at how we do everything. And, and I think we need to be careful, not just us as agencies, but also on the brand side. We need to be careful about how much we believe AI itself is changing things or can change things.

And, and I, I saw in the last couple of days, a video that our friend Chris Penn put out, where he talked about how you need to change your vocabulary to get the most out of the various generative AI platforms. And I don’t disagree with what he’s saying. You do need to adapt your language to those models so that you get the results you want.

But, but the flip side of that is, to me, that says AI has not come nearly as far as we think because we shouldn’t have to change for AI to be responsive to us. Right. Right. True AI would be adapting to us instead. And, and so we’re not quite there yet. And, and the progress has been absolutely amazing. I’ve, every time I try out the latest version of a model, I find new things that it can do and continue to get more and more impressed.

But I also have ongoing frustrations with them. In part because of this vocabulary issue, but in part because, you know, we’re still, we’re still overestimating what the, the technology can do for us today as far as allowing us to, to replace work hours, et cetera. And so I see many brands laying off marketing and communications people thinking, well, we’ll have fewer people, but AI will help them do the same amount.

Nope. And AI certainly makes you more efficient, but not, not that efficient.

Gini Dietrich: Not that efficient. No. And you still need somebody with a brain to prompt it and ensure that it’s not hallucinating and ensure that it’s the right information. And that it’s been edited. Like you still need humans for those things.

Does it help you get a start? For sure. But you still need the human beings to do the work. And make sure that it’s accurate because what it pumps out on first try, I mean, my favorite response is meh. I just write MEH meh, and it goes, okay, lemme try again. And then I write, meh. It tries again.

Finally. I’m like, okay, that’s halfway decent.

Chip Griffin: Well, that, that’s better. My habit is to actually get into arguments with it, which… Really serves no good purpose, but I just, I get, I get, I get frustrated when I explicitly ask it to do something and it doesn’t,

Gini Dietrich: it doesn’t, right.

Chip Griffin: And I’ll be like, well, why didn’t you do what?

Yeah. Oh no, you’re right. I should have done that. Yes, because I specifically for it, right? Like, please help me,

Gini Dietrich: please write a thousand words and it gives you 300. And you’re like, Hmm, right. Just do what thousand words.

Chip Griffin: Just do what I ask, you know? Or, you know, please make the logo smaller in this image.

And it doesn’t change it. No, don’t do that to me, that’s just, it’s very frustrating.

Gini Dietrich: It’s very frustrating. I agree.

Chip Griffin: But I think, you know, we need to be thinking how we can leverage some of these tools to help us adapt our service offerings. And I was, I was talking with someone recently who, they had shifted a, a process from humans to AI recently.

And they were running into issues because it was some data analysis that was being done and, and it turned out that the numbers were wildly different between the humans and the AI. And so the first instinct was that the AI was wrong. But in fact, upon further review, it turned out that the AI was too good.

And it was being in incredibly consistent in the way that it was doing the task. Ah, whereas humans. Sure. Inevitably we get distracted, we make a mistake, we, we hit the wrong key. You know, I mean, there’s all sorts of things that can lead to this, but because the AI was more consistent and the volume of data and such being analyzed by the humans and the AI was substantial, it, it made a real difference because the AI was actually better.

And so, but to me that’s an opportunity. You’ve got a short term problem that you gotta deal with that, you know, you’ve been generating these historical reports that don’t look quite right now. But there’s a real opportunity there because you can actually improve the quality of what you’re doing, along with the quantity, along with reducing the, the labor hours involved and that sort of thing.

So we need to be looking at, at how we can take that and take it to the next level, not just how can we use AI to do first drafts so that we only have to edit and so therefore we save, you know, 30% of our time or something like that. There’s, we have to be thinking much, much more creatively if we’re gonna be successful going forward.

Gini Dietrich: Yeah, and I mean, I’m sure I’ve shared this before, but some of the work that we’ve done in my business this year, I’m not sure we could have done it without AI in the, in two years ago, like some of the work that clients have asked us to do. I’m not sure that we would’ve been capable of doing it without AI.

So it, it does have the ability to make you more efficient for sure, but it also helps you think more strategically. And to your point, like, bringing in the, the consistency piece of it so that, you know, maybe the, the way that you reported on results in the past isn’t fully accurate, but now it’s more accurate.

Like those kinds of things I think it has helped immensely with, and you know, I can think of at least three situations where I’ve been in a meeting with like big, big, big, big executives and they’ve thrown something out. Do you think your team can do this? And I’ve gone, sure. And then we come back and, you know, as a team, work on it and, and prompt AI.

And it’s helped us get to where we need to be. And I don’t think we could have done that on our own two years ago. For sure.

Chip Griffin: So, you know, we’ve been talking a bunch about how AI is impacting our businesses, but let’s talk a minute about how AI impacts the planning process itself. And so, you know, my question to you would be, as you’re doing your own 2026 planning with your team, are you using AI to facilitate that process at all?

Gini Dietrich: Some of it, I would say I have a co CEO, GPT that I built. So it sits as my Co CEO and sometimes I just vent to it. It makes me feel better, but sometimes it will say things like it will point out things that I didn’t think of. And so, you know, when we, especially right now, ’cause we’re working on cash flow projections for next year with our CFO and I’ve, I’ve put in like…

Not actual numbers, but percentages to, and said like, can you help me figure out if these are our goals, what we’re going need to do? What software do we need? What team members are we gonna have to add? Like that kind of stuff. And it help, it’s helping me and our CFO think through all of those different scenarios for sure.

We haven’t gotten into like the nitty gritty planning yet because our 2025 plan is rolling over into Q1 a little bit. So we’re, we’re about a quarter behind from that perspective. But, from a cashflow perspective, it’s helping a ton and it’s helped me see things that I wouldn’t have seen on my own.

Chip Griffin: Yeah. And and I think that’s a, that’s a real benefit that we ought to be looking at when we’re doing the planning process is using AI, not necessarily to give us all the answers, but to help us understand what else we should be looking at. So I love using AI to, to, to give it a list of questions that I may have about something and say, what, what other questions should I be asking?

What other data points should I be looking at? Or putting in some raw data and saying, okay, you know, what are the gaps here? What, what should I be looking to… What additional data should I be looking for? Or how can I analyze this in a different way? So I think in the planning process, there’s a lot of ways that we can use the AI to help us.

I think we just need to be careful about using it to give us the answers and instead help it to guide the conversations for sure. Yeah. That we’re having with our teams and with our clients, because it will inevitably help us find things that we are overlooking. And maybe we would still get to it halfway through the brainstorming session or the, the strategy meeting or whatever.

But if we know it in advance, you know, it helps us prepare better.

Gini Dietrich: Yeah, absolutely. And I, I do think, you know, to your point about the, the data and it being consistent, I think it does look at things more holistically and how, and I mean, it will say to me, have you thought about this or have you thought about that?

Or, you know. Here’s an opportunity for you. Like with the PESO model certification in universities, we had an idea of how we were going to approach it in ’26 ’cause the certification is being completely revamped because of AI. And it actually gave me a couple of ideas that I was like… Huh, I hadn’t even thought about that.

So like providing curriculum and grading rubric and things like that, that helps professors that I hadn’t even, ’cause I just don’t have that kind of experience. Right. But it helps me think through some of those kinds of things. So I think you’re right. And you know, I love the idea of, of a list of questions and asking what you haven’t thought of.

I’ll put in and say, you know, we’re looking to do this, this, and this, and here’s what we’re thinking. What are we missing? And it, you know, it does come back with some ideas. Sometimes it comes back with things you’ve thought about and you’ve dismissed, and sometimes it comes back with things that you’re like, Hmm, okay, let’s, let’s explore that.

Chip Griffin: Yeah, and I mean it, there’s, it’s not a replacement for human judgment. You still need to look at it and say, oh, yeah, that does make sense, that it’s something we look at. But, but my experience is more often than not, it does come up with things that, you know, that given the right amount of time I would have thought of, but Sure.

You know, it, it’s, it’s, it’s good to have it reinforced that, it’s good to have it, you know, bubble it up higher on my list so that, again, I, I’m not finding it out, you know, halfway through the meeting when the light bulb goes off and it’s like, oh, right, I forgot about this. We should be, we should be looking at that.

Right. You know, but I, I think this is the, the planning process is, is an opportunity for you as well to be thinking about challenging your own assumptions. And, and I do think more than ever continuing forward on the path that you’re on for the vast majority of agencies is not a good idea.

I think most agencies require at least some modest course correction and some more than that. And so I think that we’ve already talked about, you know, what kind of services you can deliver and those kinds of things. But I think the other thing we all ought to be looking at in 2026 is the definition of our ideal client.

Because, because we do need to understand better how our clients of today are being impacted by the economy, by AI, by all of the social change that’s going on. And understanding how is that impacting who we’re targeting, how we’re targeting them, what kinds of engagements we’re, we’re trying to set up with.

And so I, I think really refining that ideal client profile is something that most of us ought to be taking a very close look at for 2026 in our planning process.

Gini Dietrich: One hundred percent. I could not agree more. And you know, I’m a big, big, big fan of really understanding at a macro level what’s going on so that we know how it affects our businesses.

And I think that the more that you can do that and understand how everything that’s going on in the world is going to affect your agency and you know, the sustainability and stability of it, I think are, is really, really important. And being willing to try some things and take some risks and see what works and see what doesn’t work, and then go move on to what works and try again.

Chip Griffin: Right. And, and you need to, to look at the data that you’ve got in front of you, not data from three to five years ago, right? But, but data from 2025. And so whether you’ve had a great 2025, a mediocre 2025, or an awful 2025, look at what the data is telling you. And look at where you’ve had success. Success in terms of where you’ve had the best results for clients, which we often overlook.

We, we often look at just, you know, what we’ve been able to sell, but you need to see what is producing results for clients. You do need to understand what you’re selling, where those leads came from, and, and look at those recent trends and lean into what’s working. And again, that doesn’t matter whether you’ve had a good year or a bad year.

You still wanna lean into what you know is working today because it is a, a very different environment than it was 3 years ago, 10 years ago, and and beyond. So you need to be relying on that kind of analysis if you wanna make smarter decisions in your planning process.

Gini Dietrich: Yeah, absolutely. And I think you’re right, like this is different than 2008, 2009, and 2020.

It’s, it’s different. So be willing to take some risk. It’s uncomfortable for sure.

Chip Griffin: You and I both love risk, so we’re always gonna preach risk. Calculated risk, not just reckless risk.

Gini Dietrich: Calculated risk.Yeah. Yeah, yeah, yeah. Yes. Please be calculated.

Chip Griffin: Yes, have a reason for what you’re doing, and have a reason to believe that there’s a decent chance of success.

Don’t just blindly walk out there and say, Hey, let’s try crossing the street now without looking and see what happens. That’s not the kind of risk we want you to take.

Gini Dietrich: Please don’t do that. Please do not do that. Please, please do not do that.

Chip Griffin: So with that, if you’re, if you’re listening and you’re driving or something, still pay attention ’cause we’re gonna wrap up now.

Keep your eyes open. Keep your eyes open. If you, if you wanna listen to this again, wait. You, you can go back to the link. There’s resources that’ll be there. There’s the transcript there, all those things. So stay safe. Yes, yes. However you’re listening to us. And with that, that will draw to an end this episode of the Agency Leadership Podcast.

I’m Chip Griffin.

Gini Dietrich: I’m Gini Dietrich.

Chip Griffin: And it depends.