Susan Pendergrass speaks with Josh Bandoch, author of “How to Get What You Want: Mastering the Art and Science of Persuasion,” about why leading with data and logic is often the wrong approach to changing minds. Drawing on more than a decade of research across psychology, neuroscience, economics, and political science, and experience writing speeches for senior government officials and advising executives, Bandoch explains how the human brain feels before it reasons, why persuasion is about shared action rather than winning, and what policy advocates get wrong when trying to move legislators. They also discuss the Granny Test, how to frame arguments around your audience’s moral values, the role of storytelling, and more.

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 Episode Transcript

Susan Pendergrass (00:00): So excited today to talk to Josh Bandoch, author of the soon to be out — or maybe by the time this airs, out — book “How to Get What You Want: Mastering the Art and Science of Persuasion.” I want to say it correctly, which is awesome. I was thinking about this topic — we were talking about this a little bit before we started recording — because we’re both right in the middle of legislative sessions. And in addition to being an author, you work in the policy advocacy space. Is this book meant to sort of address that space, or is it for a more general audience? Because we all want to get what we want, right?

Josh Bandoch (00:37): Absolutely. The book is written for a general audience. It will help folks in the policy space, but also in business, sales, or marketing. The goal of the book is to help people get what they want through persuasion. And for me, persuasion is the difference between having a good idea — whether it’s a good policy idea or a good product idea — and having others embrace that idea.

Susan Pendergrass (01:02): Yeah, I think that’s so important because oftentimes — well, speaking for myself — I come up with policy ideas that I think are great ideas, but I come from data, evidence, research. Let me write a 20-page paper on it and do a statistical model to convince you. And I think that based on what I’ve read in your book, you would say that might not be my strongest approach.

Josh Bandoch (01:24): Well, those things are necessary. Data is necessary, and folks who work at think tanks are paid to do research. I work at a think tank — the Platte Institute — and that is what we’re paid to do. But when I think about persuasion, I start by trying to understand the contours of how the human brain actually operates.

The challenging reality for a lot of folks in the think tank space who are paid to think — maybe you’re a consultant or whatever — is that since we’re paid to think, we think that means logic, data, and reasoning are the way to get what we want. The most challenging reality I’ve encountered is that this is how the human brain is wired — not just my brain or your brain, Susan, but all 8 billion of us on this planet. We feel first, then reason. Sometimes it’s feel, and we never even get to the reasoning. We’ve all been there. That means persuasion actually starts with feelings.

I know the folks in your audience who love the work you do — and you guys do great work — and love the research are going to say, no, that can’t be true. Well, it’s what all the neuroscience says. So it actually means that the logic-first approach to persuasion, whether in policy and think tank land or in sales or anything, is actually illogical — because that’s not how the brain works. The brain works feel first, then reason. We do reason. It’s just that we have to start with feelings.

Susan Pendergrass (03:06): So give me an example. We’ve been working for several years on a policy in Missouri that would allow parents to choose where their kids go to public school — just public school, open enrollment. And we get so much pushback from legislators and others who say this is going to lead to basically the destruction of the public education system. That’s their feeling. And I can provide a lot of evidence from other states that have done it for decades — even our neighbors in Kansas, not so much Illinois — and say it hasn’t happened, but they still believe it. I feel like I can’t put the words in the right order to make them understand what I’m trying to do. So what do I need to do differently?

Josh Bandoch (03:47): Yeah, so there are two parts here. First, you just observe what somebody’s feeling. Because if somebody’s feeling great and they’re inclined to do what you want to do, it’s easy, right? In this case — this is a perfect example — they have negative feelings towards the policy you want to advance. So the first thing you have to do is observe, understand, and address those feelings directly. When you’re in these conversations, what is an example of a raw, visceral negative feeling that somebody expresses?

Susan Pendergrass (04:19): They’ll say in our small rural communities, the high school is the center of it — it’s the heart and soul of the community. And if we let kids out — even though it’s the heart and soul — they’ll all want to leave. And if that happens, not only will the school close, but that will kill the community. That’s what they believe. It’s not reality, but I struggle when I go to testify at a legislative hearing to not sound like I’m just putting facts in front of them and ignoring what they feel. I don’t know how to counter that with reassurance and say, that’s just not true.

Josh Bandoch (05:09): So let me briefly walk you through the process so your audience can follow along. Start with feelings — and what you have to do is generate persuasive feelings. What feelings are persuasive? Ultimately, I think it’s positive feelings. Every time I ask an audience who the most persuasive people they can think of are, a couple of people come to mind: Ronald Reagan, Martin Luther King Jr., JFK. They generated positive feelings. And you do that especially by appealing to your audience’s moral values, which in this case might be different from yours. And then the most effective way to wrap it all up is a story.

So how do you start this process? When you’re talking to folks in the community, or to lawmakers, or to local elected officials who you’d like to see change their stance, start by asking them how they feel. It just unlocks a totally different pathway in the brain.

Susan Pendergrass (06:05): But when you’re saying this — and when I was looking through your book — I was wondering: in today’s political environment, I feel like persuasion is being used a lot less, and people are just making statements and not really defending them, just saying that’s the fact because I said it. Especially with how vitriolic our politics has become in the last decade since you started this research, do you think there’s still a good solid place for the art of persuasion? Or are we just going to stand with our arms crossed and agree to disagree?

Josh Bandoch (06:35): So at one level, the answer is absolutely yes, because humans haven’t evolved radically over the last 10 years. Everything in the book is backed by a tremendous amount of research, largely based on how the human brain works, and then lots of practice. At another level, we do have real reason to be concerned, which is what you just pointed to — is persuasion still possible in today’s political environment?

Look, there are only two paths forward. One is that we continue to relish in all the negativity, toxicity, and polarization, or we step back from it. I don’t think, aside from a couple of folks who spend their lives on X, that anybody is really going to say our politics are healthy. So it’s incumbent on us to have better methods to walk back from that, as opposed to just running down that toxic lane even further.

Susan Pendergrass (07:41): So in addition to what happens in state and federal legislative bodies, where I spend a lot of my brain power, how does somebody take the principles of your book and apply them in their personal life? Is this about manifesting goals, or how do they apply those same principles?

Josh Bandoch (08:00): Well, maybe I can sketch out briefly what some of the principles are so we can talk about them. The first step for persuasion — well, I guess two things. One is understanding what persuasion actually is, and I think even this is a mindset issue. We oftentimes think persuasion is about winning. And Susan, if I win against you, what does that make you?

Susan Pendergrass (08:17): A loser.

Josh Bandoch (08:18): That’s terrible, right? You’re a loser and you don’t want to work with me. So persuasion isn’t about winning. It’s not just about launching your logic at people — we’ve discussed that already. It’s not simply about convincing somebody. The Latin root of the word “convince” means to vanquish or to conquer, and conquest is barbaric. So what is persuasion? It’s about shared action — something we voluntarily do with others. That’s the shared part, and it’s action — it’s about getting things done. That’s already a much different understanding of persuasion.

When you bring that approach to your personal and professional endeavors, it’s different because you’re really trying to work with people and figure out how to move forward together. The first step of persuasion for me is adopting what I call the persuader’s mindset — it’s about them, not you. That’s why when we talked about school choice in the community, it’s like, okay, what are their concerns? Take their concerns seriously. That applies in your personal life too — maybe you’re having a debate at home with your spouse or a friend or a child. You have to understand who they are and what they care about, and to the extent possible, proceed on their grounds, because they’re much more comfortable there. This applies to any situation you’re in, no matter what it is.

Susan Pendergrass (09:32): That’s awesome. And you mentioned professionally — sales. I feel like there are a lot of books on how to sell. How does your book differentiate from what’s come before?

Josh Bandoch (09:47): Well, a lot of folks — keeping it in the policy space — are trying to corner people into saying yes to something they otherwise wouldn’t say yes to. What I’m really trying to understand is what would motivate and excite somebody to work with me on something. And that requires generating the positive feelings I talked about, appealing to their morals, telling great stories, and some of the other things I get into in the book. But those are some of the big ones. And it all has to happen simply.

Susan Pendergrass (10:31): In a simple way, right? I’m not going to hold this against you, but I am a grandmother. And I did see the Granny Principle in the book — so explain what that is, because I want to remind myself of this principle a lot. I have a PhD in public policy. I’ve put a lot of years into studying what’s good and bad public policy. And every single year in the halls of Jefferson City, I just see bad public policy happen in the hallway. They’ll say, well, we’ll just give that part up and add this part. And I’m like, no, no, no — you basically just blew up the quality of what you were trying to do. And I see that if I’m coming from up here and things are happening on a completely different level, I’m spinning my wheels. I’m not furthering my goals of getting good public policy passed — which I believe, no matter who’s in the governor’s mansion or the White House, good policy is good policy. And I struggle to make it happen in Missouri. I think the Granny Principle could be part of my problem, so would you please explain what that is?

Josh Bandoch (11:32): Totally. The last chapter of the book — in some ways the least exciting but the most important — is called “Ace the Granny Test.” And what’s the Granny Test? Would your granny understand what you’re saying? You assume granny is a smart lady who is not an expert in any particular thing. So you have to explain things with clarity, simplicity, and precision.

One of the troubles we encounter in think tank land is that we love to dump tons of data and logic and reasoning and examples on people, and it’s overwhelming. We also encounter the curse of knowledge — we know so much that we kind of assume our audience does too. And we oftentimes think, well, they just don’t understand me, that’s their fault and their problem. No, no, no, no. It’s your fault and your problem, because they don’t understand you and they just move on with life.

When you talk to an elected official, you have about 60 seconds to capture their attention. Maximum. So if you’re not crystal clear and simple in how you explain things, they say in that typical apologetic way, well, thank you so much, I’ll take that into account — and then they move on. Clarity and simplicity are premium virtues in communications, and they require a lot of hard work to achieve. Can you distill your 30-page white paper into 30 seconds?

Susan Pendergrass (13:01): Yeah. I’m trying to do cards now — the most simple four-by-six with colors. And in their defense, I’m not coming down hard on legislators — they’re not specialists, they’re generalists. It might be education committee and transportation committee and appropriations, whatever. They have to know a lot of different areas, and even though Missouri and Illinois have long sessions — like five or six months a year — they have other lives much of the time. It is hard for them to grasp things in a short amount of time. I’ve had some back and forth with my colleagues who say we should still write high-level academic papers. I’m like, I’m doing four-by-six cards now. I’m sure there’s a middle ground there, but it’s hard to find.

Josh Bandoch (13:59): Well, the four-by-six is a great place to start. What’s your thesis? What are you trying to say? Can you get that into one sentence? Do you have a couple of key points you’d like to make? But then how do you turn that into something compelling? I would say you do at least one of two things. Ideally, you would have a story. If you’ve got 30 seconds to pitch school choice, you might start by saying, let me tell you a story about little Bobby or little Sally — this is what it meant to him, he was here and now he’s here — and you condense that story. Or you make a moral claim that’s going to grab their attention. People’s morals differ based on, roughly speaking, their politics, but you have to make a moral claim that’s going to resonate with them.

So if you’re talking to somebody on the left, their morals are sensitive to claims over equity. If you were talking to somebody in an urban school district and you wanted to get them to support school choice, and let’s say they’re on the left, you might say, look, our school system is deeply inequitable and we need to fix it. And they’re like, huh, yeah, it is — tell me more. You’ve got to figure out what you want to say, but then make sure you’re framing it in a way that is compelling for your audience.

Susan Pendergrass (15:15): So if folks want to find your book and learn how to get what they want, when and where will it be available?

Josh Bandoch (15:22): It’s available April 21st, and it’s available anywhere you can buy books — Amazon, Barnes & Noble.

Susan Pendergrass (15:24): And you said you spent 10 years researching this — tell me about it.

Josh Bandoch (15:33): Yeah, a combination of research and practice. Ten years of on-and-off reading as much as possible — psychology, neuroscience, primarily.

Susan Pendergrass (15:41): Yeah, that’s fascinating. It is — surprisingly, for what I do full time — an easy part to forget. I’ve always felt like if I just lay out facts and fair arguments, the rest will take care of itself.

Josh Bandoch (15:58): Well, those things are necessary, but they’re not sufficient. They’re necessary because our job, working at think tanks, is to make sure the foundation is strong. We have a policy recommendation, and we have to make sure we have really good reasons to think it’s going to be effective — that it’s been tested elsewhere, or all the data indicates this is probably going to work. That’s necessary. It’s not sufficient. The persuasion layer on top of that is what takes your good idea to a good idea somebody else wants to embrace.

Susan Pendergrass (16:30): Yeah, I think it’s great. Like you said, it’s helpful in so many parts of your life. It comes right up to the very edge of manipulation, but pulls back a little bit. It is helpful for getting what you want — whether you’re buying a car or agreeing with your spouse on the paint color for the wall. It’s a really smart approach.

Well, thank you so much for joining us today on the podcast and telling us all about it. It’s fascinating stuff and I really appreciate you taking the time. Thanks, Josh.

Josh Bandoch (16:58): It’s a pleasure, thank you so much.

Produced by Show-Me Opportunity

The post How to Think About Persuasion in Public Policy with Josh Bandoch appeared first on Show-Me Institute.

Susan Pendergrass speaks with Todd Davidson, Vice President of Programs at the State Policy Network, about how artificial intelligence is reshaping the think tank world. They explore what AI is good at and where it falls short, how organizations like the Show-Me Institute can use it to become more productive without losing their edge, why face-to-face relationships will only become more valuable as AI-generated content floods the internet, how a Hawaii think tank used an AI agent to help fire victims submit legislative testimony, what good policy looks like in an AI-driven energy landscape, and more.

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Episode Transcript

Susan Pendergrass (00:00) Great, well, thanks so much for joining us this morning. Todd Davidson of the State Policy Network, to talk about the topic du jour: artificial intelligence. Thanks so much for coming on to talk about it. I’m afraid to even say anything out loud about AI because by next week it’ll be…

Todd Davidson (00:11) Yeah, happy to be here. Thanks for having me.

Susan Pendergrass (00:18) Nothing really ages — it changes so fast. But I did just read that Mark Zuckerberg has an AI agent who is performing his CEO duties for him. Did you see that? Why not, right?

Todd Davidson (00:28) I saw that, yeah. And then he can just kick back, go down to his Hawaii bunker and just let Facebook run itself.

Susan Pendergrass (00:37) Yeah, I mean, I still haven’t really dabbled in agentic AI, but I know it’s right there and I’m going to want to do it soon. We’re going to talk about AI in the think tank world, but I have to check legislation and hearings and see how those things are going every day. I can well imagine an AI agent doing that for me.

Todd Davidson (01:01) Yeah, if it’s properly trained. So ShowMe Institute, to give the audience broader context, is a member of State Policy Network, and we have sister organizations like ShowMe in states across the country. The Libertas Institute, which is based out of Utah, did exactly what you’re talking about. Connor Boyack, the CEO, built a legislative tracking system that then feeds into their scorecard where they keep track of legislation. He said it took him about eight hours of work to code the agentic AI, but now it does the work automatically. Of course it needs fine-tuning and always has a final human observer that verifies everything, but it’s being used for those purposes right now across the country.

Susan Pendergrass (01:59) So we’re in the think tank world, and it’s probably more of an art than a science at the state level. Tracking the policies — first of all, thinking about the policies that we think would be best for Missouri, then doing a bunch of research on those policies, then creating content on those policies, then trying to talk to legislators and hope that they see our point of view, and that they enact actual laws that reflect those policies. That’s a really labor-intensive job. Which parts of that could you see being picked up by AI?

Todd Davidson (02:33) I’m by no means an expert on AI, but I work with someone who is. What has been explained to me is that AI is very good at synthesizing information. It’s very good at predicting — it essentially predicts the next word. It takes all these inputs and predicts the next set of words, which comes out to us as sentences. So if you are able to give it certain inputs — say, I want you to look at these bills, I want you to look at these things — and give it a sort of walled garden, it can then be prompted to produce any type of analysis that you want. The reason you want that walled garden is because AI can still hallucinate. It can make stuff up. Actually, this just went viral last week: a lawyer down in Georgia went before the Georgia Supreme Court and had AI produce her entire argument. It cited five fictitious cases, and the judges called that out. So you have to give it constraints and say, here are the data inputs, now summarize this for me. And it can get you a pretty solid first draft of that summary. Of course, you’re still going to need a human to go through and edit it and add voice and texture to it. But summarizing that data, saying tell me which of these align with our principles or does not align with our principles — it would be very good at that kind of thing. What it’s not going to be able to do is the creative part. When you think about what is the policy that we want to design for Missouri, what does Missouri need — it’s not at the stage where it could do that. That’s where you would still want Show-Me Institute experts to be crafting those kinds of things. But if something’s already out there and existing, you can summarize it and score it based on criteria pretty easily.

Susan Pendergrass (04:35) So given how quickly firms are moving towards AI — and in fact mandating AI because it’s such a time saver and productivity increase — how does a think tank position itself in that world? There’s so much talk about AI just replacing all of our jobs. Maybe it does replace my job — I don’t know. I’ve heard podcasts generated by AI in my voice, so it could be doing this job right now. I would like to think it wouldn’t be as great, but how does a think tank position itself? What’s our value add in that scenario?

Todd Davidson (05:12) Start by going back to what your mission and objective is. ShowMe Institute — and by the way, I am a resident of Missouri and a big fan of the Show-Me Institute, both from my SPN perspective and from my Missouri resident perspective — we have principles: free markets, a robust civil society, a thriving economy. We want the feds to get out of the way in a lot of cases. We want the government to get out of the way. And then how we execute that mission is through policy change, mostly at the state level, though I know you also work at the local level. So state and local policy change is the objective. How do we go about that? We produce research and then we advocate — in some cases talking directly to policymakers, communicating out to the public through op-eds and things so that the public then talks to lawmakers. And ultimately we get policies passed that lower the income tax, reduce barriers to work, and provide more options for kids in schools. So what AI is going to do is make research and content much easier to produce. By research, again, I mean that summarization kind of research — it’s going to make that kind of stuff extremely easy for folks to produce. Everybody’s going to have a research assistant. What AI cannot do is personal relationships. It will never be able to do that. What it also cannot do is tour the entire state of Missouri, know all of the history and relationships and connections of people throughout the state. So I believe Show-Me Institute and all of the affiliates across the country that are state and local based are going to have an advantage because you’re in your community. You know people, you know policymakers, you know community leaders, you know people that are affected by your policies. And that’s something AI is not going to be able to do. AI can look at the statistics and arguments and academic literature, and it could put together a brief, and that could be useful. It would make your job more efficient — you’d be able to produce those things in a fraction of the time you do right now. But then with that extra time, I would use it to go out and build stronger relationships in the communities, and then use those relationships towards policy change.

Susan Pendergrass (07:51) What about grassroots? More grassroots-type stuff?

Todd Davidson (07:55) Grassroots very much. AI is going to have an interesting relationship with grassroots. In one way, it actually makes it easier for grassroots individuals to engage their legislature. On the other hand, it’s going to create a flood of grassroots engagement digitally. So face-to-face grassroots engagement is going to have more impact. I’ll tell you a story: Hawaii had the terrible fire that destroyed Lahaina a few years back. Hawaii has terrible building codes — it’s incredibly hard to build homes there. That town was completely destroyed, so the state needed to relax its building codes in order for homes to be rebuilt. Well, they weren’t making this change. Show-Me’s sister think tank, called the Grassroots Institute of Hawaii, built an AI platform that allowed individuals to submit testimony to the legislature. Testimony has a higher bar, right? You can email your lawmakers pretty easily, but testimony goes into the legislative record and has to follow a certain format and be structured in a certain way. That’s not something that grassroots individuals were very equipped to provide. So a think tank would typically provide the testimony and then get grassroots supporters to send emails to lawmakers. What Grassroots Institute of Hawaii did was build an AI agent so that an individual could say, “Hey, my house was burnt down, I need these things,” and the AI agent would turn that into testimony and submit it directly to the legislature. It resulted in a skyrocketing number of testimonies being filed. Because of that, the legislature said, “Wow, we’ve heard from 500 constituents — we’ve never heard from that many constituents before.” So they relaxed their regulatory regime, and now homes are being built in Lahaina much faster.

Susan Pendergrass (09:48) Did they know that AI was doing it? Were legislators thinking, okay, this is AI?

Todd Davidson (10:12) That is why they went through testimony. Legislators’ email inboxes — they’re not reading their emails anymore, right? They get thousands of them. But through testimony, the AI was not making up the stories. The people had to fill out the content and explain their story. The AI was just structuring it in a way to make sure that it got submitted as testimony. I do think that is a bit of an arms race. At some point the same thing that has happened with email will happen — there will just be thousands of pieces of testimony and you won’t be able to read all of them. So there was a bit of a first-mover advantage. And once that becomes ubiquitous, I do think what you predicted is going to happen, where legislators just say, well, this is AI-facilitated. And that’s where it’s going to have to go back to face-to-face, bringing those people in.

Susan Pendergrass (11:08) I think you’re absolutely right. As more video content comes out and we all realize it’s AI — I just don’t really believe that any videos are real anymore. I don’t really believe pictures are real. I don’t really believe music is real. And it doesn’t necessarily bother me that much, but I think because of that skepticism and unwillingness to believe in digital content, things happening in real life right in front of us are going to take on higher and higher value, so that we know for sure that if I’m speaking to a legislator, it is me saying it and what’s coming out of my head. That’s about the only way we’re going to know if something is real — or the default is just going to become AI-generated.

Todd Davidson (12:01) 100%, I absolutely agree. And that’s where I think organizations like ShowMe are well positioned. Because you’re in the state of Missouri, you can be in Jefferson City or you can be in St. Louis or Kansas City in those face-to-face relationships. It’s going to make your government affairs personnel far more valuable, your fundraisers who can be face-to-face with donors far more valuable, grassroots activists that are face-to-face. It’s going to put a premium on face-to-face interactions for sure. I agree — there’s going to be so much content out there. You’re still going to need content because that gives you credibility, it gives you what you’re going to talk about. But then you’ve got to pair that with the face-to-face interaction, otherwise it’ll just get ignored.

Susan Pendergrass (12:47) And you can definitely see the gap when people are generating stuff through AI and they don’t know the subject matter enough — like you said about the attorney. But there is definitely a role for humans to say, I mean, I do this all the time with AI: I’ll say give me five of these things, give me five infographics or something like that. But the human has to know which one is the best or which one makes the most compelling argument. AI simply really can’t do that. So while some people would love to believe that AI is going to run the world, I do believe there is an emerging role for human discernment to know which AI products are better than other AI products. Would you agree with that?

Todd Davidson (13:32) Yeah, 100%. I think the sweet spot is utilizing AI to make yourself more efficient or do things that you don’t like doing. But then that raises you up into that discernment phase where you’re the one making the call. I do this all the time — I’m having conversations with AI to increase the outputs. I should not spend any time making infographics. I’m not good at it. But I can have a conversation with AI where it produces that infographic much more effectively than I could. I’ve also found that, if you put the prompting on it, it can help you find those particular sources that you’re looking for. Say you want to write a survey on school choice research — it can help you gather all of those materials much faster. But then you have to make sure that it’s of high quality.

Susan Pendergrass (14:35) What do you think about the current pushback on AI-generated pictures? Do you think that is just a learning phase we all need to get through? Some top artists on Spotify have been determined to be AI-generated.

Todd Davidson (14:57) Really?

Susan Pendergrass (14:59) Yeah. The number two Christian artist is just AI, and across all genres there are artists with millions of subscribers who are just AI-generated music based on what AI knows we all like. So we do like it. Does it matter that there’s no real person writing the music? I don’t know.

Todd Davidson (15:12) It’s kind of sad. Yeah.

Susan Pendergrass (15:21) I know the initial reaction is, that’s sad. But then after a while you’re like, I don’t know.

Todd Davidson (15:26) There is going to be intense pushback to all things AI. AI is very unpopular right now. I saw some polling just last week that showed it is the number one concern of voters. There will be a populist pushback against AI. We’re seeing this pushback against the data centers. There’s even polling that showed a plurality of the population believes it’s immoral to use AI. And I think it gets at the core of some of what you’re talking about here — yes, there’s this very popular, satisfying music, but it loses some human element because there’s not a human behind it. I do think we’re going to see a lot of pushback to AI on multiple dimensions. There’s that cultural dimension. There’s the economic anxiety dimension right now: a fear that AI is driving up energy costs, a fear that AI could take my job. There’s going to be pretty significant pushback. Right now we’re mostly seeing that in anti-data center efforts, trying to stop the building up of data centers across the country. I was looking at some Democratic pollsters today who were pitching that Democrats should advocate for a guaranteed job, guaranteed income, guaranteed healthcare, and a guaranteed home if you lose your job to AI. That kind of populist messaging is going to resonate with a lot of the public. What is the response going to be to that? What are the other solutions that we could advocate for that both allow the continued growth and opportunity and also allow continued innovation around AI, because we’re going to need AI to continue to develop?

Susan Pendergrass (17:30) It’s already here. I mean, we’re doing this in reverse order. And I think my opinion is that massive new technologies always get pushback — like the car. People were on their horses, and then we started designing roads for cars. Calculators got a lot of pushback, the internet got a lot of pushback. But ultimately people decided that they liked it better. I think AI is the same — we just have to figure out how to work with it. And I know that it is threatening to take a lot of jobs, but I see it more as a good thing. It gives us an opportunity to become the expert over AI. AI is not going to be the expert — we still need the human component. Like you said, face-to-face interactions. Legislators are still going to know what Missourians want and how to represent their constituents, and those are real-world issues. The data center pushback is because I don’t want to look out my window and hear a buzz and see a data center — I don’t want all that land going to data centers. That’s a real-world, in-person issue. But I just think we’re going to have to learn to work with it. I don’t think robots are going to — maybe this is where I don’t want to say things out loud — but maybe the robots will take over the world, I don’t know. But personally I feel like it is helpful to get a lot more content out, because you don’t know what’s going to resonate with stakeholders. Whether it’s a video or an infographic or a report or a different type of content, the fact that we can generate these things much more quickly I think is a benefit to us, and it makes the in-person time more meaningful to me.

Todd Davidson (19:11) You’re absolutely right. When a new technology comes out there’s going to be pushback, and organizations like ours have to figure out what’s the policy framework that allows that innovation to thrive without getting in the way. And fortunately we have a lot of those policies already. Like Avery, your colleague at Show-Me Institute, talks a lot about energy. One of the biggest pushbacks on AI is that it’s driving up energy costs. There’s some research that shows that’s not quite what’s happening. What’s happening is a lot of green policies that got passed in the 2010s are coming to roost — the renewable portfolio standards and those things are really what’s driving up energy costs. But even still, what can we do to make energy more affordable and reliable, even with a bunch of data centers added to the grid? And Avery’s got good policy on this: expanding nuclear power, expanding the use of reliable energy sources.

Susan Pendergrass (20:23) It’s separating out consumer electricity from data center electricity. You can carve these things differently.

Todd Davidson (20:29) Yeah, that’s another one — where the data center has its own power source. So there are policies out there that can mitigate it. And on the job question, unfortunately AI is happening at the same time that we’re having a continued cost of living and inflation issue. It’s one more thing that is driving anxiety. It’s not the root cause of what’s going on — we’ve got other factors that we need to address to get inflation under control, particularly on the energy side.

Susan Pendergrass (21:08) Yeah, but I do think it’s great that we have so many opportunities to expand or improve how we do things. In our little corner of the world, which is think tanks, we’ve been doing things kind of the same way for a long time. So I think a new approach to how we do business is a welcome change, and I think we could be a lot more effective.

Todd Davidson (21:38) Yeah, I think we’re going to see far more productive think tanks on the research side. On the litigation side, I was talking to Wisconsin Institute for Law and Liberty. They litigate a lot of cases. With the advent of AI, every lawyer essentially got a legal clerk right away. They went from nine lawyers and a handful of legal clerks to nine lawyers who each now have their own AI legal clerk. It’s dramatically expanded the number of cases they can take on. And the same thing on the research side. On the marketing side, production of content is going to be quite a bit easier and more cost effective as well.

Susan Pendergrass (22:26) Well, I appreciate having a chance to talk to somebody who has a positive perspective on it, because I do hear a lot of doom and gloom when it comes to AI. I was reminded by somebody that many of the scenarios in movies and books about AI are very dystopian, but perhaps it’ll be utopian. We don’t know. It’s all in how we approach it, right?

Todd Davidson (22:48) Yeah, it is. It’s going to be an exciting new world that we live in and we’re right on the frontier.

Susan Pendergrass (22:54) Anyone with little kids, like you — who knows what the world’s going to look like when they’re going to college. So you’ve got to stay flexible, right? Well, thanks so much, Todd. I appreciate you coming and talking to us about it. We’ll have to talk about it again sometime soon when the whole thing has changed.

Todd Davidson (23:02) Yep, stay flexible and always be learning. Yeah, sounds good. Thanks, Susan.

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