AI Announcer (00:10)
Welcome to Prompt This, the podcast cutting through the AI hype with the precision and intensity of a championship highlight reel. After two full days of auditions and three tough callbacks, I'm thrilled to announce that I've earned the title of this week's AI Voice. Greg comes in as the seasoned strategist, the kind of leader who can scale a sales team the way top players dominate a global bracket, armed with a Silicon Valley playbook that delivers results. And Clint?
He's the startup veteran who turns bold ideas into thriving ventures, the entrepreneurial equivalent of a clutch game-winning moment. Together, they break through the noise with sharp analysis and actionable playbooks on how to leverage AI to launch new ideas, scale your business, and keep you from falling behind in a rapidly evolving arena. And now, here are your hosts.
Greg (01:07)
Well Clint, it's another episode of Prompt This, but it's a very different one for us. Another first.
Clint (01:12)
Yeah, absolutely. Season finale. We haven't had one before, have we?
Greg (01:16)
We successfully finished our first season. mean, it's quite an accomplishment actually. We were coming from just an idea, kind of hoping this stuff would work. We're 32 episodes in. We've talked to 22 operators. We have over 16 hours of recorded conversation. That was probably backed by a couple thousand hours of planning, practicing, building scripts, and throwing away episodes of just you and I.
trying to figure out what to do and now we have a podcast.
Clint (01:48)
Exactly. Exactly. It's been, ⁓ I don't know. can't tell you my, my, my own personal journey. just feel like I've grown so much. mean, we, set out to learn about modern AI, generative AI. And I know, I know the way I work on a day-to-day basis is totally different now.
Greg (02:07)
So I think that's a great backdrop. I think the best way to talk about this, this 30 episode journey is to talk about what actually changed from last year to now in the world of AI that we learned through these episodes. Lessons learned. What do you think?
Clint (02:25)
Yeah, you know, I think we were incredibly smart or incredibly lucky for kicking off the podcast at this just critical inflection point in how AI is becoming part of how we live and work every day. Right. So if you think about where we got started in early 2025, when you and I were kicking around the idea of the podcast, AI was still kind of a science fiction experiment.
was kind of a toy, right? That, you know, a few people were playing with, but most people were just kind of looking at going, ah, you know, that thing, I don't want AI to be taken over my job. And then by the time we got to the end of the year, I think we were finding that almost all of our guests were saying, yeah, I'm working now to figure out how to apply AI to my job. Or we found a few that said, I have figured it out. And now that we're in 2026, you know, people are talking about
budgeting cycles being built around AI tools and a complete rethinking of the way business works. It was a big shift and we got to be on the ground floor of it watching every step of it.
Greg (03:33)
Yeah, definitely. Yeah, that was a, that's a really interesting concept to see how ⁓ at the very beginning we had some superstars on that were kind of ahead of their time. And the audience response was ⁓ incredible back to us about, know, we feel like we're so far behind. This person's already got it figured out. There's companies out there that are selling just with, with AI only.
We're kind of all even again as long as you're consistent in using it, you know?
Clint (04:08)
That's a big point. the first mover advantage seems to be kind of going away. Everybody, the new normal is how I get my job done with AI. So if people are trying to use it, where do you think it's actually working?
Greg (04:18)
That's it.
Wow, it's so funny. We've talked to so many people using it in so many places, but you look at the patterns across it, I think.
I think it's wishful thinking that AI has taken over workflows completely and are really successful with them. I think AI seems to be working the best as kind of a co-pilot with you, if you will, or, you know, anytime a deep research across multiple data sources, ⁓ taking notes.
drafting emails, prepping work, but not posting it on your behalf yet. basically the grunt work, the grunt work of all the things we didn't want to do, it seems to have actually nailed that. I mean, that is a place to be using AI. Agreed.
Clint (05:20)
I think there's still a lot of evolution to be had ahead of us around the technology, but there's also a lot of evolution to be had ahead of us around ⁓ people's willingness to adopt the technology. But I also still think there's a point in the day where AI is not the answer, right? There's a point in the day where ⁓ it's the human standing behind the words. I think that probably for me, one of the most insightful moments
A couple months back, I was working with some folks and ⁓ I kept saying, well, the AI said this and the AI said that. And one of the people came back to me and said, you know, I have a hard time with that, Clint. Every time you said AI said this or AI said that, it sounds like you're not taking responsibility for the words that are being said. And we're just kind of pushing it off to the AI and
I got to tell you, I'm not really interested in what your AI said, because I can go look at my own AI and come up with an answer. But if you've got an answer that you're standing behind, you say it as if it's coming from you. And that was just a really strong moment for me where I was like, ⁓ I need to change the way I talk about this. So this, this kind of opens up a huge question for us, Greg, that I feel like we've, it's the, it's the elephant in the room. We got to talk about it.
At the front end of the season, we were very adamant that AI is not going to take jobs, right? That AI is this wonderful new technology, but at the same time, you need humans in the loop every step of the way. You just call that out right now. And that people should not be worrying about losing their jobs. Instead, they should just be worrying about how they get themselves AI skilled. Is that still your opinion now?
at this
Greg (07:17)
Well, it's changed a lot, you know, like early on and at the very beginning, you know, we would hear just some very intelligent takes on it. You know, we Mark Bautista in here and you he was, his take was, know, you got to adopt AI. AI is not going to take your job. The person that learns how to use AI to do the job will take your job, you know, and we all agreed with that right away. And it was a good assessment at the time because the tools were coming.
Right. And you're the only people getting obsolete it out or people that had a wall up to you, you know, to go against using AI, just to do things the ancient old way that was going to get you kicked out of the door. if you had a, ⁓ you know, if you had a desire to learn, to use AI with your job, ⁓ you were okay.
But I think the math changed on that, you know, as, you know, for instance, you know, that was maybe our third episode, you know, right? When we were getting started and that's what it was, you know, that was our last episode, you know, last, uh, mean, four or five episodes we had Eric Archer Smith, uh, on and, his take was it's absolutely taking jobs and you got to do the AI math because what AI is now doing is all the pieces that are simple to do.
small tasks, taking notes, preparing reports, preparing slides, all the things that junior people in an organization do while they're learning the business to move up. And he says, you know, if you, if you have five interns or five brand new, ⁓ know, college grads, and they're the ones doing these things, but you could have, you know, AI do all of those jobs.
to prep up for the next level people in the organization to prep their work. Suddenly you don't need 20 entry level people doing spreadsheets when AI can just do it in five minutes and prep the next level of people. So that absolutely took a bunch of jobs.
Clint (09:28)
All right, Greg, let's bring this in for a landing here. When we started this podcast, we were trying to figure out what generative AI, what this modern AI was actually really doing and was it really ready for business, right? And here we are 30 episodes later, and let me tell you, it's pretty darn clear to me, this isn't theory anymore. It's how work gets done.
Greg (09:53)
Well, that's the shift. mean, it started as curiosity and now it's execution. That's just what we do. We've been doing this all the time and now it's with AI. So everyone's using AI now. It's just different at very different levels.
Clint (10:10)
It really comes down to a few things. like, first off, AI works best when it's helping a human as opposed to trying to replace a human, right? It works best when it's a co-pilot and somebody's putting it to work on a day-to-day
Greg (10:24)
That was different than what we thought at the very beginning.
Clint (10:27)
We thought AI was just going to replace people in different types of roles. Some weeks and then other weeks we were like, can't replace anything. We were kind of all over the place at the beginning. The second thing that we learned is that there are people who are absolutely winning right now. They're beating their competition. They're beating other companies. They're beating other people in their company by using AI every day in real workflows. It's real. It's absolutely real.
And the gap in business AI right now, it's not about awareness. Like a year ago, people were like wondering, is it going to work? Is it awkward? Now it's about execution. It's about going out and doing it. And that's, ⁓ I think that's where we're at right now. I think that's what we learned this past season.
Greg (11:11)
really, when you think about it, through all our conversations, it's not really about tools anymore. It's about who actually uses them to get their job done better. Those are the ones that are winning. You know, the tools are out there, but it's the humans that can execute putting together groups of tools and execute workflows. They're the ones that are winning.
Clint (11:39)
Right. All right, folks, our loyal audience, thank you so much for being part of this first season. That's been season one. We went from trying to understand AI to actually using it. And we hope we've pulled you along on that journey and that you've done the same yourself.
Greg (11:55)
Yeah, I mean, the audience was amazing. We got so much great feedback. So season two is where we go deeper. I mean, we're, we're to talk a little less about AI in general and more showing how to actually use it. Cause our skillset went up. Your skillset needs to go up. If you haven't tried the AI challenges yet, that is the place to start.
Clint (12:23)
Go to the blog section of www.promptthis.ai. Everything we learned this season is there for you to use.
Greg (12:31)
Well Clint, I can't believe I'm saying it. That's a wrap on season one.
Clint (12:37)
And that's another episode of Prompt This.
AI Announcer (12:44)
Thanks for joining Clint and Greg today and for being part of our first season of Prompt This. You can catch every episode plus deeper dives and articles at www.promptthis.ai. Season one may be wrapping, but we're only warming up. Season two is gearing up with new voices, bigger ideas, and sharper prompts. So hit follow and stay locked in. We can't wait to have you back for the next chapter of Prompt This.
And finally, a huge shout out to Greg, Clint, and Barbara for an absolutely standout first season.
