Adapt or Get Left Behind: The New Rules of AI & Business

Summary

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Right About Now – Legendary Business Advice

Episode: Adapt or Get Left Behind: The New Rules of AI & Business
Host: Ryan Alford (The Radcast Network)
Original Air Date: March 27, 2026

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Episode Overview

This episode dives deep into the seismic shifts AI is causing across business, work, and organizational culture. Host Ryan Alford brings together diverse experts—founders, AI strategists, authors, and operators—to slice through AI hype and deliver hard-hitting, real-world insights. The crew explores not just how AI is transforming workplaces, but also what leaders, founders, and everyday professionals must do to adapt, future-proof themselves, and seize new opportunities in a rapidly evolving technological landscape.

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Key Discussion Points and Insights

1. The Biological Optimization Playbook – Thorin (Brain One)

• Background: Thorin, CEO/founder of Brain One, discusses the intersection of neuroscience, data, and daily protocols for personal longevity and performance.
• Takeaways:
  • Early interest in tracking biological data for athletic performance laid the foundation for Brain One’s neuroscience approach.
  • Protocols (structured daily routines) with microhabits (e.g., cold plunging) are central to optimizing brain health and life.
  • The company’s AI synthesized leading scientific protocols (Huberman, Attia, Brian Johnson, etc.) into practical daily guidance.
• Notable Quote:

  “What is a protocol? At the end of the day, when you get up in the morning, what are the things that you do on a regular basis, period?”
  — Thorin (03:49)

• Memorable Example:
  Compares Brain One to a “Noom for neuroscience”—rather than old-school calorie-counting, it’s about habit-based optimization for the brain.

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2. How AI Is Reshaping Teams and Work – Veronica Shelton (Oak Theory)

• Background: Veronica, co-founder of a leading design and tech agency, shares how AI is irreversibly changing not only their business but also the very concept of talent and roles.
• Key Points:
  • AI has blurred boundaries—designers are writing, developers are selling, and salespeople are designing.
  • Jill-of-all-trades is not a liability anymore; AI enables everyone to contribute across the board, boosting both creativity and efficiency.
  • The shift has cut costs (“saved us mid six figures”) and made teams both smaller and more collaborative.
  • The challenge: balancing AI efficiency with preserving human creativity and integrity within teams.
• Key Quote:

  “Our Mondays and Thursday meetings are the most amazing things I’ve ever seen because they’re touching so many things now...our team works together in such a fluid way—it’s almost like a new kind of core.”
  — Veronica Shelton (11:31)

• On the Future: Veronica, quietly bullish on AR (Augmented Reality), sees it as the “next cell phone”-level shift (09:30).

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3. AI as the New Knowledge Economy—Threat and Opportunity – Matt Britton (Author, ‘Generation AI’)

• Core Argument:
  • The value of “knowledge work” (coding, legal, accounting) is eroding fast—AI can already outperform humans in many of these functions.
  • Future relevance requires being a problem solver with or for AI, or excelling in a hands-on trade (building, plumbing, etc.).
  • The biggest winners will be those who can harness AI’s powers for new problem sets—not just those who “know things.”
• Analogy Highlight:

  “What makes a great photographer right now is not knowing the technical skills of how to turn the knobs and dials, how to develop film. It’s actually having an eye on where to point the camera. And AI is the ultimate analogy for that...”
  — Matt Britton (16:22)

• Rapid Shift Highlight:

  “If you’re not going to be a builder in AI and be a problem solver, then AI will disintermediate you.”
  — Matt Britton (14:12)

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4. Agents, Automations, and Next-level AI – Matt Britton & Ryan Alford

• Basic Levels of AI:
  1. Call & Response (101): Prompt in, answer out—supercharged Google.
  2. Automation (201): Tools like Zapier connect, execute processes automatically.
  3. Agentic AI (Next Level): AI is given autonomy—acts on your behalf beyond simple rules, including booking, planning, real-world actions.
• Implication:
  Agents can take over tasks, interact with the external world, and learn/unfold new solutions, representing both huge gains and unsettling potential.
• Quote:

  “Agents, you’re giving AI autonomy where, based upon the input, you’re letting it decide what tools to use and how to accomplish things for you.”
  — Matt Britton (17:30)

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5. Unlocking Human Potential with AI – Rob Lennon “The AI Whisperer”

• On AI’s Leap:
  We’ve reached a “point of no return”—AI now routinely performs above human level when properly directed.

• Strategic Use:
  The real differentiator is “prompting in a progressive way”—breaking down, guiding, and building up to specific outputs rather than just treating AI as an answer machine.

• On Curiosity:
  Effective use of AI encourages more and better questioning; people get smarter and more creative as they interact with it.

• Quote:

  “These models, they have reasoning, they have memory...Even if it never progressed further, what we have right now is enough to completely transform almost every sector of society.”
  — Rob Lennon (19:44)

• Tactical Prompting Example:
  Start with high-level questions, progressively decompose them, then synthesize for richer, uniquely tailored answers (21:10).

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6. AI Coaching & Empathy—Beyond Automation – Dimas Rutkin (CEO, Pandatron) & AI Coaching Expert

• Big Shift:
  • AI coaching isn’t just about productivity—it’s about unlocking empathy, self-reflection, and growth potential.
  • People sometimes feel more comfortable talking to AI coaches (no judgment, 24/7 availability) than humans.
  • AI can surface team or organizational patterns that human managers might miss.
• Quote:

  “In all these years, I have not seen something experiential that allows for this level of vulnerability for a human. I never thought it would be possible...but it’s mind-blowing.”
  — Dimas Rutkin (27:52)

• Ethical Stance:
  AI is not here to replace human coaches but to augment self-awareness and support human development at scale.

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Memorable Quotes

• Ryan Alford:
  “If people aren’t embracing [AI], they will be jobless. But if you embrace it, it will be just fine.” (13:40)
• Veronica Shelton:
  “It’s not so horrible to be a jack of all trades...having them work with [AI] agents is really interesting. Watching them work with the agents...it’s wild.” (11:16)
• Matt Britton:
  “Are there still use cases, professional photographers for weddings, for special events? Sure. Are they dwindling? Yes.” (16:23)
• Rob Lennon:
  “Either you’re going to be an early adopter...or you’re going to get destroyed because you weren’t paying enough attention and somebody else moved faster than you.” (20:25)
• AI Coaching Expert:
  “People think too much about AI being only an automation tool and I think it’s so much more… it’s so much more than just coaching.” (25:58)
• Dimas Rutkin:
  “At least in AI within the realm of coaching...AI coaching is one of the areas that is not really replacing humans...we help humans reflect better on themselves.” (26:52)

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Key Timestamps

• 03:07–07:00: Thorin on Brain One, data-driven longevity, and protocol-based optimization.
• 08:32–12:04: Veronica Shelton on AI transforming team structures, roles, and saving costs.
• 14:35–16:51: Matt Britton on AI replacing knowledge work and the value of skill trades.
• 17:06–19:09: Understanding agentic AI vs. basic automation.
• 19:18–22:21: Rob Lennon on practical AI application, early adoption, and prompting best practices.
• 25:32–28:20: Dimas Rutkin and AI Coaching Expert on empathy, self-reflection, and human-augmenting potential of AI coaching.

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Overall Tone and Style

The discussion is candid, energetic, practical, and unfiltered—mirroring Ryan Alford’s no-nonsense, hustler spirit. The guests cut through hype with tactical advice and urgent warnings, blending technical details with real-world business and workplace reality.

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Final Takeaways

• AI and business are now inseparable—leaders and workers must adapt or risk obsolescence.
• The greatest opportunities are in using AI not just as a tool for answers, but as a partner to unlock new questions, creativity, and operational agility.
• Organizational and personal adaptability—plus a willingness to reimagine roles—are now the true keys to winning in business.

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Ready to “snap necks and cash checks”? As the episode insists: Adapt, or get left behind.

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For full audio, highlights, and more, visit ryanisright.com.

Transcript

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[Ryan Alford]

Access to affordable credit helps me pay my employees, but I don't really need it. Inflation is killing me, but who cares? Big retailers are making record profits.

[Matt Britton]

That's why we support the Durbin Marshall credit card bill.

[Rob Lennon]

See banks and credit unions help small businesses make payroll.

[Ryan Alford]

This bill would cut the vital resources they need while increasing megastore profits. They deserve it, don't they?

[Veronica Shelton]

Tell Congress stop the Durbin Marshall money

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[Veronica Shelton]

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[Thorin]

If you really want to become a leader in the space, you have to know the tools you need to understand, you know, where we're at today, where they're going and how to utilize them.

[Veronica Shelton]

Right now the biggest thing that everyone's talking about is AI and where it's going. It's the best tool that's ever existed. There's so much that's coming from it, from building agentic environments. That's a whole new world of its own and mind of its own.

[Matt Britton]

If you're not going to be a builder in AI and be a problem solver in AI, then you're. Then AI will disintermediate you.

[Rob Lennon]

This new iteration of language models is if we go from sub average to better than humans at a lot of things or capable of being better than humans if you know how to work with it.

[Dimas Rutkin]

It's not just a big shift in the way in which we do business, but it's also speed of change. Even the PC took about 20 years to reach mass adoption. ChatGPT took 10 months. When you combine the two of them, it just makes it compelling for everybody to get on the band live as soon as possible.

[AI Coaching Expert]

People think too much about AI being only an automation tool and I think it's so much more. Maybe we'll tap that. We do as well. But we see even though we say AI coaching, it's so much more than just coach.

[Veronica Shelton]

This is Right about Now with Ryan Alford, a Radcast Network production. We are the number one business show on the planet with over 1 million downloads a month. Taking the BS out of business for over 6 years in over 400 episodes you ready to start snapping necks and cashing checks? Well, it starts right about now.

[Ryan Alford]

Hey, what's up, guys? Welcome to Right About Now. We're always talking about how you need to stay ahead of business, tech, AI, anything and everything that's happening in the business and marketing world. We're here to tell you thank you for making us number one. I am Ryan Alford, your host. I have friends that in high places sometimes that introduce me to friends in higher places and cooler places and all those things. This is one of those instances where it's both a pleasure and insightful for you because we've got Thorin. He is the CEO and founder of Brain One. Talk to me, Thorin. Why Brain? What got you into this longevity space and the brain space? What kind of was the fundamental thing that started you down this path?

[Thorin]

So I've always been very fascinated by just the idea of biological optimization. I began doing triathlons in my 20s and that went all the way to full Ironmans. And what I saw is that when I was wearing a wearable. And so in that sense, we had the big chunky garments back then, but through the use of data, I could ultimately optimize my biology, period. And then, you know, the devices have only gotten better. And right now I'm wearing three. I'm wearing a whoop. I'm wearing an aura, I have a Garmin. But that concept of, again, using data to optimize your biology. And so as I was going down that road, what I saw, you know, relative to my training and my racing, is that I could attenuate my lactic threshold by doing X or Y and ultimately sort of get faster and stronger in all of these things. And that was through the use of a structured framework or a protocol. And so I think it's important to kind of start there. What is a protocol? A protocol is just your daily routine. At the end of the day, when you get up in the morning, what are the things that you do on a regular basis, period? And if you take a quick step back and you look at all of the protocols that are out there around things, things like longevity, it kind of comes back to really key areas. It's nutrition, it's exercise, it's stress, and it's sleep, fundamentally. And at Brain One, we fed every protocol from Huberman to Peter Attia to Brian Johnson to Caleb Barnes, you know, into our AI. And ultimately it's kind of in those four major categories. And then the protocols are comprised of microhabits. What's a microhabit? A Microhabit is a small incremental change that ultimately you can measure theoretically, ideally. So what's an example? Cold plunging? Again, being a triathlete, we've been doing red light cold plunging mean for like, decades. And it's cool now. Like, these are all the rage. It's a great mechanism to help, you know, manage your autonomic nervous system. So cold plunging, though, you look at that as a microhabit, as part of a protocol, you're looking at temperature of the water, you're looking at duration in the water, you're looking at frequency per week and so forth. And so those are all essentially the variables within that microhabit as part of the protocol that you're optimizing. And so what I saw on the triathlon side is that following this structured framework, you can really optimize your biology. And. And about two years ago, I was doing some work with a group out of Columbia University focused in the protection of neurological. And that's actually a very important area for me personally. We were the generation that gave away all of our behavioral data. Especially you talk about marketing, and I remember back in the day when the Facebook API, you could download everything. Same with Twitter, you could literally, it was a fire hose around the data. Now it's a walled garden. Of course, all the stuff quite well. But, you know, that said that concept, we gave away all of our behavioral data under the guise that we're connecting with our friends from junior high and high school. But really what we were doing, we're training models for these large technology companies. And so we're also on the cusp for neurological data. And so I was doing some work with this group called the Neuror Rights foundation and focusing on the protection of neurological data. And what does that mean on a state, federal, international level? And what I saw was that there was just such a lack of resources around brain, a lack of resources for education, and ultimately lack of resources for, you know, for protocols. And so that was kind of the initial impetus. And so we went down the road of focusing on. On brain and building essentially the NOOM for neuroscience is how we would frame it. What does that mean? If you're familiar with noom? So this is a behavioral weight loss, essentially platform using cbt, so cognitive behavioral therap. And they've been incredibly successful because what they do is they focus again on that concept of cue rewards and microhabits optimizing your behaviors as opposed to just calorie counting. And it's interesting because Noom is now valued at $4 billion. Whereas, like two weeks ago, weight Watchers just filed for bankruptcy.

[Ryan Alford]

Why?

[Thorin]

Well, Weight Watchers is following, you know, these older methodologies, your calorie counting, you got the colors and honestly, it's just obviously mismanaged as well. But it's just an outdated mechanism and something like noom for neuroscience. That's really where we have been focused. And so the idea of again, these small incremental changes that ultimately impact the whole human with ultimately essentially habits that they can learn and integrate. And it's not like a fad. So that's really what we've been focused on relative to that kind of approach, ultimately to brain, which has never been done.

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[AI Coaching Expert]

app

[Thorin]

before

[Ryan Alford]

we have the lovely Veronica Shelton. She is the co founder of Oak Theory. What's up, Veronica?

[Veronica Shelton]

What's up, Ryan? Hi, how are you?

[Ryan Alford]

I am fabulous. I imagine you're on the forefront of seeing different technologies, platform, software. Is there anything you're seeing that, that you're excited about that is gonna make the things you do better for accessibility and diversity and things like that. Are you seeing stuff that would blow people's minds or is it more practical than you think?

[Veronica Shelton]

Right now the biggest thing that everyone's talking about is AI and where it's going. It's the best tool that's ever existed. There's so much that's coming from it, from building agentic environments. That's a whole new world of its own and mind of its own. My excitement honestly goes into something that we're not gonna get to for a while, but it's ar. It' quiet right now on purpose, but AR is probably where I'm definitely focusing a lot of attention to know about because that's going to be the future. Going through this evolution, I think that's probably going to be the big one. That's going to be the cell phone. Of just having augmented elements in reality, in our real world, that's probably what's making me excited. I can go down the deepest tunnel with accessibility features and why that's great. It's going to change the game for a lot of people whose brains and skill sets we haven't been able to experience. AI in general is doing that. I have an amazing team. I have a team of brilliant people. We started oak the five years ago. We had designated spaces for them. Designers were designers, engineers were engineers, developers or developers, sales or sales. Now that we're in this new place for the past year, this is where we're seeing this huge shift in jobs and what people are capable of. Designers are now able to develop a lot easier sales copywriters, people who weren't naturally creative are able to create. It's creating such a fluid space in work environments that it's ridiculous. On top of that, I've been struggling as a founder with the integrity to keep your team and not replace them with AI because AI is coming in and doing a lot of things that project management wise and things like that are just no brainer. You don't need it anymore like you used to, but you still need that human side. There's this really cool area that I've been playing around with where it's being very transparent with the team. Like, hey, jobs are changing. We need to adapt creative person. Now that you have AI, what else can you do? Suddenly our designer is able to write things. We're able to have copywriting done by them and they can finish projects easier. Sudden developers, our engineers are working across the board on in every area. I can't even go in to how vast our skill set or how wide range our skill set is now just because of this one tool, our sales is able to put together their own pitch decks without having to go to design. That saves us a lot of money a year. That's something that I really find interesting. And I'm working on processes after processes. We've replaced our team in the past year. I will be honest, it saved us mid six figures in that we've been able to do so much more. And our team has become so core that it's almost like a new kind of core where our team works together in such a fluid way. Our Mondays and Thursday meetings are the most amazing things I've ever seen because they're touching so many things now. It's not so horrible to be a jack of all trades. It's not so horrible to say I have a team that does a lot because it doesn't feel like they're caring as much anymore. And in fact they're like learning and having fun with it. That is a place where I think is really fun. And having them work with agents is really interesting. Watching them work with the agents. Agents that were built hybrid environment is dystopian as hell, if that's the right word on the. It's wild.

[Ryan Alford]

I own multiple companies. I worked in New York and I had a team of a hundred people worked in the ad agency world. This is way before AI and it will build exactly the thing you're talking about. I was always sort of a jack of all trades in the ad agency world and it was not the most popular thing because the ad agency world especially likes putting people in boxes. You're the creative person, you're the writer, you're the account person, you're the strategy person, you're the media person. And how dare the account person ever be creative. Crosses over strategic. And I was the strategic creative account guy that made the agency a lot of money, but wasn't always the most popular. And I started my agency Radical with the intent to create sort of a flat environment way before AI and agents because I knew you're not extracting the best out of people. Yes, you need specialization and you need to know what your job is and what your functions are. But I always believed you weren't always extracting the best out of your team when you limited them to only one function. Yes, hold that proved to be successful. And then AIs come around and I had the exact discussion with my team. I had close to 20 employees four years ago. We have less than a quarter of that now. I've only fired one person. It's just been natural evolution of leaving and going other places and me not replacing as some of these technologies have come along and now we're as lean mean as ever. But I had that exact discussion that you did and then I think a lot of business owners are having to have this discussion with their teams to go this can do a lot of what your job was. I believe in you and you are talented and I need you to embrace this and I'm not going to fire you, but you need to understand that you need to be doing not just more well, you just got to work more. No, you don't have to work more, work the same hours but the output should be 10x because of what these agents are doing and you're no longer just this. You can be the writer and the designer and the developer and your agent can help you do these things with task management and a litany of other things. If people aren't embracing that, they will be jobless. But if you embrace trace it, it will be just fine. We've got Matt Britton, he is the author of Generation AI. There's nothing more right now than AI. The trade school get more valuable. If you're not wanting to be a white collar guy, that's tech forward using these things, everything you said, boardroom, executive, whatever that is, but at a high level, then get really good at a skills trade. Become the best builder, plumber, whatever it might be.

[Matt Britton]

We've had this knowledge economy for so long were compensated for possessing knowledge. And that could be knowledge and knowing how to code, knowing how to write a contract, knowing how to read an X ray, knowing how to do someone's taxes. But those are all things that AI is going to take the place of workers. AI arguably can already do your taxes better or write a contract better in most use cases than the professional services world can. If you're not going to be a builder in AI and be a problem solver in AI, then you're then AI will disintermediate you at the same time. What you've aptly point out is if you're a problem solver in the physical world, that that becomes a skill set that becomes even more in demand. Yes, the trade skills are going to have a boom and they already are. The issue is that many parents aspire to send their kids to these higher education institutions that are predicated on facilitating the knowledge economy and they're teaching kids skills that I would argue are going to be no longer relevant once they get out. I spoke at the end of last year in front of 700 college professors who kind of know this and are just mind boggled about what it means to be an educator in this world when they're using textbooks that were written long before ChatGPT ever even came out.

[Ryan Alford]

You just gave me either the greatest or worst analogy I've ever had. I'm going to go down this road mat you could be, let's do it critical as you did, or if it works, you can tell me. It works. If you're like, all right, put this in the bag. We used to cook by rubbing flint together to get a fire. Yeah. The skill of starting that. And then in today's world we have microwave, the equivalent that I'm thinking, ah, I still know how to start this with flint. That's great. I'm using this microwave four other things while it's going on. Is that a good analogy?

[Matt Britton]

That's a good analogy. The best analogy I use is photography. You used to need to know how to develop the film to be a photographer. You know how to operate these technical DSLR cameras and knowing stuff like ISO and F stop. And now 99.9% of all pictures are taken on the iPhone and you just need to know where to point the thing to and pick a filter and how it looks. Are there still use cases, professional photographers for weddings, for special events? Sure. Are they dwindling? Yes. What makes a great photographer right now is not knowing the technical skills of how to turn the knobs and dials, how to develop film. It's actually having an eye on where to point the camera to. And AI is the ultimate analogy for that is where do you point AI? How do you unleash its power? You no longer need to know how to do the knob and dials. That's all beneath the surface.

[Ryan Alford]

I think I took it one step, you took it nine more. Let's talk about agents. Agentic AI. You've got prompts and asking to do things now with agentic AI, we got them. Actually, I would almost call it the implementation, the acting upon what is generated.

[Matt Britton]

There's really three levels of AI that most people need to understand. The first, the 101, if you will, is the call and response, which is you put in a prompt, you get an answer and that's just like better version of Google in a lot of ways. And it's obviously it's conversational and does a lot, but anything you need to know in any format, you could ask ChatGPT or Grok or Claude or Google's Gemini and you're going to get the answer back. So that's kind of the 101, 201 is automation where you can use a tool zapier or make.com or nan, where basically you can say, I want you to take this Google sheet, extract these three lines from the Google sheet, write a blog post about that and post it. And that's kind of an automation where basically you build these steps where AI is the blood, if you will, in between the organs of the individual applications that you're using. And I'm talking about any application be, Google Drive, Google Sheets, Instagram, it could even create content for you. And I've done a ton and built a ton of automations for my company using tools like that. Agents are the next level because automations are deterministic. You're basically setting out what it should do. This is what you do. Step 1, 2, 3 and 4. Agents. You're giving AI autonomy where based upon the input, you're letting it decide what tools to use and how to accomplish things for you. That's one. And the other things agents agents do is they actually can interact with the outside world. I want you to plan a trip with my four kids somewhere where it's at least 80 degrees and there's a 10% chance or less of rain, and here's my budget and here's a part of the world and I want you to book the entire trip for me and it will then take agency, if you will, based upon everything it knows about you, to not only do the research for you, but actually book the entire trip for you. And if that actually involves it making a phone call and using an AI agent to speak to somebody at the Ritz Carlton, it's going to do that for you as well. And when you start to think about the implicit implications of that, an AI agent, it could also take over your computer for you and it could start actually doing things on your computer and it starts to really replicate a lot of what you and I do all day. It's both scary but incredibly fascinating and if used the right way, can make us way more productive.

[Ryan Alford]

We're about to talk about all breaking it down with our good guest, Rob Lennon, the AI Whisperer startup guy. We'll find out in a minute. Rob, good to have you on the show, brother.

[Rob Lennon]

Hey, thanks for having me.

[Ryan Alford]

I get all your posts and everyone else's AI posts. I'm in the AI vorte context now, clearly. Let's just go right at it. Number one, you were using it early. You've been an early tester, user of the technology. You've seen the evolutions that are happening. What do you think the average person should think and know and feel about where we're at right now in terms

[Rob Lennon]

of what was available to the general public? Everything changed. We went from having useful tool in some places to do certain things that didn't always do a great job, a lot of below average results, to a phenomenal capable tool. This new iteration of language models is if we go from sub average to better than humans at a lot of things, or capable of being better than humans if you know how to work with it. And so I think we've crossed over this impossible barrier and it's impossible to turn back now and it's actually been accelerating everything. It sounds like science fiction. It sounds like, no, this can't possibly be true, all these things that they say that are going to happen. But these models, they have reasoning, they have memory, they can think through processes and it doesn't have a soul and it doesn't think in the same way that the human brain thinks. Exactly. But the technology has arrived basically. And even if it never progressed any further than we have today, that what we have even right now is enough to completely transform almost every sector of society. And really, like some seismic changes are coming in terms of what can happen. Either you're going to be an early adopter and you're going to benefit from those, or you're going to wait and see and you're going to ride the wave, or you're going to get destroyed because you weren't paying enough attention and somebody else moved faster than you. We're going to see some really big companies fall in the next few years as a result of not being able to act quickly or act in the right way within the context of what AI could have done for them. One of the things that I teach is thinking through prompting in a progressive way. Let's say that was the end result that you wanted. You might first ask, describe the Instagram algorithm and then you might follow up with break down each component of the Instagram algorithm and based on the impact to the overall visibility of a post. And then you might ask what search terms are related to all of the concepts that we've discussed so far. If you progressively build tools towards this end result and then eventually you ask the AI synthesize everything that we've talked about into an article, even if it's the same exact sentence that other person typed in first. By building up toward this sort of unique set of information in A specific way. You've now tuned it to talk differently, to know specific concepts, to have different details, and the output is going to be completely transformed. So just by taking those few extra steps that normally you do in your brain, like, you probably do them almost instantly, so you don't even realize where you're like, I'm going to write about this, I'm going to think of these things and I'm going to think about that, and I'm going to do the thing that's the most useful to my audience and blah, blah, blah. If you can just figure out what those brain processes that you would go through and have the AI walk through them first and then execute on your command, your results are going to be much different than people who take the shortcut.

[Ryan Alford]

It may be really shallow. It feels really deep. Is this an answer machine or does this help develop questions? Because when you think about life and the most successful people are the most curious people, they have the most questions, questions, and they need answers or they develop answers. Is this an answer machine or a question machine? Do you understand where I'm going with this?

[Rob Lennon]

Everybody's first impulse when met with a chat like a conversational interface, is to ask a question and to get an answer. It's so obvious, but it's also a superficial way to start. There's so much more that you can do than just ask a question. And I actually suggest people think in terms of giving it a command or a directive rather than asking a question, because it forces you to think about, what do you actually want? What do you mean by that question? What are you really seeking here? So instead of saying, what is an SEO ask optimized article? Look like we can say, make me an SEO optimized article that does these things. And now we're being way more specific on what we want to get. It's actually a matter of the maturity of the person using the system. Certainly the AI can lead to many more questions. And even early studies now with the current technology are showing that people are actually smarter. People who spend more time with the AI seem to get smarter. Let's just say the AI is inspiring their brain to make new connections that they weren't previously making, to think about things in new ways, use it enough, and use it correctly, you're actually going to come up with more questions to ask questions you never thought of before. And that will lead you down such interesting paths. It's almost like if you find yourself in that situation, you're doing something right, because you're not just getting answers. You're now unlocking new Finding great candidates

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[Rob Lennon]

Mysteries to uncover

[Ryan Alford]

I'm pumped to have two guests today who are at the forefront. The CEO of Pandatron, Dimas Rutkin and Robert Newland, the Chief Money Officer, Chief Dinero honcho. The efficiencies that your competition can't have like 60% operational efficiency over you. Is that what it sort of comes down to? And the promise of the money savings combined with human combined with. Right. Sizing organizational structure. I mean there's a lot of different things, but it seems like Robert being the money guy at the end of the day gets somewhere grounded in that for a lot of organizations. They don't want to get left behind. Is that what it is? Yeah.

[Dimas Rutkin]

But there's also a once in a generation opportunity. Probably even Bill Gates said this is bigger than the PC, for example, because it's not just a big shift in the way in which we do business, but it's also speed of change. Even the PC took about 20 years years to reach mass adoption ChatGPT took 10 months. When you combine the two of them, it just makes it compelling for everybody to get on the bandwagon as soon as possible.

[Ryan Alford]

What's your perspective here? You guys go to all the conferences, right?

[Matt Britton]

Yeah.

[AI Coaching Expert]

People think too much about AI being only an automation tool. And I think it's so much more. Maybe we'll tap that. We do as well. But we see even though we say AI coaching, it's so much more than just coaching. Like suddenly it becomes completely different tool that we've never had before. That can also guide old strategy because suddenly besides just coaching people, you can also collect what are the biggest topics that they are talking about and what's behind those topics, what's the root causes. And then you can combine all that, aggregate that and look at the patterns. And it's something you could never do with human coaching. People oftentimes think too much of it. This, well, I have this process, I'm going to automate it and that's going to be the saving. That's going to be the first step that makes sense. It's going to go beyond that. And we're not fully even comprehending that. Like what are all those. What. What all those things could be.

[Dimas Rutkin]

There is a quote from one of our uses in Australia, which is Dimonos is my favorite and she says, I know this is going to sound kind of weird because although I know I'm talking to an AI chatbot, somehow I'm more comfortable talking to my AI coach than a human because I do not feel judged. So what we're learning from this, at least in AI within the realm of coaching, is that in coaching what people are looking for is empathy and then reflection. And we can provide a high level of consistent empathy to AI coaching 247 availability and then deep reflection in meaningful ways. And it really, really. It's one of the areas, and I want to quote Demon here, that from an ethics standpoint, you know, AI coaching is one of the areas in AI that is not really replacing humans. I think we help humans reflect better on themselves so they can interact better with one another. And I think that's a beautiful thing.

[Ryan Alford]

It is the biggest point. People think about the judgment of others a lot. And if you can remove that barrier, you unlock some potential authenticity and realness that never gets unlocked human to human.

[Dimas Rutkin]

That is exactly what we're seeing. And I've been in talent management, okay, I'll say those long as demons being alive.

[Grainger Announcer]

Yeah.

[Dimas Rutkin]

But in all these years I have not seen something experiential that allows for this level of vulnerability for a human. I never thought it would be possible. Even when I first started seeing these comments, I thought, no, it's got to be an outlier. Then you see consistently getting this feedback of the experience. I don't think this is replacing a human. This is just helping me reflect better as a human. So, so I can be better with other people, be better on my workplace, be better with my family. Just fascinating. I did not expect it, but it's mind blowing, frankly.

[Ryan Alford]

AI, there's a lot of different things with which sort of the principles, I guess, of artificial intelligence are being deployed in a million different ways.

[AI Coaching Expert]

We're still comprehending what the impacts are going to be. For example, with what we do, even though we call it AI coaching. I almost feel like this can be to lead the organization in a completely new way because suddenly in comparison to like human coaches, you can actually align a AI with your organizational objectives so it can kind of nudge people in that direction. You can collect all this data about, like, what are the systemic issues that can again help you adjust your strategy and at the same time you can kind of support people. So it almost becomes, you know, less of an employee benefit tool and more of leadership as a service, if you will. All that leadership wasn't done maybe because of lack of skill, maybe because of lack of time. Whatever the case may be, censors were still figuring out, like, what happens once we scale this thing. Another example is all the processes, right, like customer service. There was a Swedish fintech company that published that they saved millions on kind of Automating, I think, 90% of their customer service and saying actually a lot of it is not that difficult and it's pretty repetitive. Yes, we need that, like, little bit of a conversational touch there. And we now can have it with generative AI.

[Ryan Alford]

It's been a pleasure having you on the show. I really appreciate it. Hey, guys, you know, to find us ryanisright.com you'll find the highlight clips from today, the full episode and links. We'll see you next time on right about now.

[Veronica Shelton]

This has been right about now with Ryan Alford, a Radcast network production. Visit ryanisright.com for full audio and video versions of the show or to inquire about sponsorship opportunities. Thanks for listening.

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