Ask Ryan Estis how he thinks about automation, and he doesn't start with a case study. He starts with a phone call he made to his mobile carrier. When the automated system answered instead of a person, he reflexively repeated the words that get a phone tree to transfer you to a live agent. "Human. Representative. Human." He just wants to talk with a person, and that reflex is the core of the human-centered argument he makes about AI.
Ryan Estis, keynote speaker and co-author of Prepare for Impact, believes that technology isn't usually the problem in most organizations today. The absence of a decision about where humans still belong is.
In this episode of Keep Moving Forward, he offers a framework for that decision, which he calls authentic intelligence. "Automate the tangible, humanize the intangible," he says. Get that split wrong, and no amount of AI adoption pays off.
The AI Itself Isn’t the Advantage
"We all have access to the same tools and technology," Ryan says, "so it isn't the technology that's differentiated, it's the application of the technology." Everyone can license the same models and plug into the same platforms, so whether you focus AI on growth or cost and time savings matters more than ever.
AI adoption aimed at cost-cutting hits a ceiling fast, because there's only so much cost left to cut. "It's gotta be bigger than just time savings," Ryan says. AI adoption aimed at growth doesn't have that ceiling, but it asks more of the people running it, since growth has to be built, not just automated into existence.
"You see a lot of these AI projects failing, and it's because I don't think we've applied the correct rationale or thinking." The moment a system routes a real problem around a person instead of to one, it's already failed the only test that matters.
Discernment Is the Key Skill for AI Adoption
Ryan says that authentic intelligence is a valuable filter for deciding what a machine should handle and what a person should keep doing. "You have to have discernment about what to automate," he says. Automate the wrong things, and an AI project will fail. There are a lot of ways to get it wrong. He points to a McKinsey estimate that only 18% of a leader's job can be automated. The rest is, as he put it, "a human job."
The stakes of leaders getting it wrong are already showing up in the data. Ryan cites PWC research that 74% of AI's economic value is being captured by just 20% of companies.
Ryan applies the same standard to his own business, where his agentic platform has been through many iterations this year, none moving without human review first. "No piece of advice or thinking will ever lead our company without human discernment," he says. "That is a guardrail for us."
The Human Layer Has Never Been More Important
Discernment is only the start. Other intangibles in Ryan's framework include taste, judgment, strategy, synthesis, relationships, and sensemaking. "Those things are still fundamentally, and will forever be, human." Nothing in that list gets easier to fake as the tools improve. If anything, these intangibles only get more valuable, because they are the part competitors with the same tools can't copy.
Ryan makes the same case about retention. AI can scale the process around a relationship, he says, but it "cannot create trust inside one." It’s easier for a manager to build that trust once the repeatable parts are handled. When there’s room for coaching, that trust improves both performance and retention. He points out that reps coached weekly hit quota at 76%, but reps coached quarterly or less only hit it 47% of the time.
On that phone call with his mobile carrier, Ryan knew that part of the exchange needed to stay human, and he made sure it did. That's the same call every leader has to make on purpose each day.
Transcript
Ryan Estis:
We all have access to the same tools and technology, so it isn't the technology that's differentiated, it's the application of the technology. You have to discern based on your business about how to leverage this and scale it across the enterprise in a way that contributes to the growth agenda of the business. It is a tool, and I think ultimately what's gonna provide the advantage is the human layer and the application of the tool.
Gemma Versace:
Hey everyone, and welcome to Keep Moving Forward, the podcast from X-Team for tech professionals who are passionate about growth, leadership, and innovation.
I'm your host, Gemma Versace, Chief Client Officer at X-Team.
Every organization has access to the same AI tools now. The technology has stopped being the differentiator. What separates the companies pulling ahead from the ones falling behind is how much they invest in the humans applying that technology, and how much discernment they bring to what gets automated and what doesn't.
Today I'm joined by Ryan Estis, keynote speaker, author, and advisor to some of the largest companies in the world on growth and human-centered leadership. He co-authored the book Prepare for Impact with his brother Chad, and he advises Fortune 1000 companies on how to grow through their people, not around them.
We get into what Ryan calls authentic intelligence: automate the tangible, humanize the intangible. He explains why the return on AI investment is a human problem, not a technical one. He shares how his own business now manages a mix of human employees and named AI agents, each with a manager and a coaching plan. We also talk about what's changing in retention and team building as talent mobility becomes the norm, and why he believes the biggest lever for growth still runs through human coaching, not technology.
Let's get started.
Thank you so much for joining us, Ryan. I'm very much looking forward to this conversation.
Ryan Estis:
So am I, Gemma. Thanks for having me.
Gemma Versace:
Pleasure. Let's get straight into it. Every time we talk about AI on this show, podcast, it quickly turns into a conversation about trust and change management. And I'm excited to have you here because you are a bit of an expert on that, and I can't imagine that you get to be an expert on that without surviving a good bit of disruption yourself.
Walk us through your story.
Ryan Estis:
Yeah, so just a little bit of context, I guess, background on me. So I started my career entry level sales and was working in advertising communications, worked my way up through that organization. The last four years I was there, it was a large enterprise, a division of a Fortune 500 company.
I was the chief revenue officer, and then in the midst of the Great Recession, I decided to exit the building with my laptop and start anew and reinvent myself at the kitchen table. So I think, yeah, it was certainly a disruptive time in the world, but I think it was the right time for me to do it personally.
And really I've never looked back. I mean, I've been a small business owner since then, and today, publish books, give keynote presentations, and do advisory and consulting work for corporate clients around growth.
Gemma Versace:
Fantastic. So a very busy man, and we are very pleased to have you here talking to us today. You talk a lot about human-centered growth. Give us a one-sentence definition on that if you can.
Ryan Estis:
Yeah, that companies grow when people do, and it's an imperative, especially today, to invest in the human foundation of the enterprise. And I think that is specifically true when we're talking about technology and artificial intelligence.
Gemma Versace:
I love that saying that companies grow when people do. And it is something that I think a lot of businesses, unfortunately, forget to proactively invest in their people and make sure that they are bringing opportunities for upskilling and cross-skilling and professional development to their teams.
What does human-centered growth look like in action? Can you give us a couple of examples?
Ryan Estis:
Yeah, I think it very much is an emphasis, a leadership and cultural initiative, but it's also a philosophy. And I'll give you a couple specific thoughts around this. I mean, you know, about half of the workforce would say that their company is investing more in the technology than they are in their own development. So I think it's prioritizing the development and growth of the individual and expanding both the capacity and capability of the organization. So that's how we think about it and what we prioritize.
And, you know, the two sort of domains that I spend most of my time focused on are the leadership of the organization and the commercial function of the organization. We believe those are the two biggest levers to sustainable, profitable growth, and that the human-centered approach, especially, is a competitive advantage and an accelerator of performance and growth.
Gemma Versace:
Fantastic. If you don't mind sharing, do you have any particular real-world examples where you have seen, you know, that commitment to human-centered growth work really well and be able to provide that exceptional value to the business?
Ryan Estis:
I have several. So, you know, in the book, I published eight, I'm going to 18 months ago, something like that. You know, I wrote the book with my brother, Chad. And Chad's a practitioner. He runs the business of the Dallas Cowboys, and he's a human-centered leader, and they have a phenomenal human-centered culture.
And so if you think about the value of the business, it's a pretty incredible story. I mean, I think Jerry Jones purchased the Cowboys for $187 million. Today, they're the most valuable franchise in not just the NFL, but in all of sport, at over $13 billion. And the book, there's a great case study for the book, plus it was fun to write it with my brother. But, you know, we unpack a great narrative around sort of their approach, not to the football team, but to the business and the culture that I think has created exponential value.
I'll give you another one too. Another one that I love. It's a company that I've worked with, CBH Homes.
They're Idaho's number one home builder, and no coincidence or surprise, they're also Idaho's number one place to work. And, you know, those two things are interdependent. So their vice president, who really is their chief evangelist, called Champion, Rhonda Conger, is absolutely a human-centered leader, and she invests so heavily in the development, in the talent, in the relationships, in the training, and the culture. They're a very innovative company, a very disruptive company in their category, and they've had incredible growth and exponential success, I think, as a result of establishing sort of that foundation in the business.
And it cascades top down. You know, those two are senior leaders, they embrace the philosophy and a way of leading teams and building culture and nurturing culture that I think has led to terrific performance in the business.
Another one that I love, one more I'll give you, and I think he's an extraordinary human-centered leader and somebody that everybody may know, Satya Nadella from Microsoft. And so you think about the extraordinary growth journey in market capitalization from, you know, $300 billion when he started over a decade ago to, you know, over $3 trillion today.
And he has a very simple human-centered philosophy that he applies to the culture and leadership. It's model, coach, care. So the leader is expected to uphold the cultural standards, right, to model the right behavior, to really be a coach, right, to take responsibility for investing in the capability, the talent, the people around you to build high-performing teams.
And then I think the care piece, it's really then making an investment in the person. It's understanding, having situational awareness, emotional intelligence. He is known for the quote "EQ trumps IQ," and investing in the whole person, understanding who the person is, what they prioritize in their career, where they wanna go, and helping them get there.
So I think those are three examples from three very different industries that are getting exceptional performance by embracing the human-centered philosophy and principles.
Gemma Versace:
No, they are some absolutely terrific examples that you've shared with us, and thank you so much for doing so. Couple of things, I think those people listening to this podcast are feverishly writing down that model, coach, care tidbit that you've given. I think that's absolutely great advice and something too that could be a really good foundation for people out there wanting to be able to have more of a human-centered growth approach to their leadership and how they engage and support their teams.
And also, secondarily, to give you a shout-out for your book, "Prepare for Impact: Driving Change and Serving Others Through the Principles of Human-Centered Leadership," that you mentioned. You did co-author with your brother Chad, so for those listeners, we'll make sure that we link that in the podcast episode as well. What does authentic intelligence mean to you?
Ryan Estis:
Yeah. So, authentic intelligence, I think, is the right way to think about leveraging new technology, generative AI. So the way I think about it is, automate the tangible, humanize the intangible. I think there's a lot that's being written today about soft skills and the emergent skills in, you know, the fourth industrial revolution, how they're becoming more important and prioritized.
And I think that's true, and a couple of examples that I think it was Ernst and Young that just announced they were going to invest a hundred million dollars in incentives around contributing through human skills that they identified as an imperative. And, you know, the World Economic Forum and their research identified 16 human skills that are gonna be mission-critical in the new economy.
So the technology is wonderful, artificial intelligence. I think it's gonna change everybody's life who's listening to this. And, you know, by and large, it's already changed the way we approach business, the way we work. And I think we're just at the beginning of that journey.
But to get the return on the investment, to maximize its capability, the human layer has never been more important. And I think that's how we also co-create with the technology, but also how we think about organizing teams to accomplish work. And therein lies the challenge.
And I think if you think about it, obviously the technology can accelerate certain types of work in workflows, and what it hopefully provides us is the capacity to focus more of our time and energy on the things that are uniquely human: discernment, taste, judgment, strategy, synthesis, relationships, sensemaking. Those things are still fundamentally, and will forever be, human. And so I think it was McKinsey had this statistic, like, only 18% of a leader's job can be automated.
It's a human job. And so I think that's how I think about it. You wanna create the capacity to elevate the human capability and contribution.
Gemma Versace:
Absolutely. And I think that, you know, you've just argued that the human skills that AI can't replicate, obviously being like things such as discernment and empathy, are the real competitive advantage. How do you make that case to a leader that is under pressure to automate absolutely everything? And can you give us an example of it actually playing out?
Ryan Estis:
Well, don't automate everything. I think that's what we're learning, is that there are certain things that humans require. And so you have to have discernment about what to automate. And, you know, just personally, I'll tell you, right before we got on this podcast, I had to call it, my mobile carrier, AT&T Wireless, right?
And I get into their automation. What's the first thing I do? Human. Representative. Human. I had a complicated issue, and I wanted to talk to a human. Stop making me go through, and it's so frustrating. And I think, extrapolate that out to so many things, you know, you see a lot of these AI projects failing. And it's because I don't think we've applied the correct rationale or thinking, and there's a learning curve, right? We're all going through this journey together. I had false assumptions about what AI could provide my business, and we're fully immersed in this. You know, I always say, like, my company's a great test case.
I mean, we are fully invested in building our own agentic platform, in leveraging agents across every workstream in our business, and no piece of advice or thinking will ever lead our company without human discernment. That is a guardrail for us. The other thing I think it's important for leaders to understand is that the piece of the work that you're automating, in the future, leaders are gonna have to manage human performance, right? That's the coaching piece. And we're also gonna have to manage agent performance, and they require development and feedback and training and guidance and guardrails and support, just like our humans do. So think about your dual workforce, your humans, right?
That's like Mike, Connor, and Lynn, and our agents. And, you know, you could give your agents names, you know, Terry, Molly, Steve, and Bob. And those are our agents that are assigned specific tasks in our workflow, and we make it very clear in my business, I have responsibility for managing the humans.
Connor, our Chief Strategy Officer, is onboarding and managing our agents, and it wouldn't be unusual for me to have a one-on-one with Connor to ask him how the agents are doing, how they're performing, and where we need help. That's an unusual way to think about structuring the future of your business, but as a small business owner, you know, that's how we think about it. I've grown my workforce exponentially this year, in the 18 years I've had the business, faster than any time in the history. It just hasn't been with humans.
And so I'm a small business, but I support a lot of large Fortune 1000 companies. And I get to sit in the meetings where I hear them talk about how to leverage artificial intelligence. And I think the way we're talking about it, this idea of authentic intelligence and having discernment about what to automate is so critical.
And the companies that are getting it right and are winning, think about it, 74% of AI's economic value is being captured by just 20% of the companies. And I think what those 20% of the companies are doing differently is they're thinking about how to leverage artificial intelligence in pursuit of growth, not to just save cost or save time. So you have to actually establish a foundation.
And I think one of the biggest challenges is that the technology, what's different about AI, is the pace of the iteration. I think, you know, this is our first year with a proprietary AI platform, and I think we're on our 11th or 12th iteration of the platform. And so, you know, imagine, there's been nothing that sort of, you know, advances in capability at this kind of speed. And then what does it require of the humans? Constant iteration, constant adaptation, constant learning, constant development. So the pace of change is accelerating, and it's never gonna be this slow again.
So this is a new way of working. This is a new way of learning, and it is a new way of leading. And I think that is why we emphasize the human-centered philosophy, the constraint around getting ROI is not technical, it's human. You know, employees are starving for the support and the development to get return on this. And I think we have to give it to them.
Gemma Versace:
You've previously said that when every team does have access to the same AI tools, that the outputs start to converge. And volume without differentiation is just noise. How do you see that playing out right now, and what should tech leaders do about it?
Ryan Estis:
We all have access to the same tools and technology, so it isn't the technology that's differentiated, it's the application of the technology. So I think, you have to discern based on your business about how to leverage this and scale it across the enterprise in a way that contributes to the growth agenda of the business. It is a tool, and I think ultimately what's gonna provide the advantage is the human layer and the application of the tool.
So, you know, from my perspective, yeah, as it becomes ubiquitous and commoditized, you know, and we all have access to the same tools and technology, you know, what's the opportunity?
And it's gotta be bigger than just time savings, right, or a little bit of capacity. A great product is still a great product, a great experience is still a great experience, a great relationship is still a great relationship, and those things aren't replaceable. And so, you know, that's why I say the human layer is still more important.
Now if it can help me be a better, more prepared salesperson, if it can help me accelerate or elevate my knowledge, my research, my thinking. If I'm getting more robust data, and I can give you a very specific example of this, if I'm getting more robust data and intelligence that helps me then do the things that I do more efficiently and effectively.
That's a win, because when there's capacity created, then I can leverage my time and talent to, you know, fuel the growth engine of the business. And I think when you get it right like that, and we're starting to see the earlier returns on that, I mean, we've been at this, very immersed in this, for a year, then I think you have an opportunity.
Gemma Versace:
You have also previously mentioned that AI can scale the process around a relationship, as you were also just kind of alluding to, then, as well, but it cannot create trust inside one. For leaders building distributed teams with a mix of internal and external talent, what does that mean for how they think about
Ryan Estis:
Sure.
Gemma Versace:
and integration as well?
Ryan Estis:
Well, look, retention comes down largely to the relationship you have with your manager. And so there's sort of a multi-layered question there, and I'm gonna make a few comments and give a very specific example, 'cause I think that'll be useful. So, first of all, I think we have to reorient our relationship and expectations around retention.
What I mean by that is talent mobility's here to stay. I mean, what is it? Gen Z, their average projected tenure with an employer is what, like, slightly under two years. Something like that, I may not get that exactly right, but, yeah, you know, look, I have interns, my last two interns, and I would tell 'em, you know, I worked for my first employer for 16 years.
They don't understand that. They roll their eyes like, what, 16? They can't get their mind around that. They see nothing wrong with having 10 to 12 jobs with different companies in their twenties. They're figuring themselves out. They're testing, they're trying to see what they like.
And so I've had to adjust my expectations. If somebody leaves after two years, instead of being frustrated and angry about that, just to recognize that's our new reality. So I adjusted my employment value proposition and the way I think about that, and the conversations I'm having. And if I tell somebody in my organization, when they join, hey, you know, I'm gonna really invest in you, and I wanna understand what you want outta your career and where you wanna go in your life. And when you're ready to make that change, come and let's talk about it, and let me help you get there. If I can't support that here, let's find the right place for you out there, and think about the response I get from that, like, this guy's gonna advocate for me to get my next job, or go work somewhere else, or go live somewhere else. And I get access to his relationships and his network and his coaching, not only while I work here, but for the rest of my career. That's my employment value proposition.
That's part of my offer, and the way I think about it, it's, I wanna leave, that's my EVP, leave them better. I wanna leave the humans that spend time here better than I found them, and I will support and advocate the people that committed and contributed to my business for the rest of their life. And it's been the most rewarding part of my career journey. We talk about this in the book, it's the idea of building a leadership family tree. You know, your family can scatter around, they can go out into the world and become who they're supposed to be. Leaders don't hold people back.
Human-centered leaders don't. They prepare them for what is next and their work in their life. You know, people have hopes and dreams, personal is integrated with professional, and that's all wonderful. That's the caring part. Get to know what's on their heart, where they see their life journey unfolding.
Be a coach, be a mentor, you know, young people. If they haven't figured that out, help them figure that out. Point 'em in the right direction. That's, I always say, leadership isn't a job, it's a responsibility, and it's not about me. It's about helping other people get where they wanna go.
And so it's been the most rewarding part of my career. It's not some big deal I did with a Fortune 500 company, or the book I wrote, or the speech I gave. It's the impact I had on the people I got to spend time with. You know, I think you look back on all this, life is relationships. So that's sort of the broad answer about retention.
But I'm gonna give you a specific answer about this idea of distributed teams and the part that is automated and isn't. So, because we've leveraged generative artificial intelligence, and I think we've established a foundation in our platform that we call Growth Sense, it has accelerated the impact of my coaching exponentially.
I'll give you an example. You know, we do a lot of sales calls virtually, right, on Teams or Zoom, like a lot of distributed sales organizations do. And we can take a sales call, a recorded sales call or a transcript, and we can put it into our platform, Growth Sense, and immediately, against established criteria and benchmarks for a quality call, based on our sales motion, we can immediately get the seller a performance scorecard. Tell the seller what they did really well. Tell the seller some areas of opportunity or things on that call they missed. I also then get a coaching guide based on the quality of that call.
So, real time, if I had 50, and I don't, but if I had 50 salespeople across the US, my management team and the sales team would be getting precision feedback on every sales motion. The process, how fast do you think that skills people up? Both, both the individual contributor and the leader-coach. And so I see myself exponentially improving as a coach.
My salespeople are developing themselves real time, and yes, still have to move into my one-on-ones, my weekly coaching conversations, and use my human skills, ask questions, be present, listen, provide support, provide feedback that isn't critical, that actually enhances the commitment, contribution, and performance, but doesn't defeat people. Those are fundamentally human leadership skills, and I think coaching as a capability is not developed nearly enough.
I think that sort of the cadence of feedback, how often we give it, how we give it, what those conversations look like, is a real area of opportunity for leaders across corporate America.
Gemma Versace:
Yeah, some absolutely amazing advice in that answer, as well as some really fantastic real-life examples to be able to highlight what really, you know, good and great looks like. And you've hit the nail on the head, too. I think a lot of people, traditionally, I think industry and businesses are getting better at it now, but in the past we have always promoted our best people, or our best performers, our best individual contributors, that don't necessarily come with the right or necessary coaching and leadership traits and characteristics as well. So being able to be so conscious of that...
Ryan Estis:
Gemma. That was my story. It was horrible.
You know, we talk about it in the book. It happened to both Chad and I. We were really good salespeople, and we were top-producing salespeople. What does a big company do with their top-producing salespeople, right? Hey, you know, what a great year, we want to promote you into management. I was all excited, and the training I got was just, teach everybody in the region how to do it like you did. And I was...
Gemma Versace:
Exactly, yes.
Ryan Estis:
I ran roughshod over people. It was a disaster for the team, the region, and me. And by the way, the company, now you took a territory, one of the top-performing territories, that started to decline. You took a top-producing sales rep and put him in a role he was ill-equipped or prepared for, and I lost my confidence. I was questioning, people started questioning me for the first time. And this is such a common issue, and reps get frustrated. I mean, you know, I don't want to drop tons of statistics in this, but some of these are top of mind, 'cause I work in the commercial function.
I mean, 40% of sales reps say they are rarely or never coached. 45% of reps rate the coaching they receive is below average. And the reps who are coached weekly, 76% hit quota. Like reps who are coached quarterly or less, which is half the reps, only 47% hit quota.
I don't know what else we need to see to understand how important this is, but I was a terrible coach. No one taught me how to. I didn't know what coaching was. I, like, had to, and so that is a real skill that has to get developed and practiced, and you have to have principles around it, and understand what that looks like. And it's a two-way conversation, and it's collaborative, and you're trying to achieve alignment and buy-in and share best practices and transfer knowledge. It's a skill, and it's gotta be developed.
Gemma Versace:
Absolutely, absolutely. And I think I could not agree more, and very much looking forward to reading the book as well, because it seems like, for our listeners as well, that there would be an amazing blueprint in there to be able to help with a lot of the topics, a lot of the really important topics that we've discussed today.
I have thoroughly enjoyed this conversation, Ryan. But we do finish all of our podcasts with one particular question, is what keeps you moving forward? What gets you out of bed every day to keep moving forward?
Ryan Estis:
Impact. You know, when I think about today and tomorrow, I believe deeply in our human-centered philosophy, the model that we have, for both leaders and sellers. And I believe it because it changed the course of not just my professional career, but the quality of my life. You know, our model, the three sort of overarching disciplines, it's start with self. And I believe that is the key to fulfilling our potential, but also achieving a meaningful, fulfilling life. It mandates some level of introspection and self-awareness, commitment to confront the things that aren't working in our own career or life. The second one is connect in service.
Life is relationship. So much of fulfillment, joy, and meaning comes from what we contribute and the impact we have on others. And, you know, the last principle, momentum through harmony. And, you know, I'm committed to growth, but I think a lot of my career, it was growth through friction and conflict and some measure of suffering.
And I don't think that's the biggest accelerator of the growth. So I deeply believe in these ideas, because it became the fabric and the foundation for my career. And, in large part, and you'll see this in the book, my brother's career, we're very, very close.
We've had different career journeys, but we've worked in parallel, side by side, and shared a lot of our thinking and ideas, and a friendship has emerged out of it. But in the second half of that book, we unpacked the nine tactics of human-centered. It's very tactical, so there's a lot to do, and a lot of self-reflection, and questions that people who are listening potentially could use.
And so I have a commitment to share these ideas in service of the impact that I can create. And I'll close with this. You know, I believe words and ideas delivered with passion and precision change the world. It's the only thing that ever has. And so my life is in service of advancing others through my words and ideas.
And I appreciate the invitation today to share, you know, my passion and a few ideas with you. It means a lot.
Gemma Versace:
Well, thank you. Thank you for sharing all your wonderful ideas and thoughts and recommendations, and sharing, you know, being so open and transparent, too, around what your own personal and professional journey has looked like and where you are today. But thank you so much, Ryan. This has been a great discussion, and I'm sure our listeners are going to be very enthralled to listen to this. But thank you so much for joining us.
Ryan Estis:
Thank you, Gemma.
Gemma Versace:
Every company in your category now has access to the same AI models. Ryan says that this is exactly why the tools themselves stopped being the advantage.
Ryan has a line he uses for this: artificial intelligence scales volume, authentic intelligence scales value.
When everyone automates with the same technology, the outputs start to converge. What doesn't converge is what you've actually built and lived: the customer patterns you've noticed, and the judgment earned from deals that worked and deals that fell apart. That’s Authentic Intelligence. The technology can accelerate your thinking, but it can't replace the proprietary understanding that makes your output yours instead of generic.
That has a direct implication for how technical teams get built. The value isn't in who deploys AI first. It's in who retains the people and the context long enough for that knowledge to compound instead of resetting every time someone rotates off. Speed is table stakes now. Precision grounded in something only you know is what actually wins.
That's a leadership call before it's a technology one. The organizations pulling ahead aren't the ones with the best models. They're the ones treating their own accumulated judgment as an asset worth protecting.
Join us next time for more conversations with technology leaders who inspire us to grow, lead, and innovate. You can find us on Apple Podcasts, Spotify, or YouTube. If you enjoyed this episode, please share it with your network.
We'll see you next time.