What we’ve learned (so far) by using AI in coaching

Fredrik Schuller, Head of Coach and EVP, shares how AI can augments leadership coaching by increasing consistency, accessibility, and scale.
March 25, 2025
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In this episode of the Fearless Thinkers podcast, Fredrik Schuller, Head of BTS Coach and Executive Vice President, shares how artificial intelligence can augment the leadership coaching process by increasing consistency, accessibility, and scalability.

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About the show

Most of us want to lead in a way that matters; to lift others up and build something people want to be part of. But too often, we’re socialized (explicitly or not) to lead a certain way: play it safe, stick to what’s proven, and avoid the questions that really need asking.

This podcast is about the people and ideas changing that story. We call them fearless thinkers.

Our guests are boundary-pushers, system challengers, and curious minds who look at today’s challenges and ask, “What if there is a better way?” If that’s the energy you’re looking for, you’ve come to the right place.

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Masami Cookson: Welcome to Fearless Thinkers, the BTS podcast. My name is Masami Cookson and our host is Rick Cheatham, head of marketing at BTS. On today's show, Rick has a conversation with Fredrik Schuller, who is head of BTS's coaching area of expertise. After 15 years in the San Francisco Bay Area, Fredrik returned home to Norway three years ago to better serve clients across Northern Europe. Fredrik's experience working with leaders at some of Silicon Valley's fastest-growing tech companies and the world's largest energy organizations has kept him on the cutting edge of building client results through people development. Hey, Rick.

Rick Cheatham: Hey Masami! What's been, gosh, coming across everyone's feeds wherever they look right now is what's going on with AI and what's going on with the different free tools out there that can just radically change what work looks like. I was looking at this crazy one where this guy loaded every Adele song and told it to write, and the thing was amazing. It's just kind of mind-blowing what technology's doing now.

Masami: I'm a huge Adele fan, so if it results in more music from her, I'm here for it.

Rick: Well, the terrible thing is it's maybe not more music from her, it's music from some random computer that's been programmed to sound like her, but still, it's good.

Masami: Woof.

Rick: With Fredrik today, we get deep into the power of coaching. AI can bridge the gap between those coaching sessions. It's a great chat.

Masami: Cool. Let's get into it.

Rick: Hey, Fredrik, welcome to the show.

Fredrik: Hey, thanks.

Rick: How you been, man?

Fredrik: Yeah, life is good. It's been a wonderful winter in Norway, so we have got lots of skiing and fun stuff going on here.

Rick: Oh, I'm jealous.

Fredrik: I made myself an initiative. I'm mid-40s now, and I got kids that are five and seven, and I decided I want to be the dad that learns really difficult stuff when he's getting older to be a good role model for them. So, I've been trying to take up something called wing foiling to learn to surf the wind on a hydrofoil, and it is so difficult and it's so rewarding. I just wear thick wetsuits and do it. So that's what's been in my blood boiling lately.

Rick: It sounds very intense. It sounds well above my capabilities. Like you, I do enjoy so much continuing to push myself mentally, physically. I think I've got almost 10 years on you but at the same time, I always kind of live in fear of stopping the new things and what life becomes like when it's just a series of pattern days.

Fredrik: So actually, Rick, this is something I learned through my own coaching experience: to find these new outlets. When I first got introduced to coaching was when I got promoted to my biggest role in my career and had a kid at the same time. It was in San Francisco and Jessica, who's now our CEO, she told me I would have responsibility for the West Coast, and I was just having Oscar at the same time. And that was really difficult. It went downhill for about a year until I asked for help. And when I did ask for help, I got a coach and it was truly transformative for my life and how my relations with others, how I thought about the world, how I was able to find a balance in life, but also have really high impact and performance on the job. So that's what led me into coaching in the first place. And also what sparked a lot of the ideas for what we'll talk about more today.

Rick: I remember that moment for you, my friend— transitioning from zero kids to one. As a father of four, I still would argue that that's the toughest transition. And, actually, I didn't know until we were preparing for this that it was actually your coach that really helped you pivot from being stressed out and constantly running from thing to thing to being able to be a better leader. And it sounds like a better father. So that's awesome.

Fredrik: Yeah, the thing about coaching that's so unique to me is it's not just helping me. It has this Multiplier effect. So, my days were better, I had better interactions with people, five to 10 to 15 people around me every day had a better life experience because of it.

Rick: Wow, that's an awesome way to think about it. We don't often think about the broader net that is cast when somebody is performing better and managing their stress better and able to prioritize their day better. If you wouldn't mind giving us a little bit more perspective on what great coaching looks like.

Fredrik: That's a big question, Rick because we can spend the next hour on this topic itself. But if you think about kind of the history of coaching, it used to be available to only executives at really high prices, 20 to $30,000. And it would be only the people at the top of the house also very much based on the processes that that coach felt comfortable with. Our point of view is that how can we make this incredible way of learning, an incredible way of developing available to the thousands and the many and not just a few?So, we worked on finding ways to make it vastly more affordable and vastly more scalable. We did research on 150,000 coaching conversations to figure out what is it that's coming up, what are the most common issues that are coming up during coaching journeys? And what we found was that there were a series of mindsets that came up over and over and over again. And one of the problem areas that we also had initially when we were scaling was that a coach in Asia might have done a different approach than a coach in Europe. So, when we were trying to create consistent quality around the globe, we started creating our own coaching methodologies. If we can change someone's mindset and reveal underlying mindsets around different approaches, we can shift behavior much faster.

Rick: You said something quickly: “Hey, these are the mindsets.” To me, that's a very important word that often means different things to different people. Are you talking about just limiting beliefs potentially? Are you talking about just perspective on ways of working, both, something altogether different?

Fredrik: Oh, man. You're asking me to define mindset?Rick: That's what just happened.

Fredrik: That's what just happened. Well, in the simplest sense, our mindsets are the beliefs that we hold around the world that forms the way that we behave. So those can be around work, those can come from our childhood, those can come from recent interactions… Or it can come from experience from all walks of life. And the way that we view the world and the way that our mindsets drives behavior, sometimes that's productive and sometimes that's limiting.Rick: Cool, yeah, I've spent most of my career coaching salespeople when it comes to how, and when I've coached, and I've always said, salespeople have to be true believers or they're evil. Meaning that if I can convince you to separate yourself from your money for something that you don't necessarily believe in, that's evil. But the best sellers are the ones that tend to believe that what they're out there doing is what's best for themselves, their company and of course, their customer. And so I've definitely seen the power of mindsets either really accelerating business outcomes or really holding them back.Fredrik: You also have other examples of that. Many leaders that take on a leadership role for the first time may have a mindset that they need to have all the answers, and they need to figure it all out instead of having a mindset that that's what the team is for and we're gonna figure this out together.

Rick: Oh, it makes all the sense in the world, for sure. Well, so let's skip to the second half of what you said, which was scalability and how you and your team were beginning to use technology to scale coaching even more or make the coaching interactions for the existing populations even better.

Fredrik: Yeah, it's a really interesting question. And my journey into this started when I took over the role as heading coach within BTS and I decided to do a new coaching journey to experience what the current customer experience would be. Throughout the six months I was doing it, I kept mapping how I was feeling about the journey, highs, lows, emotions, needs, wants at any stage. I had bad experiences, I had great experiences, I had mediocre experiences throughout the time. But the first thing I noticed was that it was up and down and it was a very predictive pattern. Every time that I had a meeting with my coach, it was absolutely fantastic. And then it just started dipping. And very often in the coaching conversations, we were talking about a specific interaction or a collaboration I was having with someone but I felt like so alone in between. I wanted more support from my coach. And I realized that a coach that coaches many people can't know about everything that I got going and even though we might have talked about this interaction, she couldn't be there or send me notes right before every time.So when I shared this with the team and we started looking at like, what's going on here? We realized that kind of a man-machine relationship might become really, really helpful in this situation. So that's where we came up with kind of an augmentation of AI to help the coaching between the coaching sessions, because there's some things that are really sacred about the human-to-human relationship that you get as a coach, but there's many other practices that you can be helped by an AI in between the sessions.So let me give you an example. Like one of the things that 80% of our coaching journeys touch upon is being at my best, being resilient and being resourceful, more resourceful in how I operate. And the big mindset shift is for people to go from, “Triggers happen, and I need to get rid of the triggers that upset me and triggers my amygdala,” to being, “Well, triggers will happen every day, but I'm in control of my emotions. And we have a process to help you get out of a triggered moment and start using the prefrontal cortex and be at high-quality thinking.”Usually, people would experience that in the coaching session with a coach. That process is called ETC, it's about the emotion, the truth and the choices that you have in that situation. And it's really helpful and you have a big “Aha!” and like, “Oh my God, I had no idea that I could help myself become more resourceful in these situations.” But it's really difficult to do, and it's maybe three or four weeks till the next coaching session.We've figured out how to then give you a bot that can help you through that process every single day or every single time you're triggered so that you can self-monitor and self-help yourself over time, which is the ultimate goal of coaching. You shouldn't become addicted to your coach. The coach should help you to become more self-reliant over time.

Rick: If I have a boss that's a great coach, being able to self-manage, I would assume, is always the very, very best outcome.

Fredrik: I agree. And then what's interesting is we've been testing this further too is that initial intention of this AI was to be able to help you in between coaching sessions. But what we start to realize is that it might have different applications too.For example, we do pods and workshops to also teach people how to become better at managing their state and being resilient and being at their best. And traditionally now, we've either tried to get people to get it through demonstration or for them to practice with someone else who doesn't know how to do it. So, we've been experimenting with using the bot to give people an experience with having that process for the first time. And what we're seeing too is people are more honest and open up way more with a bot than they would do with a coworker, for example.

Rick: Wow, I actually never, never thought of that, but I think we as humans in general can't help but try to manage our persona. So that is a surprising bit of information, but actually when I think about it, quite intuitive.Fredrik: When you think about learning coaching therapy, like any sort of help that you have, it's usually at a pre-scheduled time, but when you're having your issues, they happen anytime during the day. They can happen at 8 AM, they can happen at lunch, they can happen at night.Rick: Yeah, of course it does. Of course it does. What else is on the horizon when it comes to AI and coaching?

Fredrik: A different way of doing, getting multi-rater, a 360 feedback? I mean, we've all experienced getting a traditional 360 model, where you get rated across 50 behaviors from the people around you. And I would call it moderately helpful but when I've debriefed them in the past with a coach, it's been frustrating because you see, “Hey, I'm lower on this one dimension” — let's say strategic thinking. Then it starts becoming like a guessing game. What's the situations? When did this happen? You don't really know because there's very little written or deeper feedback around it other than you're scoring lower on this one single item. So I want to kind of get around that.When I had my coaching experience I shared earlier, I got a verbal 360, which was amazing. My coach interviewed about 10 to 15 people around me. And it was incredible. I laughed, I cried, I was ashamed, I was proud, all the emotions when I saw it. And it became very clear the things I could do to have a better impact on the people around me. And that cost $10,000. So it's not scalable, but what we've figured out with our NLP and AI is how to actually do that with a bot instead. So we're, again, trying to take something that was available at a really high end and making it available to the many and try to help the person providing the feedback to give more useful feedback throughout the process.

Rick: We recently had Peter Mulford [on the podcast] talking about AI in general, but to hear very, very specifically how it can make a difference in everyday life, how it can take something that most people would say is good and important but also make it possibly more accurate based on that thing we were talking about before where people aren't as guarded when speaking to a bot as they would be speaking to another human and more available. I mean, I think the more people that get the right coaching to perform better, the better.

Fredrik: Yeah, and there's a couple of things here that we're doing that I think also can make a big difference in longer term. The first thing is, anytime that I've received an assessment, I'm not in a good place before I'm about to open that file. My stomach is clenching. I'm nervous about what people are gonna say about me. It does not come with a lot of great emotions.So one of the other things we're experimenting with is actually to create a cheerleading squad for you practically before you open it. So all the raters are actually encouraged to do an encouraging video to say, “Hey, Rick, love working with you and I've given you some feedback that can make us even better together, and I'll be here all the way helping you.” So you get to see all these videos of encouragement of the people that have rated you prior to opening the report. So you're getting to an emotional state where you're feeling supported rather than judged because I think the whole feeling of being judged is not like a great part of assessments.

Rick: I would probably take some of those videos and convert them to ring tones just for the hard days.

Fredrik: And then the other thing that I think when you're looking at someone's behavior, it's rarely an isolated issue. It's usually a collision between multiple people. Yet when we do multi-rater assessments and start coaching journeys, for example, you put the assessor clearly in the judge seat. We're working now on finding a way to switch it throughout the assessment to ask the question if they're willing to reflect on their role in this behavior and go deeper and say, “Hey, might I actually have some part in Rick behaving this way or you behaving in this way?” And why that's interesting to do is that if you can get two people to work on an improvement together versus one that you're much more likely to make an improvement on that.And the way that we came to this insight was there was someone on my team that I was very frustrated with not stepping into the forward-looking strategic role of the product management that he was doing. And I gave the person feedback and he got quite upset with the feedback. And it was hard. We went through this a reflection process together on like how can we help change this. And at some point in time, he said, "You know, Fredrik, there's no space for me to do what you're asking me to do because when you see me not doing it, you jump in and you do it every single time and there's no space and you do it so fast. There's no vacuum for me to step into." So how can we bring that into the way that we get feedback from those people around us and into the rating so that we can switch the rater from being a judge but also be a reflector on their own role on enabling or making it difficult to do the new behaviors that you want from others around you.

Rick: I can see how that would potentially shift completely the conversation, how we address the things that are gaps and potentially accelerate the positive outcomes.

Fredrik: Absolutely. So I'm really excited to be testing these things over the next six months. Every time we try something, we just learned so much new what's working and what's not working, and how we need to pivot and what needs to change.

Rick: Love it. Well, hey, my friend, thank you for giving us so much time today. I could talk about this stuff forever.

Fredrik: Yeah, thanks for having me.

Masami: If you'd like to stay up to date on the latest from the Fearless Thinkers Podcast, please subscribe. Links to all of the relevant content discussed in today's podcast are in the show notes or you can always reach us at bts.com. Thanks again.

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Polish is no longer a hiring signal. See how organizations use role-relevant simulations and predictive validity data to hire for high-stakes roles.

Candidates now arrive at interviews pre-coached by AI, with their resumes optimized to pass every checkpoint. Polish has stopped being a signal. The traditional hiring process was built to read exactly the cues that AI is now best at producing, and the signals hiring managers once relied on have weakened as a result. And for roles where the wrong hire carries real business consequences, losing the ability to tell who will actually perform is not a minor inconvenience. It is a material risk, and it exposes the business to unnecessary turnover, reduced performance, and heavier investment for talent growth and development.

So how do you observe the behaviors that matter most, before someone is in the role?

Not by asking better questions, but rather by putting candidates in situations designed to elicit that behavior.

The limits of predicting from paper

Credentials tell you what someone has done. Structured interviews tell you what someone says they would do. Neither lets you observe what they actually do in the moments that count.

This distinction matters most in client-facing, relationship-driven roles, where the performance gap between a strong hire and a weak one plays out in real business outcomes (revenue, retention, client growth). Organizations that hire at scale in these roles carry that gap across hundreds of decisions at a time.

The better approach is to watch candidates do the work before you hire them. Put them in simulated, role-relevant scenarios, and pair the simulation with a second, different kind of measure so no single method carries the whole decision. That combination is what lets you evaluate real performance before anyone is in the role. Organization-specific simulations provide a clear read on who is ready and capable of performing on day one. In a world of AI-supported candidate signals, the use of simulations makes the process harder to prep for. It is harder to fake. And, when designed well, it is substantially more predictive than other hiring methods.  

What counts as evidence

Claims about predictive power are easy to make. Evidence for them is rarer than you would expect.

A predictive validity study, the kind that links pre-hire assessment scores to how someone actually performs once hired, is some of the hardest evidence to produce and the rarest to see. Many assessments are validated against proxies: another test, or a theoretical model of the role, rather than real results on the job. Connecting scores to concrete business outcomes and doing the statistical work to show the link holds, takes years of shared data and a level of commitment from both the assessment provider and the client that most partnerships never reach. That is precisely why it is worth asking for. A provider who can show how assessment scores track to training completion, retention, and first-year output is offering something categorically different from one who can only show a correlation with another test.

Why simulation holds up where other methods do not

When a candidate sits across from a trained assessor (someone playing the client or prospect on the other side of the conversation) and has to work through a real situation, they cannot rely on a rehearsed answer. The scenario is specific. The stakes feel real. What you see is close to what you would get on the job.

That is the value of simulation-based assessment: it does not test what candidates know about the role.

It shows how they use what they know when a real person is on the other side of the conversation, before the stakes are real.

For roles that carry significant business responsibility, this distinction is the whole game. The cost of the wrong hire in a high-stakes client-facing role is not just a missed quota for a quarter - It plays out in relationships that do not develop, clients who leave, and productivity losses that compound over time. Getting those hiring decisions right, at scale, with consistency, requires methods that are built for predictive accuracy, not just candidate experience or hiring speed.

What this means for how organizations think about hiring

Most organizations are still optimizing the wrong things in their hiring process. They invest heavily in employer branding, application flow, and interview structure, all of which matter, but less in the core question: does our hiring process actually predict who will succeed in this role?

AI has sharpened the stakes here. If every candidate can present as polished and prepared, screening based on presentation becomes less useful. What holds up is direct observation of the behaviors that the job requires.

A few principles worth building from:

  • Measure what the job requires, not what is easy to measure. Cognitive tests and personality questionnaires have their place, but they do not look much like the job. The closer the assessment is to the actual work, the better it predicts performance in it.
  • Ask what your assessment predicts. Training completion? Retention? First-year output? Most organizations cannot answer that question today, largely because providers have rarely been asked to prove it. It is a fair thing to ask for.
  • Take the human element seriously. In a simulation, a candidate is having a real conversation, responding in real time, navigating a situation that requires judgment. Even with the help of AI, that is hard to game. And it remains one of the strongest predictors of on-the-job performance available.

The data exists to make hiring decisions more accurate, fairer, and more directly tied to business outcomes. For organizations operating in high-stakes roles at scale, there is too much on the line to rely on methods that cannot hold up to that standard.

You may be interested in BTS’ thought leadership in the five talent shifts AI is forcing now.  

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La IA ya no es una ventaja competitiva en ventas. Descubre por qué el verdadero diferencial está en el criterio comercial, el conocimiento del negocio y la capacidad de construir relaciones de confianza.

La IA ya forma parte del día a día de las ventas. Hoy cualquier asesor puede llegar a una reunión con datos, tendencias e insights generados en segundos. Sin embargo, disponer de más información no garantiza conversaciones de mayor valor.

A través de una experiencia real con un consultor comercial, este artículo explica por qué la inteligencia artificial funciona como un GPS: ayuda a interpretar el entorno, pero no conduce la conversación ni entiende las prioridades del cliente.

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  • Cómo hablar el lenguaje del cliente genera credibilidad y diferenciación.
  • Por qué las relaciones B2B evolucionan hacia relaciones P2P basadas en la confianza.
  • Qué capacidades consultivas seguirán siendo exclusivamente humanas incluso en la era de la IA.

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Built for a different world: Five talent shifts AI is forcing now
AI is changing work fast, but many organizations are still using talent practices built for a different era. Here are five emerging shifts every talent leader should have on their radar.

You can't predict the future. You can be disciplined about how you face it.

That's where Future Storming comes in. Future Storming is a process for looking at the trends and signals already visible in the market, understanding how those forces connect, and thinking more clearly about where they may lead.

Recently, we've been applying that lens to talent strategy, running Future Storming sessions with talent leaders across industries to understand which forces are already reshaping how organizations find, develop, and retain the people they need. When you look across those conversations, one thing is hard to miss: AI runs through almost all of the most significant trends, and not as a future scenario. It's already reworking the talent systems most organizations have leaned on for years, often quietly, and often faster than leadership teams have had time to respond.

From these sessions, five high-likelihood, high-impact shifts have emerged as the ones every talent leader needs to be watching right now. What follows is what each of them may mean for your organization.

1. The frameworks most organizations use to define great leadership were built for a different era

Skills and competency models describe work that no longer exists in many roles or that AI now performs alongside, or instead of, humans. The gap between what organizations say they're selecting and developing for, and what the work actually requires, is widening quietly.

This creates a real problem. Organizations that don't redefine what great looks like now will be developing the wrong people for the wrong future optimizing for capabilities that are becoming less predictive while under-investing in the ones that matter most.

  • Rebuild leadership profiles from a future-back perspective, starting with where the business is heading, not where it has been.
  • Focus on the distinctly human capabilities AI cannot replicate judgment in ambiguous conditions, relational intelligence, ethical reasoning, the ability to set direction when there is no precedent.
  • Increase the use of behavioral observation in selection and development. It's the only methodology that shows how someone actually thinks and decides under real pressure.

The signal worth chasing isn't on a resume, it's in the room in how someone handles a real situation, under genuine pressure. It's the only place where someone can't prepare their way out of being themselves.

2. Human differentiators are the last mile AI cannot close

Judgment. Empathy. Creativity. The ability to navigate genuine ambiguity. These are increasingly what separates human contribution from AI output and they're precisely the things most talent systems have always found hardest to measure.

For a long time, organizations could afford to treat these as qualities that would emerge naturally with experience. That's no longer an option. The human differentiators are becoming the job. And most organizations still aren't measuring them well.

The methods exist behavioral assessment, simulation, structured observation. And AI is now making them accessible at scale in ways that simply weren't possible before. The question isn't whether to use them. It's how to deploy them thoughtfully, with the governance and transparency that -stakes talent decisions require.

  • AI-powered behavioral observation that surfaces how people actually perform in the flow of work, (i.e. judgement, decision-making, adaptability) not self-report
  • Assessment that evaluated how people work with AI, not just without it because that's increasingly what the role looks like
  • Simulation-based approaches that reveal thinking in action - the kind of evidence no credential or output can provide

3. The talent pipeline is broken

AI is displacing the early-career work that has traditionally served as the on-ramp into organizational life. Those tasks once gave emerging employees something more valuable than work product. They gave them foundational experiences, relationships, and judgment. The kind of judgment that eventually grows into leadership.

The impact won't show up immediately. That's exactly what makes it worth paying attention to now. Within three to six years, benches will thin and succession pipelines will require far more intentional investment. Organizations will find themselves asking why their internal talent isn't developing the way it used to.

The organizations that get ahead of this have a real opportunity to build something more deliberate, more equitable, and better suited to the capabilities the future actually requires.

  • Invest in real, simulation-based experiences, putting emerging leaders into the decisions and pressures that build genuine organizational judgment, not just task exposure.
  • Redefine what early-career development is, building toward the capabilities the future requires, not the ones the old job description described.
  • Build feedback into the flow of work. AI behavioral observation and practice AI role plays make continuous development possible at scale. The experience that used to happen informally has to be designed now.

4. People need to re-skill faster than any development model was built to support

People need to reskill faster than any development model was built to support.  Most organizational development infrastructure was built around a longer, more stable arc of skill acquisition. AI is compressing that arc significantly.

The implication isn't just that training needs to be faster. It's that the whole architecture of how organizations identify, develop, and deploy talent needs to be built for continuous recalibration not periodic refresh.

  • Prioritize adaptability and learning agility over static expertise. The ability to acquire new capabilities quickly matters more than the specific capabilities someone holds today.
  • Treat reskilling as a continuous organizational process, not an episodic program.

5. AI is absorbing leadership work and culture is losing it's anchor

This is the shift that's easiest to underestimate, and hardest to recover from once it arrives.

Culture is what people see leaders do. The behaviors leaders model how they make decisions, how they show up in hard moments, what they choose to reward and what they let go are how organizational culture gets transmitted. It doesn't travel through stated values. It travels through visible human behavior.

AI is absorbing the work that used to make leaders visible as humans making choices. Performance reviews written by AI. Communications drafted by AI. Coaching conversations mediated by AI. When the distinctly human work disappears, so does the signal. People don't know what to watch anymore. And culture which depends on that watching starts to fray.

The organizations that navigate this well won't be the ones that use less AI, they'll be the ones most intentional about which leadership behaviors remain visibly human, and why.

The behaviors that held culture together need to be rebuilt around what humans uniquely contribute now and that starts with getting the success profile right. That's exactly what the Future Ready Profile is built for.

Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.

  • Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
  • Reinforce organizational purpose and human-centered culture as anchors.
  • Treat culture as something you design, not something you inherit.

What this means

The organizations that navigate this well won't be the ones that adopted AI fastest, they'll be the ones that invested just as deliberately in the human systems around it.

These five shifts aren't warnings. They're design problems, and design problems have answers. The talent systems that come out of this moment can be more intentional, more equitable, and more fit for purpose than anything we've built before.

At BTS, this is the work we're doing every day. If you'd like to think through what any of it means for your organization, we’d love to talk.

The thinking in this article was shapped by Future Storming sessions, including a SIOP 2026 workshop, and by ongoing conversations with talent leaders navigating these shifts in real time.
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Explore the forces quietly reshaping every attention driven business, the real threat facing Hollywood from AI, and the impact of infinite content creation.

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Whitepapers
July 24, 2026
5
min read
Applied AI field guides
Four practical guides for building AI capability, mobilizing leaders, and navigating the moments when AI innovation gets difficult.

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Whitepapers
June 25, 2026
5
min read
BTS 2026 AI pulse survey
Read the original BTS research from nearly 400 leaders on AI adoption, workforce readiness, training gaps, and governance.

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Whitepapers
May 4, 2026
5
min read
From AI literacy to adoption (ES)
Explora cómo la alfabetización en inteligencia artificial puede impulsar una adopción real y orientada a impacto en un entorno cada vez más complejo en España.

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News
August 17, 2026
5
min read
Preparing Leaders for the Moments That Matter

How moments-based simulations and AI role-play help leaders practice high-stakes conversations, build real behavior change, and give L&D predictive insight into performance.

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News
August 14, 2026
5
min read
BTS and Clients Win 72 Brandon Hall Group Excellence Awards

BTS and its clients won 72 Brandon Hall Group Excellence Awards in 2026, the company's highest total in recent years.

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News
August 13, 2026
5
min read
The Officer | El 95% de las empresas no rentabiliza su inversión en IA

La adopción de inteligencia artificial crece entre las compañías, pero convertir esta tecnología en resultados tangibles sigue siendo uno de los grandes retos empresariales.

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