Disconnect between talent priorities and executive expectations

A while back I heard a few people talking about public speaking. Person A was talking about their anxiety about making presentations. Trying to make him feel better, Person B said, “Public speaking is just like riding a bike!”

That got my attention.  It seemed to be a comforting little sound bite. The only problem was that it was wrong.  Public speaking is not like riding a bike. But it got me thinking about leadership communication and learning in general.

What does it mean if we say that something is like learning to ride a bike?  We’re saying that it’s a skill that initially may seem pretty difficult to learn… but once we figure it out, we can do it successfully without thinking—even if we don’t do it at all for years at a time. It’s the reassuring idea that you’ve acquired a skill that you will never lose.

There’s no question that we all learn many skills that are like riding a bike. Driving is a good example. Most of us were white-knuckle drivers when we first got behind the wheel, but what about now? On long highway drives, I sometimes snap out of a daydream and realize I have no memory of anything that happened on the road in the last 15 minutes. That’s because I don’t have to think about driving when I do it—not unless there is intense traffic or some other unusual circumstance.

Many other skills are the same—reading, typing, doing simple math in your head, and so on.   But quite a few sophisticated skills are quite unlike riding a bike.  In other words, there are skills that are definitely learnable and where your level of mastery can improve substantially. However, you’ll probably never be really great at these skills without vigilant, ongoing practice, preparation, reflection, and reinforcement.

Some examples that come to mind with leadership communication: Selling, managing change, inspiring your teams, and, yes, public speaking. What’s so different about these areas?  A few things:

• They involve an audience. If you were making your first speech in several months or years, would you find that you could do it almost unconsciously? I couldn’t. You can never be on auto-pilot when you’re delivering any sort of message to an audience. Just as the saying goes that you can never step in the same river twice, no two audiences are ever the same—even if you’re speaking to your internal teams each quarter. All sorts of circumstances change regularly, and you have to consciously adjust your message to address the ever-evolving needs of your audience.

• To maintain performance at a high level, sophisticated skills require ongoing practice. Yo-Yo Ma may be the world’s best cellist, but he estimates that he still puts in roughly 2,000 hours of practice each year. That’s an average of 5.5 hours daily.  If he stopped practicing altogether, he obviously could still play the cello.  But he wouldn’t be the best cellist for much longer.

• Skill mastery typically requires continual learning and reinforcement over time. Practice is critical, but it’s not sufficient. When you think about areas such as selling, motivating, and public speaking, there is always more to learn. There is evidence now that 90% of what we learn at a workshop, for example, dissipates within one year. To ensure the needle keeps moving in the right direction, you need to be a perpetual student. That may involve reading about the subject, hearing about it, going to a workshop, and getting expert advice. Whether you’re a tennis pro, a psychiatrist, or a VP of Sales, having a coach to help you with your real-time challenges can have an enormous impact to give you that reinforcement over time.

As a leader, you’ll no doubt hear from companies that want to offer you “quick-fix” solutions for perpetual leadership development challenges—areas such as executive presence, employee engagement, and public speaking.

But lasting, meaningful mastery is not a quick fix.  Sophisticated skills need reinforcement: A better motto for these skills would be “use it or lose it.” Because some things are quite unlike riding a bike,

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We have more tools, technologies, and data than ever, yet talent challenges are only growing more complex.

AI is reshaping how work gets done, shifting roles and the skills required. Remote and hybrid models continue to redefine how teams collaborate, lead, and build culture. Economic pressure is forcing organizations to do more with less, making talent efficiency a business necessity. And employee expectations are rising people want more purpose, growth, and flexibility than ever before.

These shifts aren’t just complicating the landscape; they’re rewriting the rules. For years, talent operated one step removed, supporting strategy, but not shaping it. That worked when business was linear and predictable. Strategy was set at the top, cascaded down, and talent filled the gaps. But that world is gone. Today, strategy shifts in real time. You can’t launch a new go-to-market plan, integrate an acquisition, or drive cultural change without people who are aligned, capable, and ready to deliver. And that readiness can’t be an afterthought, it has to be future-back.

That’s why a new kind of talent leadership is emerging, one that moves beyond standalone programs and focuses instead on building integrated systems. It’s a shift from reacting to problems to anticipating what the business will need next; from patching broken processes to designing for performance from the start. In this model, talent strategy is no longer fragmented. It becomes a connected ecosystem where hiring, development, performance, and culture work in sync, aligned to business priorities and built to deliver results. In this environment, integrated talent strategy isn’t just good HR, it’s how business gets done.

The AI revolution and its real-world talent application

AI is revolutionizing how organizations attract, develop, and retain talent. From automating performance reviews and job descriptions to enabling personalized career path development, the promise of AI is clear. However, many warn of a trough of disillusionment. Reality often falls short due to insufficient data, immature infrastructure, and misaligned objectives between business leaders, talent leaders and across functions. Without a clear problem definition, technology risks accelerating misalignment instead of solving meaningful challenges.

Organizations must first define the outcomes they seek whether efficiency, insight, engagement, or growth before deploying technology solutions. As AI adoption expands, success will depend on whether organizations match the right tools to the right problems. Having the discipline to make this evaluation will be game-changing when it comes to delivering impact.

Skills-based organizations: substance or semantics?

The rise of skills-based models reflects both a desire for innovation and a rebranding of long-standing HR practices. While the framing may have shifted, the underlying work—job analysis, development planning, and performance alignment remains constant. Many of today’s talent challenges aren’t new; they’re longstanding issues being reframed under new labels.

To move the conversation forward, leaders must avoid fixating on language and instead focus on what truly drives performance when it comes to talent models: clear role expectations, relevant development paths, and contextualized application of skills. Prioritizing the right core activities will deliver the talent performance you need, regardless of what it’s called.

Manager capability as the linchpin

The most innovative talent strategies still rely on a critical success factor: the people  manager. Whether it’s performance enablement, development conversations, or cultural reinforcement, execution hinges on manager capability. The success of most talent initiatives ultimately depends on whether managers are equipped to implement them effectively. Manager enablement is the operational layer that determines whether talent strategies deliver impact or stall. Managers also shape the day-to-day experiences that influence engagement, growth, and retention.

Investing in scalable, practical, and embedded manager development is essential to unlock the potential of any talent system. Currently this remains a challenge to plan and execute in many companies, while some at the leading edge have leaned into this and are making progress. Looking forward, organizations that prioritize preparing their managers for delivering what’s next will yield more rapid results for the business.

Integrated talent management: moving from silos to systems

Gone are the days when talent functions could operate in isolation. Today’s organizations require an integrated approach that connects succession planning, workforce strategy, learning, performance, and employee experience. For business leaders, the structure of HR functions is secondary to receiving actionable guidance that accelerates hiring and performance outcomes.Achieving true integration means moving beyond siloed initiatives and building a connected system where talent strategies reinforce one another across data, design, and delivery. It’s not about where each piece sits, but how well they work together to deliver consistent, business-relevant outcomes.

For example, when identifying successors for executive roles, the best organizations take a systemic approach. They leverage business leader input to nominate high-potentials based on a consistent set of standards. They add rigorous assessment of people and business capability (often using external support) to reduce bias, confirm potential for more complex roles, and identify gaps. They then employ tailored development, run in partnership among the business, talent, and learning with external support, to address identified gaps. This multi-faceted approach incorporates perspectives from the business and HR while leveraging best practices from inside and outside the company, and ties outcomes to business imperatives.

Bringing “Integrated Talent” to life in your organization

Integrated talent refers to the intentional alignment and coordination of all talent-related functions such as hiring, learning, succession, performance, rewards, and workforce planning under a unified strategy that directly supports business goals. Instead of fragmented programs running in parallel, integrated talent strategies are designed and executed as a cohesive system, with shared data, consistent language, and a focus on outcomes that matter to the organization. It’s about designing for the whole employee lifecycle, not just optimizing parts of it in isolation.

The most effective partnerships, including those with consultants and external experts, often blur internal and external boundaries, delivering seamless support to business leaders.

Key recommendations for talent leaders to move to an integrated talent approach

So what does it take to lead effectively in this environment? Several key priorities are emerging:

• Understand the evolving business context: Start with a clear understanding of the organizational environment, where the business strategy is going, and the role of culture in supporting growth, before proposing solutions.
• Customize with purpose: Balance tailored approaches with scalable standards to drive consistency.
• Build your internal base: Credibility is built by understanding internal politics, brand sensitivities, and cultural norms.
• Elevate the employee experience: Amid ongoing disruption, meaning, purpose, and psychological safety are essential stabilizers. Make this a priority, and the business will follow.
• Build meta-skills: Leadership development must focus on adaptability, resilience, empathy, and systems thinking; the capacities needed to lead through complexity.
• Develop an enterprise mindset: Today’s talent leaders must be business-centric, fluent in financial and strategic conversations, and capable of integrating disparate talent functions to construct a coherent whole. They must translate data into compelling narratives and foster strong partnerships both within HR and across the enterprise.

Most importantly, talent leaders must see themselves not just as HR professionals, but as organizational architects, designing the systems, cultures, mindsets and experiences that enable growth.

Conclusion: Talent strategy integration isn’t a trend. It’s your edge.

The world of work is not simply changing. It is being fundamentally redefined. Integrated talent strategy is no longer a future aspiration; it is a current imperative. To deliver on this mandate, talent leaders must: align their strategies tightly with business priorities; build managerial capability at scale; and use technology with precision and discipline. They must create strong, trusted partnerships across internal and external boundaries, and focus on clarity over complexity. The siloed HR model has reached its limits. The future belongs to those who embrace integrated talent strategy as a core business driver.

In late 2023, we set out to answer a question we kept hearing from clients:

How do you prepare for what’s next—when “next” keeps changing?

That question has only become more urgent in 2025. Today’s leaders are navigating rapid shifts—from AI’s integration into nearly every role to volatile markets and a growing disconnect between employee expectations and organizational readiness. Planning feels harder than ever—because the future keeps accelerating while our tools and assumptions stay anchored in the past.

Too often, strategic planning is built on outdated logic: start with what’s already in motion, layer on incremental improvements, and forecast trends forward. But in today’s environment, that approach isn’t just ineffective—it’s risky. It reinforces legacy thinking. It prioritizes what’s easy over what’s essential. And it creates strategies built for a version of the world that no longer exists.

That’s why we took a different approach. We gathered a team of I/O psychologists, academics, and senior talent leaders—not to react to trends, but to reimagine what the future of talent, leadership, and learning might truly demand.

To guide the process, we used a method we often apply with clients: future-back thinking.

What is future-back thinking?

Future-back thinking flips traditional strategy. Rather than starting with today’s constraints, it begins with a bold vision of future success—and works backward to define what it will take to get there.

This approach helped us look past short-term pressures and surface deeper signals. It made the future feel more actionable—and more human.

It also reminded us why innovation is so rare: Most organizations are wired to protect what’s familiar. We prioritize feasibility, optimize what exists, and assume continuity. In uncertain times, we tweak around the edges instead of reimagining what’s possible.

Future-back thinking breaks that cycle. It turns ambiguity into alignment—and strategy into design.

It starts with a better question:

What will the future demand—and what will we wish we’d done sooner?

Because it’s not about being right. It’s about being ready.

Five bold predictions—and how they became reality

When we applied future-back thinking to the future of talent and learning, five provocative themes emerged. Each was grounded in signals we were already starting to see—but at the time, they felt ambitious.

We captured them in our original blog, Navigating the New Dawn of Talent Strategy—a look at what might shape how organizations attract, develop, and lead talent over the next 3–5 years.

Now, just two years later, those signals have become strategy. Here’s how the predictions stack up against today’s reality:

1. Skills × jobs (the remix)

Then: We predicted that rigid job architectures would give way to more fluid, capability-based models—ones that reflect how people actually grow and how business needs evolve.

Now: That shift is well underway. Many organizations have begun redesigning roles around transferable skills and capabilities, creating more dynamic paths for growth, mobility, and performance.

2. AI-powered learning

Then: We anticipated GenAI would unlock personalized, real-time learning at scale, integrated into the flow of work.

Now: GenAI is now embedded in many organizations’ learning ecosystems—powering smart coaching, adaptive learning paths, and knowledge retrieval in the flow of work.

3. Diversity as differentiation

Then: We forecasted a shift from DEI as a compliance mandate to DEI as a core driver of innovation, adaptability, and growth.

Now: High-performing organizations are building cognitive and cultural diversity into teams, treating it as a strategic advantage—not a checkbox.

4. AI as a leadership partner

Then: We imagined a future where AI would augment—not replace—leaders, supporting better decisions, planning, and communication.

Now: That’s exactly what’s happening. Leaders are using AI to model scenarios, synthesize insights, and communicate with more speed and clarity.

5. Decentralized, human-centric leadership

Then: We projected leadership would decentralize, moving closer to the front line and defined by mindset more than title.

Now: Leading organizations are scaling leadership behaviors across levels and embedding psychological safety, inclusion, and empowerment into day-to-day work.

These predictions weren’t about chasing trends. They were about imagining what the future might require—and preparing for it before it arrived.

That’s the power of future-back thinking: it doesn’t just forecast change. It helps leaders design for it.

Start thinking differently now

Most strategic plans start by looking around—at what exists, what’s already in motion, what feels feasible. But the brain doesn’t just collect data. It builds habits. It channels information into familiar paths. And it reinforces what it already knows.

That’s good for speed. But bad for imagination.

Future-back thinking challenges that. It deliberately disrupts those neural paths. Instead of adjusting today’s structures, it starts at the endpoint: a bold future state. Then it reverse-engineers the shifts required to get there.

This shift—from refining the familiar to reimagining what’s possible—is what organizations need now.

Here are three provocations to help you start:

1. What assumptions are we treating as facts? The most dangerous limits are the ones we no longer see.
2. What would someone from a completely different world do? (A customer, a child, Beyoncé?) Try role-storming to unlock new angles.
3. What if we had no legacy systems to maintain—what would we build from scratch? Imagine a blank slate.

These questions aren’t just creative warm-ups. They help you unstick your strategy from old grooves—and build what’s essential.

Because in a world that’s constantly changing, the biggest risk isn’t getting it wrong. It’s staying stuck.

How BTS helps leaders and teams think beyond today

Our brains—even at their most capable—get stuck in “rivers of thinking,” defaulting to what feels safe instead of what the future demands.

At BTS, we help organizations break that cycle.

Future-back thinking is more than a framework—it’s a provocation. A way to disrupt habitual planning, reframe challenges, and design from a place of possibility.

We work with leaders and teams to:

• Break from old patterns by surfacing the assumptions quietly guiding decisions
• Align around vivid, future-state scenarios that challenge status-quo thinking
• Role-storm bold ideas into strategic options that unlock creativity
• Simulate future decisions to build confidence and agility
• Build the mindsets and capabilities your strategy requires

Because the real risk isn’t change. It’s standing still.

Too often, organizations invest time and energy planning for a version of the world that no longer exists. They reinforce legacy mindsets, delay bold moves, and miss the moment.

Future-back thinking offers a way out. It gives leaders a structured way to reimagine what’s possible, align teams around the future, and start building toward it—now.

Let’s build what’s next—together. Learn how we help organizations prepare for the future.

Organizations have long wanted to scale coaching, but have been limited by cost and capacity. With AI, that's beginning to change as new platforms make coaching more accessible, flexible, and available on demand, extending support beyond a select group of leaders to entire populations.

For talent leaders, this shift creates both opportunity and complexity. With greater reach comes a new set of trade-offs: how to balance access with depth, flexibility with accountability, and efficiency with meaningful development.

The limits of unlimited (coaching).

Unlimited coaching sounds like the obvious answer. Remove the barriers, give everyone access, let people engage on their own terms. What's not to like?

In practice, quite a bit.

When coaching has no defined structure or cadence, engagement tends to become episodic - people show up when something feels urgent and step back when it doesn't. The coaching relationship never quite deepens. Conversations cover ground but don't build on it. And the development that was supposed to happen keeps getting pushed to the next session, and the next.

Three patterns emerge:

1.  Sporadic engagement over sustained development. Without a rhythm to anchor the work, coaching becomes reactive. Clients bring whatever is most pressing that week rather than working toward something larger. Progress happens in bursts, if at all.
2. ‍Insights that don't compound. Great coaching reveals patterns over time - things a client can't see in one session but can't unsee after several. Without continuity, and without a consistent coaching relationship to hold the thread, each conversation starts close to zero.‍
3. Outcomes that are hard to measure. No milestones. No defined endpoint. No clear way for the organization, or the client, to know whether it's working. Activity fills the gap where impact should be.

The result is a model that's easy to scale and hard to defend. Which is exactly the problem talent leaders are navigating right now.

The relationship is the lever.

Decades of research into what makes coaching work keeps arriving at the same answer: it's the relationship. Not the platform, not the methodology. The relationship.

When a coach and client build trust over time, developing shared language, and returning to the same themes with increasing depth, something shifts. Conversations get more honest. Insights stick. The client starts doing the work between sessions, not just during them. That's when coaching becomes genuinely transformative, and it can't be rushed or replicated in a one-off session.

The ICF and EMCC are clear on this: continuity is what dives outcomes. The coaching engagements that produce lasting change are the ones where each session builds on the last, not the ones that simply offer more access.

Three principles make that possible: Consistency, Continuity, and Completion.

1. Consistency

The foundation everything else is built on.

The temptation when designing a coaching program is to treat flexibility as a feature - let people book when they want, swap coaches freely, engage on their own schedule. But frequent coach changes reset the clock. Every new coach has to earn trust, learn context, and find their footing with the client. That's time spent getting started, not getting somewhere.

A stable coaching relationship works differently:

• The coach starts to see around corners, uncovering patterns the client can't see on their own
• The client stops performing and starts being honest
• The relationship itself becomes a source of accountability, not just the sessions

Consistency doesn't constrain the work. It's what makes the deeper work possible.

2. Continuity

What turns a series of sessions into genuine development.

Without continuity, coaching tends to be additive at best- each session offers something useful, but nothing compounds. With it, the work builds on itself in ways that can't happen in isolated conversations.

What continuity makes possible:

• A limiting belief surfaced in session three becomes a thread that runs through the rest of the engagement
• A behavioral pattern the client couldn't see at the start becomes impossible to ignore by the end
• Space opens up for the harder work - the kind that requires sitting with discomfort across multiple sessions, not resolving it quickly and moving on

That slower, deeper work is where lasting change actually happens. It doesn't come from more sessions. It comes from the right sessions, in the right order, with the same person.

3. Completion

The most underrated principle of the three.

In a world of unlimited access, there's no finish line, and without one, it's surprisingly hard to know what you're working toward, or whether you've gotten there. A defined endpoint changes the entire shape of an engagement.‍

A clear endpoint creates urgency and focuses every session on what matters most.

• Shifts the question from "what should we talk about this week?" to "what do we need to accomplish before we're done?"
• Gives both coach and client a body of work to look back on, not just a log of conversations

For talent leaders, this is also what makes coaching legible as an investment. Sessions logged is an activity metric. A cohort of leaders who completed a structured engagement and can articulate what changed, that's a result.

Don't just scale it, design it (here’s how)‍ 

The opportunity in front of talent leaders right now is significant. The organizations that will get the most from this moment are the ones that treat coaching design as seriously as coaching delivery.

Practical design decisions:

• Define the arc before you launch: set the number of sessions, the cadence, and the goals upfront, not after people have already started booking
• Protect the coaching relationship: Make coach switching the exception, not the default, and design your program to discourage unnecessary re-matches
• Build in milestones: create structured check-ins at the midpoint and end of each engagement so progress is visible to both the coach and the organization ‍
• Separate on-demand support from developmental coaching: Use AI-enabled tools for in-the-moment guidance, and reserve structured engagements for the deeper work ‍
• Measure completion, not just activation: Track how many people finish an engagement, not just how many start one

Questions to pressure-test your design:

• Does every participant know what they're working toward before their first session?
• Can your coaches see enough context about a client's journey to pick up where they left off?
• Would you be able to show, at the end of a cohort, what changed, and for whom?

Access opened the door. Intention is what makes it worth walking through.

Three decisions that changed everything.

Two years ago, we made three deliberate decisions about how BTS would move with Applied AI.

We would become our own Customer Zero.

While others were building strategies, defining governance, and waiting for clarity, we made a different call: we decided not to wait. Not because the stakes were low, but because they were high. And because in a space evolving this quickly, clarity wouldn’t come from planning. It would come from movement.

So instead of starting with a roadmap, we started with three principles:

1. No top-down mandate. The people closest to the work figure it out.
2. IT must evolve from gatekeeper to enabler - leading AI trials and fast experimentation.
3. Don’t wait for certainty.

We set the organization in motion, and once we did, things started to move quickly.

What if we started this company today?

Waiting for certainty is itself a choice, and it’s costing companies more than they realize.

We started where we knew the work best: our simulations. No perfect plan, just teams moving, trying, and iterating.

Simulations are core to who we are at BTS. Companies that simulate don’t just make better decisions; they execute faster and build more engaged cultures.

The team asked a simple question:

"What if we were to start our company today?”

That question started the flywheel.

They asked IT for a few licenses and started building - vibe-coding, writing agents, and testing tools - moving at a pace that would make any VC-backed start-up smile.

The messy middle.

At first, the team was underwhelmed._‍

The early reports were blunt:

“Not good with math.”

“Poor graph capabilities.”

The team wasn't discouraged. They kept tinkering - jumping between tools, staying on top of new releases, experimenting constantly.

This was a small team, across 24 countries, building off each other’s ideas. Laughing at crazy creations. Breaking things. Iterating in a sandbox alongside real clientwork.

Each cycle produced something:

• A sharper scenario
• A faster build
• A more powerful simulation

The flywheel was turning, and it was generating something real.

When the diamond appeared.

Then something shifted.

The team moved into client trials across five countries. They figured out ISO compliance and built the architecture to handle the complexity, the “spaghetti.”

And what emerged wasn’t incremental:

• What used to take weeks started happening in days.
• Limited creativity started to feel like unlimited innovation.
• Clients became self-serving.
• Agentic simulations were built directly into client systems for real-time updates and preparation.

This was our first AI diamond - a high-impact outcome created by many cycles of experimentation compounding into real value.

It only appeared because we kept the flywheel turning, each cycle increasing the odds that something would break through.

95% adoption in eight weeks.

Then it was time to take the AI diamond global.

BTS is decentralized and highly entrepreneurial. We operate across 24 countries and 38 offices, where local teams have real autonomy.

And historically? That’s meant a low appetite for adopting something built somewhere else and pushed from the center.

So we expected resistance.

Instead, something surprising happened.

In the first eight weeks, we saw 95% adoption across our global footprint.

It felt completely different from our own digital initiatives, ERP implementations, top-down rollouts of the past.

This moved on its own. Why? 

We realized it didn’t start with a framework or a model, it started with a feeling.

The feeling of being at the leading edge of one’s craft and profession.

• Joy
• Excitement
• Pride

As we watched this play out across teams it stopped feeling like isolated wins.

There was a pattern to it. A repeatable, organic, innovation motion.

And the flywheel didn’t stop with simulations.

It spread across finance, sales enablement, legal, operations, and client delivery. Some cycles led to small improvements, and others revealed new diamonds.

Not becausewe planned for them, but because we built the conditions for people to find them.

The question I'd ask any CEO right now: Is your flywheel turning, or are you still waiting for the perfect plan?

In part 2, I’ll share the key success factors behind the breakthrough, and what we’re now seeing across more than 120 global clients.

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La maggior parte delle riunioni di vendita non fallisce.
Semplicemente non porta a una decisione.

Ed è lì che si perde valore.

I clienti di oggi sono più informati, più selettivi e hanno meno tempo.
Non hanno bisogno di altre presentazioni di prodotto.
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Hanno bisogno di conversazioni che li aiutino a stabilire le priorità, decidere e andare avanti.

Eppure, il 58% delle riunioni di vendita non riesce a creare valore reale.
Non perché i venditori manchino di capacità, ma perché le conversazioni non sono progettate per far avanzare le decisioni.

“I clienti non agiscono su ogni esigenza che riconoscono.
Agiscono quando qualcosa diventa una priorità.”

In questo breve executive brief scoprirai:

• Perché la maggior parte delle conversazioni informa… ma non porta all’azione
• Cosa spinge davvero i clienti a stabilire priorità e muoversi
• Come creare urgenza senza compromettere la fiducia
• Il passaggio dal presentare soluzioni al facilitare decisioni
• Cosa distingue le conversazioni che si bloccano da quelle che accelerano il progresso

Se i tuoi team stanno affrontando trattative bloccate, decisioni ritardate o un pipeline lento, questo brief ti aiuterà a capire il perché e cosa fare in modo diverso.

Scarica l’executive brief e scopri come progettare conversazioni che portano davvero a decisioni.