The AI Growth Advantage:
How Growth-Ready Organizations Turn AI into Enterprise Value 

AI investments don’t guarantee growth. But our new research shows growth-ready organizations are significantly ahead in turning new technology into enterprise value. 

The AI Growth Advantage:
How Growth-Ready Organizations Turn AI into Enterprise Value

Based on input from circa 250 leaders across markets and industries, our 2026 Catalysts research looks at how high-growth companies organize around AI, compared to those growing at a moderate and low pace. High-growth organizations approach AI differently.

They are more likely to:

Connect AI to growth and innovation

Embed AI into business strategy and day-to-day operations

Invest broadly in workforce AI and human thinking capability

Create cultures where experimentation and learning are expected

How high-growth companies create clear organizational conditions for AI impact.

Our research points to three key findings about the next phase of AI transformation:

  1. What growth leaders are doing differently. High-growth organizations aren’t simply adopting more AI; they’re embracing and embedding it. 
  2. Organizing for the AI era. Sustained impact requires creating a reinforcing system across strategy, leadership, work, capabilities, governance, and culture. 
  3. Leadership is the AI multiplier. As AI becomes an enterprise-wide mandate, leadership becomes the next constraint. 

How high-growth companies create clear organizational conditions for AI impact.

Our research points to three key findings about the next phase of AI transformation:

  1. What growth leaders are doing differently. High-growth organizations aren’t simply adopting more AI; they’re embracing and embedding it. 
  2. Organizing for the AI era. Sustained impact requires creating a reinforcing system across strategy, leadership, work, capabilities, governance, and culture. 
  3. Leadership is the AI multiplier. As AI becomes an enterprise-wide mandate, leadership becomes the next constraint. 

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The AI Growth Advantage: How Growth-Ready Organizations Turn AI into Enterprise Value

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Catalysts: AI is Forcing Organizations to Redefine What Remains Uniquely Human

As AI becomes embedded in everyday work, organizations are confronting deeper questions around identity, purpose, and connection in the workplace. 

As part of our 2026 Catalysts research, we’re exploring how organizations are progressing on their AI journeys through Prophet’s Human-Centered Transformation Model. Rather than looking at AI adoption through a technology lens alone, the framework examines how strategy (DNA), capabilities (Mind), operating models (Body), and behavior (Soul) must evolve together to enable lasting transformation.  

Read the full Catalyst article series: 

This content piece focuses specifically on our findings under ‘Soul’. 

Much of the AI conversation has focused on productivity, efficiency, and automation. But beneath those discussions sits a more human question: what does AI mean for the people doing the work? 

As organizations move beyond experimentation and into systemic adoption, leaders are increasingly confronting the emotional and cultural implications of AI. Employees are not evaluating AI solely through the lens of capability and performance; they are evaluating it through the lens of identity, security, purpose, and belonging. They are asking what work will look like, what skills will matter, and where they fit in an AI-enabled future. 

At the same time, organizations are discovering a paradox. While AI promises to free up time and reduce friction, many employees worry that those gains will simply be replaced with more work, higher expectations, and faster cycles of execution. The challenge is no longer just helping people adopt AI. It is ensuring AI enhances the employee experience rather than diminishing it. 

What we’re seeing from the new research:

Employees are evaluating AI through an emotional and cultural lens. 

While leaders often focus on productivity and performance, employees are grappling with more personal questions. How will my role change? What skills will matter? Where do I add value? Across interviews, concerns around job security, relevance, and future career paths continue to shape how employees engage with AI. 

We’ve had to get everyone over the AI anxiety hump because everyone was talking about AI coming to take our jobs.

HR Leader, B2B Marketing & Sales 

Human connection, trust, and empathy are becoming more valuable. 

As AI takes on more routine and analytical work, capabilities such as relationship-building, contextual understanding, empathy, trust, and collaboration are becoming increasingly important. Rather than reducing the value of human skills, AI may actually amplify them by making them one of the few remaining sources of differentiation. 

There are many, many capabilities these AI tools will offer up to us. But there’s also a downside in terms of losing the human touch, the risk of loss of trust. There’s a huge reputational risk that brands have, because healthcare, at the end of the day is really about the human-to-human connection, the relationship.

Digital Marketing Leader, Healthcare Tech 

The burnout paradox: AI may free up time but not necessarily improve the employee experience. 

Many leaders acknowledged that AI has the potential to eliminate low-value tasks and create significant efficiency gains. However, employees increasingly question where that time goes. In some organizations, AI-enabled productivity is being reinvested into more meetings, more tasks, and higher expectations rather than more meaningful work. 

What’s next for business leaders?

1. Create an AI Narrative That Goes Beyond Efficiency

Last year’s Catalysts research highlighted the importance of creating a clear organizational narrative around AI. This remains true, but the story needs to evolve. Employees want to understand not just how AI will make work faster, but how it will make work more meaningful. Frame AI as a way to augment people, strengthen capability, and create better work, not just simply reduce effort. And speak openly about what this means for employees. 

2. Intentionally Design for Human Connection

As AI becomes a collaborator, organizations need to be deliberate about preserving the interactions that build culture. Create regular opportunities for people to learn from one another through peer showcases, experimentation sessions, and cross-functional collaboration.

3. Protect What Makes Your Organization Uniquely Human

As AI becomes increasingly accessible, technology will become less of a differentiator. Culture, relationships, leadership, and ways of working will matter more than ever. The organizations that stand out won’t simply have better AI; they’ll have a stronger sense of what makes them distinctly human. In a future where many organizations have access to the same tools, competitive advantage will come from the things AI cannot easily replicate.


FINAL THOUGHTS

As AI becomes more capable and more accessible, technology itself will become less of a differentiator. What will increasingly matter is how organizations cultivate trust, connection, collaboration, and a shared sense of purpose. The organizations that stand out will not be those with the most advanced use of AI, but those with the clearest understanding of what makes them uniquely human.  

Across this year’s qualitative research, a consistent set of themes is beginning to emerge. Early conversations suggest that the organizations creating the most value from AI are not treating it as a technology challenge alone; they are rethinking strategy, capability-building, operating models, culture, and leadership in parallel. 

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Catalyst: Why Legacy Operating Models are Slowing AI-Enabled Transformation 

Many organizations are discovering that AI cannot scale on top of fragmented systems and legacy ways of working, exposing the need to rethink operating models, governance, and decision-making. 

As part of our 2026 Catalysts research, we’re exploring how organizations are progressing on their AI journeys through Prophet’s Human-Centered Transformation Model. Rather than looking at AI adoption through a technology lens alone, the framework examines how strategy (DNA), capabilities (Mind), operating models (Body), and behavior (Soul) must evolve together to enable lasting transformation. Read the first three articles in our Catalyst series: 

Here we focus specifically on our findings under ‘Body’. Organizations are discovering that AI cannot scale effectively on top of fragmented systems, siloed decision-making, and operating models built for a different era. What begins as a technology initiative quickly becomes a broader challenge of governance, prioritization and process design. In other words, AI is exposing the strengths and weaknesses of how organizations operate. The next wave of AI-enabled value moves beyond introducing new tools, to redesigning how work gets done, creating the conditions for experimentation to scale, and building operating models that allow AI-enabled ways of working to take hold. 

What we’re seeing from the new research:

Pilot proliferation is creating noise instead of scale.

Many organizations are running multiple AI pilots simultaneously, often led by different functions, teams, or business units. While experimentation remains essential, leaders are increasingly concerned about duplication, competing priorities, and a growing inability to scale successful initiatives. Without a clear enterprise-wide view, organizations risk creating more noise than value. 

AI individual tactical solutions, one trick ponies, are data environment expensive and not scalable.

Business Leader, Financial Services

AI is exposing organizational debt.  

AI is acting like a spotlight on long-standing operational roadblocks. Fragmented processes, unclear ownership, siloed data, and inconsistent ways of working are becoming more visible as organizations attempt to embed AI into day-to-day operations. 

Scaling AI requires redesign, not redeployment.

Organizations are increasingly recognizing that AI transformation cannot be achieved by layering new technology onto old operating models. The greatest barriers are often structural rather than technical. New technology requires new infrastructure: process, governance models, performance systems, and decision-making frameworks all need to evolve alongside the technology. 

It ends as a productivity tool if that’s how you use it, not a transformative tool.

Business Leader, Financial Services

What’s next for business leaders?

1. Create Enterprise-Level Visibility of AI Initiatives

Our 2025 research emphasized empowering teams to experiment with AI. That remains critical, but experimentation without visibility creates fragmentation. Organizations need a shared view of AI initiatives to reduce duplication, accelerate learning, and scale what works across the enterprise.

2. Align AI Investment Through Prioritization

As the volume of AI initiatives grows, prioritization is becoming more than an operational exercise. Organizations need clear prioritization frameworks to decide what to scale, what to stop, and where AI creates the greatest business value, not just the greatest excitement.

3. Redesign the Workflow, not Just Work

Perhaps the most significant shift from last year’s research is the realization that AI transformation requires operating model transformation. Organizations need to redesign workflows, decision-making, and supporting systems around AI-enabled work, rather than layering AI onto legacy ways of operating. 


FINAL THOUGHTS

AI is increasingly exposing the limitations of operating models designed for a different era. The question is no longer whether organizations can deploy AI, but whether their structures, processes, and ways of working are built to support it. Those that redesign the organization alongside the technology will be best positioned to leverage the value of AI. 

This is the fourth article in our Catalysts 2026 series. Continue the series as we explore the cultural and human implications of AI adoption and stay tuned for the full Catalysts report later this year. 

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Catalyst: AI Adoption Reshapes Traditional Apprenticeship and Expert Learning Models

AI is reshaping how organizations develop expertise, build judgment, and define what talent capabilities matter in the future

As part of Prophet’s 2026 Catalysts research, we’re exploring how organizations are progressing on their AI journeys through our Human-Centered Transformation Model. Rather than looking at AI adoption through a technology lens alone, the framework examines how strategy (DNA), capabilities (Mind), operating models (Body), and behavior (Soul) must evolve together to enable lasting transformation. This is our third article in a five-part series that explores what each lever means before we launch our 2026 Catalyst report. Read the Catalyst series:

Here we focus specifically on our findings under ‘Mind’. Much of the conversation around AI capability has focused on technical skills – prompt writing, tool proficiency, and AI fluency. But our research suggests that organizations are confronting a deeper challenge. As AI takes on more analytical and executional work, organizations are being forced to rethink how expertise is developed, how professional judgement is built, and how employees learn throughout their careers.

Leaders are increasingly asking a different question: what capabilities will matter when AI can perform many of the tasks that traditionally developed expertise?

What we’re seeing from the new research:

AI fluency is becoming the new baseline.

The question is no longer whether employees should learn AI. In many organizations, AI fluency is rapidly becoming a foundational workplace skill rather than a specialist competency. Organizations expect employees at every level to understand where AI fits into their work, how to use it responsibly, and when to rely on human judgement. As AI becomes embedded in daily workflows, AI literacy is shifting from a competitive advantage to a requirement.

L&D is spearheading AI journey for employees, how they use it, how they can be fluent, understand it, and use it responsibly.

HR Leader, Software Development

AI expertise is moving beyond prompting to managing agents.

Many organizations have invested heavily in prompt engineering and AI training, but leaders increasingly recognize that prompting is only the beginning. As AI agents become capable of executing increasingly complex workflows, employees will need to move beyond generating outputs to supervising, orchestrating, and evaluating them.

[…on the use of AI beyond prompting] We’ve been seeing advanced AI tools in the talent attraction space today, for example Eightfold AI provides an agent that calls applications and sifts through applications at any time of the day.

HR Leader, B2B Marketing & Sales

AI is reinventing the traditional apprenticeship model.

One of the biggest questions emerging from our research is not whether AI replaces early-career work, but how it changes the way expertise is built. AI has the potential to accelerate learning by reducing time spent on repetitive tasks and giving junior employees earlier exposure to higher-value thinking, problem-solving, and insight generation. But this won’t happen by default. Without intentionally redesigning capability-building pathways, organizations risk creating a generation that reaches answers faster without developing the critical thinking and professional judgement that traditionally came through experience. The opportunity isn’t to preserve the old apprenticeship model, it’s to build a better one.

Apprenticeship has traditionally been with people, now you also have to apprentice the model you’re working with.

HR Leader, Pharmaceuticals

What’s next for business leaders?

1. Move beyond AI literacy to AI judgement

Last year’s Catalyst research focused on building AI literacy across the workforce. That remains essential, but the next wave of AI adoption is shifting from just fluency to judgement. Organizations now need to focus on helping employees develop the judgement to evaluate outputs, identify appropriate use cases, challenge recommendations, and understand where AI should and should not be applied.

2. Reinvent the apprenticeship model

AI is changing how expertise is built in the workplace. As routine work is being automated, organizations can no longer rely on traditional ‘learn by doing’ alone to develop professional judgement. Leaders need to deliberately redesign early-career development, creating structured opportunities for coaching, simulation, shadowing, and guided problem-solving to develop the skills that AI cannot develop for them.

3. Make learning part of the job

Last year’s research emphasized AI training and capability-building. This year, we’re seeing that one-off courses won’t keep pace with the technology. Organizations should embed learning into everyday work by creating regular opportunities for experimentation and knowledge sharing (i.e. showcasing how teams are using AI, running innovation challenges, carving out time to test new use cases).


FINAL THOUGHTS

AI is increasingly exposing the limitations of operating models designed for a different era. The question is no longer whether organizations can deploy AI, but whether their structures, processes, and ways of working are built to support it. Those that redesign the organization alongside the technology will be best positioned to leverage the value of AI. 

This is the fourth article in our Catalysts 2026 series. Continue the series as we explore the cultural and human implications of AI adoption, and stay tuned for the full Catalysts report later this year. 

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Catalysts: Getting More Value out of AI Means Looking Beyond Tech

The organizations creating the most value from AI are not treating it as a standalone initiative but embedding it into the business strategy and prioritizing outcomes over activity. 

As part of our 2026 Catalysts research, we’re exploring how organizations are progressing on their AI journeys through Prophet’s Human-Centered Transformation Model. Rather than looking at AI adoption through a technology lens alone, the framework examines how strategy (DNA), capabilities (Mind), operating models (Body), and behavior (Soul) must evolve together to enable lasting transformation.  

Here we focus specifically on our findings under ‘DNA’. 

As organizations move beyond the initial wave of AI experimentation, a common challenge is emerging: many are still starting with the solution before considering the business problem that needs to be addressed. Across our Catalysts 2026 research, leaders described organizations overwhelmed by new tools, use cases, and possibilities, yet struggling to connect AI investments back to strategic priorities and measurable business outcomes. 

The organizations generating the greatest value from AI are taking a different approach. Rather than treating AI as a standalone initiative, they are embedding it within broader business, brand, customer, and growth strategies. 

What we’re seeing from the new research: 

AI Initiatives are Operating Alongside Strategy, Rather Than Within It 

Many organizations have established dedicated AI programs, roadmaps, and innovation initiatives, but these efforts are not always clearly connected to broader business objectives. Leaders described AI as a parallel workstream rather than a capability embedded within the organization’s strategic agenda. 

Don’t know that we will have an AI strategy, but we will have an AI role that is helping the larger strategy.

Business Leader, International Food Business

Organizations are Struggling to Connect AI Investments to Enterprise Value.  

As AI opportunities multiply, leaders are finding it increasingly difficult to distinguish between experimentation that creates meaningful value and experimentation that simply creates noise. 

A nose for value…there are a lot of great ideas and capabilities being developed, but we are trying to understand how we actually extract value out of it.

HR Leader, Pharmaceuticals

AI Adoption is More Effective When Embedded Into Existing Workflows. 

Organizations seeing benefit from AI are focusing on solving business and operational issues to create impact while positioning AI as part of a larger story about growth, transformation, customer experience, or operational excellence. Rather than presenting AI as a set of standalone tools, they are helping employees understand how it supports the organization’s broader direction and embedding it into or reworking existing processes and workflows. 

Customer experience is the guiding principle for us so whatever we do should be about making the customer experience better.

 Business Leader, International Food Business

What’s Next for Business Leaders?

1. Don’t build an AI strategy. Build a business strategy powered by AI.

Our 2025 Catalysts research highlighted the importance of aligning AI with organizational purpose, values and strategic direction. That finding still holds true, but the urgency has changed. Organizations can no longer afford to treat AI as a parallel innovation agenda. The leaders pulling ahead are embedding AI into the core business strategy, ensuring every AI initiative is tied to the enterprise agenda before fragmented investments become harder to align. 

2. Stop measuring AI activity. Start measuring enterprise value. 

In 2025, we encouraged organizations to focus AI efforts on meaningful business outcomes rather than technology deployment alone. As AI adoption accelerates, that principle becomes even more critical. The next challenge is no longer generating AI ideas, it’s making disciplined choices about where AI creates differentiated value and having the confidence to stop investing where it doesn’t. 

3. Make governance an accelerator, not a gatekeeper. 

Governance can no longer focus solely on responsible AI and risk management. As organizations move beyond isolated pilots, governance must become the mechanism that aligns priorities, coordinates investment and enables scale. The organizations that move fastest won’t necessarily be those running the most experiments, they’ll be the ones most effectively organizing around them. 


FINAL THOUGHTS

As the opportunities around AI continue to multiply, the real challenge is not identifying where it can be applied but deciding where it can create meaningful value. Organizations that treat AI as a business capability rather than a technology initiative are likely to be better positioned to turn experimentation into sustained impact. 

This is the second article in our Catalysts 2026 series. Continue the series as we explore how AI is reshaping organizational capabilities, operating models, and culture, and stay tuned for the full Catalysts report later this year. 

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Catalysts: AI’s Next Challenge Isn’t Adoption, It’s Leadership

Beyond AI experimentation, the organizations pulling ahead won’t simply have the best technology, but the leaders who can navigate uncertainty and align teams across the enterprise.

For the past two years, organizations have been racing to adopt AI. Teams have experimented with pilots, automated workflows, tested use cases, and launched innovation initiatives at unprecedented speed. But in many companies, these initiatives are disconnected and AI adoption has outpaced governance, operating models, and even clear strategic direction.  

As part of the seventh edition of Prophet’s Catalysts research, we’re exploring whether AI’s next challenge is no longer adoption, but leadership. Through our qualitative research, several early hypotheses are beginning to emerge that we’ll continue to test through our upcoming quantitative research. 

As the initial wave of experimentation matures, a new reality is emerging: AI isn’t just changing how organisations operate; it’s changing the nature of work itself. To make the most of this opportunity, organisations must be structured, aligned, and upskilled enough to harness it. 

In last year’s Catalysts research, we explored the importance of building the human infrastructure around AI, emphasizing that transformation could not simply be technical, but needed to be cultural as well. That idea still holds true. But the conversation has evolved. In other words, the challenge is no longer just adapting to AI. It is fundamentally shifting how we organize and structure our work based on a new AI-enabled paradigm. 

Organizations are now moving beyond questions of readiness and adaptability toward something more fundamental: how strategy, talent, culture, governance, and operations work together as an interconnected system, and how to redesign work, not just layer AI onto outdated processes.  

This demands intentional focus from leadership and points to a broader shift: competitive advantage may increasingly come from an organization’s ability to continuously adapt, rather than simply adopt. We’ll be exploring how organisations can do this across the next four blog posts. 

What we’re seeing from the new research: 

1. AI Leadership is becoming change leadership

To succeed in the age of AI, leaders can no longer rely on certainty, fixed answers, or static transformation maps. As AI evolves rapidly, organizations need leaders who can guide through ambiguity, align teams around moving targets, and create momentum without having complete clarity. 

“You have to take into consideration all the human change management aspects.”

Business Leader, International Food Business

2. Leaders need to set the vision 

The most effective leaders are starting from the business need, not the tool, asking how AI accelerates what the organization is already trying to achieve and seizing the opportunity to innovate on the systems and processes that currently exist. 

“We had to create a visual of all the agents we had in existence to prevent people from building the same solution several times in different parts of the business.”

AI leader, Global Industrial Conglomerate

3. Leaders need to communicate openly

For employees to be engaged and excited around AI, leaders must build trust around it and communicate openly, about what AI can help the organization do, what it means for how people work and their jobs, and what they themselves are still learning or don’t yet know. 

“We’ve had to get everyone over the AI anxiety hump because everyone was talking about AI coming to take their jobs, but what does that really mean and what skillsets and mindsets do we need to develop to keep pace with this change?”

HR Leader, B2B Marketing & Sales 

What’s next for business leaders?

1. Get organized around AI, not just excited about it 

In last year’s Catalysts research, we emphasized the importance of building workforce readiness and fostering human-centered AI adoption. This year, we’re seeing organizations move beyond awareness and experimentation into a new challenge: organizational coordination. 

The companies pulling ahead are not necessarily the ones with the most AI tools; they are the ones creating alignment across strategy, governance, operations, talent, and leadership. The challenge is no longer simply adopting AI; it’s organizing the enterprise around it. 

2. Develop leaders who can operate through uncertainty  

Our 2025 research highlighted the need for leaders to build trust and create human-centered transformation environments. This year, we’re seeing leadership expectations evolve even further. Organizations increasingly need leaders who can navigate “known unknowns” without pretending to have fixed answers. Leaders that are embedding experimentation, iteration, and learning directly into how work happens, rather than treating transformation as a separate initiative running alongside the business.  

3. Normalize experimentation and course correction 

Organizations know they need experimentation, but many are still operating with cultures and systems optimized for predictability and risk reduction. 

In our last research, we emphasized experimentation as an innovation muscle. This year, it is increasingly becoming an operational requirement. Organizations need to create environments where teams can test, learn, adapt, and share insights quickly, while still operating within clear strategic guardrails. The strongest organizations are not eliminating uncertainty. They are building the institutional stamina to move through it faster. 


FINAL THOUGHTS

The imperative leaders are facing is no longer simply adopting AI. It is learning how to lead through a period of continuous change, where strategy, talent, governance, culture, and operations must evolve together. Our early research suggests that competitive advantage may increasingly come from leaders’ ability to adopt, align, and learn at a similar pace to the technological change itself. 

This is the first article in our Catalysts 2026 series. Continue reading as we explore how organizations are rethinking strategy, talent, operating models, and culture to create sustained value through AI, and stay tuned for the full report later this year.

The Business Leader’s
Uncommon Growth Playbook

The Business Leader’s
Uncommon Growth Playbook

How to grow in an ever-changing world? The Uncommon Growth Playbook for a New Era

There’s never been more risk to, or opportunity for growth than there is today. Today’s business leaders face a profound intersection of disruptive cultural, technological, political, and economic forces that can upend longstanding business models overnight. The traditional approach to growth and innovation that worked over the past 20 years has been upended as disruption is not just coming from new products, but new business models and cultural movements traveling at warp speed, entirely changing the rules of the game.

Through work with organizations around the world, we’ve defined five plays that enable leaders to attain Uncommon Growth. These five plays represent critical shifts in how leaders gather intelligence, frame their market, design their businesses, target customers, and build internal momentum. Together, they distinguish today’s uncommon growth leaders:

Shifting from discrete, periodic research, to always-on, agentic intelligence that informs faster, sharper decisions on an ongoing basis

Shifting from in-category focus to evaluating the frame of reference and identifying markets that don’t yet exist

Shifting from a product and service only focus to orchestrated platforms and AI native offerings that create and capture value across every point of engagement

Shifting from singular customers to understanding ecosystems and the customer coalitions that multiply value for everyone involved

Shifting from stated values on paper to a purpose-built culture that drives collective action and accelerates growth

This is not a linear formula. It’s a new and essential toolkit that leaders can tailor to their business model, organizational maturity, and industry, and each is designed to drive speed to understanding and impact, using both analysis and embedded AI.

Throughout this playbook, you’ll find examples, measurable impact and actions to move from ambition to outcome. Uncommon growth is not a theory. It’s the disciplined execution of the right moves, at the right moment, for your unique organization.

Today’s customers aren’t just changing faster—they’re living through a world that changes around them every day. New technologies, shifting expectations, cultural moments, and economic pressures continually reshape how people think, choose, and buy. For growth leaders, the challenge isn’t a lack of data. It’s developing a deep enough understanding of people to keep pace.

The companies that win won’t simply collect more data. They’ll have greater organizational empathy—the ability for every product manager, marketer, strategist, and executive to more deeply understand the people they serve and create experiences that feel genuinely relevant.

To drive uncommon growth, leaders must build empathy with their customers and treat customer intelligence as a live utility — not a periodic input. This requires a fundamental shift from discrete research to market sensing and customer intelligence, executed through three core actions:

Go deeper to understand people more

Organizations have access to richer sources of customer understanding than ever before—from first-party data to qualitative research and the broader economic, cultural, and social forces shaping people’s decisions. AI makes it possible to connect these signals into a more complete picture of customers, helping businesses move beyond knowing what people do to better understand why they do it—and anticipate what they may do next.

AI can extend trusted research methods across vastly larger populations and datasets, allowing organizations to validate ideas, uncover emerging trends, and identify opportunities with greater speed and confidence—without sacrificing rigor.

Expand insights across more people.
Put customer understanding into everyday decisions.

Insights create value only when they’re used. Instead of sitting in reports or dashboards, customer intelligence should be continuously available to the people making strategic, product, marketing, and commercial decisions. AI-powered insight agents can deliver relevant customer context at the moment decisions are made, enabling teams to act faster, with greater confidence and a stronger connection to customer needs.

Always-On Customer Insights in Action: Uber

Related Prophet Solution:

The organizations that close the gap between insights collection and access—evolving their organizations to deploy AI as a powerful enabler of human insights —will be the ones that define the next era of consumer intelligence. Move beyond just asking what your consumers need — and start asking why they did it, what they might do next, and what you should do about it right now.

The biggest future growth opportunities are unlikely to sit squarely within your current category; they’re forming at the edges of it, shaped by forces most companies haven’t yet acted on. Taking share from competitors, extending product lines, entering adjacent geographies: these moves still matter. But they are increasingly insufficient to deliver uncommon growth.

The reason is structural.

Consequently, the window for organizational survival is shrinking; the average lifespan of a company on the S&P 500 has dropped from 33 years in the 1960s to just 15 years today. The gap between short-term execution and long-term positioning is widening — and the companies pulling ahead are closing it deliberately.

The shift is from today’s category growth to future markets and entirely new frames of reference for the category you operate in: The imperative for future-forward growth leaders is to identify where disruption and emerging customer needs are opening entirely new markets and opportunities, and to capitalize on them with conviction. There are three critical components to understanding future markets and frames of reference that can also become an ongoing discipline within the organization:

5 drivers of change to identify future areas of demand: Social; Technology; Economic; Environmental; Political

Mapping the social, technological, economic, environmental, regulatory, and political forces reshaping your industry is critical, both to build an understanding of how it affects your category today and to explore emerging categories. Working deeply with subject matter experts enables growth leaders to understand the trends that define where demand is heading, not just where it sits today.

An initial analysis into forces at play and demand opportunities enables growth leaders to frame future markets to dive into, mapping the competitive dynamics and customer needs.

Framing attractive potential markets for growth based on your business realities enables leaders to align on a target destination for sustainable business growth. With a clear picture of the business you need to become, organizations can then work backward — progressing potential business growth models through stage gates of desirability, viability, and feasibility.

Future-back innovation strategies and thinking create real friction with boards and teams focused on near-term results. But the value isn’t in the scenarios themselves — it’s in the concrete strategic bets they open to chart a sustainable and robust path to growth.

Future-Back Innovation Strategy in Action: NVIDIA

Related Prophet Solution:

The question is not whether your category will be disrupted. It’s whether you’ll define what comes next — or arrive late to a future someone else built.

Here’s a question most growth strategies don’t ask: what happens after the sale? For the majority of businesses, the answer is surprisingly little. The product ships, the service is delivered, and the customer relationship goes quiet until the next transaction. That silence is one of the largest untapped growth assets in business today — and the companies compounding value fastest have figured out how to fill it.

They’re winning on the depth of the relationship they maintain while customers are actively using what they’ve bought. That relationship generates proprietary data, deepens customer engagement, and creates switching costs that a lower-priced competitor simply can’t replicate. The shift is from products and services to platforms — business models that let you observe, interact with, and add value for customers during the time between one purchase and the next.

You don’t need to be a technology company. You need to create the conditions under which your business stays connected to customers during what we call the User Journey. Execution follows a four-stage progression:

Build the ability to see what customers are actually doing with your product after the sale, which is the foundational data layer most traditional models completely lack.

Develop touchpoints, tools, or services that add real value during active use, deepening the customer relationship and generating behavioral signals you can learn from.

Use what the platform reveals to tailor and expand the value delivered to each customer over time, which will drive increasing satisfaction and share of wallet.

Let the richness of the platform experience and data-validated results become a powerful acquisition tool to draw new customers through demonstrated value, not just marketing.

The biggest friction will be organizational: most businesses are structured around product sales cycles, not ongoing engagement. A platform model requires investment in data infrastructure and continuous value delivery before the financial return is fully visible.

Platform Business Model in Action: The New York Times

Related Prophet Solution:

The New York Times evolved from a print newspaper into NYT, a multi-product digital platform — bundling news, cooking, games, audio, and sports into a single subscription. Digital-only subscription revenues grew by approximately 14% to $1.43 billion, with bundle and multi-product subscribers now representing approximately 51% of the digital base. The company didn’t grow by writing more articles — it grew by redesigning its relationship with readers across more of their daily lives.

The critical question isn’t “What new product can we launch?” It’s “How do we stay valuable to the customers we already have — and make that value visible to everyone we haven’t yet reached?”

Most growth strategies focus on two things: acquiring more customers and keeping the ones you have. Both matter enormously. But they share a blind spot that limits how much value your business can create and capture.

Every customer is surrounded by an ecosystem of influencers, from providers to creators, advisors, and communities, who shape their decisions before, during, and after the purchase. The companies building the strongest competitive positions today aren’t just serving customers. They’re connecting the parties around them into coalitions where everyone exchanges value, and where the business sits at the center.

This is the shift from customers to customer coalitions: moving beyond a one-way value exchange between company and buyer and instead facilitating a “better together” network where participants make each other more valuable. The result: lower acquisition costs, higher lifetime value, and stickiness that a marginally better product from a competitor can’t easily break.

Executing this shift requires focusing on three areas: 

Growth in a coalition isn’t about scale for scale’s sake — it’s about the right mix of participant types: users, providers, creators, sponsors, and influencers. Identify which personas fill gaps in the ecosystem and create a self-sustaining growth loop. Are the right providers balanced to customer demand in a given market?

Look beyond the direct value your company delivers and design for the lateral value members provide to one another. When you engage the same person in multiple ways — a user who also reviews, recommends, and advocates — you drive significantly higher spend and create differentiation competitors can’t replicate.

Move from transactional discounts to recognition systems that reward specific behaviors — quality, consistency, responsiveness — rather than just volume. This lets you capture premium needs at higher margins while remaining accessible at the entry level.

The friction here is real. Investing in peripheral ecosystem participants can feel indirect when teams are measured on near-term revenue. But the payoff is a self-reinforcing system that compounds over time.

Customer Ecosystem Management in Action: Airbnb

Related Prophet Solution:

The question isn’t just “How do we serve our customers better?” It’s “Who are the parties around our customers that make the experience better — and how do we bring them together?”


Every organization has written its values on a slide or poster. Very few have a culture that accelerates growth. The gap between what a company says it believes and how people inside it behave is where most growth strategies quietly die.

The failure is rarely due to a flawed strategy or insufficient funding. Instead, it is most often rooted in organizational and cultural resistance — the antibodies within an organization that reject the very changes leaders are trying to implement. You can invest in the sharpest strategy and the most advanced tools, but if the culture isn’t built to absorb and act on them, the organization will default to what it already knows.

The shift is from stated values to purpose-built culture: a culture deliberately designed to champion bold bets, move with speed, and sustain momentum long after the initial energy of a new initiative fades. This isn’t about writing better values statements. It’s about rewiring how the organization operates.

Organizational Ambition

Defining a compelling ambition for the organization aligning purpose, strategy and culture — enabled by the right behaviors

Leadership Enablement

Clarifying what is expected of leaders, providing them with the skills and tools to demonstrate change and build trust with their teams

Employee Ignition

Sparking employee interest, passion, and accountability by showing them what great looks like

Executional Excellence

Unlocking people and work through systemic change in service of delivery against strategic objectives

Three moves make this real:

Uncommon growth cannot be a top-down mandate. Empower people at every level to identify and act on opportunities — and to challenge legacy processes that slow the organization down. When growth ownership is distributed, the company becomes a network of sensors rather than a hierarchy waiting for direction.

Move beyond “permission to fail” toward active incentives to experiment. Reward the process of discovery, not just the outcome. If your performance reviews only recognize hitting quarterly targets on legacy products, the culture will never champion the new — no matter what the values slide says.

Shift from annual planning to rolling cycles that redirect resources toward what’s working in real time. Leaders must move from managing performance to evangelizing the behaviors that produced it.

The tension is real: protecting the core business while funding the future creates friction. Culture must provide the permission to reconsider your own business when the evidence points forward — and the resilience to sustain speed without burning people out.

Organizational Culture as Competitive Advantage in Action: e.l.f. Beauty

Related Prophet Solution:

You cannot program growth into a spreadsheet. You need a human-centered transformation model and a culture supportive of change, which can only come about through nurturing people — and cultivating the systems, skills, incentives, and norms that shape how they show up every day.


Building a Sustainable Business Growth Strategy

The journey to creating Uncommon Growth starts today.

Every growth move describes a shift that successful Uncommon Growth companies have already made — and that their competitors, in most cases, have not. The distance between those two groups is widening. Not because companies lack talent or capital, but because they’re still running plays designed for a world that no longer exists. None of these plays require you to rebuild your company from scratch, but each one requires you to challenge an assumption your organization has been operating on for years. The companies achieving uncommon growth aren’t waiting for perfect conditions. They’re building the capability to grow without them.

Prophet’s Uncommon Growth Playbook and practice areas are led by a multidisciplinary team of experienced growth leaders across strategy, insights, innovation, experience, and AI solutions—all with an eye on speed to impact.

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The Middle Manager Multiplier

Why investing in the next level of leadership unlocks organizational growth.

As corporate leaders assess company performance, raises and bonus distribution, it’s imperative that they prioritise middle managers. Middle managers are the linchpins of organizational health, translating strategy into execution, culture into action and performance into results. It defies reason why these dogged workhorses climbing corporate ladders don’t get the investments they need to help them soar before they lose their footing.

In a 2024 survey, 75% of millennial middle managers reported feeling overwhelmed, stressed, or burned out — and nearly half said they were considering leaving their roles. These managers are feeling pressure from all sides: 39% cited increased pressure from senior leadership, while 37% pointed to greater demands from their teams.

Same holds true for middle managers. It’s senior leaders who get the shiny new toys. They get up to bat first when there are exclusive training programs and executive coaching sessions to be had. First to get rewarded when performance metrics are met. Front-line workers are also nurtured and groomed, given access to tools and training while they settle in and grow. Not so much for those in the middle. They’re expected to translate, deliver and execute sans the tailored support they so often need.

What a miss.

According to Gallup, 70% of the variance in employee engagement is directly attributed to the manager. McKinsey reports that companies with strong managerial capabilities deliver returns to shareholders that are 21 times greater than those with weaker managers.

So what do middle managers really need — and how can organizations better support and unleash their potential?

1. Make Their Lives Easier

Middle managers are drowning in complexity. Simplify wherever possible: streamline workflows, reduce administrative burdens and equip them with intuitive tools.

And communicate with them. It’s one of their biggest pain points. Establish dedicated manager forums or communities to serve as both peer support and direct communication channels. Make information easy to access, tailored to their needs and rooted in shared experience — not buried in intranets or lost in long email threads.

2. Give Them a Seat at the Table

Managers are uniquely positioned. They have proximity to the front line, insights into customer pain points and an intimate view of what’s working — and what’s not — on the ground. Treat them as strategic partners and reward them as such. Create intentional touchpoints between middle managers and senior leadership to foster transparency, trust and dialogue. Share how decisions are made, invite their input and — critically — close the loop by acknowledging when their feedback influences change. Visibility into impact fuels engagement and retention. And it just feels good.

3. Support Them as People Leaders

Many middle managers were promoted for being strong individual contributors but haven’t received the support to evolve into effective people leaders. They’re expected to motivate, coach and lead — but may not have the tools to do so. Invest in them and the dividends will flow.

When a healthcare client was introducing a new, simplified purpose, leadership made the strategic decision to create manager-specific summits that made the content and experience accessible to this critical level of leadership. The content and training were tailored to this audience, focused on equipping managers to bring the new organizational mantra to life through day-to-day coaching and recognition, compared to more strategically for senior leaders. Participants voiced appreciation that middle managers were trusted and engaged to lead the rollout which fuel-injected its success.

4. Empower Their Decision-Making

Managers want to lead — not just follow orders. Give them autonomy, backed by the right guardrails. Allstate introduced a decision-making model where senior leaders took on the role of “navigators,” while middle managers were cast as the “drivers.” This metaphor wasn’t just symbolic — it represented a tangible shift in accountability and empowerment.

With senior leaders as coaches, not bottlenecks, middle managers gained confidence and clarity in their decision-making.

5. Recognise and Develop Them

Middle managers carry immense weight — yet their efforts often go unacknowledged. Recognition doesn’t have to be flashy. Career development opportunities, visible appreciation and meaningful decision-making authority all go a long way.

In fact, McKinsey found that middle managers value empowerment — such as being trusted to make decisions — just as much as financial rewards. So as the year winds down, consider both intrinsic and extrinsic motivators when designing recognition strategies.

​Unilever’s FLEX Experiences, for instance, gave talent the chance to raise their hand for new internal projects across the organization. Expanding the pool for talent beyond typical structures, the AI-powered program helped align individuals on passion projects.


FINAL THOUGHTS

Middle managers serve as the vital heartbeat of any organization, and they deserve a starring role rather than a seat in the wings. By clearing away the administrative cobwebs, elevating their strategic voices and fueling their growth as people leaders, companies unlock a treasure trove of untapped potential.

If you’re curious to explore how mastering middle manager management can become your secret competitive weapon, I’d be delighted to swap ideas over coffee. Let’s turn everyday chaos into triumph together.

Growth and Transformation: The CMO Paradox

Growth and Transformation: The CMO Paradox

Algorithm-Curated Culture 

03

The Ever-Collapsing Funnel 

04

AI is Changing the Game 

05

Brand and Performance: Escaping the Short-Term Doom Loop 

The brands that will lead are those that act now to future-proof their marketing engines by embedding AI with intent, uniting brand and performance, and investing in creativity that converts.  

Algorithm-Curated Culture 

03

The Ever-Collapsing Funnel 

04

AI is Changing the Game 

05

Brand and Performance: Escaping the Short-Term Doom Loop 

The brands that will lead are those that act now to future-proof their marketing engines by embedding AI with intent, uniting brand and performance, and investing in creativity that converts.  

What Comes Next?
Building the Reboot. 

What Comes Next? Building the Reboot. 

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Growth and Transformation: The CMO Paradox

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Uncommon Growth Leaders: A Conversation with Beth Wood and Brad Kaufman of Principal Financial Group

Uncommon Growth Leaders is an article series featuring bold leaders driving faster, smarter, more sustainable, more human and more actionable growth — what we call uncommon growth. 

In times defined by disruption, from market volatility and AI to geopolitical flux, growth must be designed, not assumed. For this installment of Uncommon Growth Leaders, Chiaki Nishino spoke with Beth Wood, Chief Marketing Officer, and Brad Kaufman, Head of Digital Marketing and Marketing Operations at Principal Financial Group, about what it really takes to lead with purpose, clarity and resilience. 

Beth, let’s start at the top. When everything around you is changing, how do you ground leadership? What’s most important to you in those moments of uncertainty? 

Beth: It starts with clarity of strategy, purpose and values. You need a strategy that recognizes the forces outside your walls and gives people something stable to hold onto. Once you’ve got that, you repeat it, over and over. I often say, communicate, communicate, communicate. 

And you can’t drift from your core values. Those have to stay constant no matter how much the world changes. At Principal, we make our values visible, literally. They’re on walls, desktops and in conversations. We measure ourselves against them. If we’re not living up to them, we act. 

The other piece is followership. You want to build an organization full of people who would follow you anywhere, not because they have to, but because they want to. That’s how you build trust. 

Followership isn’t about hierarchy; it’s about belief. People follow leaders who are consistent, transparent, and authentic, leaders who show them the “why” behind the work, not just the “what.” When your team understands the purpose, when they see that you’ll make the hard calls and stand behind them, that’s when loyalty and engagement take root. 

I tell my leaders all the time: your goal is to earn discretionary effort; the effort people give because they believe in you, not because it’s written in their job description. When you’ve built that kind of followership, alignment becomes effortless, communication becomes more direct, and performance accelerates. It’s not about charisma or being liked, it’s about credibility and care. People will follow you through ambiguity if they trust your intent and your direction. 

Brad, how does that show up in your day-to-day leadership? 

Brad: Consistency is everything. The best leaders don’t just communicate clearly once they keep reinforcing the same message until it sticks. Words matter, and how you use them shapes trust. 

Consistency doesn’t mean being rigid; it means being reliable. When people know what to expect from you, even in uncertain times, they can move faster and make better decisions. It builds confidence. If you’re changing direction every week or framing the story differently every time you speak, people lose track of what matters most. 

I remind my team that clarity compounds. Every time you repeat the same vision with the same intent, you’re reinforcing the signal in a world full of noise. Consistency gives your people something to anchor to, and that’s when influence becomes sustainable. 

And when it comes to driving transformation, we always start with the problem. Teams love to jump into solutions, but I bring them back to the core question: what problem are we trying to solve? Once that’s clear, alignment and creativity happen naturally. 

The past few years have been incredibly disruptive. How do you balance short-term performance with long-term vision? 

Beth: You have to think with both sides of your brain. Short-term results matter, but if you only chase the urgent, you’ll never innovate. Our teams understand their role in both horizons: to solve today’s problems and to imagine tomorrow’s opportunities. 

I tell my teams constantly; you have permission to think big. But people need to hear a long-term idea 10 or 20 times before they start to believe it’s real. Repetition turns aspiration into culture. 

Brad: Exactly. I always say it takes a thousand one-on-ones. You can’t just say the vision once and assume people internalize it. I literally pull out our original project decks months later to remind everyone where we started. 

And psychological safety is huge. If people don’t understand something — or disagree — they have to feel safe to say so. That’s how you keep people aligned and engaged for the long haul. 

Beth, how do you make sure your teams stay customer-centered, especially in a large, complex organization? 

Beth: We keep our finger on the pulse. We run monthly “pulse” surveys, maintain multiple customer panels, and manage the long-standing research called the Well-Being Index that tracks optimism and financial health among small and midsize business owners. 

We also co-create with customers. We ask them directly: how would this work for you? They always bring perspectives we’d never think of on our own. That collaboration builds better solutions and a stronger brand. 

Brad: And for people who don’t directly engage with customers, we build the mindset into the culture. Everyone should think like a student of the business, curious about what the customer is doing, and how it impacts their role. That outside-in perspective needs to be automatic, not occasional. 

When budgets tighten, how do you still foster creativity and innovation? 

Brad: It’s about bending the curve. Every team is asked to do more, with more complexity, at higher quality, in less time. That equation doesn’t add up unless you change how the work gets done. 

“Bending the curve” means finding leverage, through process improvement, smarter workflows, and, increasingly, technology. You can’t outwork exponential complexity, but you can outthink it. That’s where automation, data and AI come in. 

Our job isn’t to work harder; it’s to work smarter. That means auditing what’s manual and finding opportunities to automate, investing in skill development so the basics become second nature, and then deploying new tools to multiply impact.  

Beth: Our CEO made a commitment to train all 20,000 employees on using AI to improve productivity and customer experience. And it’s working. People are realizing it’s not about replacing work; it’s about freeing up time for higher-value thinking. 

The key is embracing it. The tools are here, but you have to be willing to learn, experiment, and use them to do things differently. 

You’ve both talked about performance and development. How do you manage that “vital middle” of performers — those who aren’t low performers but haven’t yet hit their stride? 

Beth: With clarity and courage. The top performers manage themselves. The middle is where leadership happens. I have regular “Why do you stay?” conversations because I want to understand motivation. 

Once expectations and skills are clear, the question becomes: are you filling the role we need? Half the time, people rise to the occasion. The other half, we talk openly about fit. Direct, transparent conversations are how you build trust. 

Brad: There’s nothing more motivating than the truth. You don’t have to be harsh, just real. People appreciate it when they know exactly where they stand. 

Beth, you’ve been described as a sponsor of talent. How do you think about growing leaders? 

Beth: I hire people for the job I think they’ll grow into, not just the one they’re hired for. With Brad, for instance, he came to me after 20 years at Principal and said, “I want to do something different.” That’s gold to me. I just needed to open the door, provide coaching, and get out of his way. 

I ask one question constantly: how can I help? That’s it. If people need me, I’m there. If not, I move aside. 

I also host something called The Orange Room, a casual, no-agenda session every few weeks where anyone in my organization can ask anything. It builds transparency, trust, and connection. 

Leadership isn’t just about skills, it’s about mindset. How do you build resilience in your teams? 

Brad: For me, resilience starts with perspective. I encourage my team to step outside their own viewpoint, especially in moments of tension or frustration. When conflict happens, I’ll ask, “What’s the other person thinking right now?” or “What do they see that you might not?” 

It sounds simple, but that question resets everything. It slows the reaction, diffuses defensiveness, and shifts people from emotion to curiosity. When you practice that regularly, it becomes a leadership muscle. You stop seeing challenges as personal attacks and start seeing them as opportunities to understand context and improve outcomes. 

Resilience isn’t about being unshakable; it’s about being adaptable. It’s the ability to take feedback, reframe setbacks and move forward with perspective. And when leaders model that it cascades through the team, people start mirroring calm instead of chaos. 

Beth: I completely agree. A big part of resilience is choosing how you interpret what’s happening around you. You have to assume positive intent and that can be hard when you’re under pressure. But most people aren’t out to make your life difficult; they’re simply trying to solve their own set of problems. If you can start from that mindset, conversations become more productive and you stay in control of your own energy. 

Another dimension is discernment. I always remind my leaders that not every battle is worth fighting. Every hill isn’t a hill to die on. Part of resilience is knowing when to engage deeply and when to let something go. Leaders who can focus on what truly matters, who can separate the noise from the signal, move faster and inspire confidence in others. 

I also think resilience grows from community. People are more resilient when they feel seen and supported. When leaders create space for honesty, vulnerability and reflection when they normalize saying, “This week was hard” that’s when resilience becomes collective, not just individual. 

Brad: Yes, and it’s contagious. When you model composure and curiosity under pressure, it gives everyone permission to do the same. That’s how you create a culture that bends without breaking. 

Personally, how do you both stay inspired and balanced as leaders? 

Beth: Watching my daughter play hockey grounds me, its joy, pure and simple. I also read constantly, mostly business books and blogs like Seth Godin and Simon Sinek. I pull one or two takeaways from each and apply them. If they work, I keep them; if not, I move on. 

Brad: I’ve tried to make my job about what I love: technology, data, process. When you align your work with what energizes you, you don’t burn out. 

And I protect my time. Nights and weekends are sacred. I tell my team the same; rest isn’t a luxury, it’s a performance strategy. 

Before we wrap, anything we didn’t cover that feels essential to uncommon leadership? 

Brad: We don’t talk enough about leading humans. There’s no playbook for when someone’s parent is sick or their kid’s struggling. You can’t lead effectively if your relationship is purely transactional. 

Beth: Yes, and that care has to be real. People can tell when it’s performative. Be authentic, be vulnerable and let people see who you are. That’s how you build trust. 

And remember: every person on the team has a role. As John Wooden said, everyone must know their role and trust that others will perform theirs. When you have that trust, everything else flows. 

Chiaki: Beautifully said. Thank you both for sharing so openly. What stands out to me from this conversation is how practical and human great leadership really is. It’s not about having all the answers about building trust, showing care and helping people find clarity in complexity. The way you balance both purpose, performance and empathy is exactly the kind of leadership that fuels uncommon growth. 


Beth Wood is Executive Vice President and Chief Marketing Officer at Principal Financial Group®, where she leads the Global Brand & Experience team in shaping and stewarding the Principal brand worldwide. With more than 30 years of experience spanning financial services, healthcare and consumer goods, Beth is known for aligning global organizations around customer-leveraging data, analytics and technology to create meaningful, measurable experiences that drive growth. She also serves as Chair of both the company’s Sustainability Task Force and the Principal Foundation. Before joining Principal in 2019, Beth held senior marketing leadership roles at Guardian Life, Frito-Lay, Johnson & Johnson and MassMutual. 

Brad Kaufman is an accomplished digital transformation executive with nearly 25 years of experience driving enterprise-scale change at Principal Financial Group. As Head of Digital Marketing and Marketing Operations, he leads initiatives that connect strategy, operations and technology to modernize marketing and enable data-driven, connected customer experiences across global and U.S. markets. Known for aligning complex organizations, Brad advances marketing capabilities and operational excellence to accelerate outcomes, elevate digital maturity and deliver measurable business impact at scale. 


FINAL THOUGHTS

This conversation is part of our ongoing Uncommon Growth series, where we explore what’s possible when senior leadership aligns not just on strategy, but on how to achieve uncommon growth. Personify Health’s journey — powered by a strong CEO-CMO partnership, a new brand and bold thinking — offers a blueprint for driving performance through clarity, trust and creative disruption. 

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Speed AND Soul: Why AI Transformation Needs Humanity, Not Just Algorithms 

Protecting your culture from AI transformation will require human-centered change. 

The Illusion of Speed and Simplicity 

We live in an age of AI hype: infinite value, instant transformation, and algorithms that solve all types of problems. But as Paul Hlivko warns in Harvard Business Review, those headlines often mask a much slower, more friction-filled reality: “AI will transform industries … but on enterprise time: longer, slower, and with far more friction than most expect.” According to the article, corporate leaders routinely make six core mistakes, including underestimating the time needed, overestimating adoption, and obsessing over the models instead of the real, sustainable systems.  

This aligns with what we see in practice: many AI transformation programs default to a standard consulting playbook — assess, reengineer, select technology, train, integrate, roll out. That is not wrong — but it’s insufficient. The promise of rapid returns often collides with legacy systems, cultural resistance, risk-averse governance, and organizational inertia. When execution lags, stakeholders grow impatient. Business cases underdeliver. Trust erodes. And the opportunity to capture exponential value slips away. 

The Two Risks That Leaders Rarely Face Head-on 

1. Underperformance: The Gap Between Expectation and Delivery 

Even with strong investment, many AI programs will land somewhere in the “incremental improvement” zone rather than delivering dramatic transformation. According to KMPG’s 2025 Global CEO Outlook, leaders are betting big on AI — but they’re acutely aware that culture, adoption, and trust are real constraints:  

  • 71% of CEOs say AI is a top investment priority. 
  • 69% plan to allocate 10–20% of budgets to AI.  
  • Yet 63% of CEOs express concern about AI’s impact on culture.
  • 33% see employee resistance to change as a serious barrier. 

To HBR’s point: the world believes in rapid adoption, but in reality, enterprise adoption is often slow, uneven, and delayed by legacy constraints.  

The result? Many organizations operate under a “speed illusion” thinking they’re moving fast, but really lagging in impact, adoption, and value captured. While CEOs are aware of the issues, they are not necessarily addressing them head on. 

2. Cultural Erosion: The Risk of Becoming Soulless 

Even when AI “works,” it can hollow out what makes organizations human.  

HBR refers to fact that “We are automating work without really understanding it.” Many tasks involve “connective labor”, the human act of seeing others and reflecting understanding; something no algorithm can replicate. When machines take over more of what people used to do, employees start questioning their role and relevance. What remains if your unique ideas, judgment, or moral instincts are replaced by algorithmic suggestions? 

Worse still, cutting out swathes of humans to be replaced by machines, like recent Amazon and UPS announcements to lay off 14,000 and 48,000 people respectively, spreads fear like wildfire. Remaining employees will be looking over their shoulder every day while they try to learn new processes/tools all while silently second guessing their own identity/worth/value as knowledge workers and experiencing survivor guilt over their departed peers. 

Organizations are inherently social and human. Unchecked, AI transformation can erode purpose, identity, and distinctiveness—leaving behind a high-efficiency shell that feels no different from any other. In the worst case, leaders may wake up in a faster, but hollow firm, bleeding any talent that remains. 

The Leadership Challenge: Balancing Technology with Humanity 

The paradox is stark: you need both speed and soul. You need technology execution and human-centered change. Too much reliance on process and systems, ignoring identity, narrative and belief, and you risk cultural collapse. Too much focus on people without execution rigor, and you risk underwhelming returns. 

The leaders who win in this era embrace a third path: integrative transformation, where machines and humans are co-designers of the future. 

What does that require? 

  • A change narrative that connects AI to purpose, identity, and meaning — not just efficiency. 
  • Leadership that can manage emotional truth, change fatigue, and scepticism, not just process rollout. 
  • Investment in a culture of experimentation, trust, and iteration — so AI adapts with you, not against you. 

What it Looks Like in Practice 

  • Start small, learn fast: Use early AI pilots to test the interplay of tech and culture before scaling. 
  • Layer on change ignition: Don’t just train — it matters how you engage, narrate, and embed belief in your people. 
  • Protect the “connective labor” parts: Recognize where human judgment, empathy, and identity still matter (and always will). 
  • Design for endurance, not demos: Move beyond one-off AI initiatives to sustained systems, governance, and cultural habits. 

At Prophet, our core offer sits here: we amplify AI transformations by ensuring that it is not just delivered — but believed, felt and owned by the organization. This is human-centered change. We don’t just help change processes. We help you become the transformed organization. 

Read our report, Human-Centered AI: Culture as the Catalyst for AI-enabled Growth, for more recommendations to prepare your organization for AI transformation here  

There Has Never Been a More Important Time for Organizations to be Human 

AI transformation is no longer optional — it’s happening, whether you lead it or are swept up by it. But most will not achieve it in the way that they imagine it. The most likely scenario is that change will be executed slowly, overbudget, and without meaning. You have choices; deliver speed but lose your identity, protect your culture but lag behind in impact or integrate both — becoming faster, more distinct, more human. 

In a world racing toward automation, the greatest prize isn’t just efficiency — it’s being more human than ever. 


FINAL THOUGHTS

Prophet was proud to be recognized in Forrester’s Organizational Change Management (OCM) Services Landscape, Q4 2025 report. Learn more in Forrester’s full report, available to Forrester subscribers and for purchase. 
 
Our work at Prophet helps leaders align culture with purpose, strategy and brand to catalyze rapid, sustainable and profitable growth. We believe Forrester’s landscape affirms what we see every day: organizations that take a human-centered, data-driven approach are able to unlock the shifts that drive uncommon growth. Learn more about our solutions. 

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Brand and Culture: At the Intersection of Uncommon Growth

When brand and culture align, organizations gain credibility, differentiation, and sustainable growth.

Innovation may spark growth, but credibility sustains it—and that credibility comes when brand and culture are working as one. Once treated as separate, brand—the external articulation of promise—and culture—the internal reality of behavior—are now inseparable. Their integration is essential for authenticity, differentiation, and long-term resilience. At their intersection lies the potential for uncommon growth—growth that is faster, more sustainable, and deeply human. Organizations that recognize this interdependence are better positioned to deliver consistent experiences, inspire trust, and achieve sustainable success. 

Defining the Relationship

A brand is more than a logo or tagline; it is the collective perception people hold of an organization, shaped by every interaction and experience. Culture refers to the shared values, beliefs, and behaviors that guide how employees work and interact. Brand answers, ‘Who are we to the world?’ while culture answers, ‘Who are we to each other?’ When they reinforce one another, employees live the values and customers experience them authentically. This alignment strengthens trust, attracts talent, and enhances reputation.

Example: Salesforce promises to be a trusted digital transformation partner. Its *Ohana* culture emphasizes trust, customer success, innovation, and equality—making the brand’s promise credible in every client interaction. This alignment not only fuels customer loyalty but also attracts talent seeking purpose-driven work.

Executing the Promise

Brand shows up in expression—design, messaging, voice. Culture shows up in behaviors—leadership choices, systems, daily interactions. When they diverge, credibility is lost, and the promise risks becoming superficial. Employees are often the first to sense these gaps; if they do not feel empowered to deliver, customers inevitably see through the disconnect. When alignment is achieved, however, it becomes a multiplier of uncommon growth, ensuring that ambition translates into performance and perception into loyalty.

Example: Siemens’ brand, *Ingenuity for life*, is supported by cultural initiatives that encourage collaboration, agility, and digital skills. This ensures employees can deliver credibly on its transformation narrative and maintain trust with both industrial clients and public stakeholders.

Culture as Competitive Advantage

Organizations today are not only evaluated on what they sell, but on how they operate and what they stand for. As markets shift toward values, experiences, and purpose, culture becomes a decisive differentiator. A hospitality brand, for example, can only deliver on its promise of warmth and empathy if those values are embedded in the internal environment. Employees who experience alignment between external promise and internal culture are better positioned to embody and extend those qualities to customers, strengthening both reputation and performance.

Example: Patagonia empowers employees to live its sustainability values through activism and company-supported programs. This alignment strengthens its purpose-led brand and builds loyalty among customers. Employees are not just ambassadors of the brand—they are co-creators of its meaning.

Evolving Together

Brand without culture is superficial. Culture without brand risks insularity. The strongest organizations treat the two as a feedback loop: culture informs the brand promise, and the brand promise reinforces cultural behaviors. This dynamic relationship must evolve as markets, technologies, and stakeholder expectations shift. Leaders who intentionally nurture this cycle ensure their organizations remain relevant and credible over time, even as conditions change. 

Example: American Express promises premium service and trust. Its culture empowers employees to solve problems with a customer-first mindset. This loop sustains both loyalty and pride, allowing the company to consistently deliver on its positioning as a relationship-driven brand. 

The Leadership Imperative

Alignment is not accidental—it requires leadership. Executives must act as the bridge between brand and culture, embedding values into governance, incentives, communications, and daily practice. Leaders are uniquely positioned to signal priorities and reinforce behaviors that make the brand real. When leadership embodies the connection, alignment cascades across teams and functions, creating momentum that drives both internal engagement and external performance. In many organizations, this leadership accountability has become the single most important factor in sustaining relevance and unlocking value. 

Example: At Target, CEO Brian Cornell linked the brand promise of affordability with style to cultural renewal. He raised wages, invested in engagement, and embedded inclusivity—ensuring the external promise of helping families discover everyday joy was fully supported internally. 


FINAL THOUGHTS

The organizations that win tomorrow will treat brand and culture not as parallel efforts but as one unified system. This alignment provides clarity of purpose, cohesion of action, and consistency of experience. At its best, it is the catalyst for uncommon growth—growth that is resilient, differentiated, and deeply trusted by all stakeholders. Together, brand and culture create the foundation for trust, differentiation, and enduring success—an essential advantage in a world where credibility is the ultimate currency.

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