Why Digital Dexterity Matters More Than Technology in Business Transformation

By Staff Writer | Published: March 6, 2026 | Category: Leadership

After studying over 8,300 leaders across 109 countries, researchers found that digital transformation success hinges not on technology, but on building a workforce willing and able to leverage it through fundamental culture change.

The digital transformation paradox has puzzled business leaders for years: despite massive investments in cutting-edge technology, most organizations struggle to realize meaningful returns. New research from Harvard Business School offers a provocative explanation—leaders have been solving the wrong problem.

In their comprehensive study published in MIT Sloan Management Review, Linda A. Hill and her research team examined over 8,300 leaders across 109 countries and 11 industry sectors. Their finding challenges conventional wisdom: successful digital transformation is fundamentally a workforce and culture challenge, not a technology implementation problem.

Reframing the Digital Transformation Challenge

The research reveals a critical insight that distinguishes successful transformations from failures. Leaders making substantial progress have moved beyond viewing digital transformation as deploying new technologies or enhancing digital literacy. Instead, they focus on building what the researchers term a “digitally dexterous workforce”—employees who are both willing and able to leverage new technologies to deliver innovative solutions.

This reframing represents a fundamental shift in leadership thinking. Rather than asking “What technology should we implement?” successful leaders ask “How does work need to get done today, how does digital fit in, and how do we fit people into the picture?”

The research identifies five critical organizational characteristics that define digitally dexterous organizations:

Each year since 2021, survey respondents have consistently identified these same five characteristics as most important for building digital agility.

A healthcare system case study illustrates this approach. Rather than simply implementing new digital tools, leadership recognized that integration would require fundamental cultural and operating model shifts. They invested in user-friendly, empowering technology while ensuring IT, business intelligence, and organizational effectiveness groups worked collaboratively. Critically, they consulted with physicians and nurses about design and implementation, introducing a self-service model that enabled caregivers to access insights, not just raw data.

The results proved transformative. Nurses began running A/B experiments as part of daily routines. Physicians and nurses collaborated with IT and BI teams on patient wait-time dashboards, coordinating communication and care in real time. One executive remarked that staff engagement reached the highest levels he had witnessed.

This contrasts sharply with organizations taking a technology-first approach. As one executive noted, their efforts stalled because they were “putting software on top of conventional organizational structures and processes” rather than transforming how work gets done.

The Imperative of Top Leadership Engagement

The research data reveals a striking pattern: organizations where the CEO or C-suite leads the digital transformation process report significantly more progress than those where leadership delegates responsibility. Among surveyed organizations, 35% had CEO- or C-suite-led transformations, and these companies consistently outperformed peers.

This finding underscores that digital transformation requires holistic change across the enterprise, making senior leadership involvement non-negotiable. The most successful leaders demonstrate commitment through active engagement and dedicated time and attention to change efforts. They walk the talk, modeling the mindsets and behaviors they expect throughout the company.

A global manufacturing company exemplifies this principle. The CEO stayed close to the high-priority initiative of democratizing innovation for 10,000-plus employees by working directly with his executive team and chief of staff. The company launched a digital platform for employees to submit and review innovative solutions. Senior leadership monitored ideas gaining traction and funded promising proposals. Every quarter, the CEO attended presentations from nominated individuals and teams, despite his busy schedule.

This high level of engagement sent powerful signals throughout the organization. Many employees described how his involvement encouraged them to develop and bring forth new ideas for improving processes or growing the business. One proposal led the CEO to ask the CTO to assemble a team to explore and scale the idea, ultimately launching a new market segment.

The research also highlights the growing importance of leader “data savviness.” Nearly half of 2025 survey respondents identified it as the third most important leadership quality in leading transformation, after adaptability and curiosity. Significantly, 80% of respondents reporting greater progress described their C-suite as “very tech savvy” or “extremely tech savvy,” compared to only 36% of those reporting less progress.

Interestingly, early surveys did not identify data savviness as critical for leaders. The researchers believe generative AI’s advent has led executives to understand that while they do not need in-depth technical knowledge, they must “understand the digital context, language, trends, and opportunities.”

One leader charged with building an AI-driven clinical supply chain recognized his senior team had to drive change from the top. He enrolled in an executive education class to better understand AI and the requirements for building digital and cultural infrastructure. He then designed training for his leadership team based on the curriculum and required everyone to attend. All leaders worked with their teams to generate AI use cases for their functions and the enterprise.

The executives were surprised by the volume of innovative ideas their teams generated. They also learned about AI’s limits, financial costs, and associated enterprise risks and ethical dilemmas. As the senior leader noted, “If the most senior leader in the group wants to ask his team to do something, then they need to invest enough time to learn about the technology themselves.”

Building Bridges Across People and Perspectives

Successful digital transformation leaders understand that attending to culture and employee anxieties about change is critical. This is where curiosity and empathy become essential leadership qualities. Leaders must engage in dialogue with people throughout their organizations and create psychologically safe spaces where people can speak honestly about their feelings toward technology.

The research introduces the concept of leaders as “bridgers”—individuals who figure out how to build partnerships across organizational boundaries by translating across differences in priorities, constraints, capabilities, and working styles. Bridgers establish common language and create opportunities for productive interactions to foster relationships based on mutual trust, commitment, and influence.

Rhetoric matters significantly in bridging efforts. The leader who set up AI training for his team called it “augmented, not artificial, intelligence,” emphasized how technology could make team members more innovative rather than just more productive, and spoke of the need to “evolve” rather than “change.”

Effective bridgers do not write anybody off; they try to bring everyone along. They listen to individuals and avoid making assumptions about attitudes based on demographic characteristics. One Latin American executive noted that sometimes the most excited about technology were older employees, challenging common age-related assumptions.

Differences often emerge between external hires brought in to accelerate digital processes and long-tenured employees with institutional knowledge, as well as between business and technology teams, different functions, regions, and generations. As one leader observed, “Some parts of the organization are more advanced than others.” Leaders need to show support to those who are lagging, discouraged, or worried.

A Latin American food technology company created a system where everyone hired for the corporate office spent a week in company food kitchens as part of onboarding, understanding the opportunities and challenges of digitizing front-line processes. This created a more open and collaborative environment where people felt comfortable asking questions and learning across levels.

An airline company leader charged with launching digital solutions worked to connect every division with external partners including research institutions, universities, startups, and venture capital firms. She hired a dedicated team of bridgers capable of engaging with diverse stakeholders and introduced design-thinking workshops to familiarize people with multifunctional, experimental, customer-focused ways of working.

Their efforts included creating a biometric boarding pass, requiring collaboration across IT, operations, and marketing, plus partnerships with a biometric tech startup and government border and security agencies. By bringing diverse groups together, translating across perspectives, and integrating new technologies, this leader exemplified how embracing differences can result in a more digitally agile workforce.

Sustaining Long-Term Commitment

The research confirms what many leaders suspect but few publicly acknowledge: culture change takes substantial time. Those reporting more progress on digital transformation journeys had been at it for extended periods. However, time alone proves insufficient—investments in digital tools and data do not pay off until people develop the new mindsets and behaviors required to fully benefit from them.

One executive initially thought digital transformation would take three years to execute. A few years in, he realized how wrong he was. His organization’s digital transformation took almost eight years. The company had many legacy systems and spent six years just building a data marketplace and centralizing data into “one single source of truth.” Digital tools and data were merely enablers; real progress hinged on having a digitally dexterous workforce, which naturally took longer to develop.

Sustaining long-term commitment meant embedding digital strategy into daily operations and long-term talent strategy. A decade into the journey, the corporate business strategy was revised to reflect that digital tools and data would become distributed throughout the organization and part of work itself rather than residing in a separate cost center of excellence. Under the new strategy, as one leadership team member noted, “there was no mention of AI or digital transformation. It’s just assumed now.”

As digital became more integrated, the leader ensured that training and upskilling opportunities for talent development were continuous rather than one-time events. He worked directly with HR to devise a list of critical skills, including AI as a digital technical capability, that leaders would need to drive innovation. More companies are reviewing talent management systems to build an “AI-first culture” and define how digital can be infused into long-term talent systems.

Throughout the integration process, the leader sustained energy and commitment by setting milestones, periodically assessing and celebrating progress, and annually supplementing engagement surveys with targeted culture assessments. “Sometimes we need to remind ourselves of how far we’ve come,” one leadership team member reflected. “We forget the amount of change sometimes.”

Survey data indicates that leaders making progress in building enduring digitally dexterous workforces increasingly recognize that accelerating transformation often requires forging partnerships with outside organizations. These moves tend to happen five or more years into transformations and are often done to gain access to new digital technologies and valuable external data sources. Leaders acknowledge that collaborating with different organizations may be challenging, and they may want to wait until their own culture and capabilities reflect the collaborative mindset and behaviors they hope to access externally.

The Generative AI Reality Check

The research reveals a dramatic shift in leadership perspectives on AI’s impact. In 2024, 80% of surveyed leaders thought generative AI benefits would be complementary to human work, while 20% thought it would be substitutive. Just one year later, in 2025, only 53% believed it would be complementary, while 43% thought it would be substitutive.

This striking change reflects growing realism about workforce displacement. Leaders who have made more progress with digital dexterity acknowledge that not all employees will become digitally dexterous, and some will be replaced by technology. Some leaders reported “early retirements” and “rightsizing” at their organizations.

This sobering reality makes the cultural transformation imperative even more critical. Organizations that have invested in building trust, psychological safety, and continuous learning capabilities are better positioned to navigate workforce transitions with transparency and support for affected employees.

Critical Analysis and Broader Implications

The Harvard research team’s findings align with broader industry evidence. McKinsey research consistently shows that only 20–30% of digital transformations succeed, with cultural barriers cited as the primary failure point. A 2024 MIT Sloan Management Review and Deloitte study found that companies focusing on workforce experience and culture change are five times more likely to achieve transformation goals.

However, the research raises important questions that merit deeper examination. The emphasis on CEO-led, top-down transformation may overlook successful grassroots digital innovation or the critical role of middle management in driving change. While the authors acknowledge that transformation takes 5–8 years, Boston Consulting Group research suggests that with proper methodology, meaningful AI integration can occur in 18–24 months, presenting an alternative timeline.

The study’s cross-sectional survey design, while involving impressive sample sizes, does not permit proof of causality. The researchers acknowledge this limitation, noting that “the same patterns of relationships emerged consistently across four years of surveys, roundtable conversations, and longitudinal case studies, lending confidence to this narrative.” Nevertheless, questions remain about whether cultural transformation drives digital success or whether early digital wins create momentum for cultural change.

The research also touches only briefly on the ethical dimensions of workforce transformation. As AI capabilities expand and the perception shifts from complementary to substitutive, organizations face profound questions about their social responsibilities to displaced workers, communities, and broader stakeholder ecosystems. The acknowledgment of “early retirements” and “rightsizing” deserves more critical examination.

Different industries may require varied approaches beyond the four-practice framework. Healthcare transformations involving patient safety concerns demand different risk tolerances than retail or financial services transformations. Manufacturing organizations with large frontline workforces face different bridging challenges than knowledge-work-intensive professional services firms.

Lessons for Business Leaders

Despite these considerations, the research offers valuable guidance for business leaders navigating digital transformation:

The Leadership Imperative

The research team concludes with a powerful observation: organizations take on their leader’s mindset, values, and behaviors. Leaders who want to build digitally dexterous workforces must examine what behaviors and values they radiate.

Are they upskilling and reskilling themselves? Are they making opportunities to experiment with emerging digital tools? Are they sending consistent signals through rhetoric and actions to encourage nimbleness in the face of continual technological change? Are they building bridges between people while remaining empathetic and inclusive? Are they enabling reinvention through curiosity, continuous learning, and adaptation?

As one Asia-Pacific executive told the researchers, leaders are now tasked with “unlearning” and “deconstructing” themselves to “make room for a new form of leadership.” Another reflected, “We must change the way we work and lead.”

This represents a fundamental shift in leadership identity. The command-and-control leader who makes decisions based on experience and intuition must evolve into a bridging leader who creates conditions for collaborative experimentation, data-informed decision-making, and continuous learning.

The digital technologies themselves—artificial intelligence, machine learning, advanced analytics, and the Internet of Things—will continue advancing at an accelerating pace. But technology advancement alone will not determine which organizations thrive. That outcome will be determined by which leaders successfully build workforces that are willing and able to leverage technology for innovative problem-solving and value creation.

The research makes clear that this is not about what leaders do but how they do it. The four practices—reframing the challenge, engaging from the top, bridging people and perspectives, and sustaining long-term commitment—represent not a checklist to complete but an ongoing leadership posture to embody.

As the researchers note, the future belongs to leaders who embrace this fundamental truth: successful digital transformation is not about implementing technology. It is about transforming how people work, think, and collaborate to take full advantage of what technology makes possible. That transformation begins with leadership.