Leadership gives digital transformation its direction. Leaders need to turn broad aims, such as “use AI better” or “improve digital services”, into a clear purpose that people can understand. This includes the problem being solved, the value expected, the people affected, the boundaries for safe use, and the evidence that will show whether the change is working. Vial (2019) describes digital transformation as significant organisational change triggered by digital technologies, so leaders need to think beyond the tool itself and consider processes, skills, culture, data, and customer or user experience together.
A first responsibility is strategic alignment. Leaders decide which digital opportunities support priorities such as productivity, quality, growth, resilience or better decision-making. They should also challenge projects that are popular but do not have a clear purpose. Westerman, Bonnet and McAfee (2014) distinguish digital capability from leadership capability: organisations need technology and data, but they also need vision, governance, engagement and coordination to turn them into value. Leaders make this connection visible through a practical change story, realistic milestones and outcome measures, not just targets for using a new tool.
A second responsibility is creating the conditions for adoption. People may have reasonable concerns about job redesign, monitoring, loss of skill, errors or loss of professional judgement. Leaders can make the change more relatable by starting with the work people actually do, not with the technology. Khalid (2026) recommends starting with meaningful work, making reskilling practical and building alliances across business, people, technology, legal and risk functions. Leaders should involve employees in workflow design, explain what will change and what will remain human-led, provide safe opportunities to practise and respond honestly to concerns. Culture matters because digitally mature organisations learn, collaborate and experiment rather than expecting one perfect rollout (Kane et al., 2019).
Leaders also align resources and structures around the change. In practice, this may mean appointing a sponsor, involving the right teams early, protecting time for learning and making sure suppliers do not become the default decision-makers. Leaders need to monitor benefits, adoption, quality and unintended effects, then use feedback to adjust the approach.
Leadership style affects how the change feels to others. Transformational leadership can create energy by communicating a strong vision, challenging old assumptions and encouraging innovation (Bass and Riggio, 2006). It is useful when people need a shared sense of direction, but enthusiasm still needs evidence and controls. Situational leadership adapts direction and support to people’s confidence and competence (Hersey, Blanchard and Johnson, 2013). For example, a team new to AI may need clear boundaries, demonstrations and close coaching, while an experienced team may need more autonomy to test and improve solutions.
Inclusive or servant-oriented leadership brings employee voice, accessibility and stakeholder impact into decisions. This helps leaders spot practical barriers and potential harms that might otherwise be missed. However, consultation should still be focused, with clear decision rights and timescales. Adaptive leadership is useful when the solution or risk is uncertain. Leaders frame the challenge, test options, learn from evidence and adjust the approach rather than defending the original plan (Heifetz, Grashow and Linsky, 2009).
CMI refers specifically to a digital-first leadership style (CMI, 2026). This is best understood as a mindset rather than a fixed theory. A digital-first leader asks how data, connected systems, automation and digital collaboration could improve value and work. They role-model digital learning, use evidence in decisions, enable controlled pilots and treat digital capability as a strategic priority. Digital-first does not mean technology-first. CMI (2016) warns that leaders can lack the mindset needed to reimagine the organisation with digital at its core; responsible leadership still starts with purpose and people.
For AI-enabled transformation, leadership also includes governance accountability. Leaders must consider lawful and ethical use, security, appropriate tools, monitoring, skills and meaningful human control (Cabinet Office and DSIT, 2025). They set decision rights, escalation routes, review points and stop rules, while keeping human ownership of consequences. The strongest approach is usually blended: transformational vision, situational support, inclusive engagement, adaptive learning and a responsible digital-first mindset. The style should change with the risk, readiness and stage of transformation, while purpose, transparency and accountability remain constant.
Action Point
Choose one current or planned digital initiative in your area of work. Write one sentence explaining its purpose, the outcome it should improve and who will be affected. Then decide which leadership style is most useful at each stage: setting direction, engaging people, piloting, implementing and reviewing. Note one adoption risk, where human accountability remains and what evidence would justify scaling, changing or stopping the initiative.