Leadership Skills in 2026: Why the Skills Leaders Rank Last Are the Ones AI Makes Most Valuable

For years, the conversation about artificial intelligence and leadership focused on whether people would adopt the technology. In 2026, that debate is largely settled. Leaders are using AI, reporting productivity gains and folding it into daily work. The harder question is whether they can judge its output, guide its use and help teams adapt.

New findings from DDI’s Global Leadership Forecast 2027 point to a striking leadership paradox: the capabilities leaders say they most want to build are strategic, while several of the human skills they rank last may determine whether those strategies work. AI makes that imbalance harder to ignore. Technology can produce a recommendation quickly. It cannot take responsibility for the consequences or build the trust needed to put a good recommendation into practice.

The scarce resource is no longer access to AI. It is human judgment.

The gap between AI adoption and leadership capability

AI is already part of many leaders’ work. DDI reports that 81% of leaders see productivity gains and 75% say AI has improved the quality of their work. Yet only 10% of HR professionals say leaders use emerging technologies successfully. Just 14% of leaders feel very prepared to use them, and 16% feel very prepared to guide their teams’ adoption.

The governance picture is also thin. Only 18% of leaders say anyone checks AI output quality, and just 22% say their organization has a clear AI policy. Where a clear policy exists, output checking rises from 18% to 50%. Rules help establish expectations, but they cannot supply discernment.

Other research points to the same capability challenge. Gartner reported in October 2025 that only 8% of HR leaders believed their managers had the skills to use AI effectively, and only 14% of organizations provided managers with support for integrating generative AI into daily workflows. Harvard Business Impact’s 2026 Global Leadership Study likewise found that only 8% of leaders received its highest rating for AI fluency.

The structural problem is clear: adoption is moving faster than readiness. Speed is visible. Clarity is harder to build.

Why the lowest-ranked leadership skills matter most

In DDI’s survey, leaders most often identified driving innovation (40%), managing change (39%) and setting strategy (38%) as skills they need to develop. Empathy ranked last among 15 capabilities at 17%. Building trust and communicating effectively each ranked at 21%.

That ranking can make interpersonal capability seem secondary. It isn’t. These skills are the delivery system for the strategic ones. Change lands through communication. Strategy depends on trust to move from presentation to execution. Innovation requires people to feel safe enough to offer a rough idea, question an assumption or admit that an early attempt failed.

The mismatch is not simply a matter of leaders choosing the wrong training. It reflects how the job is understood. Strategic work is often visible on a plan or dashboard; trust, listening and empathy can look less measurable. But when those human skills are absent, change can stall and strategy can remain a document.

This is why the paradox matters for personal development and professional growth. Building leadership skills is not just acquiring a new capability. It is understanding how less visible skills make visible outcomes possible.

Leaders rely on AI where they want less development

DDI’s findings show that leaders use AI most in areas where they report relatively little appetite for development. Communications are the most common use, at 49%, even though communication ranks 13th in leaders’ development priorities. Forty percent use AI to analyze data and make decisions, while critical thinking ranks ninth.

The people-centered work is treated differently. Leaders use AI least to identify employee needs (12%), personalize development (11%) and monitor performance (7%). Coaching and developing people remain largely human responsibilities.

That divide deserves attention. An AI-generated message still needs a leader who understands the audience, the relationship and what the words might mean in context. An AI-supported decision still needs someone able to question the assumptions, examine the evidence and own the outcome.

In other words, the interpersonal skills leaders may be tempted to delegate are also the standards by which they should assess what AI produces. A leader who does not know how to communicate well will struggle to judge an AI-drafted message. Someone who has not practiced critical thinking may overlook a weak inference in an analysis. DDI found that leaders who prioritize checking AI outputs are 1.3 times more likely to want development in critical thinking.

Review is not administrative overhead. It is leadership work.

Empathy is a force multiplier, not a soft extra

The evidence does not suggest empathy is a substitute for technical fluency. It suggests human capability and AI readiness work together. DDI reports that when leaders listen and respond with empathy, teams report 42% higher productivity from AI and 61% higher output quality. These are reported associations, not proof that empathy alone causes the gains. Still, the pattern is meaningful: how leaders treat people appears connected to how teams use the technology.

Organizational conditions matter too. DDI identifies five enablers of effective AI use, including a clear policy, permission to experiment, senior leaders who model learning, and clear leadership expectations. When all five are present, HR is 13 times more likely to rate leaders as capable of using AI effectively.

The same principle applies to leadership development. Only 28% of organizations invest in both strategic and interpersonal capabilities across the eight skills at the top and bottom of the list. Those organizations report 80% higher leader quality and are 2.1 times more likely to expect a strong leadership bench three years ahead.

A new technology does not remove the need for trust. It raises the stakes around it.

A practical playbook for individual leaders

The response is not to resist AI or treat every interpersonal skill as a separate course. It is to make judgment and human capability part of how work gets done.

1. Define where AI belongs, and where judgment must stay human. For recurring tasks, identify what AI can draft, summarize or analyze, and what requires a person to validate context, risk and consequences. Check your organization’s policy; if expectations are unclear, ask for them. A tool should not silently become the decision-maker.

2. Make output review a real part of the job. Before using AI-generated work, check its claims, assumptions, sources, tone and fit for the intended audience. When the stakes are high, seek a second review. This practice builds critical thinking because it forces you to compare a plausible answer with what you know to be sound.

3. Connect interpersonal skills to strategic programs. If you are leading a change initiative, treat it as a communication and trust program as well as an implementation plan. Explain what is changing and why, invite questions, listen for resistance and respond to concerns rather than simply repeating the announcement.

4. Start developing leadership skills before you have a leadership title. DDI found that innovation, change and strategy rank among the top development needs at every level, from individual contributors to the C-suite. Look for opportunities to coordinate a project, explain a decision, mentor a colleague or improve a process. Leadership practice can start before a promotion does.

5. Take obsolescence anxiety as a signal to seek development. Eighty-seven percent of leaders are concerned that their skills may become obsolete. Among those definitely concerned, DDI found a 5.1-times greater likelihood of intending to leave. Development is not a guarantee of retention, but the findings suggest it belongs in the conversation about whether people can see a future where they are. Ask for feedback and a stretch assignment that builds skills you will need next.

These steps make leadership development part of the work, not an extra task competing with it. For more on skills that endure through change, explore Our Success Journey’s article on personal development in 2026.

The operating system beneath the technology

AI can help leaders move faster. It cannot decide on its own what deserves attention, how a change will affect a team or whether a confident answer is fit to act on. Those decisions still depend on people who can think critically, communicate clearly, build trust and respond with empathy.

The skills leaders rank last are not leftovers from an earlier era of management. They are part of the operating system the technology runs on. The future will belong not simply to leaders who use AI, but to those who can combine its speed with human clarity, judgment and care.

Sources

• DDI Global Leadership Forecast 2027: The Future Leadership Skills Leaders Need Most
• DDI Global Leadership Forecast 2027: AI Readiness. Why Adoption Isn’t the Same as Capability
• Gartner: Only 8% of HR Leaders Believe Their Managers Have the Skills to Effectively Use AI
• Harvard Business Impact: 2026 Global Leadership Study, Research Findings