In the first of a series of regular columns on leadership and talent management, to publish every other Monday, Kelly Francis, the founder and managing director of Performance Solutions, considers the leadership skills needed to navigate modern workplaces.

Over the past year, I have found myself thinking a great deal about leadership. Partly because so many organisations are focused on developing new managers. Partly because experienced leaders are being asked to navigate increasingly complex workplaces. And partly because of the growing conversation around artificial intelligence, and what it means for how we lead.

I recently read a Fast Company piece on the five quotients of future leadership: intelligence, emotional intelligence, trust, wisdom, and vision and also reviewed Eve Simon’s book Rewired: Leadership in the Age of AI. Both are worth your time. But what struck me most was not how new these ideas felt. It was how old they are. Trust, judgment, and communication have always separated effective leaders from ineffective ones. AI has not changed that list.

What AI has changed is the cost of not having it. For years, weak leadership could survive on borrowed time. Information moved slowly enough that poor judgment calls had room to be corrected before they compounded.

Technical expertise could substitute for trust, a manager didn’t need people to believe in them if the work spoke for itself. Communication gaps were forgivable because nobody was expecting instant clarity in the first place.

AI has removed most of that cover. Decisions move faster than the information needed to make them well. Increasingly, technical work is produced or assisted by tools not owned by any one person, which means trust in the leader matters more than trust in their output.

When people can generate a polished answer to almost anything in seconds, the absence of a clear answer from their own manager stands out more, not less. This is not a story about new skills. It is a story about old skills losing their margin for error.

Judgment

Leaders have always had make decisions with incomplete information. What has changed is the volume and speed of inputs competing for that judgment — including AI-generated analysis that sounds authoritative whether or not it is right. Strong leaders are not the ones who defer to the tool or the ones who ignore it. They are the ones who still ask the same questions they always did.

What is this based on? What does it leave out, and what happens if it is wrong? Good judgment was never about having more information. It was about knowing what to do with it. That skill is now doing more work than it used to, because there is more noise to cut through.

Trust

Trust has always been earned through consistency, transparency and follow-through, not by title alone. What is different now is what trust has to carry. When AI tools shape how work gets done, be it drafting communications, summarising performance or shaping decisions, people need to trust that a human is still accountable for the outcome and not just operating the tool.

Leaders who have not built that trust will find that AI adoption stalls, gets resisted, or gets used in ways that quietly undermine the work. Just last week I sat in three different meetings where employees said some version of “clearly he/she just used AI” along with an accompanying eye roll.

Trust used to be the thing that made people want to follow a leader. Increasingly, it has become the thing that determines whether new ways of working get adopted at all.

Communication

Clarity and honesty have always mattered more than having every answer. We are now seeing that the baseline people are measuring it against is changing. When employees can get an instant, confident-sounding response from a tool, a manager who is vague, slow, or inconsistent, it looks worse by comparison than it did five years ago. Strong communication used to be a differentiator. Now it has become the expected minimum because the alternative is readily available on their own screens.

Developing the leaders we need

None of this means leadership development needs a new curriculum built around AI. It means the fundamentals of judgment, trust and communication need to be taken more seriously, not replaced.

Both the Fast Company piece and Rewired make the same point in different ways: these are learnable, practisable capabilities, not fixed traits. That is reassuring but it also means there is no excuse for treating them as optional soft skills that development budgets can defer in favour of technical or AI-specific training. The two must be integrated and built into how people are coached, assessed, and held accountable.

Technology will keep changing how the work gets done. It is not changing what makes someone worth following. If anything, it is making that harder to fake.

• Kelly Francis is founder and managing director of Performance Solutions Ltd (www.psolutions.bm). She advises boards, business owners and leadership teams on the people decisions that shape organisational performance. Kelly can be reached at 441-232-5270 or kelly_francis@psolutions.bm