Something unexpected is happening in the world of work. As artificial intelligence takes over more tasks like writing reports, analysing data, answering customers, the skill employers now want most is not technical at all. It is the ability to lead people.
The World Economic Forum’s Future of Jobs Report 2025 made this plain. Among more than 1,000 of the world’s largest employers surveyed, leadership and social influence recorded the sharpest rise of any skill, up 22 percentage points in just two years. It rose faster than AI and big data itself. In an age of machines, the human skills are climbing the fastest.
This is not a coincidence. It is a correction.
Why AI is making human leadership more valuable, not less
The old assumption, as technology advances, technical skills win, is breaking down. When every organisation has access to the same AI tools, the tools stop being the advantage. What remains different from one company to the next is the people, how they are led, how they adapt, and how well they work with the technology.
The numbers show how much adaptation is coming. Employers expect 39 percent of core job skills to change by 2030. In the same period, 170 million new roles will be created, 92 million displaced, and 22 percent of today’s jobs structurally reshaped. Meanwhile, 41 percent of organisations expect to cut staff in roles made obsolete by AI, even as 70 percent plan to hire people with new AI-related skills.
In short, the next five years will be defined by transition, and transition is not a technical problem. It is a human one. Machines cannot manage anxiety, rebuild trust after a restructuring, or convince a 15-year veteran that retraining is an opportunity, not an insult. Leaders do.
What human-centered leadership actually means
The phrase can sound soft, so let us be precise. It is not about being nice. It is about recognising that in an AI-first organisation, the leader’s job shifts from directing work to developing people.
Three things define it in practice.
To start with, it sees learning as a duty of leadership rather than a program run by Human Resources. According to the World Economic Forum’s estimate, in a world of 100 people, by 2030 59 would need some kind of training. No budget for training can survive that when no one who occupies leadership positions takes care of it. The good news is that 85% of employers are determined to make training their priority if only their leaders don’t back down because of pressures that come each quarter.
Another point is that it places the issue of wellbeing at the heart of competition. What was once considered a bonus is now something 64% of employers recognize as a primary strategy in order to attract talent. In a time when skilled workers may move to competitors, the new way for leaders to stand out in their hiring process is through their treatment of people on their team.
Third, it reworks jobs involving human-AI collaboration instead of replacement. Companies that truly benefit from AI are not necessary those that replace employees faster with their systems. Rather they are the ones that use AI for data-intensive and easily repeatable tasks while allowing people to concentrate on decision-making processes with regard to human interaction and solving unconventional problems. It requires leaders to know how to use machines wisely and note the potential of their people as well.
The catch: we are not building these leaders fast enough
Here lies the uncomfortable gap. Employers say human-centric skills like leadership, adaptability, communication, curiosity are among the hardest to find, and supply is not keeping pace with demand. We have spent a decade telling young professionals to learn to code. We have spent far less time teaching them to lead.
Business education must answer for part of this. Too many management programmes still treat leadership as a single elective squeezed between finance and operations, when the evidence says it is the skill rising in priority faster than any other. The programmes that will matter in this decade will treat people skills and technology skills as one curriculum, not two, teaching a manager to read a dashboard in the morning and read a room in the afternoon.
Access matters too. The demand for such managers is as urgent in Lagos and Manila as in London and New York; management education must reach working professionals where they are, at a cost they can bear. The delivery models already exist.
The leadership dividend
AI will keep getting better at tasks. What it cannot do is provide direction, build trust, and guide people through the biggest workplace transition in a generation.
The organisations that win the AI era will not be the ones with the best algorithms. They will be the ones with leaders who know that technology creates value only when people are willing and able to use it. In an AI-first world, the most future-proof investment is still a deeply human one.
By Sanjay Laul, Founder, MSM Grad
