AI Will Not Replace Leaders | Opinion

"But Leaders Who Ignore AI Will Be Replaced"

Over the last half a decade, I have noticed something interesting in leadership conversations. Almost every boardroom is talking about AI today. Every leadership team member wants to understand its impact. Every organization is exploring pilots, copilots, automation and productivity gains. But beneath all the excitement, there is also hesitation and procrastination. Not because leaders are unwilling to change but because many are still trying to understand what AI really means for leadership itself and for themselves. For time immemorial, leadership is built around authority, experience, predictability and control. The more senior you become the more you are expected to have all the answers. AI is quietly changing that model! Yes.

Today, information is available instantly and insights are increasingly machine-assisted. Employees are experimenting with AI tools faster than organizations can create policies for them. Decisions are moving faster than traditional hierarchies are designed to handle. And in this environment, leadership can no longer rely only on past experience. That does not mean AI will replace leaders. Far from it!

In fact, I believe the organisations that succeed in the AI era will need stronger leadership than ever before. But it will be a different kind of leadership. The leaders who thrive will not necessarily be the most technically-sound people in the room. They will be the ones who stay curious, adaptable and believe in the concept of continuous self learning. Because the real AI transformation is not technological. It is deeply human. Every AI discussion eventually becomes a conversation about people.

• How will the future jobs evolve?
• Which skills will become more valuable?
• How do we reskill/upskill teams at scale?
• How do we manage apprehensions, fear and uncertainty?
• How do we maintain trust while transforming work?

These are not the questions that technology can answer. They are leadership questions. One of the biggest mistakes organisations can make right now is treating AI as an IT/Tech initiative. It is not.

I is reshaping how work gets done, how decisions are made and how organisations operate. That requires business leaders, HR leaders and managers to rethink old assumptions about productivity, human capability, individual and team performances, even career growth. Honestly, many organisations today are still not ready for that conversation. I also think there is a quieter challenge emerging in front of us. Some leaders are publicly supporting AI to look cool and new age amongst their peers and teams, while privately hoping it changes very little, or nothing at all, for now.

For instance, we were having an annual operating plan (AOP) discussion for the financial year. We brought all the opportunities and threats for the upcoming year to the table, along with discussions on how we would keep the productivity curve upwards and the related operating cost curve downwards. It was quite an intense discussion backed by data points from the industry, the country and global trends/practices. The funniest part came once we broke for lunch. The discussion suddenly turned upside down. The most vocal leader from the meeting we had just stepped out was now mentioning how all this AI and related stuff is a hype, and that for the next 5-10 years, nothing is really going to change.

This approach will not work. Employees can quickly sense this when organisations talk about transformation without actually changing behaviors, structures or leadership mindsets. In one of the business consulting assignments I was involved in, the problem statement brought in front of me was that the organisation had budgeted for new tools to restrict the use of unauthorised AI outside the office environment at work. By the time the organisation could source, buy and implement, the users at the base of the pyramid found AI commands with command engineering to evade the restrictions associated with the tool. The entire project and the money spent on it became futile. The organisation had to reinvent the whole process again. Eventually, they realised that encouraging adoption and rewarding responsible usage first was more effective than merely sourcing the best tool available at the marketplace.

Transformation does not happen because a company buys new technology. It happens when leaders themselves evolve. That evolution starts with believing and learning. Leaders today do not need to become AI engineers. But they do need to become AI-aware. They need to understand: what AI can realistically do, where human judgment still matters deeply, how teams will need to adapt and how to lead people through constant change.

Most importantly, leaders need the humility to admit they do not have all the answers anymore. That may sound uncomfortable, but it actually is a strength. I have known many leaders who follow a simple thumb rule while building their teams. They try to hire team members who can compensate for the skill gaps within the team and who are also better than the leader himself or herself in the skills required to run the team or organisation today and tomorrow. Leaders who fail to do so often fail in the long run. Because in today’s environment, learning agility matters more than certainty. It is pertinent to observe here that even as AI becomes more powerful, human capabilities are becoming even more important.

Empathy, communication, judgment, ethics, trust and resilience, etc. These are not "soft skills" anymore. They are leadership differentiators for today and tomorrow. Machines can process data faster than humans, true. But they cannot inspire people, cannot build trust during uncertainty, cannot create culture and cannot replace human courage in difficult moments.

I have witnessed several instances in the past across various organisations where tools, or AI built into those tools, can provide analysis along with red and amber flags for critical business processes. However, a leader still needs to understand that analysis and take calls based on the business criticality, business risks and also with a human touch on what to do, what not to do and what all can be achieved by extending timelines. That is why I do not believe AI will replace leadership ever. But I indeed believe leaders who refuse to adapt, learn, and rethink themselves may gradually become irrelevant.The future will not belong to leaders who possibly know everything. It will belong to leaders who are willing to keep learning.

"The task today is not moving from human leadership to AI leadership, but moving from static leadership to adaptive leadership."

(Note: The author, Manoj Mishra, is a senior HR leader who is currently working as Chief People and Culture Officer at Jagran New Media. Views expressed are personal. He can be reached at manoj.mishra@jagrannewmedia.com.)