For leaders navigating AI transformation, the conversation often circles back to the same central question: Will AI replace jobs?
It's an important concern. AI is moving fast, its capabilities are expanding, and roles and ways of working are already shifting. But focusing primarily on whether AI will replace people misses perhaps the biggest and most immediate competitive threat. People are not competing just against AI. They’re competing against people who are embracing AI to become more productive, adaptable, innovative, and valuable.
This article explores one of the most critical imperatives: the need to reskill teams and rethink how talent is hired, developed, and retained in an increasingly AI-powered world.
The rapidly widening productivity gap
In almost all businesses, AI is already changing the pace at which work gets done. Tasks that once absorbed days can now be completed in hours. Things like data analysis and synthesis, can get done faster, allowing teams to spend more time applying their own judgement, expertise, and experience where it matters most.
People who are exceptional at working with these new tools are simply able to get more done than those who don't. It doesn't take long for this productivity gap to compound either. Learning accelerates as teams move faster, and decisions are made faster. Organisations able to embrace the shift are starting to rapidly outpace those that hesitate.
As Samuel Mantle, CEO of Lingaro, puts it: "I genuinely don't think that AI is going to replace people, but I think that people who use AI will very quickly replace the people who don't use AI."
In other words, human expertise amplified by AI becomes dramatically more effective, rather than being replaced. So what does this mean for leaders?
Hiring for experience is no longer enough
For very good reasons, many organisations have historically hired on the basis of deep expertise and experience. Of course, professional rigour, regulatory understanding, and domain knowledge still matter enormously, but AI has changed the equation.
In a world where core technologies are evolving constantly, experience with yesterday's tools serves as an unreliable predictor of success tomorrow. If experience serves as the primary filter, leaders will struggle to hire fast enough to keep pace with change.
As one Chief Data & Digital Officer we spoke to frames it: "Hiring someone solely based on their experience with recent inventions and technologies is insufficient, and may prove impossible for the most recent innovation. We need to bring in more curious minds. People with a mindset that says, 'I don't know it yet, but I will figure it out,' and who remain open to learning something new every day."
As expertise requires continuous renewal, curiosity, adaptability, and a willingness to learn are becoming non-negotiable skills.
Reskilling as a leadership stance
Many organisations respond to AI disruption by launching training initiatives and deploying new tools and new courses.
This approach works to a degree, but it can’t function as a one-off intervention. Reskilling also serves as a signal from leadership. What matters most is whether leaders create an environment where continuous learning and experimentation is encouraged and clear guardrails are in place.
One senior leader in Data, Analytics & Research puts it this way: “We encourage 'everyday AI' through playful exploration by everybody. Once people appreciate what's possible, a little training and a safe environment enables them to 'go and play' in their daily work. Failure provides the only way we are actually going to see what works and what doesn't."
When leaders engage with AI themselves, share openly about what they're learning, and admit what they don't yet understand, learning becomes safe and curiosity becomes contagious.
At the same time, as organisations are reskilling existing teams, competition for AI-literate talent is intensifying. The challenge involves attracting these people, but also creating environments where they want to stay.
Highly curious, adaptive people tend to avoid rigid cultures, slow decision-making, and environments where experimentation feels stifled. If leaders fail to create space for learning and growth, these people simply take their skills elsewhere.
A stark leadership choice
Leaders today need to make a decision. They can embrace AI as a force for transformation by investing in reskilling their teams, recruiting for curiosity, and creating cultures where AI amplifies human expertise. Alternatively, they can rely on past experience, treat AI as a side project, and allow fear, hesitation, or over-control to slow adoption.
AI won't necessarily replace people. But leaders and organisations who fail to adapt may find themselves replaced by those who do. If you’d like to learn more about the cultural transformation required to work effectively with AI, get in touch.