The Fear That Never Really Changed

What a visit to a central bank in South Asia taught me about AI anxiety — decades before AI arrived

Some stories sit quietly in memory for years, waiting for the world to catch up with them. This is one of those stories.

Long before the words "artificial intelligence" became the defining anxiety of the modern workplace, I witnessed something that I would only fully understand much later, a scene so human in its contradictions that it now reads like a dress rehearsal for what is happening across organisations globally today.

A Visit to the Central Bank

I was working at the time as a Corporate Trainer in South Asia. One day, I decided to take my then-teenage son on what I thought would be an unremarkable outing; a visit to the central bank. We had grown accustomed to the private sector standard: polished customer service, purposeful staff, smooth processes. We expected something similar here.

What we found instead was disorder. Frustration. A kind of low-grade but unmistakable anger simmering beneath the surface of every interaction. My son, who had never quite understood what I meant when I spoke about organisational culture, suddenly saw it in vivid colour. He was genuinely shocked.

"I watched employees toggling between screens and paper records — not out of choice, but because they did not trust the technology in front of them."

As a trainer, I did what comes naturally to me: I observed. Then curiosity took over and I decided to do some mystery shopping myself, collect data, and explore whether there was a possibility of helping improve their customer services. I sent my son in to make some routine enquiries while I quietly observed and did the same myself. Later, we compared notes. What slowly emerged was something much deeper than poor customer service. This was also a fear problem.

The Double-Handling Trap

The bank had introduced computer systems to modernise their operations. On paper, this should have streamlined everything. In practice, staff were doing every task twice, once on the system, and once on paper. Not because policy required it, but because they simply did not trust the machine to be as accurate, as reliable, as knowable as their own hands and eyes. Hence, the workload had quietly doubled. The Morale had soured, and no one had paused to ask why, or to address the fears that were driving this invisible rebellion against change.

When I eventually designed and delivered a training programme with the bank’s HR team, the truth came out. Employees feared that the technology would eventually make them redundant. They worried that if they couldn’t master it quickly, they’d lose their status. Even without younger employees in their department, the fear lingered that someday, younger, tech-savvy people would come in and take over. Beneath all that, there was a deeper worry: that everything they had built over years, their knowledge, and their judgment would no longer matter.

These were not unreasonable fears. They were deeply human ones; and they were going entirely unaddressed.

What the Training Revealed and Changed

The programme I designed was not a technical training. It was, at its heart, a conversation about trust: trust between people and technology, trust between employees and their managers, and trust between individuals and their own sense of professional worth. We repositioned technology not as a replacement but as a partner. We gave employees space to voice their anxieties without embarrassment and we helped managers see that their role was not to enforce compliance with a new system, but to build the psychological safety that makes adoption possible.

The results were not overnight, but they were real. The double-handling diminished. The anger eased. People began to see that the technology was not there to erase them; it was there to free them from the most tedious parts of their work, so that they could bring more of themselves to the parts that actually required human judgement, empathy, and care.

That experience crystallised something I have held ever since: training is not a nice-to-have at the edge of a technology rollout. It is the work itself. Without it, the most sophisticated tool in the world will be resisted, misused, or simply worked around. With it, people discover that they are more capable than they feared, and that the technology, far from replacing them, can amplify what makes them irreplaceable.

History, Repeating Itself

I had largely filed that experience away — a vivid memory from a different chapter of my life — until the last two or three years, when I started noticing something familiar in the conversations happening around me.

Now, living and working in the UK, I hear the same things. Different technology. Same fear. Leaders unsure whether to champion AI or downplay it. Employees quietly dreading the performance review that might compare them to a machine. Organisations implementing AI tools without a single conversation about what those tools mean for the people who work alongside them.

"The technology has changed beyond recognition. The human response to it has barely changed at all."

The fear is not irrational. It deserves to be taken seriously, but left unaddressed — as I witnessed firsthand in that central bank — it quietly poisons everything: productivity, trust, service quality, and the dignity of working life itself.

The Human–AI Partnership

What I have come to understand, across decades of working with people at the intersection of change and capability, is this: AI is not the story. People learning to work with AI is the story.

The most powerful outcomes I see emerging from AI-enabled organisations are not the ones where AI has replaced human effort. They are the ones where people have learned to use AI efficiently; to delegate the routine, to sharpen the analytical, and to reclaim the time and mental space that genuine creativity and human connection require. That is a partnership, and like any partnership, it requires investment, practice, and ongoing attention.

This means training that goes beyond tool familiarity. It means helping people understand not just what AI can do, but how to direct it well; how to ask better questions, evaluate outputs critically, maintain their own judgement, and know when the human in the room is still the most important intelligence available. It means building cultures where experimentation is safe, where questions are welcomed, and where no one is made to feel that their years of experience have suddenly been devalued by an algorithm.

I know this because I have spent the better part of a year thinking carefully about exactly what that training should look like, how it should be structured, who it should serve, and how to make it genuinely transformative rather than merely informative. That thinking is nearly ready to meet the world.

What Organisations Must Do Differently This Time

We know enough now to do better. The lesson from that bank, and from every change management failure I have observed in the decades since, is that technology adoption is never primarily a technical challenge. It is a human one.

Organisations that embrace AI well will be those that invest as much in the emotional and psychological readiness of their people as they do in the platforms themselves. Leaders need to model curiosity, not just confidence. They need to acknowledge uncertainty, not perform certainty they do not have. And employees need to be brought into the conversation: not handed a system and expected to adapt in silence.

The employees in that central bank were not resistant to progress. They were resistant to feeling disposable, and that, more than anything else, is the challenge that every leader navigating AI adoption must hold clearly in mind.

Technology does not make people redundant. Unimaginative leadership does.

I write about AI, learning, and what it means to lead with humanity at the centre. If this piece resonated, watch this space — there is more coming.