AI, Anxiety, and the Need for Zen-Like Balance in Banking
From the Zen of Banking series by Joe Sullivan, Market Insights, Inc.
A recent Harvard Business Review article captured a paradox that many of us have been sensing but hadn’t quite named: companies are laying off workers because of AI’s potential—not its performance.
That single insight really caught my attention.
Not because AI has already replaced large numbers of jobs. Not because organizations have carefully measured dramatic productivity gains. But because leaders are making real decisions today based on what AI might do someday.
I’m not criticizing leaders for preparing for the future. Anticipation is part of responsible leadership. But the narrative around AI has clearly raced ahead of reality—and stories like this have acted like an accelerant to growing anxiety over AI’s “job-displacing” power.
Reading the HBR piece, I found myself wondering how the ideas I’ve been exploring in what I call the Zen of Banking might apply in this moment.
AI is impressive—sometimes even astonishing. But in most community-based banks and credit unions today, it is still an assistant: uneven, inconsistent, and deeply dependent on human judgment and oversight. It is far from an autonomous workforce. And yet the emotional temperature around AI already feels as if that future has arrived.
What makes this conversation especially interesting is that the HBR argument is only half of the story.
Last week, Brett King wrote a provocative essay that almost makes the opposite point: that AI may upend the assumptions that have anchored capitalism for centuries—and that “waiting for proof” of disruption could be dangerously late. Brett challenges bankers, policymakers, and business leaders to rethink how wealth and work will be organized in a world where human labor may no longer be the primary economic engine.
His message, in essence, is simple and unsettling: don’t assume the past will be a reliable guide to the future.
So, we’re left with two very different warnings.
HBR cautions that organizations are acting prematurely, making irreversible decisions based on speculative fears. Brett warns that organizations may be acting too slowly, clinging to outdated assumptions while a structural transformation gathers speed.
Both perspectives are credible. Both are unsettling. And both create a real dilemma for banking leaders.
This is exactly where a Zen mindset becomes useful.
When I talk about Zen of Banking, I’m not talking about anything mystical. I’m talking about a practical discipline of leadership—the habit of seeing clearly before acting, of distinguishing signal from noise, of choosing intention over reaction. But at its heart, a core principle of Zen is about balance.
The risk today is not simply that banks and credit unions will underestimate AI. The risk is that we will swing between two equally dangerous extremes.
On one side is complacency: assuming AI is just another incremental tool that will quietly fit into existing operations.
On the other side is panic: restructuring organizations, cutting jobs, and reshaping strategies based on hype rather than evidence.
Neither posture leads to good decisions.
Zen, at least as I think about it, is about navigating the space between those extremes. It’s about holding two ideas at once: AI could eventually be profoundly disruptive—and AI’s practical capabilities inside most institutions today are still limited. The leadership challenge is to live in that tension without being pulled into reaction.
In banking we like to believe we are rational actors—guided by data, risk models, and careful analysis. But AI is testing that self-image. It creates a uniquely uncomfortable mix of promise and threat. It invites sweeping visions of efficiency while also triggering deep fears about relevance, careers, and identity. Under that kind of psychological pressure, leaders often reach for simple, visible answers: freeze hiring, trim staff, reorganize teams, or declare that “AI will change everything.”
Those moves can feel decisive. But decisiveness is not the same as clarity.
The Zen question is more subtle: what do we actually know, and what are we only imagining?
What we know right now is this: AI is already improving productivity in specific, measurable ways. It is helping people work faster and smarter. It is reducing friction in routine tasks. It is augmenting, not replacing, most roles in community banking. We also know something else: the gap between AI demos and real-world implementation remains wide. Data quality, integration, compliance, risk management, and customer trust still depend heavily on human expertise.
That doesn’t mean Brett King is wrong about the long-term trajectory. It means that timing matters. And timing is where leadership judgment lives.
There’s also a human dimension to this that the headlines often miss. When employees see colleagues let go because leadership is betting on technology that hasn’t yet proven itself, the message they perceive is simple: you are expendable. That erodes loyalty, engagement, and institutional knowledge at precisely the moment banks and credit unions need them most. Ours is a relationship business. Confidence and stability are part of our brand promise. Decisions driven by speculative fear can quietly damage that foundation, and once trust is lost it is incredibly hard to rebuild.
So how should institutions respond?
A Zen-informed approach doesn’t ignore Brett’s warnings about profound change. It takes them seriously. But it refuses to let fear dictate strategy. Instead of asking, “How fast can we cut costs because AI is coming?” it asks different questions. Where is AI genuinely creating value today? How can we redesign work, so humans and AI complement each other? What new skills will our people need? How do we experiment aggressively without destabilizing our culture?
Those questions lead to transformation that is thoughtful rather than frantic. They also recognize a truth that often gets lost in this debate: banking is not just a production system. It is a trust system. Decisions made in haste can damage that trust far more quickly than AI can rebuild it.
Perhaps the most important Zen lesson for this moment is learning to hold tension. To prepare seriously for a future that may be radically different—while also respecting the present reality of how work actually gets done. To invest in AI without devaluing people. To experiment boldly without pretending we already have all the answers. To move forward without losing our balance.
That is not an easy stance. But it is a mature one.
The debate about AI in banking is often framed as a choice between optimism and caution. I think that misses the point. The real question is not whether AI will change jobs. It will. The question is whether we will respond to that change with clarity or with anxiety—with evidence or with expectation.
Brett King is right to warn us that the world ahead may be very different. HBR is right to caution us against making workforce decisions based on AI's theoretical potential rather than its demonstrated ability. The Zen of Banking lives in the space between those truths. It reminds us that leadership is not about reacting fastest. It’s about responding wisely.
For bank and credit union leaders, that may be the most important capability of all in the AI era. If we can manage that balance—between urgency and patience, innovation and stability, technology and humanity—we’ll have a much better chance of navigating whatever future AI ultimately brings.
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