If you spend even a few minutes reading the news these days, it feels like nearly every conversation eventually turns to AI.
How fast it is evolving.
How much it can automate.
How many jobs it may reshape.
How leaders need to adapt.
And honestly, I understand the excitement because I use it almost every day.
I have used tools like ChatGPT, Claude, and Gemini to help organize thoughts for presentations, summarize long reports, brainstorm ideas, tighten communication, draft job descriptions, improve project planning, and even help structure articles like this one. During major initiatives and strategic projects, AI has helped accelerate reporting, organize meeting notes, identify workflow gaps, and save valuable time.
I have even used it on a personal level to help plan family vacations based on our interests, my daughters’ ages, and a realistic budget. Used correctly, it can be incredibly powerful.
But there have also been moments when I generated a draft with AI and completely rewrote it because, while it technically sounded correct, it did not sound human. It lacked warmth. It lacked instinct. It lacked emotional awareness.
And the more I use AI, the more convinced I become of something else.
AI is valuable. But HI, Human Intelligence, is still what matters most.
While AI can make us faster and more efficient, only people can make organizations stronger.
AI is not the enemy
Let me be clear. I am not anti-AI.
I think leaders who completely dismiss it are making a mistake. AI is already changing how organizations operate, and that pace is only accelerating. In HR, operations, marketing, finance, and leadership, these tools can absolutely improve efficiency and help people reclaim time.
That is a good thing.
But I also think some organizations are becoming so focused on artificial intelligence that they are unintentionally neglecting human intelligence.
And that is the part that concerns me.
The things AI still cannot do
AI can help write communication.
But it cannot walk into a room and sense morale dropping after a difficult announcement.
AI can summarize meeting notes.
But it cannot tell when the quietest person in the room has mentally checked out.
AI can help create a performance review template.
But it cannot mentor an employee struggling with confidence or burnout.
Leadership lives in those spaces.
Especially in credit unions.
Our industry has always differentiated itself through relationships, trust, and member experience. Members remember how they were treated during difficult moments. Employees remember who supported them during stressful projects. Culture is built in conversations, not software.
Technology absolutely matters. But people still trust people most.
Where AI stops and leadership begins
One thing I have noticed during major projects and organizational change is that AI is excellent at helping leaders process information. It can summarize discussions, organize ideas, identify patterns, and save time.
But leadership starts where technology stops.
AI cannot sense the tension in a room after a difficult conversation.
It cannot recognize when a normally engaged employee suddenly goes quiet.
It cannot pull someone aside after a long week and ask, “How are you really doing?”
During periods of heavy organizational change, I have learned that the most important leadership moments rarely happen in project plans or status reports. They happen afterward. In the hallway conversations. In the quick check-ins before meetings. In the moments when employees need reassurance more than another update.
That is where trust is built.
And no software replaces that.
Last year, during our credit union’s core system conversion, technology sat at the center of everything. There were endless meetings, testing sessions, reporting deadlines, training schedules, and operational decisions. It was one of the largest and most demanding projects our organization had ever undertaken.
Ironically, very little AI was involved in the actual implementation itself.
What carried the organization through the stressful moments was not automation. It was communication. Patience. Adaptability. Teams supporting one another after long nights and difficult weeks. Leaders recognized when employees were exhausted and needed encouragement rather than more pressure or additional work.
The project reinforced something important for me. Even in highly technical environments, success still depends heavily on human intelligence. Technology may power the systems, but people determine whether change succeeds or fails.
That is where leadership still matters most.
The leadership risk nobody talks about
One thing I worry about is that some leaders may eventually confuse efficiency with effectiveness.
Faster communication does not automatically mean better communication.
More automation does not automatically create a better culture.
And quicker decisions do not always create stronger trust.
There is a real risk that organizations become more productive on paper while becoming less connected in practice.
Employees do not want robotic leadership. They want transparency. They want honesty. They want leaders who listen, communicate clearly, and understand the human side of change.
Especially during uncertainty.
According to Deloitte’s 2024 Global Human Capital Trends Report, organizations continue to rank human capabilities such as empathy, communication, leadership, and relationship-building among the most critical skills for the future workforce, even as AI adoption accelerates.
That should tell us something important.
The future of work is not AI versus people.
It is AI supported by leaders who still know how to connect with people.
What strong leaders will do next
The best leaders will not ignore AI.
They will learn it, use it, and adapt to it.
But they will also recognize that the organizations that stand out in the next decade will not simply be the ones using the most advanced technology.
They will be the ones who combine technology with trust, emotional intelligence, sound judgment, and authentic leadership.
Because AI can improve workflows.
But HI builds culture.
AI can increase speed.
But HI builds loyalty.
AI can generate information.
But HI builds trust.
Because at the end of the day, trust is still what moves people and organizations forward.
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