I’m currently enrolled in a generative AI certification program, and as expected, the first week has been full of technology — models, systems and concepts that are moving fast and reshaping how work gets done.
What stayed with me most during that first week wasn’t a technical concept. It was a reminder about something much more human, and something we don’t talk about nearly enough when it comes to AI.
The idea was simple, but it landed hard: One of the greatest biases shaping how we talk about AI may be our own tendency to underestimate human value.
That hit home.
Because everywhere I go lately, I hear the same concern: AI is going to take jobs. It’s a real fear, and it’s understandable. The pace of change can feel overwhelming, especially when headlines suggest that machines are suddenly doing everything better and faster than people.
We often describe AI as if it operates independently — as if it decides, creates and moves forward on its own. Headlines tell us ‘AI is designing, AI is coding, AI is creating’. Over time, that language starts to reshape how people see their own role in the workplace. Before we know it, we’ve handed authority to tools that were never meant to lead.
Here’s what became very clear: Every AI system is shaped by human choices — what problems to focus on, what data to include, what limits to set. Every output still requires a person to interpret it, apply it and stand behind it. AI doesn’t replace decision making. It depends on it.
That realization reframed the job conversation for me. When we talk about AI as if it’s superior to people, we place it on a pedestal. And when we describe humans as fragile or replaceable, we give technology authority it was never meant to have.
That’s not a technology problem. That’s a confidence problem.
Tools have always changed how work gets done. This moment is no different. What evolves is the nature of the skills that matter most — critical thinking, creativity, relationship building, context and trust.
Those qualities aren’t diminished by technology. In many cases, they become more valuable.
This aligns closely with what we’ve been seeing in Insight’s coverage of AI across Northeast Wisconsin. The most effective examples are led by people who know their work deeply and are using AI as a support tool, not a substitute for experience, creativity, or judgment.
That’s an important distinction.
When we build tools modeled after ourselves, we don’t just transfer efficiency and intelligence. We also transfer assumptions, biases, and insecurities. That’s why human oversight is essential.
If we approach AI from fear — from the belief that people are expendable — we reinforce the very narrative we’re worried about. But when we approach it with confidence in human value, AI becomes what it was always meant to be: a tool that supports people, not replaces them.
Technology will continue to evolve, but our value as people — our judgment, creativity, connection and sense of purpose — remains constant. That’s the perspective I carried out of the first week of this certification, and it’s one I believe can help ground a conversation that often feels overwhelming.
I would love to hear how these questions are coming up in your workplace and how you’re helping people navigate change with clarity and confidence. Your voice belongs in this conversation, and I look forward to continuing it together.
Post Note:
Thank you to Bay Area Workforce Development for partnering with Microsoft and making this program available to our community.
gener8tor Skills: Generative AI for for Leaders | Bay Area Workforce Development Board
