I don’t yet know what AI is doing to us. But I do know how organizations change and what I’m seeing now concerns me enough to study it closely.
For the past decade, I’ve worked on operating model transformations. It’s messy, human, and often chaotic work, helping organizations move from how they work today to how they need to work tomorrow. I’ve seen what happens when change lands well, and what it costs when it doesn’t. I know the patterns. I know what breaks first. I know how people actually experience disruption, and how that often differs from what leaders expect.
AI is reshaping how work gets done, how decisions are made, and how people understand their own value. Leaders are making consequential calls about investment, roles, and the very purpose of work—sometimes on assumptions we haven’t fully tested or outcomes we aren’t measuring clearly. Meanwhile, the people closest to the work are quietly adapting, worrying, and figuring things out on their own.
That gap is what I’m here to examine.
I’m a Doctor of Technology candidate at Purdue University, researching how organizations can adopt AI without breaking the social contract with their workforce. Specifically, I’m exploring whether thoughtful investment — the kind that includes people in the process, builds real understanding, and signals they won’t be left behind — shapes whether employees experience AI as a threat or a genuine partner. Alongside that, I’ve begun consulting with organizations navigating these exact shifts. I work at the intersection of practitioner and researcher: close enough to see what’s really happening on the ground, but far enough back to ask why.
MyChangeLog is where I work that out in public.
The name is intentional. In technology, a changelog is a living record of what’s been updated, what’s been fixed, and what’s still in progress. That’s how I see navigating AI transformation. It’s not a simple before-and-after or a project with an end date. It’s a continuous, documented process of tracking what’s changing, what it costs, and what we still don’t know.
Here you’ll find Field Notes: short, research-informed pieces on the questions I’m genuinely wrestling with.
- Is AI acting as a learning partner or just a crutch?
- Is techno-stress really easing as people adapt, or are we just getting used to it?
- When a leader says AI made their team “ten times more productive,” productive at what, for whom, and what did it replace or displace?
- Are organizational values finally becoming first principles?
I won’t always have answers. What I can offer is a careful, honest look at the patterns, from the perspective of someone who has spent years helping organizations change and believes that getting this change right really matters.
If you’re leading teams through AI adoption, living the shift yourself, or trying to separate signal from noise, this space is for you.
Let’s figure it out together. 💚
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