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One of the risks I keep coming back to is decision distance. The further away decision-makers are from the people affected by their systems, the easier it becomes to abstract harm. A system may look efficient from a boardroom. It may look profitable on a dashboard. It may look scalable in an investor deck. But what does it feel like to the person downstream of that decision?
When a technology becomes too big, too complex, or too fast for society to fully process… we simplify it. And the easiest way to simplify something complex… is to give it a face. We’ve done this before as a society …. With nuclear science. With the early internet. With social media…. the list is long One person becomes the shorthand for an entire system. Not because they control everything — but because our brains prefer stories over systems...and let’s be honest - It’s easier to understand a person… than it is to understand a global infrastructure. But … here’s the catch. When we reduce systems to individual people… we start misplacing responsibility.
Let's explore what I call the "AI Perfection Paradox" - and why the real question isn’t whether AI is perfect. It’s what environments we build around it. Shape the environment. Shape the outcome.
AI doesn’t destroy. But that doesn’t mean technology is neutral. And the legal reasoning in this case is starting to draw a line that I think we should understand - Because the jury didn’t say the platforms created bad content. They didn’t say the companies made decisions for people. What they said was something different.
AI Doesn’t Decide. Humans Do. Part One
This season is about moving fast — without losing our judgment. For Seasons 5, we’ll explore what stewardship looks like when AI moves from the lab into government decisions that affect millions of people.
Today’s episode is a special one for me. Tea & Tech is four years old. Four years of conversations about technology, business, AI — and the human side of all of it. And honestly… the number of things that have changed in those four years is mind-boggling. When I started this podcast, there was no ChatGPT. And even saying that now feels a little unbelievable.
I want to talk about what I’m calling the invisible pivot. For the past couple of years, AI has lived at the tip of the spear when it comes to fear. Fear of replacement. Fear of loss of control. Fear of identity erosion. Fear of speed without guardrails. And to be clear — those concerns weren’t imaginary. They were real. Necessary, even. Fear can be a useful signal when something new is moving faster than our ability to metabolize it. But fear is not meant to be a permanent operating system. What I’ve noticed recently is that AI is no longer the loudest fear in the room. The world has gotten heavier. More complex. More fragile in very human ways. And when that happens, fear reorganizes itself. What rises to the top isn’t abstraction — it’s immediacy. Safety. Stability. Meaning. And in that environment, something interesting happens. AI doesn’t disappear. But it moves.
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