DC Decoded
The AI Conversation We Are Missing
Every AI conversation is about jobs, who loses them, who gains them. The bigger question is what happened last time technology made companies more productive, and whether the gains ever reached everyone else.
The conversation around AI is almost entirely about jobs. Who loses them. Who gains them. What gets automated. What gets created.
That is an important conversation. But I think we are missing a bigger one.
I came across this stat: for Americans born in the 1940s, around 90% did better than their parents. For Americans born in the 1980s, that number dropped to around 50%. That shift happened before AI even arrived.
We have seen this pattern before. Since the 1970s, productivity in America grew over 70%. The wages of the broad working majority, 80% of the American workforce, grew less than 10% in the same period.
The gains were real. The companies became more valuable. The technology changed the world. But the prosperity did not reach everyone equally. And quietly, a generation felt it.
Now AI is arriving at an even bigger scale, and at a speed the industrial revolution took generations to cover. AI is moving in years. The technology is incredible. But technology does not automatically create shared prosperity. History has never once shown us that it does.
So the question is not whether AI will make companies more productive. It will, eventually. The question is what happens to the people displaced by it. Is there a real pathway to upskill. Where do the productivity gains actually go.
History suggests we already know the answer. That is what nobody in the room seems to want to say out loud.