These are my thoughts on product, tech and design.

The most profound insights about technology often come from direct experience rather than theoretical analysis. Last October when I gave my first-ever conference talk on agentic AI I emphasized process over code, specialized roles over general capability, and sequential collaboration over full autonomy. I was right about these architectural principles, but for entirely wrong reasons. The real limitations turned out to be more fundamental: accountability, security and an imperceptible line between capabilities and constraints.

The DOJ is about to drop the biggest antitrust bomb since Microsoft's Internet Explorer case.

In the late '90s, bundling IE with Windows licenses played a big role in getting Microsoft labeled a monopoly and for good reason. IE's complete stranglehold peaked at ~95% market share (150M users). Today Chrome's "mere" 65% translates to 3+ billion users and gives Google far more control over the web than IE's team could dream of.

The DOJ's ideal solution? Make Google do what Microsoft probably should have done: spin off or sell off their browser.

But my question is: who on Earth could even buy it?

I’ve spent a lot of time this year pondering AI’s impact on labor, especially in professional fields like mine.

While it’s a bit unsettling, history is clear: automation leads to obsolescence.