The End of Productivity

Rory Sutherland, vice chairman of the Ogilvy advertising agency, famously told a story about an office building where people complained that an elevator took too long to arrive. Instead of spending $1 million to make the elevators 5 percent faster, they solved the problem by spending around $100 to add mirrors so people could look at themselves whi... See more

Imagine trying to shoehorn the elevator mirror solution into a Linear project. The software would prompt you to move through a neatly organized set of issues: “Research elevator speeds,” “Calculate upgrade costs,” “Implement faster motors.” There’s no task for “Stare at the wall and ponder human psychology,” but sometimes that’s exactly what we hav... See more

There are two modes of information discovery: foraging and hunting. Foraging is passive. You don’t have a clear goal; you just wander and scroll until something catches your interest. Hunting is active and purposeful. You know what you’re looking for and are consciously searching for it. A good information diet needs both: Foraging helps us decide ... See more

Today’s knowledge workers carry a growing sense of anxiety. We have more tools than ever, but these options rarely match how we actually create. Rather than build more technology that keeps us on a miserable hamster wheel of churning out more shallow content, we have a unique opportunity to design tools that encourage us to slow down and create wit... See more

I believe there are two plausible scenarios for the future of knowledge work. There’s one in which as machines become more human-like in their capabilities, we paradoxically become more machine-like in our pursuit of productivity, focused on efficiency and keeping busy above all else. But there’s another where we lean into ways of working that are ... See more

Our interfaces should facilitate prose-sculpting, meaning-architecting, memory-augmenting, and inspiration-harvesting—all grounded in sources we love and trust. Just as calculators shifted math from rote computation to conceptual exploration, AI can nudge creative work toward the things humans are uniquely good at: thinking and feeling deeply.

This made sense in a pre-AI world, where tagging was the only way to ensure retrieval. But now that AI has given us the gift of semantic search—which surfaces information based on meaning and vibes rather than keywords—we no longer need

"Haz más, más rápido". Sin embargo, a medida que la IA mercantiliza la velocidad y la producción, esta búsqueda perderá su valor.