AI AND ATTENTION

The algorithms that decide what we see have gotten remarkably good at predicting what we'll engage with. TikTok, YouTube Shorts, Instagram Reels—each platform has converged on the same formula: short, emotionally triggering content served at machine speed.

The result is a population that struggles to focus for more than a few minutes. This isn't speculation. Average attention spans on digital content have dropped measurably year over year since 2015.

Here's what's interesting: AI could be the antidote to the problem AI created. Language models that can summarize, contextualize, and prioritize information could rebuild the filters that social media destroyed.

Imagine an AI layer that sits between you and the internet. It reads everything, surfaces what matters to your actual goals, and ignores what's merely engaging. Not an algorithm optimizing for your attention, but one optimizing for your understanding.

This is technically possible today. The missing piece is the business model. Attention-based advertising pays for the current internet. An AI that actively reduces your screen time is worth enormous value to users but destroys the revenue model of every major platform.

The first company to solve this economic contradiction will build something more important than social media.