Conclusion First

• Giants are pouring $300 million in salaries just to capture your precious last minute of daily attention and clicks.

• Generative AI pretends to release productivity while secretly creating sellable leisure time.

• GPU prices have skyrocketed, becoming a new currency, and computing power futures allow bubbles and profits to dance together today.

• Attention is now exhausted; even sleep, the final bastion, is openly priced beneath the sky by commercial algorithms.

• If you don’t price your own time first, the giants will purchase your future and dreams at sky-high costs.

Overview

Over the past 15 years, the logic of Internet commerce has evolved from “killing time” to “creating time.” Mobile devices and short videos have squeezed every fragment of time, and now generative AI aims to fill the void left by productivity tools. The reason giants are willing to pay top researchers salaries reaching $300 million and frantically hoard computing power is simple—they want to squeeze an extra minute out of everyone’s constant 24 hours and monetize it.

This article will dissect this trillion-dollar time heist, covering the evolution of the attention war, the battle for top talent, the layout of personal superintelligence, the economic transformation of computing power, future trends, and specific action guides.

Before ChatGPT appeared, people realized in the heated competition of the mobile internet that what was truly being captured was user time. The full-screen experience of TikTok, which makes people forget time, is a remarkably successful design!

1 The Attention War 3.0: From “Killing Time” to “Creating Time”

When all waking hours have been divided, where is the next battlefield?

In 2017, Netflix CEO Reed Hastings made a shocking statement during an earnings call: “Our biggest competitor isn’t HBO or Disney, but sleep.” This remark was taken as a joke at the time but has now become a prediction for the entire tech industry. netflix-competitor-sleep-uber-facebook

Three Waves of Attention Harvesting

The first wave came in the PC era with portal websites monetizing through time spent on the homepage; the second wave was the mobile era’s information streams, where TikTok and Instagram exploited fragmented moments to the extreme; the third wave is the AI era’s “efficiency paradox”—when ChatGPT helps you save two hours of work time, who will fill in those two hours?

According to the latest report from App Annie (now Data.ai), the average daily mobile usage time in the world’s top ten markets has surpassed 5.2 hours, with a year-on-year growth of only 0.3%, marking a mature platform phase. What does this mean? Incremental time has been exhausted, making the remaining time the ultimate battlefield.

Author: Richardson

full Link: https://iaiuse.com/en/posts/fa26599c