Artificial Intelligence

AI Was Supposed To Take Your Job. Why Hasn't It?

Jul 1, 2026 · 20:23

Phil Andrews argues that AI tools like Claude and ChatGPT probably won't take your job, but someone using AI will if you don't use it. Opening with the 1967 debut of the ATM at Barclays, he shows bank tellers instead doubled over the next 50 years, peaking in 2007. Of every occupation title tracked by the U.S. Census over 60 years, only the elevator operator was fully eliminated by automation, while autopilot made airline pilots ten times more numerous. Citing MIT economist David Autor's research, he notes 60% of today's jobs didn't exist 50 years ago, because inventions that make work more valuable create new jobs rather than replacing workers. Using his 3D-printed Maslow's hierarchy pyramid, built with Claude, he explains competing against non-consumption, and footnotes that elevator operators retired because modern skyscrapers like the Burj Khalifa demand computer-managed elevators.

Why Everyone Is Wrong About the AI Bubble

Dec 23, 2025 · 21:43

Maxinomics asks if the AI boom repeats the Dotcom bubble, arguing it rests on three claims — AI keeps getting better, we need more data centers, everyone is using it — tested against the Dotcom era's 'critical lie': $500 billion of fiber, 90% unused as 'Dark Fiber.' It explains how models train on billions of word-guess flashcards, why one video frame packs 1 million times more information than a word, and why Nvidia chips run around the clock — no 'Dark GPU' equivalent — while data centers need power equal to 100 nuclear plants. It covers ChatGPT's retention rebound past Google's 95% benchmark, DeepSeek's $6 million model that cut Nvidia 17% overnight, and Jevons' Paradox — whale oil to kerosene — driving a 50x AI-use surge, concluding AI is a forest expanding, not a bubble.