Eric Elliott describes the collapse of his career and consulting business after generative AI reshaped software work and how people learn. His developer mentorship and consulting company once relied on technical writing that drew about 700,000 monthly reads; after ChatGPT launched, readership fell by roughly 99%, and fewer new clients replaced graduates of his programs. A year-long search led to an engineering management role at Adobe Firefly, where his team built a shared platform for adding AI features to Adobe apps. He was laid off in October 2025. Consulting brought a short-lived major contract, but when it ended and smaller projects failed to cover expenses, he fell behind on rent and was evicted in 2026. He now lives in his car while applying for leadership jobs.
Elliott argues that his experience reflects a broader labor-market crisis, not simply personal misfortune: companies are adopting AI to operate with smaller teams, while large numbers of skilled, displaced professionals compete for fewer openings. He cites about 170,000 announced U.S. tech job cuts in 2026 and Microsoft buyout offers to roughly 60,000 workers as signs of mounting pressure. He also challenges the advice to “just start a business.” AI makes building software easier, but does not solve the harder problem of finding customers; with millions able to create apps, competition for attention and revenue is intensifying. His central warning is that AI expertise and decades of experience do not guarantee job security or financial protection.
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![Fiber lasts decades, GPUs last three years: the AI boom isn't the dot-com boom [video]](https://hntoday.pixelshot.io/screenshots/20261030/6123fca6c1e94075_tn.jpeg)
The title argues that AI infrastructure differs from dot-com-era investments because fiber lasts for decades while GPUs become outdated in about three years. The provided content contains no video transcript or further details. (youtube.com)
Arsaze is an AI-powered video editor that turns plain-language requests into edits on a real timeline, with changes users can review or undo. It also offers transcript-based editing, Tab-complete suggestions, and frame-specific client feedback. (arsaze.com)
Anthropic added a Claude Code setting that disables the last approval prompts for risky commands like deleting files. The company warns through the setting’s name, but removing the safeguard raises the risk of agents causing data loss. (theregister.com)
Spawn’s ten-person team says it shipped 77,000 substantial changes in a month by relying on permanent AI agents, spending $3.1 million on tokens. The company uses agents to own areas such as engineering, finance, and bug triage while humans guide larger projects. (twitter.com)
AGI could affect the economy by increasing individual competence and improving coordination among people and organizations. These channels may shape productivity, economic growth, and how the benefits of advanced AI are distributed. (institute.deepmind.com)
GitHub Copilot Fusion routes coding tasks among Anthropic and OpenAI models to balance performance, cost, and speed. Benchmarks found it scored two points below Claude Opus 5.5 while costing $5.59 per task - about half as much - and using roughly half the tokens. (twitter.com)
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