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The article examines how artificial intelligence threatens upward mobility and the meritocracy, arguing that AI will test the rise of the 'homoploutic' class — those rich in both labor and capital income — and reshape the relationship between capital and labor.
A 25-year-old laid off due to AI shares his anxieties about surviving a post-jobs economy and asks others for plans to prepare for worst-case economic collapse scenarios.
In a recent talk, Anthropic co-founder Jack Clark declared that by 2026 there is already compelling evidence that the "singularity" has begun — with AI systems achieving breakthroughs in frontier scientific fields such as mathematics, biology, and physics — and predicted that U.S. GDP could grow to $44 trillion by 2030, driven by AI.
该文章引用 Andrej Karpathy 对 AI 采用率的估计，警告大多数人低估了 AI 的发展速度，认为忽视 AI 的人将在未来五年内失去由 AI 创造的经济机会，社会正走向两极分化。
A 60 Minutes report examines AI's impact on employment, featuring Nobel laureate Daron Acemoglu warning unemployment could triple within a decade if inaction continues, alongside expert AI trainers at Mercor and law firms deploying AI personas as tools rather than replacements.
Early warning signs indicate AI is already reshaping the job market in New York City, with the pace of change outstripping policy and workforce responses.
The author draws a parallel between the Industrial Revolution, which replaced physical labour with machines, and the current AI revolution, which increasingly replaces intellectual labour, and asks what scarce form of human value could emerge when intelligence becomes abundant. The post invites community perspectives on the future of work in an AI-driven economy.
A Brookings paper projects $10.3 trillion in AI infrastructure investment from 2025 to 2032, highlighting financing risks and potential inefficiencies in demand.
US employers reported 116,175 job cuts this year attributed to AI, making it the leading reason for layoffs according to Challenger's data. The article highlights how companies like Block are leveraging AI tools to reduce workforce while seeing stock gains.
Chamath warns that banning open-source AI in the U.S. could force companies to use costlier models, harming earnings, valuations, and the stock market.
AI automation could lower wages by replacing tasks and weakening economic feedback loops, shifting income to land owners, with potential solutions in resource taxation and universal basic income.
A blog post details using AI models like Qwen-3.8-Flash-Next, Fable 5.1, and GPT6 Astra to reverse engineer and modernize the 1989 game War of the Lance, highlighting the economic implications of transformer-based AI for game development and modding.
The article discusses the addictive nature of building with AI, comparing it to a dopamine-driven loop and warning about financial and psychological risks.
Goldman Sachs research predicts that almost half of the S&P 500's EPS growth in 2026 will come from AI investment, but the earnings boost from hyperscaler capex is expected to fade by 2028, shifting the focus to productivity gains.
The article reports on a historic surge in US infrastructure investment focused on AI and data centers, projected to average 3.63% of GDP annually from 2025 to 2032, totaling approximately $10.3 trillion and surpassing previous major buildouts like railroads.
The article discusses a scenario where AI costs drop so rapidly that major AI companies may not recoup their investments, citing Epoch AI's research on AI cost reductions outpacing other transformative technologies.
The Brookings Institution forecasts that total investment in data centers and AI infrastructure will reach $10.3 trillion between 2025 and 2032, averaging 3.6% of GDP per year.
The article presents research on the rapid decline in AI performance costs, averaging a 47% quarterly drop across key benchmarks, highlighting a transformative economic trend for AI technology.
The article discusses how the author avoided the Secretary Problem in hiring for a Clojure-based project in the software industry, advocating for non-zero-sum hiring practices amidst post-ZIRP economic conditions.
This article critiques the core functions of AI for their dual destruction of the economy and human nature, arguing that AI will lead to economic collapse, the dehumanization of work, and the homogenization of human thought.