inequality

U.S. workers' labor share of national income fell to 52.8% in Q2 2026, the lowest since BLS records began in 1947, even as corporate profits and GDP soar. Economists point to automation and AI-driven jobless growth as key drivers, warning of a widening K-shaped economy.

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.

作者借一篇帖子探讨超级智能AI带来的经济悖论：自动化在创造价值的同时可能削弱支撑其自身的经济生态、加剧价值集中并降低大众购买力，呼吁在自动化、人类劳动与利益分配之间寻找平衡，并推荐了2024年诺贝尔经济学奖得主Daron Acemoglu关于技术、就业与不平等的研究。

The article reflects on the suffering caused by inadequate healthcare and medical progress, calling for technological advancements to free humanity from fear and inequality.

A tweet argues that unequal access to life-extension treatments should not justify abandoning research; instead, efforts should focus on making treatments affordable to avoid only the rich benefiting.

The article critiques the celebration of AI's potential to displace jobs, expressing concern over the lack of mechanisms to distribute AI gains and the exacerbation of societal inequalities.

The article discusses hypothetical resource distribution after achieving ASI, questioning current wealth inequality and suggesting asteroid mining as a potential solution.

The article explores whether AI will democratize knowledge or become a gatekeeper, raising concerns about information inequality and control over what people can know.

Robert Reich argues that AI is already causing job losses and wage stagnation, and warns that without policy intervention, the benefits of AI will go to a wealthy few while most workers are left behind.

A tweet arguing that AI-driven productivity gains won't automatically benefit ordinary people, and calling for universal capital ownership to ensure prosperity is shared.

This PNAS study of 7.3 million academic papers finds that by 2025, over half show LLM influence, with significant inequality in adoption across lower-prestige and non-English institutions.

This essay explores the 'conversion trap' where AI delivers intelligence but fails to produce outcomes due to weak infrastructure and delivery systems, using COVID vaccine distribution as an example.

Elon Musk becomes the world's first trillionaire; the article visualizes the incomprehensible scale of a trillion dollars through comparisons of time, distance, weight, and potential societal impact.

This paper applies Random Forest Recursive Feature Elimination to Nigerian household survey data to identify minimal predictors that accurately classify poverty status, quintile distribution, and inequality position, showing that machine learning can reduce data requirements while preserving distributional information for monitoring poverty and inequality.

The article argues that the real threat from AI is not the technology itself but capitalism's inability to distribute the wealth created by automation, and calls for universal basic income funded by AI productivity to prevent economic collapse.

A new research paper uses GitHub Innovation Graph data to measure the 'digital complexity' of nations, revealing insights into GDP, inequality, and emissions that traditional economic data miss.

Pope Leo XIV's encyclical on AI, Magnifica Humanitas, focuses not on AI itself but on longstanding issues of inequality, war, and power concentration. The pope argues that AI built by a small elite cannot serve the common good and calls for oversight and disarmament in the AI arms race.

The article compares the current AI landscape to a musical chairs game, warning that rising costs and limited access are concentrating AI benefits among wealthy entities, and urging non-wealthy participants to act now before it's too late.

A Twitter thread discusses a New York Times front-page report stating that in the AI era, most people will become 'permanent underclass', a sentiment shared by VCs and founders in Silicon Valley.

Dario Amodei warned in a WSJ interview: While AI may significantly boost GDP, it could also exacerbate unemployment and social inequality.