employment

A new theoretical hiring paper explores how AI might improve cover letters but reduce hiring chances, as employers rely more on experience, disadvantaging qualified beginners.

This article explores the daily experiences and challenges of employees working in data centers across America.

The author discusses a past podcast episode where they explored AI's potential negative impacts on employment and the economy, concluding with optimism, and seeks feedback for a follow-up.

The article discusses the potential impact of AI on the job market, questioning how society will handle job displacement and income security due to AI advancements.

A global Pew Research survey reveals that a majority fear AI will cause job losses, especially in wealthier countries like Australia, South Korea, and the US. Despite concerns, many people have mixed feelings, equally concerned and excited about AI's impact on daily life.

Jensen Huang argues that automation is driving employment growth in fields like software engineering and radiology by clearing task backlogs, contradicting the narrative that it destroys jobs.

The article questions the appeal of citizenship in the United States, Canada, Australia, or Germany and lists 14 websites for finding global remote jobs paid in US dollars.

The tweet discusses the difficulty in hiring people with a founder mindset and high agency, as opposed to those who only execute on prompts, reflecting current tech hiring trends.

The article questions the contradiction between AI's potential to disrupt jobs and the continued expectation of universal employment, urging a reevaluation of work in the AI era.

A tweet discussing issues in the open-source AI community, where researchers hedge their careers by aligning with closed-source labs, and referencing Anthropic's stance on user interactions.

An article from The Economist highlights a trend where AI is beginning to create more jobs than it eliminates, indicating a positive shift in the employment landscape.

Technology is making work easier but is also causing job displacement for people who have studied for years, raising concerns about employment.

The article discusses how concerns about AI causing widespread job losses are diminishing, as AI advancements are now leading to a significant increase in job creation.

A Q4 2026 'Who's Hiring?' thread on lobste.rs providing a template for companies to list job openings with details on positions, tech stack, and compensation.

A Stanford study finds that AI disproportionately impacts entry-level jobs by targeting codified knowledge, leading to slower employment growth in those areas while jobs requiring tacit knowledge grow faster for mid-career and senior workers.

This French government article analyzes AI's impact on employment, highlighting effects from job substitution to productivity gains, and emphasizes the need for public support in AI adoption and worker retraining.

This tweet argues that the real AI labor crisis will occur when companies stop replacing employees who leave, rather than directly firing them.

Anthropic researcher Sholto Douglas predicts that AI models will be capable of automating 95% of computer-facing jobs by 2028, but widespread automation may not occur until the 2030s due to factors like compute shortages and policy, stressing the need for societal preparation.

A study finds that GLP-1 drugs are associated with a larger increase in women's employment rates than obtaining a college degree.

A tweet expresses optimism about future jobs adapting, while a quoted reply predicts that by 2028 AI and robots will replace humans in all jobs, driving employment to zero and sharply increasing economic output.