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Thorsten Ball outlines his predictions for the future of software development, arguing that practices like code review, unit tests, and traditional coding will decline due to AI-driven paradigms and new computing models.
An engineer reflects on the guilt of using AI for faster answers, noting that understanding still takes time, and considers practicing problem-solving without AI to preserve skills.
The article argues that transformative AI could lead to higher interest rates by increasing demand for capital through high-return investments, potentially crowding out traditional projects and causing inflation during the buildout phase.
A Stanford study found that doctors became measurably worse at their job after AI assistance was switched off, raising concerns about skill erosion in AI-augmented professions.
The article discusses which jobs would survive the arrival of AGI or ASI, focusing on roles involving authority, human preference, and legal accountability.
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.
AI drastically reduces the cost of generating representations like business plans and code, shifting the organizational bottleneck from creation to validation and judgment in real-world contexts.
The article discusses the significant influence of AI on the video and film industry, citing 'OVERMAN' as an example of genuine industrial-grade output that marks a shift from previous limitations.
A petition calls on the U.S. Congress to establish federal Universal Basic Income to address economic disruptions caused by AI and automation.
A blog post reflects on a personal email about the human value of Stack Overflow communities, contrasting it with LLMs and urging the cultivation of relationships in technology.
An opinion piece discusses how AI and data centers, particularly the Stargate Project led by SoftBank and OpenAI, may severely impact local news organizations by reducing traffic and revenue, highlighting concerns about labor theft and the future of journalism.
The article explores how AI is dissolving boundaries in computing, enabling users to create applications with natural language, and questioning the future of operating systems and software distribution.
The article reports that 2026 unemployment data shows no unusual impact of AI on recent college graduates' employment, contrasting with prior expectations. It analyzes studies from CESifo and Stanford, finding no statistically significant trends in AI-related job displacement.
The article discusses how AI commodifies intelligence, making workers more replaceable and raising concerns about labor markets and societal structures in an unevenly resourced world.
The article argues that AGI has arrived, marking a threshold where AI can autonomously reason across domains, shifting the focus from AI as a human tool to organizations built around autonomous intelligence.
Foong Chee Mun, CEO of YTL AI Labs, counters the 'AI is coming for engineers' narrative by citing stable hiring data that emphasizes judgment over coding, and proposes an individual-first tool for engineers to track AI's impact on their work and pay.
The article argues that tech professionals, especially writers, should study humanities to develop critical thinking and communication skills essential in the AI era.
This inquiry report outlines how generative AI is changing work in the tech sector, highlighting negative impacts on workers and proposing policy changes for enforceable rights and control over AI use.
McKinsey's 2026 survey shows AI-induced job cuts occurred in only 14% of companies, less than half of expectations, but 39% now anticipate workforce reductions in the coming year.
The article discusses New York City's significant vulnerability to AI disruption in terms of economy, workforce, and governance, urging immediate safeguards and international cooperation.