News and analysis on Careers & Upskilling, each with sources, continuously updated from our radar and research.
A German parliamentary report and IAB data show that AI causes no mass layoffs, but up to 1.6 million jobs are shifting as entry-level positions in office sectors decline.
OpenAI has outlined new perspectives on organizational design, considering how artificial intelligence could enter corporate structures beneath, beside, and between human workers.
An internal study from Anthropic details profound workplace changes: junior technical hiring has dropped to single digits while AI agents outwork human staff hours by six to one.
New macroeconomic and IT spending reports reveal that AI delivers productivity gains almost exclusively to Big Tech, while broader industries face flat output and delayed financial returns.
The entertainment union IATSE has appointed video engineer Jillian Arnold to the newly created role of Labor and Technology Intelligence Officer to guide artificial intelligence strategy.
Actor unions in Japan and the UK are pushing back against unauthorized AI voice cloning and buyout contracts that surrender vocal rights to train generative speech models.
A YouGov survey for SThree reveals that while two-thirds of German STEM teams see AI productivity gains, nearly 40 percent report resignations driven by task changes and workload pressure.
Research by the Institute for Employment Research shows that while experienced employees benefit from AI adoption, employment among young workers in exposed jobs has declined.
A Bitkom survey reveals 27 percent of German tech startups halted hiring due to AI. Meanwhile, the IW Cologne reports stable employment figures across the broader economy.
Replit has replaced Claude as the default model in Replit Agent with OpenAI to curb inference costs, as DeepSeek launches V4.1-Flash and pressure mounts across developer platforms.
Anthropic's internal metrics reveal Claude-Code agents now perform six times the hours of human staff, while junior developer hiring plunged from 27 to 9 percent.
A new study by Anthropic reveals a sharp divide: while AI insiders expect massive automation by 2030, the general public anticipates a far slower transformation of everyday work.
