Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
AI agents can now research information, analyze data, write content, execute workflows, interact with business systems and complete multistep tasks with limited human intervention. The article asks whether these agents are becoming part of the workforce or already have.
Read the original →AI agents are taking over offices and factory floors, working 24/7 without desks or vacations. NTT Data says their deployment is far more than an IT project. It recommends that companies build their AI workforce according to the traditional HR model.
Read the original →Cannon-Brookes says the hardest part of putting agents to work is not the model but the interface and the accountability.
Read the original →Only 32% of companies have been able to reflect analysis results in executive decision-making (PwC and HR Research Institute, 2026). The article explains an in-house method that uses generative AI to score interview comments, Python to test the correlation between interview ratings and post-hire evaluations, and BI tools to show effective hiring cost per channel and one-year retention. It also outlines cautions for the analysis, including range restriction and personal data protection.
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