Overview
- New research from BCG and the University of California, published in Harvard Business Review, identifies an “AI Brain Fry” subset: about 14% of 1,488 US full‑time workers reported mental fog, headaches and slower decisions when juggling multiple agents, with roughly 40% more serious mistakes and higher quit intent.
- Harvard Business Review reporting by Aruna Ranganathan and Xingqi Maggie Ye finds a productivity paradox in day‑to‑day use: employees finish tasks faster yet take on more work, fragment attention and intensify their workload rather than gaining relief.
- A peer‑reviewed Science Advances study led by Sterling Williams‑Ceci shows AI autocompletion can shift users’ attitudes toward the tool’s suggested positions, even when participants are warned that the assistant is biased.
- The EU AI Act designates recruiting systems as high risk with requirements for risk management, quality data and human oversight, while HR practitioners warn against opaque tools becoming effective gatekeepers as surveys show about half of recruiters plan to expand AI use in preselection.
- A Bitkom survey reports 41% of German firms already use AI, with data‑protection demands (77%) and a skilled‑labour gap (70%) as top hurdles and many surprised by costs, while a Forsa poll shows 87% of teachers want clear, practical rules for classroom AI.