Curated AI News from Japan · 2026-08-24
4 of 7 Japanese-language candidates. Sources are a hand-picked whitelist, the ordering comes from model scoring, and the bar is whether it is useful to someone building AI in Japan — each entry says why we picked it. Most of this exists only in Japanese and never surfaces in English-language feeds.
AI時代、なぜ「判断できる人」が育たないのか ― 実践研究から見えた「判断経験が残らない4つの構造」を公開
リクエスト株式会社 released research on talent development and work design in the AI era, based on data from 980 companies and 338,000 people.
Why choose itThe company released the research that day, but provided too little detail on its methodology and data to assess the findings confidently.
ロボットの費用対効果が3年以内に人手を上回る――インテルが調査結果から洞察
Intel reports that 60% expect to operate many robots within five years and 67% expect workforce systems for human-robot collaboration by 2030, but only 40% have a formal strategy.
Why choose itIntel’s survey offers useful market signals for teams evaluating robotics investments.
AIエージェントで仕事はどう変わる？任せられる仕事と人に残る仕事
Examines which tasks AI agents can replace and which must remain with humans, moving beyond using generative AI only for drafting.
Why choose itThis same-day Japanese-language industry analysis is timely, but broad and light on actionable guidance.
「親友」だったロボット、 その死が突きつけるもの
The AI robot “モキシー” helped children with neurodevelopmental disorders practice eye contact and conversation. When its developer shut down in 2024, the robots stopped working, raising concerns about the impact on vulnerable children.
Why choose itThis older case offers lessons on product shutdowns, though its relevance to builders in Japan is limited.