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Wired AI argues that Silicon Valley technology leaders do not understand society’s growing frustrations with AI. The article criticizes their public messaging as disconnected from legitimate concerns about AI’s impact.
An AI-assisted review of 291 Chinese city planning documents found that low-altitude economy appears in 257 cities’ plans for the next five years. Compared with the previous planning cycle, cities replaced nearly half of their listed industry tracks while increasingly adopting numeric portfolio labels.
Elon Musk said China is currently the strongest competitor in artificial intelligence. He also linked the country to his earlier prediction that China would become SpaceX’s most important rival in rocket technology.
Nick Bostrom explores two contrasting possibilities for AI’s future: existential catastrophe and a world where AI solves every major problem. He examines how humans might find meaning when robots and AI outperform people in virtually every task.
Hays Plc plans to focus its recruitment business on roles that are harder for artificial intelligence to replace. The shift reflects broader efforts by recruitment firms to adapt to AI-driven changes in the labor market.
Coverage from WRC2026 argues that embodied intelligence has not yet reached a breakthrough comparable to the iPhone moment. The field needs more than an impressive standalone product; it requires a complete ecosystem to support continued development and adoption.
Consumers are becoming more wary of AI as the technology becomes increasingly difficult to avoid. The article argues that widespread adoption alone has not translated into public acceptance, creating a challenge for Silicon Valley.
A Pew Research Center survey found that the youngest members of the US workforce are becoming increasingly skeptical of artificial intelligence. Their concerns center on the possibility that rapid AI advances will cause widespread job losses.
AI pioneer Fei-Fei Li says technologists need to communicate the benefits of artificial intelligence more effectively. She warns that growing public opposition in the US could create risks for global AI progress.
Banma Intelligence is shifting its automotive software strategy from traditional smart cockpits toward AI-native vehicles. The company is focusing on on-device omni-models, AI agents, and AI operating systems that could make cars more autonomous and context-aware.