智源研究院发布2026十大AI技术趋势：“技术泡沫”是假命题

Core Insights - The Beijing Zhiyuan Artificial Intelligence Research Institute has released its predictions for the top ten AI technology trends for 2026, focusing on foundational models, AI applications, and key industries [1] Group 1: Foundational Models - The institute believes that world models will become a consensus direction for AGI, as high-quality text data is nearly exhausted. AI must learn not only language but also the rules governing the physical world, necessitating the processing of multimodal information such as images, sounds, time, and space [3] - In the realm of embodied intelligence, the number of companies has exceeded 230, but many exhibit homogeneity in their business models, potentially leading to industry "clearing." The introduction of world models may serve as a crucial technological anchor for the next stage of embodied intelligence [3] Group 2: Consumer Applications - The competition in consumer AI applications is becoming clearer, with a focus on "super applications" characterized by "All in One" functionality, moving beyond single-tool attributes to create a closed loop from information acquisition to task planning and problem-solving [3] - Despite the presence of major players in the general market, there are still opportunities for breakthroughs in high-barrier vertical fields such as health and education, where vertical applications demonstrate differentiated competitiveness [3] Group 3: Reasoning Capabilities - The institute asserts that the notion of a "technology bubble" is a false proposition, as reasoning optimization has not yet reached its ceiling. Progress in this area will remain a key factor supporting the large-scale application of AI in 2026 [4]