On January 18, 2026, Chery Group used its “2026 Chery AI Night” event in Wuhu to showcase the MoJia family of embodied AI robots from its AiMOGA unit. The robots, including traffic police and medical guide models, were presented as Chery’s “third growth curve” alongside smart vehicles and manufacturing, with deployments already reported in over 30 countries.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Chery’s AI Night underscores how quickly embodied AI is moving from flashy demos to being framed as a full‑blown business line. By positioning AiMOGA’s MoJia robots as a “third growth curve,” parallel to cars and smart manufacturing, Chery is signaling that it sees service and security robots as a long‑term strategic bet, not a side project.([prnasia.com](https://www.prnasia.com/lightnews/lightnews-1-77-93062.shtml)) The robots are pitched for everything from hospital guidance to retail and public safety, backed by real deployments and an explicit focus on iterative learning from field data.
For the AGI race, embodied platforms like MoJia matter because they create vast new streams of multimodal data and closed‑loop interaction where models must perceive, plan and act in messy physical environments. That is exactly the regime where today’s large language models are weakest and where progress will likely be most correlated with general‑purpose intelligence. Every large OEM that builds its own robot stack—Tesla, Figure, Xiaomi, now Chery—adds to a diversified global experiment in how to couple big models with real‑world control systems. The competitive implication is that winning in “car AI” or cloud models alone won’t be enough; the next phase of advantage may accrue to those who can fuse perception, language and motor control into scalable robotics product lines.



