自驾转具身的路，越来越难了。

TL;DR - A WeChat post from 自动驾驶之心 reports that the once-easy career pivot from autonomous driving to embodied AI is closing in 2026, as robotics companies now prioritize candidates with actual robotics and large-model training experience over cross-industry AD engineers.

• Historically embodied-AI startups cloned teams straight from the AD talent pool — founders like 星海图高继扬, 智平方郭彦东, and 它石智航陈亦伦 all have AD backgrounds, with ~40 senior execs crossing over.
• Recruiters report that since early 2026, interview pass rates for cross-industry candidates have dropped sharply, notably for world-model researcher roles.
• Technical gap cited: vehicles have ~2 DOF (steering, speed) versus 20+ DOF contact dynamics in robots; AD chases one universal solution with no "downstream task" concept, while robotics is a set of tasks requiring pretrain → post-train → scenario fine-tuning.
• Skills teams now demand: VLA training, LLM pretraining/post-training, RL (RLHF, RLVR, policy optimization), large-scale distributed training, and real-robot data closed-loop experience; AD experience alone is treated as depreciating rather than useless.