In the past six months, the embodied AI industry has witnessed a surge in financing activities. Unitree Technology has made its debut on the STAR Market, and Zhiyuan is pushing forward with its plans for a Hong Kong listing, signaling the rapid growth of this sector. However, the industry has also been hit by a wave of departures among its top technical and business leaders. Notable examples include Zhiyuan's Chief Scientist, Luo Jianlan; Luming's Co-CTO, Ding Yan; and XPENG Robotics' core leader, Mi Liangchuan.

These departures have arisen from a variety of factors, including disagreements over technical approaches, team dissolutions, and the successive exits of key executives from multiple companies. Behind this exodus, several underlying trends emerge. Firstly, the industry is grappling with intense talent competition. Most of those who have left are staying within the embodied AI field, either launching their own startups or joining new teams, a testament to the sector's ongoing expansion and allure.

Secondly, the misalignment between the pace of technological iteration and capital exits has put significant pressure on technically oriented executives. As technology evolves rapidly, the expectations for immediate commercial returns can clash with the longer timelines required for groundbreaking innovations, leading to friction and departures.

Moreover, the industry's overheating has given rise to malpractices such as false revenue reporting and manipulation of ranking lists (here, "Brushing the leaderboard" is a term used to describe practices like manipulating rankings; while "ranking list" is retained in pinyin for context, it refers to these deceptive practices). These unethical behaviors have prompted pragmatic leaders to seek new opportunities and environments that align more closely with their values and long-term visions.

However, this wave of departures should not be interpreted as a sign of industry decline. Rather, it represents an inevitable phase in the embodied AI sector's evolution, as it transitions from a technical competition to a commercial one. Startups are moving away from relying solely on individual capabilities and are instead focusing on building robust organizational capabilities. This shift is a necessary stage in the industry's development, paving the way for more sustainable growth and innovation.

Looking ahead, the talent war is expected to persist, with frequent internal restructuring within companies becoming the norm. In this dynamic landscape, talent management capabilities will emerge as a core competitive edge for enterprises. Those that can effectively attract, retain, and develop top talent will be better positioned to navigate the challenges and opportunities that lie ahead in the embodied AI sector.