Closing the workforce blind spot in corporate AI governance

This brief brings together global corporate benchmarking evidence and policy analysis on AI governance, using China’s labour-market and policy context as an important lens while drawing wider lessons on disclosure, early warning and transition support for jurisdictions facing similar challenges. 

AI is reshaping work faster than the systems designed to govern its impact.
While more companies are beginning to disclose high-level AI governance principles, our new policy brief finds that only 13% of 200 major technology companies refer to workforce or employment impacts in an AI context, and just one mentions potential job displacement.

The answer is not to create a new reporting regime from scratch. The energy transition already provides a useful precedent: existing workforce and transition-disclosure frameworks can be extended to cover material AI-related impacts on jobs, skills and restructuring.

The brief proposes a three-part response: stronger disclosure, earlier warning of emerging workforce risks, and better transition support for affected workers.

This can also help inform global policy discussions, including the Global Dialogue on AI Governance and wider post-2030 agenda conversations, by providing company-level evidence on how AI governance is being put into practice and where disclosure gaps remain.