Labor protections should encompass all components of the AI life cycle and value chain, starting from the extraction of mineral resources (e.g., copper, aluminum, zinc, nickel, iron, titanium, quartz, and polymer) needed to develop AI components. This includes the conceptualization and design phases of AI systems, as well as the development and training of algorithmic models through data collection, classification, and variable selection. Integrating labor protections within the AI lifecycle and value chain framework fosters a more inclusive discussion on the necessary protections for those involved in AI development and production, countering the tendency to focus solely on rights implications during AI deployment and management.