Meta Chief Technology Officer Andrew Bosworth recently directed that time savings generated by artificial intelligence be reinvested into product development rather than converted into additional employee leave. During a company question-and-answer session in early July, an employee inquired whether productivity gains from AI tools could restore Meta Days, a discontinued holiday program that previously granted staff extra paid time off. Bosworth responded unequivocally, stating that employees should utilize any additional time to build more features and services for Meta’s billions of daily users. He emphasized that his team executes the most significant technological work globally and should channel efficiency gains directly into user-facing improvements. Addressing the suggestion as a misguided career strategy, Bosworth compared the request to a child asking parents for more vacation time, later clarifying that he delivered his remarks too harshly and acknowledged the question was likely posed tongue-in-cheek. Meta currently compensates staff with four weeks of annual leave, standard public holidays, and two flexible choice days that replaced the discontinued holiday program. The company declined to issue a formal statement regarding the exchange. Bosworth’s remarks intersect with an ongoing industry-wide discussion regarding how generative artificial intelligence will reshape workplace dynamics and employee expectations. While some leaders anticipate that AI-driven efficiency will reduce workloads and enable longer personal time, others foresee a shift toward intensified output expectations. Meta’s leadership has aligned with the latter trajectory, suggesting that automation should accelerate product iteration rather than compress the workweek. This perspective mirrors broader corporate trends where efficiency gains are increasingly directed toward scaling operations and expanding output. Industry analysts and technology executives continue to project divergent outcomes for AI’s labor impact. Morgan Stanley forecasts that generative AI will increase personal income and enable workers to pursue additional employment opportunities, while some executives predict a gradual transition toward single-earner households due to household automation. Conversely, companies like Amazon have implemented workflows that leverage AI to maintain high productivity targets with leaner staffing models. Bosworth’s comments underscore a growing divergence in how technology firms approach workforce optimization in the age of artificial intelligence. By explicitly prioritizing expanded product development over reduced hours, Meta signals its intent to convert algorithmic efficiency into competitive advantage rather than employee leisure. The exchange highlights the broader strategic question facing the technology sector: whether AI will fundamentally redefine the relationship between work intensity and free time, or simply amplify existing operational demands. As automation tools become standard across corporate environments, leadership philosophies on productivity distribution will likely dictate workplace norms and talent retention strategies throughout the industry.