Meta Chief Technology Officer Andrew Bosworth has said productivity gains from artificial intelligence should be used to increase the amount of work employees can produce rather than create additional time off, as the technology company pushes wider adoption of AI tools across its workforce.
Bosworth made the remarks during an internal employee Q&A in July after being asked whether productivity improvements generated by AI could eventually allow employees to receive additional company-wide days off.
The question referred to “Meta Days”, additional paid days off that the company introduced during the Covid-19 pandemic. Meta discontinued the programme in 2023 as employees returned to offices and the company shifted its workplace policies.
Bosworth rejected the suggestion that greater AI-driven efficiency should lead to more vacation time. Instead, he argued that productivity gains should enable Meta employees to build and deliver more products for the billions of people who use the company’s platforms.
The Meta CTO initially described the employee’s question as “very dumb” and questioned whether repeatedly asking a manager for additional days off represented a productive career strategy. He later acknowledged during the exchange that his initial response may have been too harsh.
His comments come as Meta increases its focus on using artificial intelligence internally, alongside the billions of dollars it is investing in AI models, infrastructure and consumer products.
Bosworth has been overseeing Meta’s “AI For Work” initiative, which is intended to accelerate AI adoption across the company. The programme is focused on integrating AI tools into employees’ daily workflows and helping teams operate more efficiently.
Meta has also been developing AI agents for its internal infrastructure. In April, the company said its Capacity Efficiency Program uses AI agents to automate the identification and resolution of infrastructure performance issues. According to Meta, the system can reduce some manual investigations that previously required hours to a matter of minutes.
The wider push reflects how technology companies are increasingly examining whether generative and agentic AI can change workplace productivity, particularly in software development, research and other knowledge-based roles.
Bosworth’s remarks also enter a broader debate around how the economic benefits of AI-driven productivity should be distributed. Companies are exploring whether efficiency gains can help teams increase output, reduce costs or operate with smaller workforces, while employees are also assessing what greater automation could mean for workloads, skills and working patterns.
Meta’s approach indicates that the company currently views AI productivity primarily as an opportunity to increase organisational capacity rather than shorten working hours.
The company has approximately 78,000 employees and has been encouraging broader use of AI as it seeks to operate more like smaller AI-native companies. Meta is simultaneously investing heavily in its AI ambitions, including infrastructure and the development of increasingly capable models.
Bosworth has played a central role in those efforts. Alongside his responsibilities as CTO, he has been involved in Meta’s internal AI adoption strategy as the company works to incorporate the technology into both its products and operations.
For Meta employees, the comments provide a clearer indication of how management currently views the productivity benefits associated with workplace AI. Rather than translating efficiency gains into additional time away from work, the company is positioning those gains as a way to increase what teams can create and deliver within existing working arrangements.or MarTechAI, I recommend the main headline, “Meta CTO says AI productivity gains should mean more output, not more time off.” It captures the actual news without turning Bosworth’s remarks into a broader claim about what AI should mean for all workers. Meta’s internal AI strategy provides relevant context here, with the company actively encouraging employees to use AI to accelerate work and increase organisational efficiency.
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