At Meta, artificial intelligence has become a central, unavoidable topic.
According to Meta employees interviewed by the media—as well as public posts on LinkedIn—the company has launched an intensive "AI Training Week" initiative. The core objective is to encourage all employees to experiment more extensively with AI tools and to foster the deep integration of AI into their daily workflows.
Over the past few weeks, Meta has hosted a series of hackathons, technical demonstrations, and other related programs. Employees from all levels and with varying degrees of seniority have actively participated, showcasing various projects and solutions developed using AI technologies. Notably, some of these projects were built using Anthropic’s "Claude Code"—a technology that has now seen widespread internal adoption across Meta.
This represents yet another significant step in Meta’s recent push to ensure the entire workforce embraces AI. Beyond conducting various training sessions, these efforts also include setting organization-wide goals for AI adoption and restructuring certain teams around "AI-native" pods. In fact, initiatives aimed at driving company-wide AI adoption are becoming an emerging trend across the U.S. corporate landscape, as major companies seek to boost productivity through AI technologies. Google, for instance, has informed some employees that their utilization of AI tools will be factored into their performance reviews; similarly, JPMorgan Chase has explicitly communicated to its software engineers that it expects them to leverage AI tools to save time on their work.
A Meta spokesperson told the media: "As is well known, this is a priority for us, and we are committed to leveraging AI to help our employees with their daily work."
Internally, Meta has branded these training sessions with titles such as "AI Transformation Week." One employee who participated in some of the sessions revealed to the media that, during the training period, employees watched demonstrations on how to utilize intelligent agents and other AI tools on both laptops and mobile devices, thereby gaining systematic, hands-on knowledge of how to apply these AI tools.
Some of these "AI Week" activities took place as early as March. Separately, another Meta employee told the media that, toward the end of last year, certain teams had already independently organized their own dedicated "AI Weeks." During these events, employees engaged in "feeling-based coding"—creating deliverables of practical value without being bound by strict output requirements.
According to a LinkedIn post by one employee, a hackathon held during Meta’s AI Transformation Week allowed participants to experience live demonstrations of internal AI tools—such as "Claude Code"—and other related utilities. AI agents emerged as a key area of focus, with the core objective of enabling employees to control autonomous systems capable of handling a wide range of routine tasks—from writing code to generating reports—thereby further alleviating employee workloads.
The field of design was also integrated into this AI transformation initiative. According to a personal website belonging to a Meta product manager, she actively showcased her use of Claude Code to construct an interactive "mood coding guide" for Meta’s product design efforts, thereby demonstrating the tangible practical value of AI in the design workflow.
**Headcount and Objectives**
Even as some employees are still in the process of learning AI technologies and adapting to AI tools, Meta this week laid off hundreds of employees across its Reality Labs division—which oversees virtual reality projects—and several other departments. Notably, the company has invested billions of dollars in recruiting top-tier AI talent and building out its AI infrastructure. Yet, its highly anticipated AI model—internally codenamed "Avocado"—has yet to see an official public release.
Although this situation has fostered an external perception that Meta is lagging behind in the AI race, a top Wall Street analyst stated earlier this month that Meta’s aggressive internal AI transformation could, in fact, yield "insurmountable" advantages in terms of cost and performance, ultimately becoming a core pillar of its competitive strength.
Indeed, Meta has been driving a series of changes in an effort to realize CEO Mark Zuckerberg’s vision of becoming an "AI-native enterprise." As previously reported by the media, within the Reality Labs division, employee titles have been rebranded—for instance, to "AI Builders"—and these employees have been reorganized into AI-native "pods," thereby further deepening the integration of AI into business operations.
According to internal documents reviewed by the media, Meta has also established specific targets for various teams regarding the adoption of AI tools. These targets are tailored to the distinct business functions of each team, ensuring that AI applications are precisely aligned with their specific workflows. Separately, according to a copy of a post viewed by the media, Meta CTO Andrew Bosworth stated on March 24 that he would personally lead the company's internal adoption of artificial intelligence—an initiative internally dubbed "AI for Work."
"These tools hold the promise of empowering every employee to do their jobs even better," Bosworth wrote in a post on X.
