According to Reuters, Meta had previously planned to restructure its workforce on a large scale through artificial intelligence. However, the plan was eventually adjusted due to AI agents failing to meet expectations, strong employee backlash, and declining internal morale. Internal documents revealed that Meta had launched a project called "OT Project" (Organization Transformation), aiming to create an "AI-native" organizational model. Some teams could be cut by as much as 60%, with the remaining work supervised by a smaller number of "highly skilled" employees overseeing virtual AI employees.

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Under the original plan, Meta expected to start the first round of staff adjustments in May, with the second round of layoffs planned for November. However, just hours before the first adjustment began, CEO Mark Zuckerberg halted the subsequent layoff plans. The setback mainly stemmed from multiple factors, including the actual productivity gains from AI agents falling below expectations, and employees' concerns about the company using tracking software to collect work data and train AI systems that might replace their jobs.

According to reports, Meta employees had posted numerous protest messages on the internal network, and some office locations also saw satirical posters targeting AI projects and employee policies. Internal emotional scores dropped from 74% to 55%. In July, Zuckerberg also admitted that the development of intelligent agents had not met previous expectations.

This incident reflects that although AI agents are seen as an important direction for enterprise automation, there are still multiple challenges in transitioning from experimental environments to large-scale production applications, including technical reliability, organizational management, and employee acceptance. For technology companies, finding a balance between human-machine collaboration and efficiency improvement will become a key issue in the process of AI implementation.