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Meta is changing expectations around employee use of artificial intelligence, tying performance reviews and bonuses more closely to how workers deploy AI tools in their daily roles.
At an all-company meeting last month, leaders outlined changes to Meta’s performance management system that connect ratings and incentives to evidence of AI-driven output.
Central to the approach is an AI-powered performance tracker known as Checkpoint, which aggregates data from systems employees already use, including Google Workspace, to summarize individual contributions and speed up review preparation.
How AI shapes performance reviews
For software engineers, Checkpoint examines how many lines of code are generated using AI tools, alongside more than 200 additional data points. Those include error rates, the number of bugs tied to an engineer’s work, and how much code is written without AI assistance.
“To be clear, this is not an activity tracker - it’s an impact-evidence starter,” one HR leader told employees during the meeting. Managers then assess an employee’s overall impact using the Checkpoint summaries before assigning a performance rating.
Meta has expanded access to a range of AI models to support those expectations. Alongside its own Llama models, employees can use tools from other companies, including Google’s Gemini 3 Pro and OpenAI’s GPT-5, for coding and other tasks.
Bonuses tied to AI-driven impact
Checkpoint was introduced alongside changes to Meta’s bonus structure, according to an internal memo. Employees who receive the highest rating among the four performance tiers will be eligible for a 200% individual bonus multiplier.
The company is also launching a new “Meta Award,” offering a 300% bonus multiplier for top performers.
“We’re evolving our performance program to simplify it and placing greater emphasis on rewarding outstanding performance,” a Meta spokesperson said. “While our employees have always been held to a high-performance, impact-based culture, this new direction allows for more frequent feedback and recognition in a more efficient way.”
Employees were told in November that performance outcomes would increasingly reflect AI adoption, with those demonstrating “AI-driven impact” eligible for higher rewards.
AI embedded into operations
Executives have framed the changes as part of a broader shift in how work gets done. On Meta’s fourth-quarter earnings call, CEO Mark Zuckerberg told investors that “2026 is going to be the year that AI starts to dramatically change the way that we work.”
In an internal memo, Zuckerberg said AI tools would help employees “get more done” while flattening teams and elevating individual contributors. Work that once required large groups can now be handled by a single highly skilled employee, he said.
That thinking is already influencing workforce decisions. In October, Meta cut roles in its risk division, telling staff that many routine decisions could be handled more efficiently by automated systems.
Elsewhere in the tech sector, companies are also urging greater AI use, though not all without caution. Microsoft staff working on AI safety recently circulated a memo warning that OpenClaw, an open-source AI agent tool, is “not a production-ready consumer product,” citing potential security risks tied to AI systems that can take actions across the web.
