Meta Plans AI-Driven Hiring Overhaul, Internal Document Reveals

Posted: by Alvin Palmejar

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Meta is ramping up its use of artificial intelligence — not just in its products and infrastructure, but within its own human resources department. According to an internal document obtained by Business Insider, the tech giant plans to deploy AI to automate several key aspects of its recruitment process in the latter half of 2025.

This move is part of Meta’s broader strategy to integrate AI across the company. From coding tools to a massive new data center the size of Manhattan, Meta has made it clear that AI will be at the core of its operations going forward. Now, the same technology is poised to transform how the company hires talent.

AI to Assist — and Evaluate — Interviewers

One of the most notable initiatives in the internal document involves using AI to assess the performance of Meta’s human interviewers. The company’s AI assistant will monitor how inclusive interview questions are and evaluate interviewers based on metrics like how often they advance candidates and the quality of the feedback they provide.

Meta also intends to use the AI assistant to help interviewers manage their schedules, track how many interviews they’re willing to conduct weekly, and catalog their skills — including language proficiencies.

The company hopes this will improve what it refers to as the “interviewer conduct rate” — essentially how many scheduled interviews are actually carried out — and boost the overall efficiency and consistency of its hiring process.

Automation of Administrative Tasks

Beyond evaluating interviewers, Meta plans to use AI to automate several back-office tasks related to recruitment. These include matching interviewers with appropriate candidates, transcribing interview notes, and flagging job posts that overlap.

The goal is to reduce the administrative burden on recruiters and streamline the workflow, allowing hiring teams to focus more on decision-making and less on repetitive tasks.

AI will also help in assessing candidates’ coding abilities. The document indicates that Meta wants to use AI to test coding skills and generate relevant question prompts for technical interviews.

Making Hiring More Efficient and Inclusive

A Meta spokesperson confirmed the company’s efforts to incorporate AI into its hiring process, telling Business Insider, “Like many other companies, we’re using AI to make recruiting more efficient and match candidates with open roles more quickly. Humans talking to humans will always be part of the interview process, that remains unchanged.”

Indeed, Meta says the use of AI is not meant to replace human interviewers but to make their work more effective, adaptive, and fair. The internal document lists key business outcomes for the initiative, such as increasing flexibility, improving scheduling, and reducing bias in hiring.

Industry-Wide Shift

Meta is not alone in turning to AI for recruitment. Amazon, for instance, already uses AI tools to screen applicants and match them to suitable positions. However, the company has taken a hard stance against candidates who use AI tools during interviews, banning apps like coding assistants and teleprompters.

A broader industry trend is underway. According to LinkedIn’s Future of Recruiting 2025 report, 37% of companies surveyed are now either actively integrating or experimenting with AI tools in their hiring processes — up from 27% the previous year. These tools range from resume screening algorithms to chatbot-based interviewers and candidate engagement platforms.

What’s Next?

Meta’s AI-driven hiring overhaul represents a major shift in how one of the world’s most influential tech companies approaches recruitment. If successful, it could set the standard for how large organizations blend automation and human judgment in identifying top talent.

Still, the move raises important questions about privacy, fairness, and the human experience of job seekers. As AI becomes more involved in who gets hired, the tech industry — and its regulators — will need to keep a close eye on how these systems are built and deployed.

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