TikTok is laying off hundreds of employees from its trust and safety teams as the company shifts more of its content moderation work to artificial intelligence, continuing a broader restructuring of its global moderation operations.
The latest round of layoffs affects employees across multiple regions, including Singapore, Indonesia, other parts of Asia, and approximately 300 roles in Dublin, Ireland. TikTok said the changes are part of a reorganization designed to strengthen its global trust and safety operating model through greater use of AI-powered moderation tools.
Content moderation teams play a critical role in reviewing videos flagged for graphic violence, hate speech, child safety violations, misinformation, and other material that automated systems cannot reliably assess on their own. While TikTok already uses machine learning to detect policy violations, human moderators have traditionally handled more nuanced enforcement decisions.
The company did not disclose the total number of jobs being eliminated globally, but confirmed that affected employees are being consulted about the restructuring. TikTok also said some workers may be redeployed into new positions as it expands its use of AI technologies.
The move has sparked concern among employee representatives and online safety advocates, who argue that AI systems still struggle to accurately evaluate context, satire, harassment, and emerging forms of harmful content. Critics warn that reducing the number of experienced human reviewers could increase the risk of moderation mistakes and make it more difficult for the platform to comply with content regulations in different countries.
TikTok maintains that artificial intelligence is intended to improve efficiency rather than replace human judgment entirely. The company said it continues to invest in trust and safety technologies while adapting its moderation model to handle the platform’s growing volume of content.
The layoffs follow previous reductions in TikTok’s moderation workforce. In 2024 and 2025, the company cut hundreds of trust and safety positions as it increasingly relied on automated systems to identify policy violations before they reached human reviewers.
The latest restructuring reflects a wider trend across the technology industry, where companies are using advances in generative AI and machine learning to automate work that previously required large human moderation teams. While AI can process enormous volumes of content more quickly than people, experts continue to debate whether current systems are capable of making the complex judgments needed to enforce platform policies fairly and consistently.