TikTok has announced that hundreds of jobs in the UK are at risk as part of a global restructuring, with plans to concentrate its trust and safety operations in fewer locations and expand the use of AI in moderating content.

The company, which employs over 2,500 people in the UK, says that under proposed plans, some roles in its trust and safety teams could be moved to other European locations or outsourced to third parties.

Figures from the company suggest that more than 85% of videos removed for violating community guidelines are now flagged by automated systems, and it is claimed that 99% of problematic content is taken down before users report it.

The Communication Workers Union has criticized the move, raising concerns about the effectiveness of AI moderation and alleging that the timing of the restructuring coincides with a planned staff vote on union recognition.

These proposals come shortly after the UK’s Online Safety Act came into force, making social media companies liable for failing to control harmful content on their platforms.

🔗 Source: Sky News

🧠 Food for thought

1️⃣ AI moderation efficiency gains drive industry-wide workforce restructuring

TikTok’s shift reflects a broader industry trend where AI systems dramatically outperform human moderators in processing speed and volume.

The company’s claim that automated tools now flag over 85% of problematic content aligns with industry research showing AI can process up to 20 times more content than human moderators2.

This efficiency gap creates compelling economic incentives for platforms to automate, especially when combined with the reported 60% reduction in graphic content exposure for remaining staff1.

The global content moderation market’s projected growth rate of 10.7% annually through 2027 suggests this automation trend will accelerate across social media platforms3.

2️⃣ Regulatory pressure accelerates automation despite implementation concerns

The timing of TikTok’s layoffs—occurring just weeks after the UK’s Online Safety Act took effect—suggests regulatory compliance costs are driving faster AI adoption.

The new law subjects platforms to significant fines for failing to remove harmful content, creating financial pressure to implement the most efficient moderation systems available1.

However, unions have raised concerns about AI systems being “hastily developed and immature,” highlighting the tension between regulatory demands for rapid content removal and the need for nuanced human judgment in complex moderation decisions1.

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