NetEase denies AI “mass layoff” rumours as profits fall and AI drives strategic shift

Rumour and response

It has been reported that NetEase (网易) planned to use AI to dismiss all outsourced staff in its games division — including claims of a 30–40% cut in April and up to 80% or total replacement in May. NetEase (网易) has explicitly denied that account, saying recent personnel changes are normal project-level adjustments and optimisation, not a company-wide purge. Reportedly circulating chat logs and third‑party media prompted the flap, but the company insists AI is being used to augment development rather than to instantly eliminate entire contractor categories. Will AI replace outsourced developers overnight? NetEase says no.

Financial and strategic context

The denial comes against a bleaker earnings backdrop. NetEase reported fourth‑quarter attributable net profit down 28.8% to RMB 62.42 billion while annual revenue for 2025 rose to RMB 1,126 billion — growth, but below some expectations. The company, founded by Ding Lei (丁磊) in 1997, remains one of China's largest game makers with long‑running IP such as Fantasy Westward Journey (梦幻西游) and Onmyoji (阴阳师). International banks including Goldman Sachs and UBS trimmed targets and earnings forecasts amid concerns about game monetisation, high marketing (user‑acquisition) costs and the uncertain near‑term impact of AI tools like Genie 3 on revenue dynamics; Morgan Stanley also noted near‑term revenue misses.

What it means for China’s tech labour market

NetEase emphasises deepening AI adoption across art, design, coding, animation and quality assurance to scale production and create AI‑native gameplay. That mirrors a broader trend: AI is reshaping the creator economy and wealth distribution in China — the 2026 Hurun list highlighted AI firms as a major source of new billionaires. But automation raises painful questions for contractors and lower‑skilled roles. Geopolitical headwinds — export controls on advanced chips and cloud infrastructure — also temper how quickly Chinese firms can scale heavy AI workloads, pushing many to focus on software efficiencies and workflow automation instead of massive, immediate headcount replacement.