50% of jobs at risk as AI 'optimisation' shakes China's tech startups
Key Takeaways
- Chinese tech workers fear AI-driven 'optimisation' will replace their roles, with Meituan rumored to cut half its product jobs.
- For startups, this trend signals both cost-cutting opportunities and talent market upheaval as founders must balance efficiency with workforce stability.
Mentioned
Key Intelligence
Key Facts
- 1Meituan rumored to cut up to 50% of product roles by end of June 2026, though the company quickly denied the claims.
- 2Anthropic CEO Dario Amodei warned in 2025 that AI could wipe out 50% of all entry-level white-collar jobs within five years.
- 3Over 80% of code merged at Anthropic is now AI-generated, signaling rapid adoption of autonomous AI agents in software development.
- 4Chinese tech firms including Baidu and Xiaomi are quietly trimming teams under the euphemism "youhua" (optimisation), according to internal sources and tech recruiters.
- 5AI agents have evolved beyond chatbots to perform complex tasks: writing code, conducting market research, analyzing legal documents, and executing multi-step business processes.
- 6Tech workers across China express deep anxiety about being replaced by AI, not just traditional restructuring, with one Meituan employee saying: "I don’t know whether it will be me next."
Anthropic CEO Dario Amodei's 2025 warning
Who's Affected
Analysis
For startup founders, the AI 'optimisation' wave in China represents a double-edged sword. While AI agents promise to slash operational costs and accelerate product development, they also threaten to hollow out the entry-level talent pipeline that many startups rely on. As firms like Meituan, Baidu, and Xiaomi quietly trim teams, the venture capital community must grapple with a new reality: investing in AI-native efficiency may come at the expense of human capital—and customer loyalty.
The key development: viral chat screenshots on Chinese social media in late May 2026 claimed that food delivery giant Meituan planned to slash up to half of its product roles by the end of June, alongside deep cuts in other departments. Though Meituan quickly denied the rumors, the speculation exposed a raw nerve across China’s tech industry. Employees at Meituan and beyond described a pervasive climate of anxiety, with one worker responding to a concerned friend: “I don’t know whether it will be me next.” Behind the headlines, a stealthier layoff wave—euphemistically called “youhua” (optimisation)—has been unfolding for months, driven not just by cost-cutting but by the encroachment of artificial intelligence.
As firms like Meituan, Baidu, and Xiaomi quietly trim teams, the venture capital community must grapple with a new reality: investing in AI-native efficiency may come at the expense of human capital—and customer loyalty.
Context: Chinese tech firms have long used “organisational restructuring” to mask workforce reductions, but AI now adds a chilling dimension. The term youhua now implies that a job can be automated. Sources and recruiters confirm that Baidu, Xiaomi, and other giants are quietly trimming teams. Globally, Anthropic CEO Dario Amodei warned last year that AI could eliminate half of all entry-level white-collar jobs within five years, and the technology has since vaulted from chatbots to autonomous “AI agents” that can write code, conduct market research, and handle legal documents. Anthropic itself reported that as of last month, over 80% of its code was AI-generated.
What to Watch
Implications: For workers, the psychological toll is severe—constant fear of being rendered obsolete overnight. The shift may accelerate a brain drain as experienced talent flees to more AI-resistant sectors or abroad. For companies, short-term efficiency gains could mask long-term risks: erosion of institutional knowledge, reduced innovation from diverse human input, and potential regulatory backlash as unemployment spikes. Meituan’s denial suggests companies are wary of public blowback, but behind closed doors, AI-driven “optimisation” is likely accelerating. The trend also affects the broader startup ecosystem: early-stage companies may struggle to attract talent if the industry is seen as unstable, while AI-first startups could thrive by selling automation tools to enterprises seeking to downsize.
Forward-looking: As AI agents continue to improve, the line between augmenting and replacing human workers will blur further. Companies will need to navigate pressure to boost margins through AI while managing social responsibility and maintaining a motivated workforce. For investors, the “optimisation” trend may boost short-term profitability but raises questions about long-term sustainability of consumer-driven markets if widespread job losses dampen spending power. Regulators in China may eventually step in, but for now, the AI race leaves workers in a precarious limbo.
From the Network
How we covered this story
Every story in our startup coverage is assembled from multiple primary sources, cross-referenced for factual consistency, and scored along three independent dimensions: sentiment, operational impact, and source-cluster confidence. Single-source rumors and unverifiable claims do not pass our editorial gate. When a story shows "Verified by N sources" with N≥2, the development is independently corroborated; when N=1, we mark it explicitly so readers can weigh the signal accordingly.
Impact scoring uses a 1-10 scale weighted toward regulatory, financial, and operational consequence rather than coverage volume. A topic that runs in every outlet but moves no real decisions ranks lower than a niche regulatory filing that reshapes how operators in the startup space have to behave. Read our full methodology for the scoring rubric, our glossary for term definitions, and our trends index for the longitudinal view across the beat.
| Signal on this page | What it tells you |
|---|---|
| Verified by N sources | Independent corroboration count. N≥2 is our confidence floor; N=1 is marked explicitly. |
| Impact score (1-10) | Regulatory + financial + operational weight. 8+ signals an experienced-operator action item. |
| Sentiment | Five-tier classification trained on labeled startup-specific corpora. |
| Timeline | Where applicable, the related-events sequence that contextualizes today's development. |