After Yao Xingcheng: The Middle Tier of AI Talent Begins to Lose Value
Bubble signal: 0 · NeutralRelevance 34OtherChina
Source: TMTPost · Published 2026-09-19
Summary
A TMTPost article argues that the AI talent market is polarizing: demand is strong at the very top and at the entry level, while mid-tier AI workers are losing scarcity and bargaining power. Using cases such as Yao Xingcheng as a starting point, it discusses shifting hiring and pay expectations across the AI industry.
Bubble analysis
This item is about pay and hiring structure in the AI labour market, which is only indirectly tied to whether AI investment is a bubble. Falling value for mid-tier talent could hint that companies are tightening costs and slowing expansion, but with no capex, funding or valuation figures it is weak evidence at best.
#china#hiring#talent
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