A senior researcher from China’s DeepSeek has issued a stark warning about artificial intelligence’s long-term threat to humanity, despite acknowledging its short-term benefits. Chen Deli expressed concerns that AI could trigger massive job losses and fundamental societal challenges within the coming decades.
Key Takeaways
- DeepSeek researcher warns AI poses long-term threat despite short-term benefits
- Massive job losses predicted within 5-10 years as AI replaces human roles
- DeepSeek’s low-cost R1 model caused significant US tech stock losses
- Company spent only $294,000 to train model versus competitors’ $100M+
‘Positive About Technology, Negative About Its Impact’
Chen Deli made these remarks during DeepSeek’s first major public appearance in nearly a year at the World Internet Conference in Wuzhen. He appeared alongside executives from five other prominent AI companies, collectively known as China’s “six little dragons.”
When discussing DeepSeek’s global success and open-source AI progress, Chen acknowledged the technology’s immediate benefits but expressed deep pessimism about its future societal impact.
AI’s Threat to Employment and Society
Chen predicted that AI could cause massive job losses within the next 5 to 10 years as models become capable of taking over human roles. He warned of even broader challenges in the coming decades.
“In the next 10-20 years, AI could take over the rest of work (humans perform) and society could face a massive challenge, so at the time tech companies need to take the role of ‘defender’,” he said.
He emphasized his contradictory stance: “I’m extremely positive about the technology but I view the impact it could have on society negatively.” Chen stressed that AI companies must recognize these potential risks and prepare accordingly.
DeepSeek’s Disruptive Rise
DeepSeek initially captured global attention in January by releasing its low-cost R1 model, which notably outperformed several leading US models in various benchmarks. The announcement had dramatic financial consequences.
US stock markets suffered significant losses, with estimates suggesting approximately $1 trillion was wiped out from US tech stocks. Nvidia alone lost nearly $600 billion in market capitalization, while the world’s 500 wealthiest individuals lost a combined $108 billion.
The company disclosed in a Nature journal article that it spent only $294,000 to train the R1 model. This stands in sharp contrast to US competitors like OpenAI, where CEO Sam Altman stated in 2023 that “foundational model training” cost “much more” than $100 million.
