Goldman Sachs: US AI investment will pay off despite Chinese open-source competition
Goldman Sachs analyst Eric Sheridan argues that US AI investment will deliver returns, dismissing fears of a bubble. Speaking at the Asia Communacopia + Technology Conference in Hong Kong on Monday, he described a wave of demand for agentic AI as a pivotal 'inflection point' that vindicates high capital expenditure on data centers and semiconductors. Sheridan noted a 'big disconnect' between demand and compute availability, predicting the imbalance will persist until well into the second half of 2027. His remarks counter skepticism fueled by open-source AI models from Chinese companies, which some analysts say could erode margins for US providers. US AI infrastructure spending is on track to exceed US$700 billion this year.
Key facts
- Goldman Sachs analyst Eric Sheridan says US AI investment will deliver returns.
- Demand for agentic AI is a pivotal 'inflection point' that vindicates high capex.
- Sheridan spoke at Goldman Sachs' Asia Communacopia + Technology Conference in Hong Kong on Monday.
- There is a 'big disconnect' between demand and compute availability.
- The supply-demand imbalance is expected to last until well into the second half of 2027.
- US AI infrastructure spending is on track to top US$700 billion this year.
- Open-source Chinese AI models have raised concerns about margin erosion for US providers.
Entities
Institutions
- Goldman Sachs
- South China Morning Post
Locations
- Hong Kong
- China
- United States