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Goldman Sachs: US AI investment will pay off despite Chinese open-source competition

economy-finance · 2026-05-19

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

Sources