Morgan Stanley’s research note observed AI is decoupling headcount growth from revenue growth, with companies like Snowflake reporting productivity improvements without proportional staff increases. Analysts identified three job areas where AI is driving demand, underscoring a shift in how tech firms scale operations.

The AI infrastructure buildout requires electricians, electrical engineers, and construction workers, but shortages of thousands of skilled-trade workers threaten to slow data-center expansion. Industry leaders warn this human capital gap could constrain capacity in key regions like Texas, where major hyperscale deployments are underway.

Snowflake relies on expanded data-center capacity to support its AI-driven services and maintain performance. Persistent skilled-labor shortages could delay new deployments, raise operational costs and potentially limit the company’s ability to meet growing enterprise demand for its platform.