"The Bottleneck Isn't the Chips Anymore": Goldman Sachs Says These Are AI's Next Big Winners

The analysis also answered what the firm described as the “biggest question about AI,” shifting focus from semiconductor supply constraints to the next set of industries poised to benefit. The report asserted that the current bottleneck is no longer chips but other components of the AI ecosystem. Coverage of the report appeared across multiple outlets. TheStreet.com ran a piece titled “Goldman Sachs just answered the biggest question about AI,” highlighting the forecast and the shift in bottleneck. Business Insider’s article noted that Goldman Sachs believes both bullish and bearish market participants are misreading the impact of the AI capital‑expenditure surge. 24/7 Wall St. reproduced the headline “The Bottleneck Isn’t the Chips Anymore”: Goldman Sachs Says These Are AI’s Next Big Winners, emphasizing the identification of forthcoming winners.

The report itself was also posted on Goldman Sachs’ own platform, providing the primary source for the figures and commentary. The commentary arrives after several years of rapid AI adoption that have driven massive spending on compute hardware, particularly GPUs and specialized chips. Earlier market narratives centered on semiconductor shortages as the limiting factor for AI rollout. Goldman Sachs’ forecast of a trillion‑dollar investment pool signals that capital is now flowing beyond hardware into software, data services, and application layers, suggesting a maturation of the AI supply chain. The claim that both bulls and bears are wrong indicates a divergence between market expectations and the firm’s assessment of where value will be created.

Future coverage is expected to detail which sectors or companies constitute the “next big winners” identified by Goldman Sachs, as the current reports do not specify them. Analysts and investors will likely monitor subsequent releases from Goldman Sachs for sector breakdowns and will watch market reactions to the $1 trillion forecast. Tracking how the AI capex landscape evolves throughout 2026 will be essential for assessing whether the shift away from chip constraints translates into broader economic impact.