Goldman Sachs' latest "Exchanges" series provides a high-level strategic overview of the artificial intelligence landscape as we move into 2026. David Solomon, Chairman and CEO of Goldman Sachs, emphasizes that AI is no longer just a buzzword but a core driver of deal-making (M&A) and market efficiency.

The discussion delves into the critical question of whether the massive capital expenditure in AI infrastructure and inference—the process where a trained model generates outputs from new data—indicates a speculative bubble. While some analysts draw parallels to the dot-com era, the firm's consensus leans toward the idea that foundational productivity gains are real. They argue that the integration of large-scale automation is fundamentally altering how assets are valued across global sectors.

Furthermore, the series examines the geopolitical dimensions of technology, specifically the ongoing competition between the US and China. This race for dominance in semiconductor supply chains is reshaping regional investment strategies. Investors are increasingly looking for "alpha" by identifying the next winners in the AI stack beyond the primary chip manufacturers, focusing on companies that successfully implement Agentic AI to automate complex business workflows.

Goldman Sachs' latest "Exchanges" series provides a high-level strategic overview of the artificial intelligence landscape as we move into 2026. David Solomon, Chairman and CEO of Goldman Sachs, emphasizes that AI is no longer just a buzzword but a core driver of deal-making (M&A) and market efficiency.

The discussion delves into the critical question of whether the massive capital expenditure in AI infrastructure and inference—the process where a trained model generates outputs from new data—indicates a speculative bubble. While some analysts draw parallels to the dot-com era, the firm's consensus leans toward the idea that foundational productivity gains are real. They argue that the integration of large-scale automation is fundamentally altering how assets are valued across global sectors.

Furthermore, the series examines the geopolitical dimensions of technology, specifically the ongoing competition between the US and China. This race for dominance in semiconductor supply chains is reshaping regional investment strategies. Investors are increasingly looking for "alpha" by identifying the next winners in the AI stack beyond the primary chip manufacturers, focusing on companies that successfully implement Agentic AI to automate complex business workflows.