Goldman Sachs AI chief warns against ruling out open models

Goldman Sachs is making a quiet but significant bet: the future of enterprise AI isn’t exclusively proprietary. The bank’s AI leadership has been vocal about keeping open-weight and open-source models in the mix, pushing back against the instinct to default to closed systems from the usual suspects like OpenAI and Anthropic. The case for keeping options open Goldman’s approach centers on a multi-model strategy. The bank’s GS AI Assistant, initially piloted in early 2025, doesn’t lock itself into a single provider. Instead, it incorporates open-source options alongside proprietary arrangements, routing queries to various providers including open-source models. Chinese AI firms like Moonshot, which developed the Kimi model, and Zhipu, behind the GLM series, have been releasing increasingly sophisticated open-weight models that compete credibly with their closed-source Western counterparts. Examples include the Moonshot Kimi K3 and Zhipu GLM-5.2. These Chinese developers have also pioneered an interesting middle path: “paid weights.” The core model is accessible, but certain commercial applications require licensing fees, creating a monetization pathway that doesn’t require locking ev...