Snowflake adds cost control feature to Cortex AI Gateway
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The vendor's model routing automatically picks models based on quality and cost for the selected task, as executive concerns about the price of AI grow. Snowflake's cost-control feature marks the latest vendor move to address executive concerns about AI spend. Roughly three-fifths of IT professionals believe AI overspend has increased, despite token costs coming down, according to a Flexera study. Token costs might be dropping, but advances such as agentic AI demand significantly more tokens than generative AI. Gartner estimates that global token consumption will reach about 300 trillion tokens per day by the end of 2026. As token usage rises, so do executives' worry about the costs. The Linux Foundation launched the Tokenomics Foundation earlier this year to unite enterprises, hyperscalers and frontier model developers on developing frameworks and best practices to manage AI use at scale. Vendors are responding to executive concerns about AI costs. Oracle rolled out token bundles for agentic AI in June. Meanwhile, AWS announced a public preview of its AWS FinOps agent to investigate cost anomalies. The dynamic model routing offered by Snowflake aligns with vendor momentum across enterprise AI cost management. The capability is designed to help enterprises use expensive frontier models only when they improve outcomes across Snowflake's AI products, according to the press...
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