OpenAI's Chief Revenue Officer Granted Significant New Powers, Leads Salesforce Legion to Confront Anthropic

According to Dynamic Beating monitoring, OpenAI's Chief Revenue Officer Denise Dresser, who joined the company last December, has been driving enterprise-level commercialization expansion with a strong posture over the past six months. She has now taken over the partner and ad negotiation business previously led by former COO Brad Lightcap. In external competition, rival Anthropic completed a new financing round on Thursday with a valuation of $900 billion, surpassing OpenAI's current $730 billion valuation for the first time, intensifying the battle between the two large-scale model giants in the enterprise market.

To accelerate capturing enterprise budgets, Dresser is rapidly building a large "Salesforce and Slack Force" within OpenAI. Former Slack CCO Peter Doolan joined in April as Global Head of AI Transformation, and former ServiceNow CMO and Salesforce SVP Colin Fleming also joined this month as Chief Commercial Officer. In addition, the team has brought in at least six senior sales and channel executives, including former Google Channel VP Colleen Kapase. Under Dresser's leadership, OpenAI successfully streamlined the chaotic joint sales process with Databricks and this year secured partnerships with benchmark clients such as the car rental giant Hertz and consulting giant KPMG.

The showdown between the two large model vendors is not only a valuation duel but also a brawl of business models and infrastructure. Financial forecasts indicate that OpenAI expects to increase its proportion of enterprise revenue from 40% at the beginning of the year to 50% by the end of 2026. In contrast, Anthropic earns over 80% of its revenue from enterprise customers, achieving high enterprise loyalty through key optimizations for commercial scenarios such as database connections and long-text parsing. In an internal memo, Dresser launched a fierce attack on the competitor, accusing Anthropic of limiting compute purchases as a "strategic mistake" leading to frequent API rate limits and stability issues, and criticizing their marketing narrative as "built on fear and constraints."