Aliisa Rosenthal, OpenAI’s first sales leader, has begun a new chapter in venture capital after joining Acrew Capital as a general partner, bringing with her deep insight from the frontlines of the global AI boom.

Rosenthal, who spent three years at OpenAI helping to scale its enterprise business and launch major products such as ChatGPT, DALL·E, ChatGPT Enterprise and Sora, left the company eight months ago and initially set out to meet AI founders rather than pursue investing. But a pitch from Acrew founding partner Lauren Kolodny convinced her that venture capital would allow her to influence not just one company, but an entire portfolio of emerging startups.

Speaking to TechCrunch, Rosenthal said her experience at OpenAI taught her where young AI companies can build defensible “moats” against competition from powerful model makers. While OpenAI is expanding rapidly across consumer and enterprise products, she believes the company will not dominate every possible application, leaving room for specialised startups to thrive.

A key advantage, she said, lies in “context” — the information AI systems store and use persistently as they work. Beyond today’s retrieval-based systems, Rosenthal expects innovation in context and memory to become a defining edge for enterprise AI products. “Who owns and manages this context layer will become a large advantage for AI products,” she said.

She also sees opportunities for startups building lighter, cheaper models that reduce inference costs rather than chasing benchmark leadership. Her primary focus, however, will be on the application layer — durable enterprise tools that help employees work faster and smarter.

At Acrew, Rosenthal plans to tap into OpenAI’s growing alumni network, which has already produced high-profile startups such as Anthropic and Safe Superintelligence, as well as leverage her close ties with enterprise buyers and early adopters.

With more former OpenAI executives moving into venture investing, Rosenthal’s arrival signals a growing wave of AI veterans shaping the next generation of startups — and betting that context, specialization and practical enterprise use cases will define the industry’s future.