Enterprise AI has moved past experimentation and now has to prove its return. Ed Sim, Founder and General Partner of boldstart ventures, ranked the No. 1 seed investor in the Business Insider Seed 100 two years running, sees hundreds of AI startup pitches a year, and writes the first check into companies enterprises buy from years later. He wrote the first check into Snyk and backed Protect AI, which Palo Alto Networks acquired for more than $700 million.
In this conversation, he lays out the three waves of enterprise AI adoption, why rising token costs are pushing companies toward open-weight models and their own hardware, how agent identity and access create a new attack surface, and what separates AI vendors that survive a shakeout from the ones that do not.
YOU'LL DISCOVER
✅ The three waves of enterprise AI: get AI running, get agents running, and the wave happening now, where ROI and tokenomics decide what survives
✅ Why Ed expects dozens of models inside a single enterprise, and the choice he frames as renting intelligence versus owning it
✅ How one portfolio company packaged eight GPUs, CPUs, and a model router into an appliance, routing roughly 10% of queries to the frontier labs and claiming 70% savings per year
✅ Why agents should be granted access at runtime that expires when the task ends, so a breach's blast radius stays contained to one narrow authorization
✅ Cost per outcome as the yardstick: the human doing the task, the AI doing the task, and the human assisted by AI, applied first to discrete work like coding and customer support
✅ A 57-step insurance claims process where the AI was correct 98% of the time and the humans 85%, a gap only visible because every step was recorded
✅ The real difference between open source and open weight models, and why most of Ed's startups now build on open weight models under the hood
✅ Why he argues offense is the new defense, and what the Black Hat sandbox escape means for CISOs planning autonomous defense
⏱️ TIMESTAMPS
0:00 Introduction
0:36 Three waves and the ROI test
3:06 Many models and where startups win
10:32 Who owns access, context, and evaluations
17:21 It's the people, not the architecture
20:04 Measure the outcome, then cut the cost
28:14 Buying talent and changing culture
33:05 Systems of record versus headless agents
36:31 Venture money pivots to robotics and chips
40:11 Open weights and owning your intelligence
44:44 Autonomous attacks need autonomous defense
51:32 Judging vendors and earning enterprise trust
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📝 Show notes, transcript, and summary: https://www.cxotalk.com/episode/top-vc-perspective-where-enterprise-ai-is-headed
Episode 928 | Recorded August 7, 2026
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