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Timestamps are as accurate as they can be but may be slightly off. We encourage you to listen to the full context.
This episode dives deep into one of the most significant funding rounds of the year: Cursor's massive $2.3 billion raise at a $29 billion valuation. (04:48) The conversation examines the explosive growth of AI coding tools, with Harry Stebbings, Rory O'Driscoll, and Tom Tunguz analyzing whether this represents the future of software development or a dangerous market bubble. (05:30)
Harry Stebbings is the founder and host of 20VC, one of the world's leading venture capital podcasts. He's also a General Partner at 20VC, where he focuses on early-stage investments and has built a significant media platform around venture capital and startups.
Rory O'Driscoll is a Managing Director at Scale Venture Partners, where he focuses on growth-stage software investments. He recently led Scale's investment in GCAI, a legal AI company, at a $550 million post-money valuation, demonstrating his active involvement in the AI sector.
Tom Tunguz is the founder of Theory Ventures, a venture capital firm focused on AI and data infrastructure companies. Previously, he was a General Partner at Redpoint Ventures for over a decade, where he built a reputation as one of the leading investors in enterprise software and data companies.
The discussion reveals that AI coding tools like Cursor aren't just productivity boosters—they're creating entirely new markets. (07:00) With Microsoft reporting 100-150 million developers on GitHub (up from previous estimates of 25-30 million), and willingness to pay increasing from $200/month to potentially $400-500/month, the total addressable market could reach $500 billion to $1 trillion globally. This isn't just about making existing developers more productive; it's about enabling non-coders to build software, fundamentally expanding who can create technology products.
As AI models improve and approach asymptotic performance gains, switching costs and product stickiness become the primary competitive differentiators. (13:48) Tom Tunguz notes that as coding improvements plateau, users will stay with their current tools because of memory, customization, and workflow integration. Enterprise buyers will standardize on one platform with enterprise licensing agreements, making market share more durable once established. The key insight: early market leadership in AI coding tools may prove more defensible than initially expected.
While AI coding companies face margin pressure from paying high costs to model providers (who also compete with them), multiple strategies exist to improve profitability. (15:26) Companies can distill large models into smaller, more efficient versions, build their own specialized models, and benefit from rapid efficiency improvements (Microsoft reported 90% more tokens per GPU hour year-over-year). The margin challenge is real but not insurmountable, especially given the low sales and marketing costs of these self-serve tools.
A key framework emerged for evaluating high-valuation AI investments: "Entry price counts when TAM is unclear. Winning is the only thing that counts when TAM is huge." (76:16) For companies like Cursor operating in massive, rapidly expanding markets, paying premium valuations for market leaders makes sense. However, for companies in smaller or uncertain markets, valuation discipline becomes critical. This explains why investors are comfortable with Cursor at $29 billion but more cautious about other AI investments.
The venture capital industry is experiencing a fundamental shift where late-stage private investments are becoming more attractive than public markets. (59:22) With IPO costs reaching $25-30 million versus $1 million for private rounds, and private markets offering "access premium" pricing above public multiples, companies can raise unlimited capital privately. This creates a new dynamic where only less desirable companies go public, while the best companies remain private indefinitely, fundamentally changing venture capital exit strategies.