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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.
In this week's episode, Harry Stebbings sits down with Jason Lemkin and Rory O'Driscoll to analyze the biggest tech news of the week. The trio dissects Navan's IPO performance, Harvey's massive $150M raise at an $8B valuation, and Sam Altman's controversial response to Brad Gerstner's funding questions. (05:27)
Jason Lemkin is a prominent venture capitalist and founder of SaaStr, one of the world's largest SaaS communities. He's an active seed-stage investor who has built and scaled multiple SaaS businesses, giving him unique operational insight into how AI is actually replacing human workers in real business environments.
Rory O'Driscoll is a Managing Director at Scale Venture Partners, where he focuses on Series A and B investments in enterprise software companies. With extensive experience in both early and growth-stage investing, he brings a seasoned perspective on market dynamics and competitive positioning in the venture landscape.
Jason Lemkin delivers a harsh but crucial reality check: companies that haven't accelerated growth through AI integration by now are fundamentally failing. (51:17) He argues that with 18 months since the AI boom began, any team that hasn't shipped AI-powered features or seen reacceleration deserves to be fired. The data supports this - companies like Twilio saw 60% growth in voice AI customers, while Mongo's AI-driven database usage helped them go from 13% to 24% growth. The takeaway is stark but clear: if you're not growing faster in 2025 because of AI, you're not just behind - you're dead in the water.
The discussion around Navan's $5B IPO reveals a sobering truth about modern venture economics. (18:18) Rory points out that what used to be considered a fantastic exit now barely moves the needle for large funds. Jason adds that for seed investors writing large checks, companies now need to demonstrate they can realistically reach $10B+ valuations to justify the risk. This isn't about being greedy - it's mathematical reality when fund sizes have grown but the number of true winners hasn't increased proportionally.
The venture landscape has fundamentally shifted regarding ownership percentages, with even premier firms like Benchmark accepting 10% stakes where they historically demanded 20%. (27:07) This compression comes from two opposite forces: capital-efficient companies that don't need to sell much equity, and capital-intensive AI companies requiring such massive funding that even large investments result in small percentages. The strategic response isn't to avoid great deals, but to recognize that traditional ownership rules no longer apply and adapt accordingly.
Despite the challenges, Jason argues this is actually the best time to be a Series A investor because the funnel has never been better. (65:20) Multiple accelerators and the explosion of AI startups mean more quality companies are reaching the Series A stage than ever before. While competition is fierce and pricing is high, the sheer volume of legitimate opportunities created by the AI transition provides more shots at goal than previous market cycles.
The most successful AI implementations aren't adding AI features to existing products - they're systematically replacing human labor with software solutions. (57:36) Jason's experience shows agents are now genuinely better than mediocre human workers, and companies that can demonstrate this replacement see explosive demand. Harvey's success in partially replacing legal associates and the insatiable demand for sales automation agents prove that the transition from human labor spend to software spend is real and accelerating.