


AdamOFK
2.2K posts

@adamofk_
16-y/o Founder @corviseai 🧑💻 Building AI to optimize landing pages 🛠️ Scaling to $10K MRR 🎯 | Love collabs 🤝 & growth 🚀 Documenting my journey ⚡️







Anthropic uses Workday. OpenAI uses Slack. It’s incredibly clear to anyone with half a brain that nobody is vibe-coding critical infrastructure. It is genuinely the lowest EV activity you can do. That bear case is dead (to I think most sensible investors). BUT, there are others. Here’s my remaining set of bear cases for SaaS, stack ranked. If you’re going to invest in SaaS you should be aware of all these and have a very strong POV on how impactful they are and the timeline on which you think they will (or won’t) play out 1. Platform differentiation trends toward zero, hurting CAC as each customer/upsell becomes a knife fight with multiple competitors. We were already trending toward every platform offering every app, AI just made it easier 2. Value will accrue to the agentic layer sitting on top of the system of record (SOR). Even with all their context, a SOR still lives in a silo 3. Investor sentiment becomes a structural headwind as revenue quality/business model is de-rated 4 . AI-native startups will deliver tremendous value at better prices, eating the incremental LTV of incumbent customers 5. As Agents do more work, seat-based revenue will decline. 6. Legacy SaaS will struggle to transition from seats to outcomes 7. Diminished pricing power due to decreased differentiation and lock-in takes away yet another growth lever 8. Gross margins will deteriorate because AI revenue is structurally more expensive which hurts the value prop of the business model 9. Decreased organic traffic due to LLM adoption increases CAC 10. Competition for scarce AI talent increases SBC/opex faster than revenue as incumbents fight to keep A talent from AI-native companies





