Discover/The Twenty Minute VC (20VC)The Twenty Minute VC (20VC)/20VC: SaaS is Dead: Why Systems of Recor...

The death of proprietary data moats is coming next

The Twenty Minute VC (20VC)The Twenty Minute VC (20VC) · 20VC: SaaS is Dead: Why Systems of Record Will Die in an...

“So the key thing right now is so far, the only thing that's gone down to or not to zero yet, but become extremely much cheaper is the generation of software.”

4:58 / 5:36

I was a 100% convicted about this already when I saw this one or two years ago. So I've been that's been very clear to me. If the cost of software creation is going down, how do we determine which businesses have sustaining value versus which do not? So the key thing right now is so far, the only thing that's gone down to or not to zero yet, but become extremely much cheaper is the generation of software. The next thing that's going to hit everyone bad is the switching cost of data. Because so far, what you're seeing is you have proprietary data stuck in, for example, the CRM vendor

About this clip

Sebastian Siemiatkowski explains why falling software creation costs are just the beginning. He argues that data switching costs - currently protecting companies like CRM vendors through proprietary data lock-in - will be the next major business moat to collapse.

Why this clip

Provides a concrete prediction about which business advantages will disappear next in the AI-driven future, offering actionable insight for investors and founders.

4:58 - 5:3637sprediction
data-moatsswitching-costssoftware-economics

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What they said next

Why build software when AI agents can connect everything for you?

12:45 - 41s · prediction

More from this episode

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prediction

Why build software when AI agents can connect everything for you?

Sebastian questions whether companies should build integrated software solutions when AI agents will soon move data between products seamlessly. He explores the 'company in a box' model and expresses skepticism about the overcrowded customer support AI space with 14 companies raising $100M+ recently.

12:45 - 13:2541s
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tactical advice

VCs investing in AI without coding themselves are making a critical mistake

Sebastian Siemiatkowski argues that VCs investing in AI need hands-on experience building with AI coding tools like Cursor and Lovable. He suggests that investors who haven't actually downloaded and tried building something themselves lack the fundamental understanding needed to evaluate AI investments properly.

51:55 - 52:2126s
ai-investingvc-diligencecoding-tools

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prediction

Building a 'company in a box' with AI agents handling accounting and CRM

Sebastian describes his weekend experiment creating a 'company in a box' system that uses Claude AI agents to manage open source accounting and CRM software. He demonstrates how AI can automate basic business functions like bookkeeping invoices and setting up customer accounts, suggesting a future where companies rely less on traditional SaaS tools.

9:07 - 10:0053s
ai-agentsautomationsaas-disruption

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founder story

American VCs forced European startup to move to Silicon Valley - it was a disaster

Sebastian Siemiatkowski shares the cautionary tale of Truecaller, whose American VCs pressured them to relocate their engineering team from Europe to Silicon Valley. The move backfired spectacularly - they struggled to recruit, lost a year of traction, and were eventually downgraded by the same VCs who pushed for the relocation.

50:38 - 51:3254s
silicon-valleyeuropean-startupsvc-advice

The Twenty Minute VC (20VC)The Twenty Minute VC (20VC)

Business Mechanics

AI is allowing us to reinvent the wheel all the time. If you come in and say, I want to write this piece of code, somebody else prompted the same AI, the exact same thing somewhere else. We're still using tons of server power to generate the exact same code.

Identifies an inefficiency in current AI usage that most people haven't considered. The 'reinvent the wheel' metaphor is accessible and the waste angle creates urgency around optimization.

8:04 - 8:2723s

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