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All that glitters is not gold: Angel investor Christoph Janz on finding the right opportunities in AI - The Intercom Blog
Summary
Angel investor Christoph Janz of Point Nine Capital, an early backer of Zendesk and Clio, shares his mental map for generative AI investment opportunities, describing ChatGPT’s launch as a wake-up call that surprised even AI experts. He argues that incumbents like Microsoft dominate horizontal categories such as spreadsheets through bundling and zero pricing, requiring startups to deliver a 10x better and cheaper product to win. Janz recommends targeting vertical markets like dentistry, where direct customer acquisition via industry channels reduces competition, and new categories for previously unsolvable problems, avoiding broad horizontal markets. He notes that relying on GPT-4 may force startups to accept lower gross margins or negative margins temporarily while betting on future cost reductions. For vertical SaaS, he believes persistent 30-50% year-over-year growth over 15 years can yield sizeable businesses due to direct customer access and less competition from large players.
Approach / What changed
Mental map for AI investment: avoid broad horizontal markets dominated by incumbents; target vertical markets, new categories for previously unsolvable problems, and hard tech areas.
Takeaways
Incumbents in broad horizontal markets like spreadsheets benefit from bundling and zero pricing, forcing startups to deliver a 10x better product to compete.
Vertical markets offer a direct path to customers through industry channels and can sustain 30-50% annual growth for over a decade despite smaller total addressable markets.
Startups relying on expensive models like GPT-4 may need to accept lower or negative gross margins temporarily while betting on future cost reductions.
FAQ
Why are vertical markets safer for AI startups?
Vertical markets offer a direct customer acquisition path through industry channels, less competition from large players who avoid niche use cases, and can sustain 30-50% annual growth for over a decade, as Janz notes with dentistry software.
How should startups handle the high cost of GPT-4?
Startups can accept lower gross margins or even negative margins temporarily while betting that model costs will decrease over time. Janz views this as a reasonable gamble given expected cost declines.
What types of problems are best for AI startups to solve?
Startups should target previously unsolvable problems that create new categories, and hard tech areas where use-case specificity deters competition from larger players and Y Combinator-style startups.
Source and freshness
- Source
- intercom.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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