Two ways for an AI company to protect itself from competition: (a) depend not just on AI but also deep domain knowledge about a particular field, (b) have a very close relationship with the end users.
Two ways for an AI company to protect itself from competition: (a) depend not just on AI but also deep domain knowledge about a particular field, (b) have a very close relationship with the end users.
The more defensible a startup’s core offering, the less likely it is that the competition will harm it in the future.
Ali Tamaseb • Super Founders: What Data Reveals About Billion-Dollar Startups
Twitter: network effects and code product differentiation creates lasting defensibility.
Substack • Shreyas Doshi on pre-mortems, the LNO framework, the three levels of product work, why most execution problems are strategy problems, and ROI vs. opportunity cost thinking
- How valuable is what I’m doing?
- What makes this hard for others to do?
- Could this get dramatically easier because of what others launch or how the industry evolves?
- If this does get easier, do I have a “Plan B” to create differentiated value?
Note: An early version of this post appeared in my personal blog (still a work in progress). Decided to
Dharmesh Shah • How To Build a Defensible A.I. Startup
I would say having taste and leveraging AI is your ultimate defense against AI