It is not a far leap to predict that soon enough, to borrow the phrase, all companies will be AI companies.
But many investors have gotten lost in the hype. They may place bets on the 2000-style pets.com company (which ended in an IPO to liquidation in <1 year), thinking they are a 2019 chewy.com or better.
Just like with the early internet, diligence will be much harder for investors without meaningful AI expertise and who do not surround themselves with advisors with meaningful AI experience. (If you need help, let's talk.)
But even with the best legal and technology advisors, investors must still remember to approach AI investments with the same sound business diligence practices they would any other investment. Key business questions raised in evaluating AI investments include those tried and true: market opportunity, product-market fit, moat/defensibility and go-to-market execution strategy.
/Passle/6488db705f4287c6f3e7c2d7/SearchServiceImages/2024-12-03-18-09-43-138-674f4967e849f6c181f547ca.jpg)
/Passle/6488db705f4287c6f3e7c2d7/MediaLibrary/Images/2024-09-03-21-33-34-742-66d780aecf1b6412822c9ff8.png)
/Passle/6488db705f4287c6f3e7c2d7/SearchServiceImages/2024-11-18-22-24-50-126-673bbeb225126ee9da08a4b0.jpg)