Unsupervised Investments (I): A Guide to AI Investors

A list of 85 funds investing in Artificial Intelligence and Machine Learning

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I. Investing in AI

Investing in AI is not an easy job: AI technologies are black boxes and unless you are able to dig into lines of code they may be inscrutable. Simply looking at proof of concepts might not be enough to really understand the underlying stack behind specific applications, and this represents a big barrier for investors to efficiently allocate their capitals.

Generalist investors found then alternative ways to discern investable companies from the pile of tech-driven companies out there. Instead of looking at the code or the algorithms, they identified proxies for AI technologies, a sort of must-have list to help them cutting out media phenomena from interesting ventures:

i) Impossible problems: if a problem was not addressable before, it is really likely that a machine learning algorithm is behind the proposed solution of that problem;