1) We might be at the point where pitching/highlighting AI-ness of a startup does not make much sense
. Partially, because it was compromised
by false claims. Another reason is that differentiation based on value of a product, rather than its technology may be a better selling strategy;
2) Fundraising for an AI startup may become harder, as investors have already made their bets. Now they double downon them and cautiously invest in new ones;
3) AI, as other technologies, creates new problems, not only solve them. Therefore, spotting these problems early on may point to new market opportunities;
4) Cognitive tech stack is a good example, when one wave of tech generates demand for supporting technologies, that help to solve challenges associated with the first wave;
5) Vertical integration appears to be popular among AI startups, therefore when founding a company, entrepreneurs should be prepared to go outside of their comfort zone. The team will likely engage not only in research and software development, but in hardware engineering and large operation activities, e.g. managing a group of call center operators.