Right now, there are too many shovels, but not enough miners. That is to say, very few concrete use cases, but a lot of tool vendors.
Most AI "deployments" I have seen, are glorified knowledge search engines, or query engines. There are some content/code assistants as well. It is also the least intrusive way to be "AI - First". There is too much noise, too little value , but yet a significant pressure to be an "AI company". Most startups are feeling this (including the one I work at).
Unfortunately, VCs are always blinded by the next cool thing to invest in. So I think of it as a marketing feature that you have to build, rather than any real roadmap thing.
Most AI "deployments" I have seen, are glorified knowledge search engines, or query engines. There are some content/code assistants as well. It is also the least intrusive way to be "AI - First". There is too much noise, too little value , but yet a significant pressure to be an "AI company". Most startups are feeling this (including the one I work at).
Unfortunately, VCs are always blinded by the next cool thing to invest in. So I think of it as a marketing feature that you have to build, rather than any real roadmap thing.