I believe that some of the most valuable short-term use cases for AI/ML seem to be "feature, not a product" - this means that the incumbents making various products can unlock lots of competitive value by adding those features in a way that is difficult for newcomers, because they not only need to develop the AI/ML feature but also have to build a competitive solution for the core system which generates or contains the data on which the feature relies.
Like, it's plausible that many organizations would be willing to pay lots of money for a "ChatGPT which knows my internal documents" AI/ML feature for the Sharepoint/Confluence/etc they are currently using, but a would be very wary of migrating those internal documents to some upcoming startups' new document management system.
Like, it's plausible that many organizations would be willing to pay lots of money for a "ChatGPT which knows my internal documents" AI/ML feature for the Sharepoint/Confluence/etc they are currently using, but a would be very wary of migrating those internal documents to some upcoming startups' new document management system.