In my opinion, it's because business operations isn't that complicated and people don't know what AI is.
By "not that complicated", I mean a decent CRM system to track information about the organization is approaching peak operational efficiency for most businesses. Most inefficiency I see after that is people/political problems.
By "people don't know what AI is", I mean that business owners are unable to describe their business problem as a supervised learning problem. If you can formulate your business problem as a supervised learning problem, then you can probably solve it with AI (which, yes, is really just a marketing term for supervised ML).
But most business problems are really "order taking" or "production/delivery" or "moving things through a funnel" problems and thus AI isn't the solution, CRM or CRUD apps are the solution.
"AI is a 'brain' that you plop down in the organization and it does 'unsupervised learning' to automate your business and delight your clients with optimized outcomes." - As explained to me
I now see Google sales dragging these people out to 'AI meetings', which are about Dialog Flow. (Meeting pitch email gets around, business manager reply all: 'WTF is this?') Later they summarized the meeting, as they understood it: "You just need to drag and drop the CRM on the 'Brain' and then you can book haircut appointments and open a bank account. We were like um, we develop and support software, they were like - just drag and drop you knowledge management API on it too." Uh... what KM system?
The complicated part is that in small and midmarket business, their knowledge is tribal and processes are folklore. There are processes that are followed though they don't exist, and business rules violated as they aren't aware.
Meanwhile, no one in sales puts useful information in a CRM system if they can avoid it, the least effort principle on administrivia is important if you are ever going to hit your ever growing number.
Finally, the management must still be spooging for SPOGs, I sill see marketing for them as some sort of nirvana. Meanwhile, they have been collecting data randomly about everything, all over the place, excel documents, FTP servers, and of course databases. Here, no one in IS/IT will admit: The servers were here when they started their job and they have no idea what is on them or if they are even needed anymore. They certainly aren't mentioning that to the incoming CIO, who gets focused on improving efficiency as per his executive mandate. So he/she gets to work with cloud migrations (more hilarity ensues)
By "not that complicated", I mean a decent CRM system to track information about the organization is approaching peak operational efficiency for most businesses. Most inefficiency I see after that is people/political problems.
By "people don't know what AI is", I mean that business owners are unable to describe their business problem as a supervised learning problem. If you can formulate your business problem as a supervised learning problem, then you can probably solve it with AI (which, yes, is really just a marketing term for supervised ML).
But most business problems are really "order taking" or "production/delivery" or "moving things through a funnel" problems and thus AI isn't the solution, CRM or CRUD apps are the solution.