Companies have a large problem of having their data tucked away or inaccessible to the stakeholders. When people talk about AI / ML what they actually need is their data cleaned to the point where they can communicate to their stakeholders. Also, all of the companies who sell AI / ML as consultants are really good already at cleaning data.

When companies actually hire data scientists what they typically do is clean data for a few months to a year . Then they interpret the data by probably being able to perform linear regression. At that point the data is in a state where it can be easily understood by those stakeholders and then they have created value. Whether or not the linear regression or whatever model has been learned may mean something. But, at the end of the day you need to tell stakeholders how they can create value and guess what SQL and Bash will do 90% of the job.