Maybe the GP has a job that means that they can't comfortably give some specifics. However, literally every GCP and AWS customer engineer that I have been on a

Maybe the GP has a job that means that they can't comfortably give some specifics. However, literally every GCP and AWS customer engineer that I have been on a call with says "you can use these models out of the box for any application and they will just work". Also, all of my competitors are saying "ML is democratized you just plug the models in, the cost of your project will be 3 engineers for eight weeks from India/Ukraine/Brazil". The problem is that this is leading to unnecessary failures of the technology both because it means that many projects that should not be attempted are being attempted and are doomed to fail, and on the other hand it means that projects that could work if done right are failing unnecessarily. This is burning investment capital and good will all over the place. In my opinion educating the market is essential : any dolt can wire together a demo that does 80% of what's needed, sales people can use that to convince the customer that the outcome will be a project that costs in at 30% of the value and delivers 110% (they are sales, so maths is not important to them) but delivering that project requires technical insight, competence, structure and professionalism. All of which are in short supply.