Jay, this statement, with the added emphasis, is exactly the point. There is a clear, definitive, answer. AI, like every other buzzword this industry has adopted in the last 15 years needs to be defined objectively. Put 10 managers or vendors in a room and ask them to define:
- Online Reputation Management
- Digital Retailing
- Attribution
- Big Data
- CX
- Engagement Metrics
You're going to get 10 different answers. These terms have become ubiquitous, catch-all, junkdrawer terms where everyone has their own definition because the industry allowed that to happen. AI is going to be in the junkdrawer too I'm afraid. That's why dealers should question it every time they hear it and understand just how low the barrier to entry is to claim AI in the application.
Let's start figuring out what these words actually mean instead of assigning our own meanings. It'll make things easier for all of us. AI just means "simulated intelligence by a machine."
This is a great analogy. The balance bar is low and wide and you can walk across it, so now you're a gymnast. You and I meet at a corner basement bar near the gym because I'm interested in hiring you to train my kids. The first two questions I'll ask you, "what kind of gymnastics do you specialize in? How can I expect for my kid to improve from your gymnastic abilities?" I'm going to learn pretty quickly that you are just a guy in a leotard hanging around a low bar. 
Here is the point: There are a lot of companies that accurately claim they have some AI in their applications (I like Jon's descriptions by the way). The bar is super low and wide to accurately make that claim. Rather than saying "that isn't what I thought you meant by AI" we need to be prepared to ask "what subset of AI does your application employ?" The really skilled gymnasts will stand out from the rest.
