Three kinds of AI products work

To me, this classification overlooks the largest and arguably most profitable class of AI products: models that aren't the interface but are embedded deep within existing systems as infrastructure components, for example:

- Anti-fraud systems in fintech

- Supply chain optimization

- Predictive maintenance for equipment

- Models for medical image analysis

They don't have a "chat," and they aren't "agents", they are just APIs that solve one highly specialized task, but do so with extreme precision and reliability. They don't compete with ChatGPT because they solve completely different problems, and they're the ones that have been bringing in real money for years

I could be aging myself, but what about the back-office software that’s been driving business operations for at least two decades that utilize SVMs and other techniques besides the transformer architecture?? I have always felt chat bots, although the most accessible, are the worst application of AI. Why would any business WANT to put layers of abstraction (sic ai chatbots) in between them and people who are potentially interested in paying them money? The famous book series got it right: “Automate the boring stuff” best use-cases for AI are embedded deeply within operational tasks, abstracted away completely, and used in applications where limiting scope/context of information makes traditional software methods overly cumbersome or intractable.