As I’ve said before, the kind of AI that makes money is called machine learning. Pricing ads, recommending products, improving search, optimizing routing.

In general these fall into the category of things humans cannot do at the scale and speed necessary to run SaaS companies.

Many of the things LLMs attempt to do are things people already do, slowly and relatively accurately. But until hallucinations are rare, slow expensive humans will typically need to be around. The AI booster’s strategy of ignoring/minimizing hallucinations or equivocating with human fallibility doesn’t work for businesses where reliability is important.

Note that ML algorithms are highly imperfect as well. Uber’s prices aren’t optimal. Google search surfaces tons of spam. But they are better than the baseline of no service exists.