Artificial Intelligence (AI) is providing enormous productivity and increased value in many applications. But AI is no panacea and is not yet sufficiently well developed to be precise or dependable everywhere. For example, much better AI training data is required to reliably estimate patent essentiality to standards such as 4G and 5G, where AI is being advocated by various experts and has already been adopted by one patent pool. There is also a lot of room for improvement in inferencing.