AI is now a perennial headline in the news cycle – primarily as it’s gone over the top of the ‘Peak of Inflated Expectation’ on the Gartner Hype Curve [see 1st diagram] – moving past ‘Mass media hype begins’ and now is well into ‘Negative press begins’ period. I suspect it’s a misunderstanding of a complex, layered subject that’s been around since 

McCarthy (he of the 4Ps) wrote his 1955 paper on it. 

We've all be using it very successfully for a decade or so in MLOps [see Data Science/Machine Learning in 2nd diagram] that is using 19thC maths better, faster – but it needs access to proprietary ‘rear view mirror’ datasets. The newest types are currently well hyped niches - ChatGPT can't do maths or infill missing data so it sometimes invents ‘facts.' It guesses to much to in an attempt to mask it's failings.

This and Art AI are drowning in IP legal questions. But they will evolve and are currently finding a use in cheap visual creation or bots confined to curated data boxes. You must see how terrible the pictures that this IONOS AI offering creates!

Hands up anyone who want to be represented at a meeting by a bot (Microsoft 365 Copilot)? Remember AI is not a Strategy or a Tactic but could be a very powerful hammer in your toolbox... in the right hands who can bridge commercial needs of combining math and humanistics.

"Humans are unbelievably data efficient. You don't have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles" - Jeff Bezos

Humans won't be replaced by AI, but those humans who know how to best use AI or MLOps to enhance their productivity are very valuable.  Relying on AI to do it all at the touch of a button is laughable.