Some of the largest and longest institutions are going in on AI.
And is exactly my point that these comments are coming from that these companies are going in on AI when some people think its not ready yet. My point is when exactly do you define that AI is ready to be used or when should you wait. Nobody can answer that question right now and is my response to the comments we're talking from.
> The sane move in such an environment is to wait and let other people leeroy jenkins in and make mistakes, learn from their blunders, and only move once clear best practices are in place.
How we do actually know when we have reached this point, is it now? Was it 12 months ago? Will it be in 12 months time? And should you just let your competitors invest in having a go while you wait. No I don't think you can.
Not only is predictability very important for publicly listed companies if they want any investors what so ever, many organizations older than say 25 years have a near constant hangover caused by poor tech decisions they've made in the past, redundant duplicate systems due to mergers and acquisitions, half-finished attempts to migrate a COBOL system to something newer, an Oracle DB license that costs a third of the IT budget they can't migrate off. The older the org the nastier it gets.
This is why the business world not only runs on Java, but old Java, it's why AAA game studios keep rehashing the same safe bets rather than trying something different, why Hollywood has turned into an assembly line for making superhero movies, why the sky is full of airliners designed in the 1960s.