I think this is true. The closest analogy for AI, IMO, is not intellisense or auto-complete. It is cloud (there's a case to be made for compilers too; I'll lea

I think this is true. The closest analogy for AI, IMO, is not intellisense or auto-complete. It is cloud (there's a case to be made for compilers too; I'll leave that as an exercise for the reader). Cloud, like AI: * transformed hard things that took a lot of time and expertise into simpler things (do you remember setting up database replication?) * came with a lot of hype but ultimately provided a lot of value (do you remember grid computing?) * had plenty of skeptics (see this reddit thread which has some examples[0]) * was adopted at various speeds depending on the person and company * caused security concerns[1] In the end, people found a place for cloud. It is still growing, but not everything will run on cloud. The same is true of AI. People will find a place for it. It won't do everything. But just as many sysadmins were forced to adapt to cloud, many developers will be forced to adapt to AI. 0: https://www.reddit.com/r/aws/comments/59ty7u/which_companies_have_not_adopted_aws_because_of/ https://www.reddit.com/r/aws/comments/59ty7u/which_companies... 1: https://www.sciencedirect.com/science/article/abs/pii/S1084804510001281 https://www.sciencedirect.com/science/article/abs/pii/S10848...