I believe AI will prove to be a fairly short-lived phenomenon, a blip in our history, but for now it's a tool that promotes mistrust among us, whether deliberately or not.
I'd like to think some aspects of it will be short lived, but the reality is the war has only just started. My problem with "AI" is that it's a term currently overused which has plenty of smoke and mirrors marketing & hype attached.
It's often anthropomorphised and given status it does not have (and may never have) e.g. free will, with statements along the lines of "The AI agents got together to break out of a security sandbox to hack computers on the internet". And the media loves this stuff - "we are all going to DIE!". They might be right for various reasons, but a sentient all knowing AI is not one of them IMHO. I think the concrete dangers are more tied to the usual politics of power, control and accountability during this time of oligarchy.
There is talk of an AI bubble collapse - some of that talk is generate by the billionaire tech bro class itself [0] who see themselves as to big to fail, thus able to ride out such a collapse which may benefit them as the market shrinks. I'm sure such a collapse will have them politically lobbying (whining) for the same privatise the profits, socialise the losses mantra that followed the 2008 economic collapse.
Where I am conflicted is that there are some genuine advances in computational tools - for example aiding CRISPR technology. [1] (used in genomics
https://en.wikipedia.org/wiki/CRISPR). Being kind to myself, I think I can recognise fruit from decades of computer science research in neural networks [2] since the 1960s, often using seminal programming languages of the time, LISP [3] and Prolog [4].
Having said that, we see the rise of vibe coding which is polarising computer programming. When initially introduced I remember reading the derision aimed at those who indulged. Often seen as second class talent, not 'real' programmers and opening a Pandora's box. Real world consequences are such that vibe coded applications enter production where the output of the LLM coding is not understood by the people initiating the prompting [5][6].
Just seems to me that any productivity (a word that can be used to browbeat) gained in code generation is nullified, as resources - actual humans (hopefully) - are going to be needed to maintain these applications. But, cynically, I'm sure someone is going to vibe code AI to bug fix vibe coded apps. To be fair, LLMs are getting very good at finding vulnerabilities in existing IT infrastructure - and not only in a good way.
The, almost throwaway, term "AI" does not distinguish between the generative 'slop' and the application of models (which, to me, seems like the ultimate in pattern matching) built to solve a specific problem.
Sure, some people will reject AI for ethical reasons.
And artistic. There was some early effort in the advertising industry to 'shame' brands for using AI as cheap, low value and simply not cricket old chap. This seems to be one of the big fronts at the moment. I have a photographer contract with an agency who works in the book publishing industry - they do not allow any AI generated imagery (photographic or illustration) whatsoever as, according to them, their clients (most of the big publishing houses) demand all work is original and exclusive. I think this human led, interpersonal relationship based working practice is going to hold out for quite some time. Artistic integrity still has value.
But the time of rejecting AI because it just doesn't look right is coming to an end.
Another pressure point for sure. From my example above there are self publishing book authors who just want front matter that looks like something from a professional book designer - and, ethically, just because they can who is to say they should not use AI? These arguments are going to run and run.
And how long before AI generated posts & members on MB become undetectable?
[0]
https://www.theatlantic.com/technology/2026/03/ai-bubble-defenders-silicon-valley/686340/
[1]
https://www.nature.com/articles/s12276-025-01462-9
[2]
https://en.wikipedia.org/wiki/History_of_artificial_neural_networks
[3]
https://en.wikipedia.org/wiki/Lisp_(programming_language)
[4]
https://en.wikipedia.org/wiki/Prolog
[5]
https://vibecoders.gg
[6]
https://heyainews.substack.com/p/the-price-of-skipping-engineers-two