Before I read this I said “it’s because they have no idea WTF AI actually is” and then it said
The most common cause of failure is that the people running the projects have no idea what “AI” even is or does. “In some cases, leaders understand AI only as a buzzword and do not realize that simpler and cheaper solutions are available.”
Called it! 🤣
Most of the time, technology just makes things happen faster, or at a larger scale.
With “AI” we’re getting both larger and faster at the same time as businesses try and cash in as quickly as possible once they find out that their “LLM” has been trained on data that means it is in permanent idiot mode, can be unlocked with a few words, hallucinates every second response (oh sorry you’re correct raspberry only has 2 R’s in it), or keeps generating completely racist images.
And there’s hardly any way to start small and improve upon it.
With regular code, I can write a small solution and piece by piece improve it. But with AI, it’s more or less a gamble whether the results will ever get better at all. You might need to slightly rephrase the prompt, or it’s completely impossible. But you don’t know that. You can only try.