"Most predictions are wrong, so we should ignore them all" seems bad advice. Maybe we evaluate them, question the assumptions, check the reasoning, and validate the data rather than ignoring.
Throughout the industrial age and into the information age, most of the knowledge and skills necessary to be literate and numerate were relatively known and stable. That has changed in the last generation.
“People talk about human intelligence as the greatest adaptation in the history of the planet. It is an amazing and marvelous thing, but in evolutionary terms, it is as likely to do us in as to help us along.”― Stephen Jay Gould
I've had students tell me 15 years later, "your class prepared me for life." I have not idea if we had learning outcomes, standards. etc. identified before lessons. My guess is "no." I expect they don't care.
“I am, somehow, less interested in the weight and convolutions of Einstein’s brain than in the near certainty that people of equal talent have lived and died in cotton fields and sweatshops.” ― Stephen Jay Gould,
Let's all commit to speaking publicly only on those things about which we truly have expertise. The problem is we think our expertise is far more broad than it really is.
Exhibit #1 that AI isn't that insightful: “Technology is like a good cup of coffee: it keeps you awake, makes you jittery, and sometimes spills all over your desk!" is a quote it wrote for me.