Another AI-as-amplifier vs AI-as-substitute article.

Wondering what happens when tomorrow AI accepts and learns from the feedback and gets trained on all the failed initiative as well. It wouldn't be so hard if failed (something which wasn't right at all or hasn't got the traction) projects and ideas are all listed somewhere for an LLM to scan through. LLM may finally figure out how to add personal scars, hard decisions and personal insights which can be personalized further.

Also I don't think it might be so undesirable for an org, if there is a system which observes and present hard facts based on last quarter or year JIRA (pi planning and sprint planning) and commit histories.