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Everything here comes directly from the work: what I am dealing with on the job, conversations with other executives navigating the same terrain, and what I see working and not working in the broader AI community. The problems show up across industries and company sizes but they tend to rhyme: data treated as a cost center, AI spend that does not compound, org structures that create friction before the real work even starts.
If something here connected with something you are working on, I am interested in the conversation.
I am also reachable on LinkedIn.