I think a lot of teams are using AI wrong before a project even starts. They ask: Which AI tool should we use? But the better question is: What should AI do, what should humans do, and what should both do together? That decision changes everything. AI is great for speed: research drafting summaries pattern finding first-pass analysis automation Humans still need to own: judgment context priorities ethical decisions tradeoffs final accountability A lot of bad AI work happens because teams never define that boundary early. So AI gets pushed into things it should not own. Humans waste time on things AI could have handled in minutes. And the final result looks polished but weak. For me, every project should start with 3 questions: What can AI do reliably here? What absolutely needs human judgment? Where does human + AI collaboration create the most leverage? That feels like the real skill now. Not just using AI. Delegating work correctly around AI. How are you thinking about this in your team or personal workflow? submitted by /u/Siditude
Originally posted by u/Siditude on r/ArtificialInteligence
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