Where AI Genuinely Helps Today
The clearest wins so far are in tasks that are repetitive and scale-sensitive: drafting first-pass copy, summarizing long research or customer feedback, and finding patterns across data sets too large to review manually. These are genuinely useful because they save time on work a person would otherwise still have to do, just slower.
Where It's Still Mostly Narrative
AI is weaker, at least for now, at fully autonomous strategy or creative judgment — deciding what a business should actually say, to whom, and why, without a person reviewing the reasoning. Output that sounds confident isn't the same as output that's correct or on-strategy, and treating it as a finished decision rather than a draft is where things tend to go wrong.
Draft, Then Review
The most reliable pattern is using AI to produce a strong first pass or to surface something a person would have missed, then having a person responsible for the actual decision review it before it goes out. That's a fairly unglamorous way to describe it, but it's the version that tends to hold up in practice rather than in a product demo.