AI excels at overcoming the blank-page problem and generating first drafts, but significant human effort is still required to verify outputs, catch hallucinations, and ensure quality, especially for complex or specialized work. While it can accelerate some tasks, it often introduces new costs through fact-checking, rework, accessibility issues, and subtle inaccuracies that become harder to spot as models improve. Organizations will get more value from AI by defining where it is reliable, where human review is mandatory, and where expert-led work remains the better option.