The article argues that companies and individuals are losing ground by waiting for AI tools to become flawless instead of using what is already available. It explains that AI will never be perfect and that meaningful benefits come from experimenting early, learning through use, and improving processes over time. The piece highlights that real world advantages often go to those who accept limitations, build guardrails, and combine AI with human judgment rather than chasing ideal outcomes. Waiting for certainty, it warns, often results in missed opportunities and slower adaptation. Overall, the message is that progress with AI comes from action and iteration, not hesitation or perfectionism.
