Most people have a folder they are a little ashamed of. Maybe it lives on the desktop. Maybe it is a downloads pile that has been growing since 2019. Maybe it is a Google Drive that started clean and now contains six files called “final.”
You know the one.
That mess matters more once you ask AI to do real work. Give an assistant three versions of the same résumé and it has to guess which one reflects your life now. Give it old notes and it will carry old decisions into a new answer. Give it a folder of household records with vague filenames and it cannot know which document you trust.
A more capable model may produce a smoother answer. The stale material still shapes the result.
OpenAI published an enterprise-usage analysis in May 2026. Firms at the 95th percentile of AI use generated 3.5 times as many tokens per worker as the median firm, up from 2 times a year earlier. Message volume explained 36% of the gap. OpenAI associated the rest with deeper use, richer context, and more substantive outputs.
Those numbers need care. Tokens are an imperfect stand-in for value, which OpenAI says directly. The analysis is vendor-authored and observational, so it cannot prove that richer context caused better business outcomes.
Still, the pattern offers a useful everyday lesson. AI becomes more useful when the material around the task is current, specific, and organized. That applies to résumés, lease paperwork, research notes, business plans, family records, and writing projects.
Privacy matters too. Organizing a file does not make it safe to upload. Sensitive health, legal, financial, identity, or family material deserves a separate decision about where it may go and who may see it.
Try this with one task. Pick one folder you regularly use. Move stale duplicates into an archive. Give the trusted file a specific name and date. Write one sentence explaining what the current version is for. Then decide which parts an AI may see. Keep the final call about what is accurate and safe with you.
The tool will keep changing. A clean source of truth gives you something solid to bring to it.
Public source
OpenAI, “B2B Signals,” May 6, 2026. Vendor-authored, de-identified aggregated enterprise usage analysis; observational rather than causal.