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Thinking of the AI literacy, I think most of us can agree: every company needs an AI literacy policy right now
Why? Because AI has the potential to make work significantly faster, helping architect a "10x" future for the team's productivity.
But you can't unlock that speed safely unless your team has basic AI literacy which is " the fundamental knowledge" required to understand, use, and communicate about these tools effectively.
AI is incredibly practical for knocking out the tedious tasks that eat up our days, like conducting early research, generating outlines, and organizing data.
The secret to using it well without losing quality is the "30% Rule"
instead of letting the machine do everything, the 30% rule is a practical partnership. It means AI should handle roughly 70% of the initial grunt work, like gathering data, brainstorming ideas, and writing first drafts. From there, humans take ownership of the critical final 30%. That is when you step in to review the work done, and fact-check details applying strategic judgments.
This balance is non-negotiable. AI is fast, but it routinely makes mistakes and can confidently present false information at times or made-up facts, but the Human oversight acts as an built-in quality control to catch these errors and ensure the work is safe, accurate, and aligned with actual goals.
The companies that establish clear AI guidelines and train their teams on this 70/30 split are already building an advantage that competitors will struggle to catch up to.
#Thoughts

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