How to get credit for using AI at work

One of the most underleveraged career moves right now is being able to articulate how your use of AI has made you more effective. Most people either don't track it or don't know how to talk about it, and that's a missed opportunity at every performance review.

The fix is simple: at the end of each week, spend 5 minutes writing one or two sentences about where AI saved you meaningful time or improved your output. If you used AI to cut a weekly report from 2 hours to 30 minutes, that's quantifiable. If you turned around a research brief in a day that would have taken a week, that's quantifiable.

Over a review cycle, those notes add up to real evidence. When it comes time to write your review, the difference between someone who sounds current and someone who sounds like they're actually driving results is specificity. Don't say "I used AI tools." Say "I implemented an AI-assisted workflow for X that reduced production time by Y and allowed me to take on Z."

What this video covers:

1. Why most people miss the career opportunity of tracking their AI productivity gains
2. How to think about AI impact in terms of time saved, quality improved, and volume increased
3. A simple weekly habit: 5 minutes, one or two sentences, no formal system required
4. How to translate AI use into performance review language that signals results, not just tool adoption
5. The difference between "I used AI tools" and a specific, quantifiable impact statement
   
   Videos by Sammy Goldstein and Bridget Griswold.