8 posts.
Google mapped 14.7 million AI conversations to real occupations. AI showed up in 68% of them — but in the median job, it touched just 21% of the tasks. Here's what that gap actually means for your week.
40% of workers got hit with 'workslop' last month — AI output that looks finished but isn't. Each piece took nearly two hours to clean up. Here's how not to be the person sending it.
Roughly half of employees use AI tools their employer never sanctioned — and most of it is harmless. A plain-English guide to the line between 'fine' and 'you just leaked something,' and how to stay on the right side of it.
AI at work isn't only a tool you use. Increasingly it's a lens your employer points at you — scoring productivity, ranking performance, even helping decide layoffs. A plain-English look at what's real and what to do about it.
The report AI helped analyze, the email it drafted, the message it reworded — when does honesty require you to say so, and when is it just using a tool? A practical test.
What can AI agents do? In plain English: carry out multi-step tasks across your apps instead of just answering questions. Here's what that covers today, what it still can't do, and how to start.
Most AI users fear falling behind if they don't keep up, and new grads worry AI will swallow entry-level jobs — yet most active users say they're producing work they couldn't have a year ago. Making sense of the contradiction.
Clever prompts get all the attention, but the thing that actually separates people who get real value from AI is much simpler — and much more teachable.