AI Guides › Trend Watch
By Nigel Guy · 3 min read
There's a quiet assumption that keeping up with AI news is part of being good at using AI. So you scroll, skim, bookmark and half-read, and at the end of the month you've absorbed a great many headlines and changed almost nothing about how you work. It feels productive because it's effortful. Mostly, it's a form of keeping-up theatre — the sensation of staying informed without the part where information changes anything.
The rule: a story only earns your attention if it changes something you'll actually do in the next month — everything else can wait, and most of it will turn out not to have needed you at all.
For any story, ask three questions in order. Stop at the first "no".
Three yeses: read it properly, from the source. Anything less: let it pass. If it genuinely matters, it'll still be there later — usually better understood, with the early confusion cleared up.
Keep a single "later" note. When something catches your eye and fails the filter, write one line and move on. At the end of the month, read down the list. Many lines will no longer seem important — which is the point. Anything that still does gets proper time then, on your schedule rather than the news cycle's. "The Honest Case For A Quarterly Tool Audit, Not A Weekly One" covers doing a deeper review on a sensible rhythm.
Skip daily round-up newsletters unless one is genuinely filtering for your specific work rather than summarising everything. Skip reaction content — posts about what an announcement "means" — until you know whether the thing has shipped. Skip the sense of obligation to hold an opinion on every release; not having one is allowed.