
There’s a new “everything has changed” headline most weeks now. If you run a business, you can’t read all of it, and you shouldn’t try. The skill isn’t keeping up — it’s knowing what to ignore.
Here’s the filter I use before I let any AI story take up space in my head.
Three questions for any AI headline
1. Is this a product I can use, or a paper I can’t? A lot of breathless coverage is about research demos and benchmark scores — genuinely interesting, occasionally important, but not something you can put to work this quarter. If it isn’t shipping in a tool you can actually log into, file it under “noted” and move on.
2. Does it change what’s possible, or just what’s easier? Most updates make an existing capability a bit cheaper, faster, or smoother. That’s useful, but it rarely changes your plans. Every so often something genuinely new becomes possible — that’s the headline worth a second read. Learn to feel the difference.
3. Who benefits from me believing this? A surprising amount of AI news is marketing wearing a lab coat. That doesn’t make it false, but it’s worth knowing whether the source makes money when you feel excited or afraid. Both emotions sell.
What I’d actually act on
Out of a month of headlines, maybe two or three are worth doing anything about. Usually they look like this:
- A tool you already pay for adds a feature that touches a job you already do.
- A capability you’d previously ruled out as “not reliable enough” quietly crosses the line into “good enough, with a human checking.”
- A price or access change makes something you’d shelved suddenly worth revisiting.
Notice the pattern: the useful news connects to work you’re already doing. The rest is weather. Interesting to watch, not something to reorganise your week around.
Hype asks “have you seen what AI can do now?” The better question is quieter: “does this change anything I’m actually trying to get done?” Most weeks, the honest answer is no — and that’s fine.
I’ll use this space to flag the few that pass the filter, in plain English, with what it means for an owner-led business rather than a research lab. No countdown timers, no “you’re already behind.” Just the handful that matter.
