AI Regulation Coverage Keeps Confusing Proposed Rules With Binding Law
A proposed rule, a draft framework, and an enforceable regulation are very different things. Coverage should be clearer about which is which.
The Quiet Pattern Behind Big Tech’s AI Acquisitions
Large companies aren’t just buying AI startups for their products. Increasingly, they’re buying them for the team and shutting the product down.
AI Funding Rounds Are Getting Bigger and Harder to Compare
Round sizes have grown so large, and structures so varied, that comparing AI funding announcements requires more context than a headline gives.
AI Partnerships Are Easy to Announce and Hard to Verify
A partnership announcement is a press release, not evidence of integration. Here’s how to tell the difference.
Reading AI Deal Terms When the Headline Number Isn’t the Whole Story
Deal headlines report a single dollar figure. The terms behind that figure often tell a very different story about who actually benefited.
Most AI Product Launches Are Announcements, Not Availability
There’s a growing gap between when an AI feature is announced and when it’s actually usable. Coverage should track both dates.
What to Actually Look For When an AI Company Profile Crosses Your Desk
Company profiles in AI coverage often read like pitch decks. Here’s what separates a useful profile from a rewritten press release.
How to Tell Breaking AI News From Breaking AI Hype
Not every fast-moving AI story deserves the ‘breaking’ label. Here’s a practical filter for separating real developments from manufactured urgency.
What Makes an AI Executive Interview Actually Useful
Most AI leadership interviews recycle the same talking points. The useful ones ask what specifically went wrong before asking what went right.
Why AI Opinion Writing Needs More Disagreement, Not Less
Too much AI commentary converges on the same few positions. The most useful opinion writing right now is the writing that pushes back.