AI Company Rankings Reward Narrative More Than Fundamentals
Lists ranking the ‘top’ AI companies tend to reflect media visibility as much as actual business performance. Read them accordingly.
The Half-Life of a Breaking AI Story Keeps Shrinking
A breaking AI story’s window of exclusive relevance has compressed to hours. That’s changing what counts as worth publishing fast.
The Format Choice Behind Every AI Interview Shapes What Gets Said
Written Q&A, recorded audio, and live event interviews with AI leaders each produce meaningfully different answers to the same question.
The Best AI Opinion Pieces Have an Expiration Date Built In
Strong opinion writing on AI should specify what would prove it wrong, and by when. Most published opinion never does.
AI Startups Are Increasingly Built for Acquisition, Not Independence
A growing share of AI startups are structured with an eventual acquisition by a larger platform as the explicit, primary plan.
AI Technology Coverage Keeps Confusing Capability Demos With Reliability
A technology working once, in a demo, is a different claim than a technology working reliably at scale. Coverage often treats them the same.
Enterprise AI Procurement Is Shifting From IT to a Cross-Functional Committee
AI purchasing decisions increasingly involve legal, security, and business unit leaders from the start, not just IT evaluating a new tool.
The AI Business Metric Everyone Cites and Almost No One Defines the Same Way
“AI ROI” gets cited constantly in business coverage. Ask five companies how they calculate it and you’ll get five different answers.
The AI News Cycle Runs on a Predictable Weekly Rhythm Now
AI news has settled into a recognizable weekly pattern: model updates early week, funding news midweek, policy developments trailing behind.
Researcher Interviews Need a Different Kind of Preparation Than Executive Ones
Interviewing AI researchers well requires enough technical grounding to ask a real follow-up, not just enough to sound informed.