The Case for Reading AI Opinion Pieces You Already Agree With, Skeptically
Confirmation bias is easiest to catch in arguments you disagree with. It’s most dangerous in the ones you don’t question at all.
AI Startups Are Starting to Compete on Compliance, Not Just Capability
A growing set of AI startups are winning enterprise deals on compliance and security posture rather than superior model performance.
The AI Technology Debate Over Small Models Is a Business Debate in Disguise
The technical argument for smaller, specialized AI models is really an argument about who captures margin in the AI stack.
Enterprise AI Contracts Are Starting to Include Performance Clawbacks
A growing number of enterprise AI deals tie a portion of vendor payment to measured outcomes rather than paying entirely upfront.
The Two Kinds of ‘AI-First’ Companies, and Why Conflating Them Misleads Investors
Some companies were built around AI from day one. Others rebranded existing products as AI-first. The label doesn’t distinguish between them.
The AI News Story That Ages Worst Is the One Framed as Final
Coverage that presents a snapshot as a settled conclusion is the coverage most likely to look wrong within months on this beat.
What We Do When an AI Interview Subject Asks for Approval Rights
Quote approval requests are common in AI interviews. Our policy on them, and why we think it matters to disclose it.
Why We Publish AI Opinions We Think Are Wrong
Running a well-argued piece we disagree with is a deliberate editorial choice, not an oversight. Here’s the reasoning behind it.
The AI Startup Metric That Predicts Survival Better Than Growth Rate
Usage growth gets the headlines. Retention after the free trial or pilot period ends is the number that actually predicts which AI startups last.
The AI Technology Question Buyers Should Ask Before ‘What Can It Do’
Before evaluating capability, ask what happens when the vendor’s underlying model changes. Most technology evaluations skip this entirely.