The Waitlist Is Doing More Marketing Work Than Product Work
AI product waitlists create a sense of scarcity and demand that often outlasts any genuine capacity constraint behind them.
The AI Company Metric Everyone Cites That Nobody Can Actually Verify
Self-reported user counts dominate AI company coverage. Almost none of them are independently auditable, and that’s rarely mentioned.
Why We Wait an Hour on Most ‘Breaking’ AI Leaks
A leaked document or screenshot claiming to reveal an unreleased AI product is the single most common source of AI misinformation we see.
The AI Policy Distinction Between ‘Voluntary Commitment’ and Binding Rule
Many high-profile AI policy announcements are voluntary industry commitments, not enforceable law. Coverage often blurs the two.
Why AI Regulation Coverage Should Track Enforcement Budgets, Not Just Rules
A regulatory agency’s funding and staffing for AI oversight is a better predictor of real compliance risk than the rule’s text alone.
The AI Acquisition Detail That Tells You If the Product Will Survive
Whether an acquired AI company’s product roadmap gets folded into the acquirer’s or run independently predicts a lot about what happens next.
What Founders Actually Negotiate Away in a Hot AI Funding Round
A large, quickly-closed round often comes with governance and control concessions that get far less attention than the valuation headline.
The AI Partnership Term Sheet Detail That Predicts Longevity
Partnerships with a defined renewal mechanism tend to last longer than those announced without one. It’s a small detail worth checking.
Reading the Fine Print on AI Compute Deal Exclusivity
Whether an AI infrastructure deal is exclusive or one of several similar arrangements changes what the headline number actually means.
The Product Launch Detail That Predicts Whether a Feature Survives
Whether a new AI feature ships as opt-in or default-on says more about its long-term survival than the launch announcement’s tone.