The AI Regulation That Applies Retroactively, and Why That’s Unusual
Most regulation applies going forward. A subset of AI rules reach back to systems already deployed, creating a distinct compliance…
Most regulation applies going forward. A subset of AI rules reach back to systems already deployed, creating a distinct compliance…
Antitrust considerations increasingly shape AI acquisition structure long before a deal becomes public, and that shaping is rarely visible in…
Timing a funding announcement just ahead of a major product release is common enough to be a recognizable pattern worth…
A pattern of re-announcing an existing partnership with new framing is common enough to have its own tell: watch the…
In multi-party AI deals, tracing who is actually providing capital versus who is merely a named partner changes the story…
AI product waitlists create a sense of scarcity and demand that often outlasts any genuine capacity constraint behind them.
Self-reported user counts dominate AI company coverage. Almost none of them are independently auditable, and that's rarely mentioned.
A leaked document or screenshot claiming to reveal an unreleased AI product is the single most common source of AI…
Many high-profile AI policy announcements are voluntary industry commitments, not enforceable law. Coverage often blurs the two.
A regulatory agency's funding and staffing for AI oversight is a better predictor of real compliance risk than the rule's…