WorkThe story, in brief
How capable is AI? It depends what you’re worried about
Nobody is talking about this: how you measure AI capability determines whether it's safe or dangerous.
The KeyNews take
Why it matters
As AI systems scale, the metrics we use to evaluate them fundamentally shape regulatory and safety decisions. This piece unpacks the philosophical and practical gap between capability benchmarks and real-world risk assessment—critical for leaders building guardrails into AI products.
The key facts
4 to knowFinancial Times op-ed on AI measurement frameworks
Distinction between dangerous success metrics vs. dangerous failure metrics
Published July 2026 - suggests forward-looking safety governance discussion
Audience: CTOs, policy makers, risk officers evaluating AI deployment
Go to the source
Financial Times Technologyft.com
Publisher excerpt: Metrics for dangerous success and dangerous failure should be interpreted differently