KPIs are Dead: The New Metric AI Companies are Using Instead in 2026

Meta has built internal leaderboards where 85,000 employees compete for the highest AI token consumptionFive Key TakeawaysToken consumption ≠ productivity (it's compute spend)Gamification creates gaming (optimizing for wrong metrics)Forced AI usage creates anxiety and resentmentLines of code parallel should be a warningOutcome metrics are harder but necessaryCompanies/People MentionedCompanies:MetaOpenAINVIDIAAnthropicPeople:Jensen Huang (NVIDIA CEO)Andrew Bosworth (Meta CTO)Adam Silverman (Silicon Valley investor)Key Quote"I think a future metric is going to be tokens per employee, and it's going to be one of the most important metrics going forward." — Adam Silverman, investorCounter-argument: Important ≠ good. Lines of code was also once considered important.Guidance for Tech LeadersResist token leaderboards and usage mandatesInvest in understanding which AI applications create valuePay attention to worker experience and frictionThe Core Critique"Measuring token consumption as a proxy for productivity is like judging a truck driver by how much gas they burn — it tells you the engine is running, but not whether any freight is actually getting delivered."What's missing:Correlation between consumption and outcomesBusiness value measurementsMethodology for the "10x" claimsControls for comparison Hosted on Acast. See acast.com/privacy for more information.