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 consumption Five Key Takeaways

1. Token consumption ≠ productivity (it's compute spend)
2. Gamification creates gaming (optimizing for wrong metrics)
3. Forced AI usage creates anxiety and resentment
4. Lines of code parallel should be a warning
5. Outcome metrics are harder but necessary
6. 
   

Companies/People Mentioned

Companies:

• Meta
• OpenAI
• NVIDIA
• Anthropic

People:

• 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, investor

Counter-argument: Important ≠ good. Lines of code was also once considered important.

Guidance for Tech Leaders

1. Resist token leaderboards and usage mandates
2. Invest in understanding which AI applications create value
3. Pay attention to worker experience and friction

The 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 outcomes
• Business value measurements
• Methodology for the "10x" claims
• Controls for comparison

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