# The Measurement Imperative

### Understanding AI's Environmental Impact

Measuring is fundamental to understanding and managing AI's environmental impact. It clarifies how and where AI consumes resources, enabling sustainable practices.

### Driving Efficiency & Innovation

Granular data provides actionable insights to optimize AI training and inference, reduce compute waste, and foster energy-efficient algorithms and hardware. This yields not only environmental but also cost benefits.

### Ensuring Compliance & Future Readiness

Proactive measurement is vital for navigating evolving regulations, preparing for mandatory carbon accounting, and building trust through transparent environmental reporting.