OpenAI Introduces Practical AI Scorecard for ROI

OpenAI CFO Sarah Friar has introduced a practical AI scorecard designed to help enterprises measure return on investment from their AI initiatives. The framework focuses on four key metrics: useful work, cost per successful task, dependability, and return on compute. This scorecard provides a structured approach for evaluating AI investments in the agentic era, where AI systems increasingly operate autonomously. By emphasizing efficiency and value, the scorecard helps businesses move beyond vague metrics and focus on tangible outcomes. Enterprises can now assess whether their AI deployments are truly delivering business value or simply consuming resources. The framework is particularly relevant for organizations transitioning from experimental AI use to production-scale deployments. OpenAI's initiative aims to bring financial rigor to AI investments, ensuring that companies can justify their spending and optimize their AI strategies for maximum impact.