A scorecard for the AI age

Openai··Submitted by Mads Kristian Nylund
AI EconomicsAI InfrastructureAI Evaluation

The key metric for evaluating AI value is "Useful Intelligence per Dollar," which considers the full cost of achieving successful outcomes, including employee time, retries, and human review. The choice of AI model depends on economic factors such as cost, performance, and efficiency, with tiered options like GPT‑5.6 offering different levels of optimization. Dependability measures how effectively AI reduces manual work, while the economics of AI tasks determine the optimal model for a given workflow. Improved AI models, efficient inference, and better infrastructure enhance the return on compute, leading to more valuable and reliable AI solutions.

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