
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.
See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.

OpenAI and AWS are making Daybreak cybersecurity capabilities available through Amazon Bedrock to support enterprise security workflows.

OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.
