OpenAI aims to make AI more accessible, capable, and affordable. While token prices have decreased significantly, leaders should focus on useful work per dollar: tasks completed, time saved, and decisions improved. As teams move to longer-running workflows, admins need better visibility into AI demand, spend, and risk.

To invest with confidence, leaders should sharpen visibility into usage and spend, evaluating models by outcome ROI rather than just token price. Governing advanced workflows before they scale is crucial, defining context, tools, and actions. Funding should prioritize workflows that can compound, with shared capabilities funded centrally. Finally, matching AI capacity to proven demand ensures efficient scaling of valuable applications.

Key strategies include enhanced admin console analytics for usage, spend, and trends; evaluating model efficiency based on task completion and full cost; implementing governance for scalable AI work with controls for access and risk; investing in compounding workflows with clear ownership and measurable value; and aligning AI capacity with validated demand for proven applications.