OpenAI GPT 6.1 Sol

Write a briefing for a non-technical executive explaining why their company's spending on AI is hard to predict, and what they can do about it. Cover at least three distinct causes. Plain prose only — no headings, bullet points, or markdown formatting. Write exactly 205 words.

AI spending is hard to predict because costs depend on how people use the technology, not simply how many employees have access. A popular assistant can generate thousands of requests, while longer conversations, larger documents, and repeated attempts consume more computing resources. Growth in usage can therefore outpace expectations even when subscription prices remain unchanged. A second cause is changing technology and pricing. Companies may switch models to improve quality, add premium features, or need more expensive tools for sensitive work. Supplier discounts can expire, and promised savings may not materialize. Third, the visible software bill is only part of the expense. Preparing data, connecting systems, reviewing outputs, training staff, and meeting security requirements create additional costs. Unreliable results can also require human corrections, reducing expected productivity gains. To regain control, assign one owner to track total spending and business results. Set budgets by team, establish usage alerts, and require approval for costly models or large deployments. Test new applications with limited pilots before expanding them. Compare cost per completed task, including human review, rather than subscription prices alone. Negotiate clear pricing terms and keep alternatives available. Finally, forecast several usage scenarios and maintain a contingency reserve; revisit assumptions monthly as adoption and performance evolve.