OpenAI GPT 6.1 Terra Pro

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 difficult to forecast because costs depend on more than the price of a model. Demand, technology choices, and organizational behavior can all change quickly, often at the same time. First, usage is unpredictable. A successful assistant may attract far more requests than expected, and longer conversations or larger documents cost more to process. Set budgets and usage alerts, test demand before a broad rollout, and charge costs to the teams generating them. Second, prices and performance vary across providers and models. A powerful model may be unnecessarily expensive for routine tasks, while a cheaper one may require extra checking. Compare total cost and quality, use simpler models where appropriate, and retain the ability to switch suppliers. Third, model fees are only part of the bill. Preparing data, connecting systems, securing information, monitoring results, and training staff can exceed initial estimates. Fund these activities explicitly, with an owner accountable for the full cost. Finally, benefits are uncertain. Errors, regulation, and changing business needs can force rework or delay savings. Review spending against measurable outcomes regularly, run small pilots, and stop or redesign projects that do not deliver. Forecast a range rather than a single number, and keep a contingency reserve for unexpected expenses.