Why cheaper models alone won’t save your AI budget

The goal of finding the cheapest capable AI model may not be enough to save budgets, as agentic AI evolves. This is because more advanced models require more resources and training, making cost savings from cheaper models negligible. Engineers should consider other factors such as model complexity, maintenance, and scalability. A more holistic approach is needed to optimize AI budgets. This includes evaluating the total cost of ownership and considering the long-term implications of AI adoption.