AI shifts cost structures by front-loading expenses into the training phase, requiring new financial models, smarter cost allocation, and sustainability-aware infrastructure planning to manage total cost of ownership effectively.

Building AI in-house requires careful planning across cloud and on-prem infrastructure, labor, data management, and security. Balancing cost, performance, and control is key to long-term success.