Artificial intelligence adoption promises productivity gains, but the financial reality is far more complex. As enterprises rush to implement AI solutions, most finance teams have not adequately mapped the true cost structure such as fixed infrastructure investments, variable consumption fees, potential price escalation from major model providers, and the mounting expense of building and maintaining custom AI capabilities in-house. This webinar cuts through the vendor narratives and examines how AI economics actually work, the trade-offs between commercially available models and proprietary systems, and the strategic decisions that separate cost-effective AI deployment from expensive experimentation.
Finance leaders must understand not just today's AI costs, but tomorrow's. When commercially available models become mission-critical utilities and provider market share consolidates, per-token pricing may no longer remain flat. This session explores fixed versus variable cost models, unit economics by deployment approach, and how to build a defensible AI cost strategy that protects your balance sheet and working capital.
Speakers:
Elaine Nowak, Global VP of Product Marketing, Sidetrade
Sergejs Cuhrajs, Senior Product Marketing Manager, Sidetrade