In 2025, managing the costs of enterprise AI has become a board-level priority. With the rapid evolution of generative AI (GenAI), usage-based pricing models, regulatory demands, and integration complexity, cost volatility is now the norm. For mid- to senior-level business and technology leaders, mastering AI cost management is essential to unlock sustainable value and measurable ROI. This article delivers actionable frameworks, sector-specific use cases, and a leader’s checklist for controlling AI spend and maximising business impact.
KEY TAKEAWAYS:
- AI cost volatility is driven by GenAI, complex integration, and evolving vendor pricing.
- Strategic cost management requires real-time monitoring, scenario-based budgeting, and proof-of-value pilots.
- Sector use cases reveal measurable savings and productivity gains.
- Best practices in vendor negotiation, governance, and leadership enable sustainable cost control.