• Cerillion's Nov. 12, 2026, analysis expects AI software pricing to blend subscription, usage-based and performance-linked models rather than shift entirely to outcomes.
• Outcome-based pricing shifts some commercial risk to suppliers, which still incur computing costs when unsuccessful AI activity generates no revenue.
• Hybrid fees could cover underlying costs while linking additional payments to agreed results, limiting suppliers' exposure to failed attempts.
• Adoption hinges on auditable success metrics and supplier control over workflows; deeper integration could make software services more customized.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Cerillion plc published the original content used to generate this news brief on November 12, 2026, and is solely responsible for the information contained therein.