Adobe Pivots to Outcome-Based AI Pricing

The commercial landscape of artificial intelligence is undergoing a profound transformation. Adobe has announced a pivot to outcome-based pricing for its newly rebranded CX Enterprise suite, charging customers based on AI outcomes, such as completed ad campaigns, rather than computational access. This move, which aligns with similar strategies from Sierra, Zendesk, and Salesforce, signals a critical shift in how enterprise software is monetised.

For commercial teams in the Architecture, Engineering, and Construction (AEC) sector, this pricing model debate, subscription versus token versus outcome, is not an abstract tech industry concern. It maps directly to how project management, cost management, and design firms will procure and deploy AI-driven services in the near future.

The dominant pricing model for generative AI has been token-based consumption. Users pay for the computational resources required to process input prompts and generate output text. While this model is transparent and easy to measure, it fundamentally misaligns cost with value.

A user might expend millions of tokens iterating on a prompt without ever achieving a usable result. Conversely, a single, highly optimised prompt might generate immense value while consuming minimal computational resources. 

In our perspective, token-based pricing creates a disincentive for widespread adoption within AEC firms. It introduces unpredictable variable costs that are difficult to budget for and manage. Cost managers, who thrive on predictability and defined scope, are naturally wary of open-ended consumption models where the financial exposure is uncapped and the return on investment is uncertain.