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CIOs and CFOs are demanding measurable ROI from AI spend, pushing adoption through existing SaaS platforms (Salesforce, Workday, Adobe) rather than direct model purchases, making SaaS integration the primary channel for model monetization.

Enterprise buyers are demanding measurable ROI from AI, favoring verticalized SaaS platforms that embed models into systems of record (e.g., Salesforce Agent Force) over standalone model access, creating consistent revenue streams for model providers.

CIOs and CFOs are demanding measurable ROI from AI, moving adoption from ideological to economic pursuit, which will be satisfied through verticalized SaaS platforms integrating AI into systems of record rather than standalone model access.

CIOs and CFOs are demanding measurable ROI from AI, pushing adoption through SaaS platforms (systems of record) like Salesforce Agent Force rather than direct from model labs, creating consistent enterprise buyers for AI models.

Integration of AI agents into enterprise systems of record via platforms like Salesforce Agent Force will create recurring, predictable demand for foundation models, replacing volatile consumer-driven usage with sticky enterprise contracts.

Profit margins continue migrating to memory, chip, and infrastructure providers due to supply-demand imbalance, while SaaS vendors integrating AI into systems of record can offset higher model costs by charging premiums for better products, creating a more consistent ecosystem.

Embedding agentic AI into core systems of record (ERP, CRM, HRIS) via platforms like Salesforce Agent Force will create more consistent, secure, and measurable enterprise adoption than standalone point solutions, benefiting both SaaS vendors and model providers.

SaaS platforms like Salesforce, Workday, and Adobe can charge more for AI-enhanced products, but model inference costs will offset margin gains, continuing the profit migration to infrastructure providers like chip and memory companies.