Enterprise software procurement data reveals a pivot in corporate artificial intelligence spending. Executive leadership teams are moving away from broad consumer-facing models in favor of domain-specific, locally deployed architecture.
Data Governance and Cost Control
Proprietary data security concerns remain the primary driver for on-premises deployment. Simultaneously, smaller 7-billion to 13-billion parameter models optimized for specific workflows deliver higher precision at a fraction of the compute inference cost.