Every Power BI report is powered by an underlying semantic model. This model translates raw data into meaningful business terms with defined metrics and relationships. It ensures consistency and trust in the numbers presented in reports. Power BI Desktop files inherently contain these semantic model definitions, which are separated from visuals upon publishing. Organizations often build these semantic models without explicitly calling them that.Large language models, while proficient in language, lack inherent business knowledge. Without context, AI can generate plausible but incorrect answers to business-specific questions. Microsoft Fabric's "Fabric IQ" addresses this by leveraging existing Power BI semantic models. It grounds AI in an organization's business language and definitions, preventing misinterpretations.Existing Power BI semantic models can directly feed Fabric IQ, making defined concepts available to AI agents and tools like Microsoft 365 Copilot. This integration allows AI to provide answers based on established business logic, not statistical guesses. Semantic models can incorporate synonyms and descriptions to further enhance AI's understanding and provide context from reports. Crucially, this AI integration does not require rebuilding existing Power BI models.By connecting AI to the same semantic models used for reporting, organizations ensure that both users and AI agents receive consistent numbers. This prevents discrepancies between AI-generated answers and dashboard figures, preserving trust in data. A poorly implemented AI rollout that produces different numbers than established reports is detrimental.Frontier Firms are those that embrace human-agent collaboration, with AI agents increasingly handling tasks previously done manually. Effectively, these agents need to understand specific business contexts, which Power BI semantic models already provide. The key task for organizations is to identify, certify, and curate their existing trusted semantic models. Promoting these curated models into Fabric IQ is a process of refinement, not extensive new construction. Companies that recognize and leverage their existing data assets, like Power BI semantic models, will lead in AI adoption.