The way people search for information is changing, and that has the potential to help people navigate an increasingly fragmented TV landscape. Without the right data, however, artificial intelligence (AI) will simply reinforce existing perceptions: It can’t be trusted.
Now that AI is incorporated into many other tools people use to search for information, usage and adoption are rising rapidly. Negative consumer perceptions, however, are a major barrier to the adoption of AI as a stand-alone source of reliable information, especially in specialized industries.
-2026 Gracenote generative AI usage survey
Across the disparate entertainment landscape, AI has the potential to dramatically improve the content discovery process, especially for the 22% Americans who report abandoning their TVs when they can’t find something to watch. Consumers do see the potential of AI, but they universally agree that improved results are critical in improving perceptions and trust.
The universal skepticism about AI highlights how important it is to connect LLMs to real-world, verified data to build trust and deliver on the potential of next-gen entertainment experiences.



Bad data is a real threat. LLMs are powerful tools, but they are only as good as the information they can access.
While content libraries grow and distribution channels multiply, sports have become the hottest commodity across the streaming landscape.
RAG and MCP each address the limitations of LLMs, but they approach the issue in fundamentally different ways.
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