NADA floors are about to flood with AI.
Some of it represents meaningful progress. Much of it is familiar software wrapped in new language.
This article introduces a practical way to distinguish real AI platforms from “AI slop” — tools that sound modern but rarely change how visibility, content, or teams actually operate.
AI adoption pressure is real for every dealer, vendor, and agency in automotive.
Dealers are asking about it. Agencies are being asked about it. Vendors feel compelled to respond.
The fastest response is often cosmetic:
These additions create the appearance of progress without rethinking the underlying system.
AI slop rarely looks broken. It often looks polished… fast… sexy.
Common signals include:
The product feels new. The operating reality stays the same.
An AI feature improves a task.
An AI system changes how work flows through an organization.
Features answer questions faster. Systems reduce how often questions need to be asked.
This distinction becomes obvious over time:
Features create bursts of productivity
Systems create sustained leverage
When evaluating tools at NADA, apply this simple test:
If the AI disappeared tomorrow, would the operating model still be stronger?
If the answer is no, the AI is likely masking structural weakness.
If the answer is yes, the AI is probably embedded in a real platform.
Platforms that move beyond slop tend to share common traits:
AI enhances these systems – it doesn’t carry them.
These questions often reveal whether AI is structural or superficial:
Clear answers usually indicate a platform. Vague answers often signal slop.
NADA will showcase a wave of AI-enabled tools.
The opportunity is not avoiding them, and it’s not chasing every shiny object… it’s recognizing which ones are built on solid foundations.
As AI becomes table stakes, differentiation will come from platforms that turn intelligence into operating advantage, and users into superheroes.
That’s the line between experimentation and progress.
Part of the NADA 2026 Series
