“The best way to predict the future is to create it.”
—Alan Kay, Computer Scientist
The AI Breakdown
A new study out of Oxford and the University of Kentucky put ChatGPT through a 20M-query audit and found a consistent pattern: LLMs tend to describe wealthy, Western, data-rich places more positively, while portraying much of the Global South as less desirable or less “capable.”
The researchers call this the “silicon gaze”: a structural tendency for large language models to privilege places with deeper digital footprints.
Source: Inequalities.ai
The map here shows the effect at the U.S. state level. When asked to rank where workers are “lazier,” the model clusters certain regions together in predictable ways.
It does not pull Bureau of Labor Statistics productivity data. It predicts based on language frequency and narrative repetition. And that distinction matters.
Location bias does not require extreme prompts either. It activates anytime place-based language enters the request.
What Dealers Should Do
Audit geo-based content. Review hiring ads, geo-targeted campaigns and market summaries for place-based assumptions. Flag tone differences between regions.
Require internal data checks. Before acting on any AI-generated market insight, compare it against CRM performance by ZIP, service retention rates, lead-to-sale conversion and fixed ops penetration. Your store data outranks internet narrative.
Standardize prompts. Avoid vague geography prompts like “best market” or “stronger workforce.” Anchor requests to measurable variables you define.
Separate narrative from decision. Treat LLM commentary about regions as contextual language, not strategic input.
Prompt of the Week
During a recent meeting, our CEO Paul referenced "Who Moved My Cheese?" while we were talking about navigating change.
The book and it’s message still holds up.
Because whether it is a new strategy, a CRM overhaul, or AI creeping into every day operations, the cheese always moves. The only real variable is how each of us responds.
That sparked this week’s Prompt of the Week:
Step 1: Upload your DISC profile into a new chatbot thread (take a free test here).
Step 2: Feed it this prompt:
Here is my DISC profile type. Tell me what type of mouse I most likely am to be in the “Who Moved My Cheese?” book, how I am likely to react to change, what are any pit-falls I should avoid when navigating, what my strengths in change are, what my weaknesses are, and where are the opportunities to grow.
Fresh Finds for Auto Pros
Data Management: Edgee
Edgee acts as an AI infrastructure layer. It compresses prompts before they reach large language models, reducing token usage and cutting costs.
Marketing & Advertising: Wabi
Delivers personalized mini-apps tailored to individual user habits, moving beyond traditional one-size-fits-all app experiences. Dealers could use it to create customized customer tools—like trade-in trackers, service dashboards, or loyalty apps—designed specifically around how their buyers interact with the store.
Content Creation: Lunair
Turns simple text into studio-quality explainer videos with consistent characters and voiceovers, making it easy to create polished content fast. Dealers could use it for vehicle walkarounds, service explainers, hiring videos, or ad campaigns without needing an in-house production team.
Hear from the Experts
Our COO Kyle Mountsier has been hands-on with AI since the start, and he’s got the receipts.
In this interview from the NADA show floor, Kyle shares how he’s using AI across marketing, internal tooling, creative reviews, and content workflows. He talks about building brand rubrics, experimenting with vibe coding, and how AI can help teams move faster without losing their edge.
Catch the full interview and see how Kyle’s thinking about AI, team adoption, and the next wave of tools.
Bits and Bytes
Tesla is beginning to roll out xAI’s Grok to vehicles across Europe. 🌍
Scientists have discovered a new way to 3D print tiny items in less than a second using holographic light fields. 💡
Waymo says its 6th-generation driver is ready to handle snow without a human. 🌨️
Parting Pixels
Thanks for reading along, Friend! Be curious, but stay skeptical.
