🔥 Top Story

Chris Hudson, General Manager of Mark Miller Subaru, broke down lessons from his first AI-to-AI transaction on CBT Live, lessons already influencing how his dealership handles workflow, data, and digital retailing — while revealing that the infrastructure connecting buyers, dealers, and AI agents isn't built yet. Hudson is now developing an agentic dealer network to simplify AI model access to clean dealership inventory data, with the goal of enabling direct transactions through AI assistants without shoppers ever calling or visiting a dealership website.

Source: https://www.cbtnews.com/chris-hudson-prepares-for-ai-car-buying/

📰 Other Notable Stories

💡 Tool Spotlight

LotGPT (Lotlinx) — a dealer-facing AI tool that watches every VIN on your lot against live market supply, competitor pricing, and real shopper demand, and identifies which VDPs are underperforming while generating upgraded photos and descriptions. Unlike general-purpose platforms like ChatGPT, it's built exclusively for dealerships, pulling proprietary dealer data to generate recommendations for inventory, pricing, and operations.

Price: Free for dealers, per Lotlinx's own site — verify at lotlinx.com before you buy (confirm current terms, since "free" tools from vendors often gate deeper features later).

Who it's for: Used-car and inventory managers who want VIN-level pricing intel without paying for it — the guy who needs to know which units are bleeding money on day 45 before it's day 90.

Who it's NOT for: Anyone expecting it to replace your BDC or run lead follow-up — this is an inventory advisor, not a conversation engine. Don't confuse "free chatbot" with "full AI stack."

📊 Stat of the Day

14% of dealers say they trust AI tools for lead follow-up. 57% trust their own sales team. Only 14% of dealers surveyed by Urban Science told researchers that they have confidence in AI tools for lead follow-up, versus 57% for their in-house sales teams. Source: 2026 Urban Science/Harris Poll study, dealer fieldwork conducted January–February 2026, reported via PR Newswire May 13, 2026 (https://www.autoremarketing.com/ar/retail/urban-science-survey-dealers-confident-in-sales-process-wary-of-ai-for-lead-follow-ups/).

Plain-English version: for every dealer who'd let a bot chase a lead unsupervised, four would rather hand it to a human — even a mediocre one. That's not Luddite paranoia. Even when sales teams excel at engaging customers, most dealers complain of limited insight into lead status, with 74% not fully satisfied with their ability to know if a lead has defected. Translation: dealers don't trust AI with leads because they can't even track what their humans are doing with leads. Fix the visibility problem first. The AI trust problem follows.

🔮 Trend Watch

Three storylines from this week point at the same tension: dealers are racing to build (or buy) the "one brain" platform — an agentic OS, an AI-to-AI transaction network, a unified CDXP — while the data underneath it is still messy and the humans running the floor still trust each other more than the algorithm. Hudson's Subaru experiment proved the concept works; it also proved the infrastructure doesn't exist yet. DealerCortex's launch and the broader "agentic operating system" pitch are betting dealers will buy the vision before the plumbing catches up. Meanwhile the Urban Science data says the rank and file isn't there — 57% trust their own team, 14% trust the bot. The stores that win this cycle won't be the ones with the flashiest agentic pitch deck. They'll be the ones who fixed their lead-visibility gap first, so that whatever AI they eventually plug in has something honest to work with.


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Reading about AI won't train your team

The stores pulling ahead aren't the ones with the most tools — they're the ones whose people know how to use them. That takes a strategy, a readiness baseline, and real training.