🔥 Top Story

Two salespeople at Mark Miller Subaru spent four hours negotiating a deal. Neither one knew they were talking to a machine.

Chris Hudson, GM of Mark Miller Subaru in Salt Lake City, was tinkering with AI when he realized he could build an agent to shop his own store. First he ran a buyer-side agent from CarEdge against his team without telling them. ("There's no emotion, there's no heart; it's all parameters with the agent," he said.) Then he built his own dealer-side agent and let the two bots negotiate. He believes it's the first publicly known AI-agent-to-AI-agent car deal, and he says he did extensive research, including checking with CarEdge, before claiming it.

The clever part: Hudson published a free, open-source framework he calls the DMC-12 protocol (yes, the DeLorean from Back to the Future) at dmc-12.ai. It acts like "a catcher's mitt" for AI-driven leads, routing agent inquiries into a separate system so bots don't pollute your CRM stats, and it's built to ride on the same Universal Commerce Protocol that Walmart, Visa, and Amex are adopting. Hudson pegs agent-to-agent deals at about half a percent of auto volume today, roughly where internet deals were in the late 1990s.

Source: https://news.dealershipguy.com/p/first-publicly-known-agent-to-agent-car-deal-goes-down-in-salt-lake-city-2026-05-22


📰 Other Notable Stories


💡 Tool Spotlight

The AI BDC category (Numa, BDC.AI, and the wave behind them)

What it does: AI BDC tools handle the grunt work the human BDC can't keep up with — instant lead response, after-hours text/chat/email, inbound call answering, and service scheduling — and hand warm, qualified conversations back to your people. Numa leans heavily into AI voice agents for service and missed calls; BDC.AI focuses on sales lead engagement.

Approximate price: Industry sourcing puts robust, dealer-specific AI BDC products in the $300–$1,000+ per month range, with free/low-cost ChatGPT-style integrations available but limited on compliance and CRM integration. (Note: exact per-vendor pricing isn't publicly published; the range is from industry reporting, not a vendor quote — verify with the vendor before quoting a client.)

Who it's for: Any store losing leads to slow response time or bleeding service calls to voicemail after 6pm. This is the most-adopted AI use case for a reason — it's the lowest-risk place to start.

Source: https://drivecentric.com/collection/chatgpt-for-the-automotive-industry · https://www.numa.com/ · https://www.bdc.ai/


📊 Stat of the Day

100% of dealers using AI beyond basic chatbots reported a revenue increase — and 37% reported a 10–30% boost. (Fullpath survey.) The catch: only 52% of dealers are using AI for anything beyond 24/7 chat, so most stores are leaving that lift on the table.

Source: https://www.fullpath.com/blog/the-dealership-marketing-playbook-for-2026/ · https://www.coxautoinc.com/insights/automotive-dealers-are-ready-for-ai-to-deliver-outcomes-and-skip-the-hype-according-to-new-cox-automotive-study/


🔮 Trend Watch

Three patterns are converging this week. First, the AI buyer stopped being hypothetical — the Salt Lake agent-vs-agent deal makes it concrete, and Automotive News is already publishing objection-handling playbooks for chatbot-armed shoppers. Second, the tooling market is consolidating — the "point solution" gold rush is collapsing into unified platforms and embedded AI, which means the 14-vendor tech stack is on borrowed time. Third, and most important for our audience, the bottleneck has moved from adoption to fit — dealers aren't asking "should we use AI," they're saying "generic AI doesn't understand my business." That last one is the real story: the money in 2026 isn't in selling dealers AI, it's in selling them AI that already speaks fluent car business.


Free dealer AI tools

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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.