🔥 The AI Drop

Automotive Ventures partner Steve Greenfield went on CBT News' Future of Automotive segment this week and put a number on something dealers usually talk about in vague, hand-wavy terms: labor makes up about 47% of a dealership's cost structure, citing NADA data. That's not a rounding error — that's nearly half of everything you spend, and it's exactly where Greenfield says AI is about to drive the biggest profitability gains in the industry.

His prediction isn't "AI replaces people tomorrow." It's a phased shift: first, AI makes your existing team more productive — techs billing more hours, salespeople closing more deals per person. Then, quietly, dealers realize they can hit the same output with fewer bodies. He singled out the BDC specifically, saying it's likely to look "archaic" within five years. F&I isn't exempt either.

Here's the part that should really get your attention: dealer profitability has sat between 1.5% and 2.5% net income before tax for the past 50 years. Last year it hit 3.3%. Greenfield's bet is that AI is a real lever to push that number meaningfully higher — not hype, actual margin.

This lands the same week Impel's Chief Product Officer flagged the flip side of the AI story: he says he can't walk into a dealership without someone in BDC, service, or sales casually mentioning they used ChatGPT or Claude on a customer list that morning — with zero policy governing it. Two stories, one truth: your team is already using AI whether you've approved it or not, and the departments most likely to shrink (BDC, F&I) are the same ones currently freelancing with consumer AI tools and no guardrails.

Don't panic-fire your BDC on Monday. But don't sit on this either. The dealers who win this cycle are the ones who start cross-training BDC reps into higher-value work now — retention, F&I support, showroom closing — while using AI to make each remaining rep more productive. The dealers who wait will be reorganizing under pressure in 18 months, with no head start and no institutional muscle memory for how to do it well.

What a GM should actually do: Pull your labor cost as a % of total dealership expense this week. If it's anywhere near that 47% NADA benchmark, that's your business case for piloting AI in BDC/service — not as a headcount-cutting exercise, but as a "make my best rep's playbook scalable" exercise. Start the conversation with your GSM and your BDC manager this week, together, before the decision gets made for you.

Source: https://www.cbtnews.com/ai-could-shrink-bdc-and-f-and-i

🛠️ Tool of the Week

CarJiffy — A dealer-branded e-commerce layer that sits directly on your existing website, letting buyers price the deal, manage a trade-in, apply for credit, pick F&I products, upload docs, e-sign, put down a deposit, and schedule pickup or delivery — all without leaving your site. CarJiffy's CRO makes the case that since shoppers are already using ChatGPT, Gemini, and Claude to research and compare before they ever call you, dealers who can't support the actual transaction risk losing the buyer to whoever can. Dealers using it have reportedly seen F&I reserves and per-vehicle revenue increase, since buyers move through the process without the pressure of a face-to-face F&I pitch.

Price: Not publicly listed, but CarJiffy is currently offering a 60-day free trial with no long-term commitment.

Best for: Franchise or independent stores that want to own the online-to-close transaction instead of routing buyers through a third-party marketplace.

Source: https://www.cbtnews.com/carjiffy-shifts-to-ai-buying

📊 The Numbers

  • 82% of dealers say they're using AI — but only 29% have adjusted their strategy for AI-powered search, while 63% of shoppers plan to use AI on their next vehicle purchase. This is the gap to watch: adoption is nearly universal, but strategy hasn't caught up. Primary source: Cox Automotive AI in Auto Retail Tracker, based on a survey of 483–504 dealers and ~1,500 in-market consumers per quarter. Source: https://www.coxautoinc.com/press-releases/new-cox-automotive-ai-in-auto-retail-tracker/

  • Dealer profitability held between 1.5% and 2.5% net income before tax for 50 years — last year it hit 3.3%. This comes from Steve Greenfield's CBT News commentary, not a primary Cox/NADA dataset, so treat it as directional/analyst commentary rather than an audited industry figure. Source: https://www.cbtnews.com/ai-could-shrink-bdc-and-f-and-i

🔮 What's Coming

Every trend line this week points the same direction: adoption is done, execution is the new battleground. Consumers are already ahead — using AI to research, negotiate, and even deploy their own buying agents — while most dealers still haven't touched their AI search strategy (GEO/AEO is becoming the new SEO, and vendors like DealerOn are racing to fill that gap). Vendors are converging on "one AI brain" platforms instead of stacked point tools, echoing years of dealer fatigue with 40+ disconnected systems. And the labor conversation is getting specific and numeric — it's no longer "AI might change jobs," it's "labor is 47% of your cost structure and AI is coming for the BDC and F&I by name." Layer in OEM-level money (Porsche's $1.46B TCS deal) and international data showing UK dealers now call AI "mainstream," and the picture is clear: "wait and see" is the shrinking minority position, not the safe one.

✅ Do This Monday

Write and distribute a one-page AI usage policy for staff before Friday. At minimum, it should say what customer data can and can't be pasted into ChatGPT/Claude/Gemini, who's accountable, and what tools are actually approved. Multiple briefs this week confirm your BDC, service, and sales teams are already using consumer AI tools on customer lists with zero governance — that's a legal exposure sitting in your dealership right now, and it's the cheapest, fastest fix on this entire list. Source: https://news.dealershipguy.com/p/that-job-is-gone-how-ai-already-killed-this-dealership-job-how-to-prepare-for-it

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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.