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October 28, 2025 / by Earl Brown

AI in the Dealership, Less Hype More Value

In my last column, I argued that AI isn’t (and shouldn’t be) here to replace good car people; it’s here to replace wasted time. That still holds. What’s changing most rapidly is the signal-to-noise ratio. Every month, there’s more hype, more vendors, and more spurious claims being made, and somehow, less substance. Dealers should be focused on cutting through all that noise to focus on what will actually work for them, as well as the GMs,  sales, service, and marketing leaders who keep the store’s wheels turning.

First, the obvious business case

AI isn’t a shiny toy. Dealers already using it are seeing real gains. A recent industry study found 55% of dealerships that implemented AI reported a 10–30% revenue lift year over year. That’s not theory; that’s your monthly P&L talking.

Where does the lift come from? Better lead triage, faster response, and fewer dropped balls (or calls). One large-scale analysis showed that AI-enabled stores achieved 27% higher showroom appointment-set rates and a stronger sales conversion versus traditional processes. Speed matters. Another dataset shows faster-responding retailers win up to 8x more deals. If your store isn’t answering first, you can be sure that a competitor is.

Where AI helps immediately

Lead handling and chat. Customers expect instant answers. An AI assistant can qualify, answer common questions, and set appointments 24/7/365. Real-world case studies show that a large share of engaged leads now originate after hours because the assistant never sleeps. Just hand-off to a salesperson in the morning, with context preserved so they can start nurturing the human connection that will move the deal forward.

Service lane coverage. The service phone never stops ringing. AI voice agents can schedule, check status, and deflect routine calls so advisors stay with walk-ins. The key is setup and integration. Treat the agent like a process, not a gadget: route intelligently, integrate with your scheduler and status tools, and migrate to a human quickly when needed. That’s how you prevent frustration and keep your precious CSI intact.

Inventory and pricing. You don’t need a data-science team to get smarter on turn and gross. Practical AI tools can flag aging risk, suggest pricing moves, and surface “right car for this market” insights. Use them to guide decisions, not replace judgment. (Measure Profit Per Day™ and days to sell on every change.)

Humans + AI = best of both

If your team is nervous about job loss, address it head on. In a broad dealership survey, 72% of leaders said AI enhances staff rather than replaces them. Use it as a force multiple and let the machine handle repetitive tasks while your people build relationships, coach, and close.

A second point on culture: 68% of dealerships report AI has already improved operations. The common thread is “human in the loop” oversight, clear use cases, and tight KPIs. Your managers will still own outcomes; AI just removes friction.

Mind the guardrails

AI can hallucinate or go off-script if you don’t constrain it. Retail tech leaders caution that inaccurate answers can damage trust and create real risk if left unchecked. Use vertical, dealership-tuned models, restrict them to approved knowledge, and keep people in the loop for exceptions. That combination, plus layered safeguards, will reduce errors and keep you compliant.

Ask yourself, does this AI solution lead to better outcomes?

There are many distractions and shiny objects popping up in this space over the last couple of years, but we should be asking ourselves: what is the actual problem we hope to solve with this adoption?

Variable ops

  • Speed‑to‑lead and speed‑to‑first‑appointment.
  • Show rate, demo rate, close rate.
  • Front‑ and back‑end gross, turn time, aged‑unit reduction.

Fixed ops

  • Appointment adherence and bay utilization.
  • Dollars per RO, one‑and‑done percentage.
  • Advisor caseload and average time‑to‑update.

Desking & F&I

  • Time to pencil, time in the box, document defect rates.
  • Fund‑time and contract‑in‑transit days.

Marketing

  • MQL‑to‑appointment rate, cost per kept appointment.
  • Opt‑in growth and reply rates across channels.

What dealers should expect next

Budgets are shifting toward AI because dealers see the ROI. 81% of stores report plans to increase AI investment in 2025. The winners won’t be the ones who bought the most tools; they’ll be the ones who operationalized a few tools well, with clear guardrails and clear ownership.

Bringing it back to the desk

AI won’t close a deal or retain a customer on its own. However, It will make your people faster and more consistent. It will make your marketing and BDC more responsive. It will keep your service lane from drowning in calls. And it will free your managers to do the real work of coaching, desking, and controlling outcomes in the showroom. That was the point of my earlier piece, and it’s the same point now: use AI to remove the tedious tasks, so your team can deliver a better human experience. The stores that adopt this paradigm with discipline will see the biggest lift and will in turn position themselves well in the market.