Big Dealer Groups Bet Big on AI — But the Winners Will Be the Ones Who Connect the Data

What's new: Six publicly traded dealership groups are expanding AI deployments from marketing-page chatbots into core operations — lead routing, contract processing, and inventory management — while one group has gone further, building its own AI tools in-house rather than buying off-the-shelf.

Why it matters: AI spend at the group level is no longer experimental. It's showing up in daily workflows that touch close rates and gross profit directly. But new analysis warns that most stores are hitting an "execution gap" — tools are being bought, not connected — and the dealers who wire AI into a unified customer/vehicle/deal record will separate from the pack by 2027.

• Where the money's going: Public groups are prioritizing three buckets — automating back-office paperwork, speeding sales/service response times, and scoring/prioritizing leads so reps chase the deals most likely to close.
• Build vs. buy is now a real strategy question: At least one major group is skipping vendors entirely, developing proprietary AI for inventory and customer service — a signal that off-the-shelf tools aren't solving every operator's specific bottlenecks.
• The catch: Analysts flag that disconnected point solutions — a chatbot here, a lead-scoring tool there — don't move the needle nearly as much as AI that's tied into one system of record spanning the customer, the vehicle, and the deal itself.
• Operator takeaway: Before adding another AI point tool, ask whether it talks to your CRM, DMS, and inventory data — or just adds another silo. The dealers pulling ahead by 2027 won't be the ones with the most AI logos; they'll be the ones whose systems actually share data.

Bottom line: scale is arriving, but connectivity — not adoption alone — is becoming the real competitive line in the sand.