The EV Service Transition Will Happen Unevenly

The electric-vehicle transition is often discussed as a single industry event. The past year showed why a dealership should never plan from the headline. Cox Automotive counted a record 10.5 percent EV share of new-vehicle sales in the third quarter of 2025, 438,487 units, as buyers moved ahead of the federal tax credit's expiry. A year later, in the third quarter of 2026, the share was 6.4 percent on 262,649 units, down 39.5 percent. In between it sat at 5.8 percent for three straight quarters.

A service director who built a bay plan on the 2025 curve has a problem. A service director who built it on the 2026 curve has a different one, because the vehicles sold in 2023, 2024 and 2025 are still on the road, still coming off warranty, and still arriving in the lane whatever this quarter's sales did. The transition a shop experiences is the installed base in its market, not the national sales rate.

One market may see electric vehicles (EVs) concentrated in a few neighborhoods and model lines. Another may sell a meaningful number but see little service work because much of the local population is still under warranty or returning elsewhere. A third may have modest EV sales yet receive difficult diagnostic work from a wider area because few nearby shops are prepared to handle it. The fixed-ops director owns the readiness decision, and the useful input is local.

The variance is the story

The regional table above puts the two numbers that matter side by side. Through September 2026, zero-emission vehicles were 16.4 percent of new registrations in California, 17.3 percent in the third quarter alone, by the California New Car Dealers Association's count using Experian data. The national figure on the same basis was 6.2 percent. A store in Sacramento and a store in Omaha are not in the same transition. They are not in the same decade.

That unevenness makes broad forecasts hard to use. The service director does not need a national adoption headline. The director needs to know which work is likely to reach this shop, which capabilities it will require, and which investment needs to happen before the demand arrives. The work is also worth having: Asbury Automotive reported an average repair order of $865 on battery-electric vehicles against $517 on internal-combustion vehicles in the third quarter of 2024, and Penske Automotive reported roughly $1,300 against roughly $700, by their own accounts to investors as reported by WardsAuto. Those are two groups' numbers, not an industry average, but they are the opposite of the assumption that EVs empty the service lane.

Start with the local vehicle population

The first question is not when EVs will take over. It is what is changing in our addressable market.

Useful signals include new and used registrations, the store's own sales and lease maturities, repair-order history, appointment requests, declined or referred work, warranty activity, model mix, and the distance customers travel for qualified service. Each signal is incomplete. Together they show the shape of local demand better than a single market-share number.

The same analysis should distinguish types of work. High-voltage diagnosis, battery thermal management, tires, alignment, software concerns, collision-related inspections and routine maintenance do not require identical tools or skills. A rising EV count does not translate directly into a simple number of additional bays. Managers need a view of demand by operation, model, urgency and capability. That makes the planning question concrete: what work are we equipped to accept today, what are we referring elsewhere, and what will become material next?

Readiness is a chain, not a purchase order

It is tempting to treat EV readiness as an equipment project. Equipment matters, but it is only one link in the operating chain.

A prepared department also needs trained technicians, current safety procedures, parts access, diagnostic information, appropriate customer handling, and a scheduling process that recognizes the work's constraints. If any link is missing, the investment around it may sit unused.

That means readiness decisions should be sequenced. A dealership might first identify recurring work it cannot currently retain. It can then determine whether the constraint is certification, equipment, parts, information or capacity. The next investment should address the demonstrated constraint, with a clear owner and a date to review whether the expected work appeared.

With approved source access and an agreed refresh cadence, analytical tools can surface patterns such as repeated referrals for the same operation, appointments requiring a scarce certification, or changes in model mix that affect future service demand. This supports the next readiness decision from current evidence without pretending to predict the entire transition.

Customer education is part of the operating model

EV ownership questions do not stay neatly inside sales or service. Charging behavior can sound like a vehicle fault. Range expectations can change with weather, speed, load and driving pattern. Software updates and unfamiliar warnings can produce anxiety even when the resolution is straightforward.

When sales, service and customer communications use different explanations, the dealership creates avoidable friction. The fix is not an unrestricted chatbot guessing at technical answers. It is a controlled knowledge workflow built from approved guidance, the customer's vehicle context, and a clear escalation path when safety or diagnosis is involved.

Common questions can be prepared consistently. Higher-risk concerns should move to a qualified person with the relevant history attached. The system should show which source supported the answer and when that source was last reviewed. This is one place where governance and customer experience are the same issue. A fast answer is not helpful if it is outdated, overly certain, or inappropriate for the vehicle involved.

Turn the transition into reviewable decisions

A monthly EV dashboard can describe change without helping the department respond. A useful operating review should produce decisions.

Examples might include scheduling a certification before the current bottleneck becomes critical, stocking a part tied to repeated delays, revising appointment questions so high-voltage concerns are identified earlier, or creating a customer explanation for a recurring issue. Each decision should have an owner, evidence, expected result and review date.

Measures should follow the same logic:

• EV work accepted, completed, delayed or referred by operation type
• Wait time for the skills, equipment or parts specific to that work
• Repeat contacts caused by an unclear or incomplete explanation
• Training or equipment utilization after an investment
• Exceptions that received a documented manager decision

These measures prevent two common errors. The first is investing too early based on a broad narrative, which is what the 2025 sales curve invited. The second is waiting until the shop is repeatedly turning away work that could have been planned for, which is what the 2026 curve invites. The right posture is neither hype nor denial. It is readiness tied to local evidence. The dealership that sees the change clearly can build capability in useful increments, protect safety, and make better promises to customers.

Questions for the next planning review

• Which EV work is appearing, being delayed, or leaving the dealership because a specific capability is missing?
• Are training and equipment decisions tied to local signals and a review date, or only to a general market forecast?
• Can every customer-facing EV answer be traced to approved guidance and escalated when the situation requires diagnosis?