Automotive is usually described through separate transitions: electrification, software-defined vehicles, Chinese competition, direct sales, new regulation and pressure on capital. Inside an organisation that separation is understandable. It is also where the larger operating shift gets lost.

The vehicle is not disappearing. The industry will continue to design, manufacture, finance, sell and repair vehicles. What is moving is control over the layers that determine cost, functionality, customer access and lifetime value once the vehicle has been built.

In 2025, global electric-car sales exceeded 20 million and reached roughly a quarter of new-car sales. China produced 70 per cent of the world's electric cars and more than 80 per cent of its battery cells. At the same time, software can change functionality after delivery, regulation extends further into the vehicle lifecycle and the industrial system around the car remains tied to assets and obligations built over decades.

That is the common problem: the product, technology and customer interface can change in years while factories, contracts, network economics, systems and organisational routines move much more slowly.

Scale, engineering depth, manufacturing expertise, supplier relationships, regulated market access and extensive retail and service networks are still real advantages. They are not automatically flexible advantages.

A specialised factory can protect product quality and cost at scale while committing capital to a technology generation whose economics are weakening. A dense dealer network can provide reach, trust and local operating capacity while making channel changes contractually and financially difficult. Deep process stability can protect safety and quality while slowing decisions when software, data and customer-experience cycles demand a different pace.

The useful review is forward-looking: which future position does an asset or contract support, what does it prevent, and what capital would become available if it were adapted, partnered, consolidated or exited?

That is why yesterday's advantage can become a reaction barrier without becoming a bad asset.

Control does not require full ownership. It means having the rights, data, decision authority and economics needed to run the proposition. An OEM can source batteries without giving up battery-health data, integrate a third-party operating system while preserving customer identity, or use an independent retail network while retaining transparent inventory and pricing governance.

The risk appears when dependency grows faster than the governance around it.

New entrants do not always begin at the same starting line as a traditional OEM.

Xiaomi illustrates the point. By the end of 2025, the company reported 754.1 million monthly active users, more than one billion connected IoT devices, approximately 18,000 stores in mainland China and 411,082 vehicle deliveries during the year. Its stated strategy connects people, cars and homes through one ecosystem.

It still had to build the physical automotive capability. The difference was that the vehicle entered an existing customer, account, software, device and retail system. The relationship did not begin at vehicle launch.

A platform company can bring an installed user base and operating system. A battery company can bring cost knowledge and lifecycle data. A finance provider can control the purchase mechanism and residual-value risk. None needs to replace the manufacturer completely to capture an important value layer.

Evaluating these companies only as manufacturers misses the part of their advantage that already existed before the first car.

For much of automotive history, the dealer held the most frequent direct customer relationship. Digital interfaces alter that division because manufacturer apps, in-vehicle systems, subscriptions, charging services, finance platforms and connected-service accounts create recurring contact after delivery.

The practical test is not who owns the screen. Follow one event through the lifecycle. When a vehicle identifies a battery issue, who sees the data, contacts the customer, selects the repair location, authorises warranty treatment, controls the parts flow and closes the follow-up?

If those rights sit across several parties without one governed process, the digital interface has created visibility without control.

This is where many digital programmes stop too early. The front end gets better while ownership, workflow and economics remain unresolved behind it.

These are operating-model decisions. Technology can support them, but a platform cannot decide who carries the risk or resolves a cross-functional conflict.

This is also why transformation often appears to slow after strategic approval. The direction may be clear while the business still has to translate it into roles, economics, processes, systems and management routines, with the legacy model continuing to run at the same time.

OEMs

The OEM remains responsible for the vehicle and the integrity of the proposition. Its risk is carrying the capital intensity while suppliers, platforms, finance providers or digital ecosystems control the customer and lifecycle layers around it.

Importers and national sales companies

The defensible role moves beyond wholesale flow into market orchestration: regulatory adaptation, network economics, dealer performance, inventory, customer operations and execution across fragmented systems.

Dealer groups

Delivery, repair, body work, used vehicles, local trust and service recovery remain valuable. The question is which capabilities can generate margin when the recurring digital relationship and parts of lifecycle revenue move upstream.

Investors and boards

Two companies with similar current earnings can hold very different positions if one controls customer identity, architecture and recurring services while the other carries long-lived assets without equivalent control rights.

A trend inventory does not tell management which position it actually controls. A more useful review connects value, control and capital.

1. Map where revenue, gross profit, cash generation and customer contact are expected to move over the next five to seven years.
2. Identify who controls the customer account, pricing decision, inventory, vehicle data, software release, payment relationship, service workflow and lifecycle communication.
3. List the assets, contracts, workforce capabilities and systems that make a required move difficult, and quantify the capital consumed by preserving them.
4. Choose deliberately which layers to own, partner and orchestrate, including data rights, service levels, exit conditions and value sharing.
5. Translate those choices into roles, processes, governance, data flows, management routines and measures.

This is the same operating logic at.Pointe uses in transformation work: diagnose the structural constraint, redesign the operating model, build the execution system, then embed and measure it.

The quantitative examples above come from the public evidence used in the original August 2026 article, including 2025 market and company disclosures. They are retained here as the evidence base of that publication date rather than presented as a live market dashboard.

• Building the EV operating model before the market was ready
• Direct sales removes the dealer buffer
• Dealers Keep the Workshop. OEMs Take the Annuity.
• The Execution Vacuum