GM details centralized vehicle computing for 2028, with AI speeding development

GM’s next electric-vehicle platform will bring functions now scattered across the car into a central computer, laying the groundwork for more advanced automated driving. Announced at GM Forward in New York on October 21, the overhaul is scheduled to debut in the Cadillac Escalade IQ in 2028. GM is also using enterprise AI to shorten vehicle development.

The fourth-generation EV platform changes the electrical and computing foundation beneath the vehicle. Instead of distributing functions among numerous smaller chips, GM will consolidate much of that work in a Central Compute Unit, or CCU. The company says the unit is 40 times more powerful than its existing systems.

Its responsibilities extend well beyond the dashboard. The new architecture connects acceleration and power, steering, braking, active safety and software. The CCU will handle propulsion and chassis controls, along with perception—the processing that helps a vehicle understand its surroundings—and active safety functions.

That consolidation also changes how the car is assembled. GM says removing smaller chips around the vehicle will cut wiring by 30%, saving weight and simplifying assembly. Although the computer will arrive first in an electric Cadillac, GM says it will also work in fossil-fuel vehicles.

This is a more detailed timetable for a direction GM had already set. Last year, it outlined plans to overhaul vehicle electronics and computing for faster software, more capable automated driving and a conversational AI assistant. Wednesday’s announcement adds architecture details and a first vehicle, TechCrunch reported.

40×Computing power

GM’s comparison with its existing systems.

30%Wiring reduction

GM’s projected reduction from centralizing vehicle functions.

GM also plans a highway-driving feature for 2028 that would let drivers take both their hands and eyes off the road, without needing to remain ready to take over. That is a planned capability, not something delivered by Wednesday’s announcement.

The computing redesign is part of the foundation for that ambition. GM concluded that its existing platform could not support the autonomy it wanted to deliver. Bringing perception, safety and vehicle controls onto the new architecture is intended to support more advanced driving features.

The work follows substantial software investment. GM recorded $866 million in capitalized software amortization expense in 2025, reflecting software costs spread over time rather than a single year’s cash spending.

Alongside the vehicle hardware, GM described a push to change how quickly it develops cars. The company says enterprise AI tools have accelerated work across its development operations as it seeks to halve a traditional four-to-five-year timeline.

Its concrete example concerns a lithium-manganese-rich battery pack. Engineers evaluated 300,000 virtual designs before assembling the first physical prototype, GM said. The concept moved to an approved program in one month. The example puts extensive digital exploration ahead of the first physical build.

The milestone was program approval, not completion of a production vehicle. It illustrates one engineering step moving faster; GM’s broader goal remains a shorter end-to-end development cycle.

The competitive target is clear. Chinese automakers have shortened vehicle development to two or three years, according to TechCrunch, and GM intends to match that pace. Its announcement therefore addresses two different clocks: the time required to engineer a vehicle, and the 2028 arrival of the computing platform meant to support its next driving capabilities.