Bitget App
Trade smarter
Buy cryptoMarketsTradeFuturesEarnSquareMore
GM’s major revamp beneath the surface places artificial intelligence and self-driving technology at the forefront

GM’s major revamp beneath the surface places artificial intelligence and self-driving technology at the forefront

Bitget-RWA2025/10/22 15:33
By:Bitget-RWA

General Motors is revamping the core electronics and computing systems in its upcoming vehicles to enable quicker software, enhanced automated driving capabilities, and a personalized, conversational AI assistant.

This transformation will make its first appearance in 2027 with the Cadillac Escalade IQ.

The American carmaker, which revealed these plans during an event in New York City on Wednesday, announced that a new electric framework and centralized computing system will serve as the backbone for all its future gasoline and electric vehicles, beginning in 2028. The next-gen supercomputer, Nvidia Drive AGX Thor, will drive this computing unit, stemming from an expanded collaboration between GM and Nvidia that was revealed in March.

This major internal upgrade is essential for GM to introduce new services and features, such as a conversational AI assistant or technology that lets a vehicle safely drive on highways while the driver watches a film—two innovations GM is developing for future models. It will also allow GM to enhance vehicle performance, resolve issues, or add new infotainment features through software updates—capabilities that will help it better compete with Tesla and the growing presence of Chinese automakers.

Sterling Anderson, GM’s Chief Product Officer, said that since joining the company in May, he has prioritized speeding up the deployment of this new system because it offers significant benefits, such as increased bandwidth and a substantial boost in computing power. This effort is part of his broader mission to deliver advanced technology to customers more rapidly.

“Looking ahead, my main focus for the core business has been on speed, product user experience, and profitability,” Anderson shared with TechCrunch. “We’re examining the company to find ways to drastically shorten the development cycle for our vehicle platforms. Currently, it takes about four to five years. I want to bring that closer to two.”

Today’s vehicles—including GM’s Buick, Chevrolet, Cadillac, and GMC brands—contain dozens of small computers that manage everything from entertainment and safety to propulsion, steering, and braking. The number of these electronic control units (ECUs) has grown over the last decade as automakers have added more features. Tesla, which built its vehicles with a software-first mindset, surpassed traditional brands by offering greater computing power and the ability to deliver new features and performance improvements via wireless updates, much like smartphones.

Traditional automakers have invested years and billions of dollars to close this gap.

There is broad consensus in the industry that part of the answer is to redesign the underlying hardware to support the increasing computational demands of infotainment, safety, and automated driving technologies.

GM is adopting a strategy similar to, but not exactly the same as, the zonal architectures used by Tesla and Rivian. The company plans to merge dozens of ECUs into a single computing core that will manage all vehicle subsystems in real time. This core will link to three aggregators—hubs that translate signals from hundreds of sensors into a unified digital format and send commands back to the appropriate hardware.

In short, the centralized computing system will link every vehicle function—including propulsion, steering, brakes, infotainment, and safety—using a high-speed Ethernet network.

GM’s major revamp beneath the surface places artificial intelligence and self-driving technology at the forefront image 0

GM describes this initiative as a “complete rethinking” of how its vehicles are engineered, updated, and enhanced over time. According to GM, the outcome will be cars with ten times the capacity for over-the-air software updates, a thousandfold increase in bandwidth, and up to 35 times more AI processing power for autonomy and advanced features.

GM has been moving toward this software-driven, reimagined vehicle concept for several years.

In 2020, the company introduced the Vehicle Intelligence Platform (VIP), a new hardware system designed for greater data processing and over-the-air updates. The next year, GM launched Ultifi, a cloud-based, end-to-end software platform that executives said would make vehicles more versatile and allow drivers to access in-car subscriptions and new apps through wireless updates. Although the Ultifi name is no longer used, its software continues to run on GM’s latest models atop the VIP architecture. In 2022, GM furthered its software-focused approach by consolidating multiple infotainment computers into a single platform.

GM says this newest step builds upon all these previous efforts.

0

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

PoolX: Earn new token airdrops
Lock your assets and earn 10%+ APR
Lock now!

You may also like

Bitcoin’s Sharp Decline: What Causes the Price Swings?

- Bitcoin dropped 32% in late 2025, falling from $126,300 to below $86,000 amid macroeconomic pressures and regulatory uncertainty. - Fed rate cut expectations and stalled CLARITY Act legislation fueled investor panic, while 3.1% inflation and disrupted employment data worsened risk-off sentiment. - Institutional buyers accumulated 18,700 BTC in November, contrasting retail-driven selloffs, as Fear & Greed Index signaled extreme bearishness before partial recovery. - Market analysts highlight the need to b

Bitget-RWA2025/11/30 00:22
Bitcoin’s Sharp Decline: What Causes the Price Swings?

Bitcoin Updates: Altcoin Momentum Faces Resistance from Wall Street’s Bitcoin-Linked Structured Products

- Animoca Brands plans 2026 U.S. IPO, shifting focus to altcoins and real-world asset tokenization to attract traditional investors. - Tom Lee revised Bitcoin forecast to $100,000 by year-end, citing market volatility and macroeconomic risks after October's $19B liquidation event. - JPMorgan launched Bitcoin-linked structured notes via BlackRock ETF, reflecting Wall Street's growing acceptance of crypto as a long-term asset class. - Industry trends highlight altcoin diversification, with Animoca's co-found

Bitget-RWA2025/11/29 23:32
Bitcoin Updates: Altcoin Momentum Faces Resistance from Wall Street’s Bitcoin-Linked Structured Products

ZEC Surges 701.51% This Year as Grayscale Files for Zcash ETF and Institutional Demand Increases

- Grayscale filed an S-3 registration with the SEC to convert its Zcash Trust into the first U.S. spot ETF for privacy-focused ZEC, signaling growing institutional adoption. - Zcash's shielded transactions now account for 30% of trades, with 20-25% of its supply stored in encrypted addresses, highlighting demand for privacy-enhanced crypto. - ZEC surged 701.51% year-to-date in 2025 but fell 13.26% weekly, reflecting crypto market volatility despite outperforming Bitcoin and Ethereum . - The pending ETF app

Bitget-RWA2025/11/29 23:22
ZEC Surges 701.51% This Year as Grayscale Files for Zcash ETF and Institutional Demand Increases

Zcash News Today: Crypto’s Schism: Doubt in L1s Contrasted with Growth at the Application Layer

- QwQiao critiques speculative L1 tokens (e.g., Bitcoin , Ethereum) for scalability issues and volatile valuations, contrasting them with utility-driven application-layer innovations. - Application-layer projects like DeFi, NFTs, and privacy-focused Zcash (ZEC) gain traction via real-world use cases, exemplified by Grayscale's ZEC ETF and Bitcoin Munari's structured token sales. - Dynamic tokenomics and institutional adoption (e.g., Ripple's RLUSD approval) highlight shifting priorities toward sustainable

Bitget-RWA2025/11/29 23:00
Zcash News Today: Crypto’s Schism: Doubt in L1s Contrasted with Growth at the Application Layer