Independent · Evidence first
Digital editionSource-linked briefings
Reading guide · Business

General Motors accelerates vehicle development with AI

General Motors aims to reduce its vehicle development cycle to as little as two years with the help of artificial intelligence and software, according to reports from CNBC and NYT.

Published
A guide to the original briefing

This page reflects the underlying published article; it does not claim a second independent fact-check. Figures and developing reports may change. Always consult the article, source links and correction history.

At a glance

General Motors aims to reduce its vehicle development cycle to as little as two years with the help of artificial intelligence and software, according to reports from CNBC and NYT.

What the briefing reports

General Motors is targeting a significant reduction in its vehicle development cycle, aiming to develop vehicles in as little as two years. This goal is driven by the company's expanded use of artificial intelligence, simulation, and vehicle software, as reported by CNBC.

The move is seen as an effort to keep up with Chinese companies that are known for introducing new vehicles quickly, as noted by the New York Times. General Motors' plans involve leveraging AI and software to accelerate the development process, although specific details on how this will be achieved are not provided in the available reports.

The company's efforts to cut vehicle development time in half are part of a broader strategy to enhance its competitiveness, particularly in the electric vehicle market. As General Motors pushes forward with its plans, the next steps will likely involve significant investments in AI and software technologies, as well as potential partnerships or collaborations to support its accelerated development goals.

Cited sources

  1. cnbc-business
  2. nyt-business

Compare the original source records →

Updates and corrections

This is a structured reading view. Check the original article for subsequent changes and documented corrections.

Related subjects

Stories grouped by subject are not necessarily the same event.