Car owners are bullish on AI agents repairing the US auto industry here’s why

SiliconANGLE Media is a recognized leader in digital media innovation serving innovative audiences and brands, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — such as those established in Silicon Valley and the New York Stock Exchange (NYSE) — SiliconANGLE Media operates at the intersection of media, technology, and AI. As the global automotive industry intensifies its focus on intelligent technology, China must accelerate breakthroughs and ecosystem development to maintain leadership in key application areas, an industry think tank said. Typically, automotive product development takes three to four years from concept to launch. To accelerate this process, the company developed solutions that significantly reduce the time required for software development and productisation, bringing it down to just 18 to 24 months. AI can not only accelerate the manufacturing and distribution of parts, but it also has a range of other implications for all players in automotive manufacturing supply chains.

• To accelerate this process, the company developed solutions that significantly reduce the time required for software development and productisation, bringing it down to just 18 to 24 months.
• AI systems, especially utilizing computer vision are helping automate quality control, improving assembly line efficiency, and reducing defects.
• AI can already enhance many parts of the automotive supply chain as it stands today.
• The company says adding Gemini functionality to Android Auto and, later this year, to cars that run Google’s built-in operating system, will make driving “more productive — and fun” in the blog post.
• South Africa’s automotive industry is not only a significant contributor to the nation’s GDP, accounting for around 5% in 2023, but also a key focus for government support through initiatives like the Automotive Production Development Programme (APDP).

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Nvidia’s all-powerful GPUs are believed to be powering about 90% of all AI workloads these days, and that has helped it to become one of the world’s most valuable publicly traded companies. These systems can use data and inputs from a variety of sensors to help predict vehicle behavior and structural integrity, leading to lighter, stronger, and more fuel efficient vehicles. Gemini on Android Auto and Google Built-In will be coming to all countries that already have access to the company’s generative AI model, and will support more than 40 languages. It’s a bold claim to make at a time when people are clamoring for car companies to move away from touchscreens and bring back physical knobs and buttons — a request many of those companies are starting to oblige. Google is bringing Gemini, its generative AI, to all cars that support Android Auto in the next few months, the company announced at its Android Show ahead of the company’s 2025 I/O developer conference. Zhang Yongwei, secretary-general of the China EV 100, highlighted China’s progress in automobile intelligence at an industry forum in Changchun, Jilin province, on July 15.

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The research found that disappointing service experiences led not only to postponed repairs but also to lost brand loyalty. Nearly 1 in 5 American car owners cite disappointing customer service and after-sales support as reasons they have changed car brands, and over 1 in 3 have switched for better technology and features. Automotive manufacturing has many complex processes with many interconnected parts that impact the overall cost and speed of developing and delivering vehicles to market. Vehicle manufacturers are using AI to accelerate the vehicle design engineering process, leveraging generative AI to generate iterations on design ideas and help create innovative and efficient designs. There’s also the rise of driverless robotaxis, which are expanding operation to more cities in 2025. However, as these technologies become more prevalent in vehicles, it falls to automakers and regulators to prioritize safety and security within these AI-powered vehicles.

As South Africa now also pushes for electric vehicle (EV) adoption and the accompanying charging station infrastructure, – the interconnectedness of the auto industry is increasing as AI becomes an essential part of the EV equation too. The widespread adoption of AI in the automotive industry is expected to have a profound impact on consumers, manufacturers, suppliers and regulators. The Audi Q6 e-tron’s AI-powered voice assistant is one of the best and most natural I’ve ever used. More than a few automakers (from Volvo to Ford to BMW and Mercedes) are also using AI technology to provide predictive and contextual information.

ADAS systems monitor the vehicle’s surroundings, detect potential hazards, and provide alerts or even take control in critical situations to increase safety and reduce road trauma. One example of this is something like AI-enabled 3D printing, which, it says, allows for quicker and more accurate production of complex automotive parts, reducing the time and labour required for traditional manufacturing methods. According to AI customer relations firm Salesforce, AI uses algorithms to analyse vast amounts of data to determine how assembly lines could be more efficient, as well as ensuring quality control – making them more productive and cutting costs. Artificial intelligence (AI) is something that not long ago felt like it was something that would happen in the distant future, but in reality, AI is being used across the automotive industry in many ways right now.

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The company believes there’s an opportunity for it to make an impact in the automotive industry, which – just like itself – is desperate to cash in on the demand for generative AI. To enable AI experiences in cars, automotive makers must integrate the hardware that powers them directly into the vehicles they sell, so there could be a lot of demand for a promising chip such as Intel’s. Intel Corp. said today it’s looking to leverage the growing demand for artificial intelligence in the automotive industry, launching its first-ever discrete graphics processing unit for autonomous and intelligent cars at a special event in Shenzhen, China. When you think of AI in the automotive industry, self-driving cars might be the first thing that comes to mine.

The rise of Advanced Driver-Assistance Systems (Adas) and autonomous driving, along with increased digitalisation in manufacturing, can introduce many vulnerabilities. Despite these challenges, the opportunities presented by AI in automotive are immense. As AI technology continues to advance, we can expect that we’ve only scratched the surface of what applications automakers have planned (and have yet to dream up) in the years to come. Robotaxis are cool and all, but what if you want to own your own self-driving car?

AI-driven tools analyze market trends, production schedules, and supplier performance to improve the efficiency of the supply chain, reduce costs, and prevent delays. At the cutting edge of AI-powered manufacturing is the Hyundai Motor Group’s Singapore Innovation Center, a factory without fixed assembly lines. Along the way, AI-powered Boston Dynamics Spot robotic dogs helped human workers with inspection and quality checks, while a complex software allowed just a handful of people to oversee the entire production. “The automation and data analysis made possible by AI have significantly reduced the risk of human error and improved the overall efficiency and effectiveness of automotive supply chain management,” Salesforce says.