TechCrunch Mobility: The AI skills arms race is coming for automotive

The automotive sector is undergoing a significant transformation as artificial intelligence reshapes the workforce landscape. Companies like General Motors (GM) are making strategic changes that involve layoffs in traditional IT roles, with over 600 employees let go as part of a shift towards AI-focused talent. This deliberate skills swap doesn't guarantee a one-for-one job replacement, suggesting potential net job losses despite the company's assurances of hiring new employees with AI expertise. GM's focus is on attracting individuals skilled in AI-native development, data engineering, and cloud-based engineering. The company is not just looking for users of AI but for builders—those capable of designing systems, training models, and engineering pipelines to harness AI's full potential. The trend of job reductions is echoed across the industry, with Ford, GM, and Stellantis collectively cutting more than 20,000 salaried positions, amounting to about 19% of their workforce since the peak employment figures of this decade. These layoffs are largely attributed to technological advancements, notably the rise of AI, which many companies are still trying to effectively integrate into their operations. In contrast, some firms are successfully leveraging AI for new revenue streams. Samsara, for instance, has developed a model that detects potholes using data collected from cameras installed in trucks, which is being marketed to cities including Chicago. Meanwhile, in the realm of funding, Rivian's spinoff, Mind Robotics, recently secured an additional $400 million, highlighting the founder RJ Scaringe’s knack for attracting substantial investment. In total, Scaringe's ventures have garnered around $12.3 billion in funding, not counting Rivian's IPO proceeds and strategic partnerships that could bring in even more capital. Other startups are also making headlines, such as Arkeus, which raised $18 million for its autonomous aircraft software, and Aseon Labs, which unveiled a charging and inspection depot for autonomous fleets. Additionally, Quantum Systems is reportedly in discussions to raise around €600 million with major investors like Airbus. As the industry adapts to these rapid changes, the implications for employment and innovation in automotive technology remain significant. Companies are not only rethinking their workforce strategies but are also exploring how to effectively harness AI to enhance their operations and customer offerings.