General Motors IT Department Reduces 10% Workforce, Focuses on Hiring AI-Native Developers and Model Engineers

On May 11, General Motors confirmed that it has implemented a large-scale layoff in its IT department, cutting about 600 salaried employees (more than 10% of the total), in order to free up resources to hire professionals with deep artificial intelligence backgrounds. This move marks the company's accelerated shift from "AI tool application" to "AI-native development" as part of its strategic transformation.

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This round of layoffs is not merely a reduction in manpower but a precise "skill adjustment" aimed at technological evolution. General Motors revealed that the company is currently focusing on hiring experts in fields such as AI-native development, data engineering, cloud engineering, agent development, and model engineering. Unlike the previous approach of viewing AI as an auxiliary tool, General Motors' current goal is to achieve full in-house development of AI systems, including the design of underlying architectures, model training, and workflow construction.

In fact, since Sterling Anderson, co-founder of Aurora, took over as Chief Product Officer in May 2025, the software organizational structure of General Motors has experienced significant turbulence. In August 2024, the company cut around 1,000 software employees; in November 2025, three senior executives, including the former Chief AI Officer Barak Turovsky, left collectively. Subsequently, the company quickly filled the technical leadership vacuum by bringing in Behrad Toghi, former head of AI at Apple, and Rashed Haq, former AI head at Cruise.

General Motors' restructuring efforts reflect a common consensus among traditional heavy industries during the period of intelligent transformation: pure softwareization is no longer sufficient to support future competitiveness. By fundamentally reshaping the workforce structure and embedding AI capabilities into autonomous driving, smart cockpits, and production processes, companies are completing a deep transformation from digitalization to intelligentization. This is not just an iteration of skill reserves, but also a redefinition of the future form of enterprise organizations.

General Motors IT Department Undergoes Major Restructuring: Laying Off 600 Employees to Make Room for AI Positions

General Motors recently laid off approximately 600 salaried employees from its information technology department, accounting for more than 10% of the department's total staff. The move aims to make space for new talent with backgrounds in artificial intelligence, driving the transformation of the IT organization. The company officially confirmed the change, stating that it will enhance competitiveness in the future market. Despite the restructuring, IT job recruitment has not stopped, reflecting the focus of the strategic adjustment.

Fuyao University of Science and Technology Officially Launches Five Emerging Undergraduate Majors: Future Robotics, Artificial Intelligence, etc.

Fuyao University of Science and Technology will add five new undergraduate majors in 2026: Future Robotics, Artificial Intelligence, Intelligent Vehicle Engineering, Biological Sciences, and Digital Economy, aiming to adapt to technological development and cultivate innovative practical talents. Among them, the Future Robotics major is the first cross-disciplinary program, which has attracted great attention. Previously, the university had already been approved for four undergraduate majors in 2025.

China Mobile Launches the World's First AI-eSIM Multi-Ecosystem Intelligent Service System

China Mobile launched the '1+3+9' multi-ecosystem intelligent service system at the AI-eSIM forum during the Mobile Cloud Conference, with the theme 'AI-eSIM: Pioneering a New Era'. The system aims to provide more secure, low-cost, and flexible intelligent connectivity and AI services. Deputy General Manager Chen Huida stated that this move responds to the country's 'Artificial Intelligence+' strategy, using AI-eSIM to build a multi-ecosystem service model, promoting intelligent upgrades for To-end users.

Arm expects AI chip sales to reach $2 billion next year

British semiconductor company Arm announced that its first self-developed AI chip is expected to generate $2 billion in sales next year, as market demand is strong. This move marks a significant breakthrough for Arm in the AI field. As a subsidiary of SoftBank, Arm holds a key position in the global semiconductor market, with its technology widely used in electronic devices. The launch of the new chip comes at a time when AI technology is rapidly developing and the demand for high-performance computing is increasing.

China's AI data volume is expected to reach 199.48 EB by 2025, with a year-on-year growth of 42.86%

According to data from the National Data Administration, by 2025, the total volume of AI training and inference data in China is expected to reach 199.48 EB, representing a year-on-year growth of 42.86%. Among this, inference data has exceeded training data for the first time, reaching 101.34 EB, indicating the wide application of AI across industries. At the same time, the data volume generated by system software and AI is expected to reach 26.92 ZB.