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

General Motors recently carried out a large-scale layoff in its information technology department, affecting about 600 salaried employees. This layoff accounted for more than 10% of the total number of employees in the department, aiming to make room for new talent with backgrounds in artificial intelligence.

The company officially confirmed this change and said it was to drive the transformation of the IT organization. General Motors stated that through this adjustment, the company would be in a more favorable strategic position in future market competition.

Reengineering the Team's Genetics

According to insiders, General Motors has not stopped hiring for IT positions, but the required skills have undergone a fundamental change. The most favored abilities currently include native AI development, data engineering analysis, and cloud-based engineering technologies.

Companies are seeking senior talent capable of building AI systems from the ground up, rather than ordinary employees who simply use AI tools. The focus of recruitment has shifted toward agent development, model engineering construction, and the redesign of AI-native workflows.

Signs of Industry Transformation

This is not the first time General Motors has adjusted its workforce structure; the company had previously laid off employees due to a slowdown in demand for electric vehicles. This precise restructuring of the IT department reflects the widespread anxiety and decisive choices of large enterprises in the face of the intelligent revolution.

General Motors' restructuring initiatives send a strong signal to the industry that companies are starting from scratch to adjust the skill composition of their workforce. This marks the shift of AI from being an auxiliary tool for enterprises to becoming the foundational cornerstone driving core business logic.

Breaking the Technology Black Box: Shanghai AI Lab Overcomes the Challenge of Preparing Photoresist for Chip Manufacturing

The Shanghai Artificial Intelligence Laboratory has successfully solved the challenge of stable preparation of high-end KrF photoresist resin by combining the "Shueng" scientific large model and automation platform with multiple research institutions. This marks a major breakthrough in the core material field of chip manufacturing. The technology breaks the traditional trial-and-error approach, significantly improving R&D efficiency. Key indicators of related industries have met expectations.

Baidu Releases Ernie5.1: Pre-training Cost Drops by 94% and Performance Rises to Top Four in Global Search Rankings

Baidu released its new language model Ernie5.1 on May 11, 2026, based on the pre-trained foundation of Ernie5.0 with 2.4 trillion parameters. Through a 'one-time elastic training framework', it achieves single training optimization for multiple model sizes, with pre-training cost only 6% of similar models. As of May 9, the model ranked fourth globally and first in China on the Arena Search ranking with 1223 points, demonstrating high resource utilization and performance balance.

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

General Motors confirmed on May 11 that it has laid off approximately 600 IT salaried employees (over 10% of the workforce), in order to free up resources for hiring professionals with strong AI backgrounds. This move marks an accelerated strategic shift from 'AI tool application' to 'AI-native development,' not just a simple reduction in staff, but a precise skill adjustment in response to evolving technical stacks, with a focus on recruiting AI-native talent.

OpenAI Launches Daybreak Project: Redefining the Software Security Development Process

OpenAI launched the Daybreak project on May 12th, aiming to enhance enterprise software security defense by moving risk checks to the early development stage, rather than only fixing issues after deployment. Key highlights include: embedding network defense mechanisms in the coding phase, real-time identification of potential threats; competing with Anthropic's Glasswing, emphasizing process integration; strengthening risk management in daily code development.

SoftBank Launches Battery Business in Japan to Support Power Demand for AI Data Centers

SoftBank Group announced the launch of its battery business in Japan, focusing on the research and development and production of battery cells and energy storage systems. The facility will be located in the former Sakai factory area of Sharp in Osaka, and a large AI data center park is planned. The business is expected to start operations in fiscal year 2028 with capacity in the gigawatt-hour range, initially supplying its own AI data centers before expanding to the market. This move aims to meet the growing power demand for AI data centers.