General Motors Shifts Its IT Departments to AI-Driven Development: Layoffs and New Roles

General Motors is making a sweeping turn in its IT strategy: it is cutting hundreds of employees who maintain traditional systems while opening new positions for engineers with AI skills. This is not just a staffing rotation. It signals a fundamental change in demand for IT skills inside large corporations.

Which roles GM needs

GM is actively seeking specialists in four main areas. First, AI developers and machine learning engineers: people who can build and train neural network systems. Second, data engineers and analysts: specialists who work with large volumes of information, build processing pipelines and prepare data for models. The third area is cloud architects and engineers who design systems on AWS, Azure and Google Cloud. Finally, prompt engineers and AI agent developers: people who work with large language models and build automated workflows.

• AI developers and machine learning engineers
• Data engineers and analysts for large volumes of information
• Cloud architects (AWS, Azure, Google Cloud)
• Specialists in prompt engineering and working with LLMs
• Developers of AI agents and automated workflows

This is a qualitatively different skill set. In the 2000s, GM hired specialists to support corporate ERP systems and network infrastructure. Now the company wants people who can build systems that handle data and AI at the scale of automobile production.

What is leaving the old IT

The cuts hit the bulk of IT staff who maintained legacy systems: network administrators, system administrators and maintenance specialists. For 15-20 years these were considered among the most stable roles in large corporations.

The reason is simple: cloud systems need far fewer people to run. AWS, Azure and Google Cloud automate most of the routine work that hundreds of administrators once did. Companies no longer need armies of IT technicians; they need a handful of skilled cloud architects.

It also reflects a global shift in the IT industry. Simply keeping systems running is becoming a less valuable asset than software development and data analytics. GM is investing in the future, not in maintaining the present.

A wave of reskilling lies ahead

For IT professionals worldwide, this means an urgent need to retrain. Millions of specialists who work with traditional systems today will hear similar signals from their employers. It will be a wave of reskilling comparable to the move from the industrial age to the digital one.

"This is not just a change of technologies.

It is a restructuring of skills in IT that will happen over the next 5-10 years," technology-sector analysts believe.

But it also opens up major opportunities. Engineers willing to learn AI, cloud technologies and data work will be in high demand. Demand for these skills far exceeds supply, and salaries in these fields are rising.

What this means

GM's shift is not an isolated case. Microsoft, Google, Amazon and other tech giants are going through a similar transformation. It points to a long-term trend: AI and cloud technologies are moving from innovation projects into the core IT strategy of large companies. For the auto industry this matters especially: manufacturing depends more and more on data, analytics and automation.