Microsoft nets $500M AI savings amid global job cuts: Report
Microsoft reportedly saved over $500 million through AI integration in customer service and engineering while laying off around 4% of its global staff.
Microsoft has reportedly saved over $500 million in operational costs by implementing artificial intelligence tools across its customer support and software development functions. According to a Bloomberg report citing internal company data, these savings are part of a broader move to integrate AI across business operations.
The cost reductions were largely driven by using AI chatbots and automation in call centres, where some customer queries are now handled without human intervention. AI has also been used to generate roughly 35% of the code in certain development teams, contributing to shorter software delivery timelines.
These developments come as Microsoft continues to invest heavily in AI infrastructure while also seeking efficiency across its business units.
Around 9,000 roles affected across departments
The company has laid off approximately 9,000 employees—about 4% of its global workforce—in 2025. These job cuts follow a previous round in May that affected an estimated 6,000 positions.
While Microsoft has not released specific department-level figures, the layoffs have impacted roles across sales, customer support, engineering, and gaming divisions. The move appears to reflect a shift towards a more technically specialised workforce, with traditional sales roles being replaced by “solutions engineers” focused on demonstrating AI capabilities to clients.
A report by Business Insider indicated that Microsoft aims to better align its sales strategy with AI-driven offerings by hiring employees with technical skillsets.
Spending pressure from AI infrastructure expansion
These cost-saving efforts are taking place alongside significant investment in AI infrastructure. Microsoft is expected to spend up to $80 billion (approximately ₹6.6 lakh crore) this year on data centres, AI chips, and supporting systems, according to company sources.
This expenditure is aimed at supporting the growing demand for AI models, cloud services, and enterprise software tools that rely on large-scale computing infrastructure. However, the scale of spending has led to closer scrutiny of operational costs, including staffing.