The tech landscape in 2025 is facing unprecedented turbulence, with mass layoffs continuing to reshape the workforce. So far, over 100,000 tech jobs have been cut globally, impacting employees at major companies including Meta, Google, Intel, IBM, and Microsoft.
This wave of layoffs is largely attributed to corporate restructuring, changing business priorities, and an aggressive pivot toward artificial intelligence (AI) and automation.
Microsoft Cuts Deep in Gaming Division
Microsoft has laid off approximately 9,100 employees, focusing heavily on its Xbox and gaming divisions. While the company remains invested in AI, this move reflects an internal shift away from legacy operations toward next-gen technology and platform development.
Intel Undergoes Global Restructuring
Under the leadership of new CEO Lip-Bu Tan, Intel is in the midst of a massive restructuring plan. The chipmaker is:
Laying off 107 staff at its Santa Clara HQ.
Shutting down its automotive chip unit in Germany, eliminating the entire team.
Planning to cut 20% of its global workforce across departments like cloud architecture and chip design by mid-July.
IBM Automates HR, Cuts 8,000 Jobs
IBM has let go of nearly 8,000 employees, most from its Human Resources department. The company is pushing toward HR automation, relying on AI tools to handle repetitive administrative tasks—reducing dependence on human labor.
Google, Meta, Amazon Also Join Layoff Spree
Google has trimmed several hundred roles from its Platforms and Devices division, while Meta and Amazon have quietly downsized teams across various verticals. Despite layoffs, these firms are simultaneously hiring aggressively for AI-specialized roles, signaling a clear shift in focus toward machine learning, generative AI, and automation-driven innovation.
What’s Next?
While thousands are facing job insecurity, the transition signals a broader industry trend: AI is becoming central to future operations. As companies reallocate resources, professionals are advised to reskill and explore opportunities in AI, data science, and tech infrastructure—areas that continue to see growth.
