The wave of layoffs across global technology giants shows no sign of slowing down in 2025. Microsoft, Salesforce, Oracle, and Tata Consultancy Services (TCS) are the latest to announce large-scale workforce reductions as artificial intelligence reshapes the tech industry.
Salesforce revealed plans to cut hundreds of jobs in San Francisco and Seattle, attributing the decision to its AI platform Agentforce, which is now handling millions of customer support queries. With automation reducing human workload, the company has shifted employees into professional services, sales, and customer success roles but confirmed that active backfilling of support engineers is no longer required. Oracle has also filed notices about eliminating over 250 jobs across Redwood City, Pleasanton, and Santa Clara, alongside further cuts in Seattle.
Microsoft has emerged as the most aggressive, slashing more than 15,000 jobs since May 2025 across product, engineering, gaming, and sales divisions. Despite strong revenues, the company is redirecting billions into AI infrastructure, freeing costs by reducing headcount. India’s IT giant TCS also joined the trend, cutting 12,000 jobs around 2 per cent of its workforce as part of its move towards a “future-ready organisation.”
The broader industry outlook is grim. Intel has announced one of the largest cuts, targeting up to 25,000 employees by the end of 2025. Meta has trimmed 3,600 jobs, with CEO Mark Zuckerberg emphasizing “non-regrettable attrition.” Google continues its restructuring with layoffs across Search, Ads, Engineering, and Marketing, while Amazon has reduced staff in AWS and warned of generative AI reducing headcount further.
Smaller firms are not immune either. Scale AI laid off 200 full-time staff and 500 contractors, while cybersecurity giant CrowdStrike eliminated 500 roles to control expenses. According to industry tracker Layoffs.fyi, over 83,000 tech workers have already lost their jobs across 194 companies in 2025 alone, underscoring the rapid and disruptive impact of artificial intelligence on the workforce. The message is clear: as AI adoption accelerates, companies are prioritizing automation, restructuring costs, and investing heavily in next-gen infrastructure leaving thousands of employees to face an uncertain future in the changing tech landscape.
