On May 13, LinkedIn, the global workplace platform, officially announced that it would cut 5% of its global workforce. Approximately 875 employees were affected by the layoffs. The enterprise’s official website discloses that it has more than 17,500 employees worldwide. Although LinkedIn’s latest quarterly revenue posted a 12% year-on-year growth, the company has nonetheless rolled out core business decisions.
An internal memo issued by Daniel Shapero, CEO of LinkedIn, which was reported by Business Insider and Bloomberg, confirms that the company will cut expenditures across multiple fields. These include marketing campaigns, vendor contracts, customer events, and unused office space. He added that the aim is to focus on projects that bring higher impact and stronger returns. Sources told Reuters the layoffs are not directly linked to AI replacing jobs. The move is described as an internal restructuring. The company is shifting employees into areas with higher growth. The job cuts affect different teams. These include the Global Business Organization, engineering, product, and marketing roles.
LinkedIn is part of a wider trend in the tech sector. Many companies are adjusting teams while increasing spending on AI and automation. Even with rising revenue, firms are cutting staff and simplifying structures. Management layers are shrinking. Spending is moving toward long-term technology investment. Other companies have taken similar steps. Meta plans to cut around 8,000 jobs, close to 10% of its workforce. The layoffs are set to begin on May 20.
Block, led by Jack Dorsey, announced earlier cuts affecting about half its workforce. Cloudflare also confirmed reductions of around 20%. So far in 2026, tech layoffs have crossed 103,000 roles. That figure is nearing the 124,000 jobs cut in 2025. The pattern shows a shift in how big tech companies operate. Revenue growth is no longer enough to support stable hiring. Cost control and restructuring now play a bigger role.
LinkedIn’s move fits into this wider industry direction. Companies are reshaping teams while preparing for a more AI-driven business model.
