Job Cuts in Tech Sector Continue Amid AI Push

Global Technology Sector Update: Job Cuts and AI Adoption

The global technology sector has continued to experience job cuts, with over 35,000 tech employees laid off by 50 companies this year. According to independent layoffs tracker Layoffs.fyi, the data is based on information available up to February 28. The job cuts are largely linked to artificial intelligence (AI) and automation, as companies seek to reduce expenses and adjust to the rapidly changing industry.

Notable Layoffs and Restructuring Efforts

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• Oracle: The cloud software firm is preparing to lay off thousands of employees across several divisions, reportedly as part of efforts to manage a cash crunch linked to its massive spending on AI data centers.
• Block: The company is laying off nearly 4,000 employees as part of an overhaul to embed AI across its operations.
• Livspace: The Bengaluru-based home interior and renovation platform laid off around 1,000 employees in February, citing its goal to transition to an AI-native, agentic organization.
• Amazon: The US online retail and cloud computing giant laid off 16,000 corporate employees in January, as part of efforts to streamline operations amid growing competition in AI.
• Nike: The US-based athletic footwear and apparel company laid off 775 employees in January as the company looks to boost its profit and accelerate its use of automation.
• Meta: The company behind Facebook laid off around 1,500 employees in its Reality Labs division, which works on products including the metaverse, as the company shifts priorities to build next-generation artificial intelligence.

AI Adoption and Job Displacement

Many technology executives have praised the capabilities of AI, with some noting that in certain areas, technology can be more effective than humans. Airbnb's CEO, Brian Chesky, revealed that the company's in-house AI agent now handles about a third of customer support requests in North America. Spotify's co-CEO, Gustav Soderstrom, also noted that AI is now deeply embedded in the music platform's engineering workflow, with minimal human coding required.