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AI-Driven Job Cuts Surge in 2026: Amazon, Meta, UPS Among Firms Restructuring Workforce

Artificial intelligence is accelerating job cuts across sectors in 2026 while also creating new opportunities in emerging roles (Read: AI jobs that are safe and growing in 2026), with major global companies restructuring their workforce as automation replaces repetitive and lower-skilled roles.

More than 35,000 technology-sector jobs have been cut globally in early 2026, according to industry reports, while broader estimates suggest over 55,000 roles were impacted by AI-linked restructuring in 2025, with the trend continuing into this year. The data is based on reporting by Economic Times, Business Insider and CBS News.

Technology firms have been at the forefront of the shift, as AI tools increasingly automate coding, testing and operational workflows. Amazon has cut more than 16,000 jobs as part of restructuring linked to automation and efficiency improvements, while Meta has reduced headcount and redirected investments toward artificial intelligence infrastructure. Block Inc. has eliminated around 4,000 roles, citing productivity gains enabled by AI systems, and Atlassian has cut approximately 1,600 employees. Oracle has also reduced its workforce as part of its shift toward AI-driven cloud services. These developments have been reported by The Wall Street Journal and Economic Times.

As companies reduce hiring, many professionals are turning to independent work and alternative income streams (Read: How to start freelancing in India with zero investment)

Automation is also reshaping logistics and operations, with UPS planning up to 30,000 job cuts as it deploys AI-driven route optimization and operational systems. The development was reported by NDTV.

In the financial sector, Citigroup has announced plans to cut up to 20,000 jobs as part of a broader restructuring strategy involving automation and AI analytics. According to Business Insider, banks are increasingly relying on AI tools for risk analysis, fraud detection and customer insights, reducing the need for large teams in data-heavy roles.

Retail and manufacturing companies are also adjusting workforce strategies as AI tools optimize supply chains and operations. Companies including Nike, Target and Heineken have reported restructuring linked to automation and efficiency initiatives, according to Business Insider.

Experts caution that not all layoffs attributed to artificial intelligence are solely driven by the technology. The term “AI-washing” has been used to describe cases where companies cite AI as a primary reason for layoffs while also pursuing cost-cutting and broader restructuring measures. This trend has been highlighted in reporting by NDTV, though analysts note that AI remains a significant underlying factor accelerating workforce changes.

Roles involving routine and predictable tasks are among the most affected, including data entry, customer support, basic content creation and entry-level software development. At the same time, demand is rising for roles that require advanced skills, including artificial intelligence specialists, data analysts, product managers and creative professionals.

In India, the shift is being felt across the IT and services sectors, with slower hiring of fresh graduates, reduced demand for entry-level roles and growing emphasis on specialized skills. Industry observers note a parallel rise in freelancing and remote work opportunities as companies seek flexible, skilled talent.

Analysts expect AI-driven restructuring to continue over the next few years, with companies becoming more efficient and less reliant on large workforces. The trend is likely to result in fewer entry-level jobs, higher salaries for skilled professionals and continued growth in freelance and gig-based work.

Disclaimer

This report is based on publicly available data, company announcements, and reporting from multiple global news organizations. Job cut figures and reasons may vary across sources, and not all layoffs are solely attributable to artificial intelligence, as broader economic and strategic factors may also play a role.

Sources & References

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