120,000 Jobs Lost So Far in 2026 Due to AI Automation!
AI automation is clearly impacting jobs worldwide. There is constant discussion and an atmosphere of concern, particularly within the tech industry. Statements from industry experts and tech company owners point in this direction as well. Now, a new report confirms the job losses caused by AI, stating that hundreds of thousands of people have lost their jobs so far this year. This figure is staggering, and the outlook for the future is not promising either. Let’s look at the details.
The impact of AI on jobs remains a constant topic of discussion. Anxiety has once again spread across the tech world in light of ongoing layoffs by tech companies. In this context, a report released by the job-tracking website Layoffs.fyi reveals that 119,494 people have lost their jobs so far this year alone. Tech companies are using AI as a rationale to halt additional hiring and are citing AI-based automation as a primary reason for large-scale layoffs. Thousands of engineers, managers, and support staff are being let go, driven by the rapid adoption of AI-first business models.
The landscape in the AI sector is shifting significantly in 2026. The report indicates that nearly 120,000 employees have been laid off across 219 companies this year. The primary reasons cited for these layoffs include the funding required for expensive AI infrastructure, specialized chips, and automated workflows. To cover these costs, companies are downsizing their workforces and attempting to balance their budgets to accommodate AI investments. Major technology companies are drastically cutting staff numbers to secure funds for AI initiatives. Oracle has garnered the most attention in this regard so far. The company revealed in its annual financial report that it has eliminated 21,000 jobs over the past year, representing a significant 13% reduction in its global workforce. Company leaders stated that these large-scale layoffs were driven by the need to adopt AI technology and rapidly invest in AI infrastructure. The aggressive push towards AI automation has extended far beyond traditional Silicon Valley software companies.
