Tech layoffs are at their worst since 2023, and AI is a big reason

The tech industry is facing unprecedented job losses, with AI emerging as a significant factor in this upheaval. According to a recent report from Challenger, Gray & Christmas, US tech companies have announced a staggering 52,050 job cuts in 2026, marking the highest level of layoffs seen year-to-date since 2023. March alone saw 18,720 layoffs, a sharp 40% increase compared to the same month last year. Challenger's report highlights a trend where companies are reallocating budgets towards AI investments, often at the cost of human jobs. The firm noted that AI was responsible for 25% of all job cuts in March, making it the leading cause of layoffs across various sectors. Overall, US employers announced 60,620 job cuts that month, a significant drop of 78% compared to the previous year, although the first quarter still reflected a year-over-year decline in overall job cuts. The report does not include Oracle's recent layoffs, as the software giant has not disclosed the number of employees impacted. However, many Oracle workers have shared on LinkedIn that they were part of these layoffs. One former employee expressed concerns about the current state of the tech industry, stating, "It just isn't a good time to be in tech." While Oracle did not attribute its layoffs to AI in its notifications, the move is largely seen as part of a strategy to reduce costs amid a significant AI development phase. Other companies, including Atlassian, Block, and IBM, have cited AI as a reason for their layoffs. The role of AI in these job losses, however, is a topic of contention. OpenAI's CEO, Sam Altman, suggested that some companies might be using AI as a scapegoat for layoffs that would have occurred regardless. Meanwhile, Anthropic's CEO, Dario Amodei, has cautioned that AI could displace up to half of all entry-level white-collar jobs within the next five years. Kathy Ross, a senior director analyst at Gartner, noted that while AI might influence job security, the layoffs are part of a broader strategy to reinvest in AI technologies rather than a direct result of AI advancements. Challenger concluded that while AI is indeed affecting job availability, it cannot entirely replace human roles. The evolving landscape will require workers to adapt, enhancing their decision-making and judgment capabilities as they collaborate with AI systems on increasingly complex tasks.