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While AI is starting to affect some repetitive and entry-level roles, there is still little evidence that it is replacing jobs on a large scale.
AI revolution is real, but its employment impact is unfolding slowly, unevenly, and with far less drama than the headlines suggest. (Representative image: Getty)
The year 2025 was marked by a wave of tech layoffs, with artificial intelligence frequently blamed for the job cuts. From expert panels to social media debates, AI was painted as the biggest threat to jobs. But when you look at the numbers, the story isn’t as dramatic as it seems.
A new report from Oxford Economics claims that AI may not be the main reason behind the current wave of job losses. In a research brief published on January 7, the firm said that although companies are increasingly pointing to AI, most layoffs are still being driven by traditional economic pressures. It added that some firms may be using AI as a way to soften the narrative around earlier over-hiring.
Is AI The Main Reason Behind The Jobs Cuts?
A growing number of firms now cite AI when announcing layoffs. However, Oxford Economics notes that traditional factors—economic slowdowns, cost-cutting, restructuring, and weak demand—remain the dominant reasons behind job losses.
In many cases, AI appears to be a supporting factor rather than the primary cause. Blaming technology can also help companies frame layoffs as innovation-driven rather than financially driven.
While there are signs that AI is beginning to affect certain roles, especially those involving repetitive or entry-level tasks, there is little evidence so far of large-scale job replacement driven by AI.
Data from Challenger, Gray and Christmas shows that job losses linked to AI in the US are increasing. Nearly 55,000 job cuts in the first 11 months of 2025 were blamed on AI, making up most of the AI-related layoffs reported since 2023.
However, these cuts account for just 4.5% of all reported job losses. By comparison, layoffs due to economic and market conditions were far higher, at over 245,000. Overall, with around 1.5 to 1.8 million Americans losing jobs every month, AI-related job losses remain relatively small.
“What’s more, we believe that the extent of job losses attributed to AI is more likely to be overstated rather than understated. Linking job losses to increased AI usage rather than other negative factors like weak demand or excessive hiring in the past conveys a more positive message to investors,” the report stated.
Is AI Replacing Entry-Level Jobs?
One of the reasons why AI is being blamed for job losses is the rising unemployment of fresh graduates. Some evidence suggests firms are using AI tools for tasks that were previously handled by junior or entry-level employees, particularly in research, content, coding, and administrative roles.
However, the report points out that the sharpest rises in graduate unemployment are occurring in economies with weaker labour markets, such as parts of the US and the Eurozone. An increasing supply of newly qualified graduates is also contributing to the trend, making it difficult to attribute the rise solely to AI.
Many claims about AI taking over jobs rely on coincidence rather than clear proof. While graduate unemployment in the US rose after ChatGPT’s launch, the increase has not been unusually sharp and follows a pattern seen in past economic slowdowns.
The trend also began before AI became widespread. Another key reason for rising graduate unemployment is the growing number of degree-holders entering the job market, especially in the US and Europe. When more graduates compete for fewer jobs, even a small slowdown in hiring can push unemployment higher—without AI being the main cause.
How AI Is Shaping Job Market And What’s Next
The Oxford Economics research suggests the AI revolution is real, but its employment impact is unfolding slowly, unevenly, and with far less drama than the headlines suggest.
The report concludes that AI is unlikely to push unemployment sharply higher in the next few years. While job roles will evolve and certain tasks may disappear, the data does not yet support the idea of a widespread AI-led employment crisis.
Rather than mass unemployment, the more immediate challenge may be job transformation. Workers will need to adapt as AI reshapes tasks, skill requirements, and workplace expectations.
That said, the situation could change quickly. If AI capabilities continue to improve and adoption spreads rapidly across industries, its impact on jobs and productivity could become far more visible.
While AI is expected to create new roles over time, the transition may cause short-term job disruption and unemployment. Faster AI adoption could increase this disruption, but it may also boost productivity, control inflation, and raise real wages, helping offset some of the job losses.
January 11, 2026, 11:09 IST
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