Entry-level jobs in IT are disappearing primarily because AI is automating the routine and repetitive tasks that these jobs used to handle. AI can now perform work such as basic coding, data entry, customer service, scheduling, and simple research, which traditionally served as stepping stones for new workers to gain experience.​

The rise of AI has led companies, especially in the tech sector, to drastically reduce hiring for junior positions. Many large firms have cut new graduate hiring by more than 50% since 2019, preferring AI-driven solutions to meet business needs instead of investing in training junior talent. This has caused the average age of technical hires to increase, as companies favor experienced workers over entry-level employees.

Reports predict that up to 50% of entry-level white-collar jobs could be replaced by AI within the next 1 to 5 years, with significant disruptions in fields like software development, marketing, customer support, and sales. This trend is expected to cause a sharp rise in unemployment among recent graduates and new workers entering the IT and tech workforce.

AI is also reshaping the nature of entry-level roles rather than simply eliminating all of them. Some jobs now require new skills to work alongside AI tools, particularly roles involving engineering, cybersecurity, and financial auditing. However, the overall hiring for entry-level positions has declined, reflecting an occupational shift where junior tasks are increasingly taken over by AI systems or migrated to other job functions less exposed to automation.

In response, some organizations and educational institutions are emphasizing retraining and upskilling early-career professionals. They aim to equip them with new AI-related and cloud skills to succeed in this evolved job market where many traditional entry-level tasks have been transformed by AI.

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