According to a Forbes India article, research by IESE Business School shows that AI and hiring trends are reshaping entry-level wages and recruitment as generative AI adoption alters job structures across IT, consulting, and financial services in 2025.
What changed in AI and hiring trends
Companies exposed to generative AI have begun adjusting how they hire. Instead of expanding junior roles, many firms now prioritise mid-level positions. Research analysing data from 138 million U.S. workers found that after the launch of ChatGPT, starting wages in AI-exposed companies declined.Entry-level pay fell the most, while senior compensation remained stable or increased.
The findings suggest that routine cognitive tasks once handled by junior staff are increasingly automated by large language models.As a result, fewer entry-level roles are being created.
Generative AI and employment patterns shift
Early expectations suggested that generative AI would support junior workers. Instead, evidence points to reduced demand for new entrants. Firms in AI-exposed sectors cut the share of junior hires by about four percent. At the same time, the share of mid-level employees rose by a similar margin.
This shift reflects how generative AI and employment structures now interact. As AI handles drafting, summarisation, coding, and basic analysis, companies rely less on entry-level labour for these tasks.
Impact on workers and companies
AI and hiring trends have created pressure across the early career pipeline. Junior employees face fewer openings and lower starting salaries.Displaced entry-level candidates often compete for mid-level roles.That competition increases labour supply at the middle tier and pushes wages downward. Senior professionals experience a different outcome.Research indicates that experienced workers benefit as AI supports complex problem-solving rather than replacing it.Managers also gain importance. Companies increasingly rely on human judgment to guide AI systems and oversee automated workflows.
How the skills pipeline is being redefined
Entry-level roles traditionally served as training grounds.Automation now disrupts that learning phase.Researchers observed declining education requirements for junior and mid-level hires in AI-exposed firms.Senior role requirements remained largely unchanged.
This pattern suggests companies are redefining job titles rather than simply reducing staff. Mid-level roles now include tasks once associated with entry-level learning.According to IESE researchers, this raises questions about long-term skill development. Without early-career exposure, firms may struggle to develop future experts.
What comes next for AI and hiring trends
Companies continue integrating generative AI into daily operations.Hiring structures are adjusting faster than training systems.AI and hiring trends indicate a move toward leaner entry-level hiring. At the same time, demand grows for employees who can supervise, interpret, and direct AI outputs.
Workforce planning now depends on balancing automation with human expertise. How firms manage this balance will shape future employment pathways.
