Will AI create new entry-level jobs?
Summary
A joint report from Cognizant and Pearson, published July 1, 2026, indicates that artificial intelligence will significantly reshape entry-level employment within five years. The study, which surveyed 750 HR leaders across the U.S., U.K., and India, found that 94% expect AI to create new entry-level roles, while 96% anticipate existing roles will evolve into positions focused on supervising or managing AI systems. A key challenge identified is the lack of adequate AI training, with 46% of companies not providing it despite 91% of workers requesting it. The report also highlights that 69% of HR leaders prefer candidates with broad, interdisciplinary backgrounds, and 97% value soft skills like adaptability and problem-solving for these evolving roles. Middle managers are seen as instrumental in redefining job functions, with over 90% of HR professionals assigning them this responsibility.
Key takeaway
For HR Professionals developing talent strategies, recognize that AI is rapidly redefining entry-level roles. You should prioritize investing in comprehensive AI training programs, as 46% of companies currently lack them despite high demand. Focus your hiring on candidates demonstrating strong soft skills and interdisciplinary backgrounds, rather than narrow technical degrees. Empower your middle managers to lead the redefinition of job roles to ensure successful human-AI collaboration and maintain productivity.
Key insights
AI will transform entry-level jobs into supervisory roles, demanding new skills and organizational adaptation.
Principles
- Entry-level roles will shift to AI supervision.
- Broad, interdisciplinary skills are increasingly valued.
- Soft skills are critical for human-AI collaboration.
In practice
- Prioritize soft skills in early-career hiring.
- Invest in AI training for existing employees.
- Empower middle managers to redefine job roles.
Topics
- AI Workforce Impact
- Entry-Level Jobs
- HR Strategy
- Talent Development
- Soft Skills
- Middle Management
Best for: CTO, VP of Engineering/Data, Director of AI/ML, HR Professional, Executive, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Information and Enterprise Technology News | CIO Dive - Www.ciodive.com.