Generative AI is eliminating or severely reducing entry-level positions across corporate America, effectively removing the first step of the professional career ladder [1, 2, 3].
This shift threatens the long-term talent pipeline for U.S. companies. By automating the foundational tasks that junior employees use to gain experience, firms may struggle to develop the next generation of senior leaders.
Employers are increasingly using AI to automate workflows and cut costs [2, 3, 1]. While some firms are integrating these tools into existing roles, others are removing the positions entirely. At McKinsey & Company, generative AI has become part of the daily workflow for analysts [2].
For many recent graduates, the impact is visible in a lack of responses from employers. One graduate, identified as David, said he sent out more than 1,000 resumes [1]. He received only 14 responses [1]. Of those, David completed four first-round interviews [1] and advanced to second-round interviews for two of those positions [1].
Industry experts suggest the nature of professional growth is fundamentally changing. Aneesh Raman, LinkedIn’s chief economic opportunity officer, said, "AI is killing the career ladder and replacing it with a climbing wall" [3].
This transition creates a contradiction in how the corporate world views the technology. Some reports suggest AI is merely reshaping roles into new skill-based positions [2]. Other data indicates the technology is quietly erasing the bottom rung of the ladder, making entry-level jobs scarce for those without prior experience [1].
“"AI is killing the career ladder and replacing it with a climbing wall,"”
The 'snipping' of the career ladder suggests a structural shift in employment where the barrier to entry is rising. As AI handles the 'grunt work' typically used to train juniors, the gap between an entry-level candidate's skills and a company's needs widens, potentially creating a permanent class of underemployed graduates unless firms redefine how they onboard and train new talent.
