AI may improve short-term productivity while quietly weakening the pipeline that develops future experts, managers, and decision makers.
EXPERT OPINION BY SCOTT HUTCHESON, AUTHOR, BIOHACKING LEADERSHIP
AI has been expected to remove some of the bottom rungs on the corporate ladder. As software absorbs routine analysis, research, drafting, and administrative work, companies have had fewer reasons to hire large classes of junior employees. Recent evidence suggests that assumption may be changing. Some major employers are hiring again, and companies using AI extensively are reporting greater demand for entry-level workers.
KPMG offers an especially interesting example. The professional services company recently brought nearly 1,000 interns to its Lakehouse training center in Orlando for intensive development in critical thinking, judgment, communication, and interpersonal skills. KPMG’s own research found that interns ranked critical thinking and problem solving as the most important capabilities they wanted to demonstrate while working alongside AI.
KPMG may be responding to a problem
KPMG may be responding to a problem that extends far beyond accounting and consulting. Entry-level jobs have always produced more than inexpensive labor. They provide the experiences through which organizations create their next generation of experts, managers, and decision makers.
AI can remove the work that teaches people how to work
Consider what traditionally happens during the first few years of a career. Junior employees research unfamiliar problems, prepare first drafts, make mistakes, receive corrections, observe customers, and explain their reasoning to people with greater expertise. Much of that work can look inefficient because learning itself is inefficient.
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Generative AI changes the calculation. A senior employee who once delegated research or preliminary analysis to a junior colleague can now ask an AI system to produce it in seconds. The immediate productivity gain is obvious. The developmental cost is much harder to see.
A recent study of software engineers identified precisely
A recent study of software engineers identified precisely this risk. Researchers interviewed junior and senior software engineers and found evidence that generative AI was absorbing some of the work through which novices traditionally developed expertise. They described the loss of “productive struggle,” the difficult process of working through problems that helps beginners construct the knowledge they later need to solve more complicated ones.
The study is small, involving 14 interviews in South Korea, so its findings should not be treated as proof of what is happening across every profession. It raises an important organizational question, however. If AI continually transfers entry-level work from beginners to experienced employees working with machines, where will future experienced employees come from?
Source: www.inc.com
