"Entry-level workers are usually paid the least, meaning getting rid of their positions first in favor of higher-paid senior talent is not a cost-effective strategy, he noted. Moreso, these fresh-faced young workers are likely recent college graduates with energy, excitement, and deep familiarity with AI tools. Eliminating them, in Garman's eyes, would be myopic. "At some point that whole thing explodes on itself," Garman said."
"A Stanford University study published in August suggested AI is already starting to have its way with entry-level workers. The research revealed that "the AI revolution" is having a "significant and disproportionate impact on entry-level workers in the U.S. labor market," particularly 22- to 25-year-old software engineers and customer service agents. Despite Garman's adamance on AI not replacing young workers, Amazon's own automation advancements have coincided with the company laying off thousands of employees this fall."
Replacing junior software developers with AI is a short-sighted, cost-ineffective business strategy. Entry-level workers are usually paid the least, so eliminating their positions first in favor of higher-paid senior talent reduces cost-effectiveness. Early-career employees often bring energy, excitement, deep familiarity with AI tools, and serve as a talent pipeline that generates innovative ideas. A Stanford University study published in August found that the AI revolution disproportionately impacts entry-level U.S. workers, especially 22- to 25-year-old software engineers and customer service agents. Major automation efforts have coincided with large layoffs at some tech companies, including thousands of job cuts across multiple divisions.
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