The Claim

The statement under review asserts two things: that employment opportunities in the United States have narrowed since the AI era took hold, and that wages have declined alongside them. The claim has spread widely in Korean online communities among students and early-career workers weighing whether to pursue jobs at U.S. technology companies.

What the Data Show

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The central evidence comes from the Federal Reserve Bank of New York's interactive College Labor Market tracker, which follows labor market outcomes for recent college graduates, including employment, underemployment and wages. The sources reviewed for this verification point in the same direction: the hiring channel for new graduates has contracted, and compensation for those trying to enter the workforce has weakened. This deterioration has coincided with the period in which companies sharply redirected spending toward AI, including large language model (LLM) development, while pulling back on traditional entry-level roles.

Where the Nuance Lies

What keeps the claim from being rated in stronger terms is that the picture is not uniform. The tightening and the wage pressure are concentrated among recent graduates rather than the college-educated workforce as a whole, and the reviewed material indicates that AI-driven restructuring is one of several forces at work rather than the sole cause. The direction of the trend is accurately described; the framing that AI alone explains it is an overstatement.

Why It Matters Here

The findings carry weight for Korean readers watching the global competition for AI talent — from semiconductor giants such as Samsung Electronics and SK hynix to platform companies and startups — as conditions in the U.S. hiring market shape where engineers choose to build their careers.

On balance, the claim that the AI era has narrowed the door to U.S. employment and cut into pay is rated Mostly True.