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The Day AI Melts the 'College Graduate Premium'—The New Graduate Recession and Survival Strategies in an Era Where 'Degrees Alone Aren't Enough'

In 2025, young college graduates in the United States are struggling to find employment like never before.
The formula of 'college degree equals stable job' is beginning to crumble, and the rapid spread of AI is accelerating this trend. Especially now that entry-level jobs are being replaced by AI, the question of whether a college education provides a return on investment is a critical issue affecting the entire economy.

In this article, we will analyze the background of the worsening employment situation for young people from three perspectives: 'AI,' 'structural changes in the labor market,' and 'corporate downsizing of hiring.'


1. The current labor market where new graduates are suffering


1-1. Only the youth unemployment rate is showing an 'abnormal value'

Although the overall unemployment rate in the United States remains low, the unemployment rate for those aged 16 to 24 has remained high at 10.4% as of September 2025.
Even more serious is the situation for 'new college graduates.' They should be the 'safest' workers, yet their unemployment rate is rising.

Economists state the following.

'Young people with college degrees are no longer the "safest workers."'

The background to this includes an increase in the supply of degree holders and a plateau in demand for degree-holding talent. The latter, in particular, is heavily influenced by AI.

1-2. AI is eliminating 'entry-level jobs'

The first jobs to be replaced by the introduction of AI are entry-level positions involving repetitive tasks.

  • Junior engineers writing code

  • Administrative assistant tasks

  • Entry-level marketing research

  • Downstream writing tasks

One young job seeker says this.

'I think AI and machine learning are literally taking away the "entry-level careers" for us new graduates.'

According to research from Stanford University, for young people in 'jobs highly susceptible to AI,' the unemployment rate has worsened by 13% since 2022.

2. Why companies are not hiring young people


2-1. The structure of cutting other departments to invest in AI

An engineer in a video points out the following.

To introduce AI, companies are letting go of talent in other departments and shifting investment toward AI-related divisions.

In other words, companies no longer have the capacity to train young employees.

Furthermore, as AI begins to replace many of the roles of entry-level engineers, the very idea of 'training new graduates from scratch' is no longer rational.

2-2. Is this a reaction to the 'over-hiring of the COVID era'?

Some point out that 'the reason is over-hiring during the COVID period.'
Amazon's employee count grew to 1.6M in 2021 but shrank to 1.5M by 2024. In 2025, they announced an additional 14,000 layoffs.

However, one expert denies this with a strong tone.

'The adjustment for over-hiring was already completed in 2023-24. The deterioration of employment in 2025 has entered a stage where the impact of AI cannot be ignored.'

3. The serious impact of youth employment anxiety on the economy


3-1. The vicious cycle of reduced youth spending → reduced corporate sales → reduced tax revenue

If young people cannot find jobs, the following will deteriorate in a chain reaction.

  • Decrease in consumption

  • Widening wage gap

  • Decline in tax revenue

  • Increased burden of social security

Especially in the United States, the gap is already widening.
According to Oxfam, from 1989 to 2022, the wealth increase of the 'top 1%' was 101 times that of the median.

One expert sounds the alarm.

'The gap is already serious, but it will worsen further in the AI era. It will likely lead to political tension as well.'

4. How to become 'valuable talent' in the AI era


4-1. What is required is 'AI literacy'

According to the job site 'Handshake', entry-level job postings requiring AI skills have increased fivefold compared to 2023.

Recruiters say this.

'We naturally expect young talent to be able to handle AI.'

The required skills are as follows.

  • The ability to use multiple generative AIs effectively

  • Advanced prompt skills

  • The 'workflow design ability' to increase efficiency with AI

Whether or not you can use AI has now become the entry ticket.

4-2. Another Weapon: 'Human Connections'

Career coaches repeatedly emphasize this.

'New graduates who lack internships or a network should prioritize building them immediately. Human connections cannot be replaced by AI.'

Conclusion: An Era Where University Is Merely a 'Starting Point'


It is not that AI is 'killing' the value of university education.
To be precise, it means we have entered an era where 'a university degree alone is not enough.'

The following three things are necessary.

  1. Skills to master AI

  2. Practical ability to combine multiple AI tools

  3. A 'human network' that cannot be replaced by AI

One new graduate speaks optimistically.

'It's tough right now, but I believe this experience will become a strength.'

Now that the value of a university degree is wavering, what is truly being questioned is not the degree itself, but
'whether you can become talent that holds rare value even in the AI era.'

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