AI Exposes the Absurdity of Japan’s 'New Graduate Myth'

 

Read the original article (in Japanese):

“新卒いらず”が現実に──AI時代、Z世代はどうキャリアを築くか | AMP[アンプ] - ビジネスインスピレーションメディア

The End of Entry-Level Work

AI is rapidly taking over tasks that once defined entry-level jobs—report writing, customer service, document summaries, and meeting notes. These were once rites of passage for new hires, but now they are performed faster and more accurately by machines. For companies, the incentive to “train from scratch” is eroding. And so too is the belief in the inherent value of hiring someone simply because they are “new.”

This shift, however, should not be feared. It marks the beginning of a merit-based era, where actual skills and adaptability determine one’s role—not just age or academic background. AI is dismantling hollow traditions, and among them is Japan’s deeply ingrained “fresh graduate” myth. That myth—where youth alone was considered an asset—is now crumbling under the pressure of automation and efficiency.

High Salaries Without Real Value

Ironically, while entry-level tasks are disappearing, salaries for new graduates are rising. Some companies now offer ¥300,000 to ¥400,000 starting salaries, hoping to win talent in a shrinking labor market. But these numbers often come without matching responsibilities. High pay without clear expectations or real authority creates a structural imbalance.

Mid-level employees, who have spent years contributing steadily, are often asked to mentor these higher-paid newcomers. This imbalance breeds resentment. When pay and responsibility don’t align, trust erodes. Productivity suffers, and morale declines. What was once a shared journey of growth becomes a hierarchy of confusion and quiet frustration.

What Salary Is Supposed to Mean

Historically, “salary” comes from the Latin salarium, referring to the salt given to Roman soldiers—a vital and earned resource. It was compensation for service, risk, and responsibility. That principle still applies: pay must reflect performance and accountability.

Giving high salaries to those with no track record and shielding them from responsibility violates this principle. In doing so, companies undermine the meaning of compensation and damage the culture they rely on.

Education Must Adapt

Universities in Japan have long been treated as safe havens for self-exploration—four-year pauses before joining the workforce. But in an AI-driven era, this model is unsustainable. Universities must become places of preparation, not shelter. Students must engage in practical, socially relevant learning that builds market value before graduation.

Education is not separate from society. It is part of it—and must produce people who can contribute meaningfully. Otherwise, students who emerge unprepared will be quickly outpaced by automation and those who used their time to gain real-world skills.

The Collapse of the "Fresh Graduate" Privilege

The social construct of the fresh graduate—a protected, inexperienced worker granted opportunity by default—is vanishing. That may seem harsh, but it’s actually a step toward fairness. The new standard is not “Are you new?” but “What can you do?”

This shift places responsibility on both sides:

For companies:

  • Don’t offer high salaries without setting high expectations.

  • Reinvest in mid-level talent who carry the real load.

  • Hire for value, not for age or formality.

For young people:

  • Don’t expect rewards just for graduating.

  • Prove your ability before asking for compensation.

  • See education as preparation, not escape.

A Reality Check, Not a Crisis

AI is a reset button. It forces a recalibration of values long distorted by tradition and inertia. In exposing the hollowness of new graduate privilege, it creates space for something better—a system that rewards contribution, not just potential.

It’s not the end of opportunity. It’s the beginning of a system where opportunity must be earned.


Read in Japanese↓

AIが暴く、企業の『新卒神話』の滑稽さ（2025.6.16）

Read more articles (in Japanese)↓

「真面目さ」も売り物にする商売上手になれ（2025.6.13）

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