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[Special Report] Is AI Destroying Jobs or Redefining Work?

How does AI affect U.S., Thailand and S. Korea Young Labor Market?

[Special Report] Is AI Destroying Jobs or Redefining Work?

DAILY NEWS SPECIAL REPORT  

(By Dr. Han Ko | Editor-in-Chief, Daily News)

Is AI Destroying Jobs or Redefining Work?

How does AI affect U.S., Thailand and S. Korea Young Labor Market?

In July 2026, the U.S. unemployment rate stood at 4.1%. On the surface, it suggests a resilient labor market. Beneath the headline numbers, however, nonfarm payrolls dropped by 23,000 jobs, and combined job gains from the preceding two months were revised downward by 103,000.

A far more profound shift is happening away from the monthly headline figures. According to the U.S. Bureau of Labor Statistics (BLS), nonfarm business labor productivity rose by 2.8% year-over-year in early 2026. While business output has expanded at an average annual rate of 2.5% since late 2019, total hours worked grew by a mere 0.4%.

The message is clear: major economies are generating more output while relying far less on labor expansion.

The Rise of AI and the Global Picture

Enter Artificial Intelligence. U.S. Census Bureau surveys indicate that nearly 18% of American enterprises integrated AI into their business operations between late 2025 and early 2026—a figure that leaps to approximately 32% when weighted by employment size.

While official statistical agencies stop short of citing AI as the sole cause of recent employment pullbacks, its role in enabling lean organizations to produce more with fewer hands is undeniable.

The Thai AI Landscape and Economic Reality

This trend is not isolated to Western economies. In Thailand, data from the National Economic and Social Development Council (NESDC) shows that while overall unemployment appears low at 0.94% (Q1 2026), long-term joblessness jumped by 27%. More critically, NESDC studies reveal that 8.7 million Thai workers—representing 21.8% of the national labor force—are directly exposed to Generative AI disruptions.

Among them, 2.2 million workers in routine white-collar roles (such as data clerks, junior accountants, and basic programmers) fall into the "high-risk task replacement" category. Concurrently, global adoption metrics place Thailand’s general population AI usage rate at 10.7%, behind regional peers like Singapore (60.9%) and Vietnam (23.5%). This highlights an urgent need for upskilling before task automation outpaces local digital adaptation.

Eroding the First Ladder of Career Growth

The group facing the greatest structural shift consists of young professionals entering the workforce in the United States, South Korea, Thailand, and beyond.

Historically, entry-level professionals built foundational domain skills through repetitive operational tasks:

  • Document drafting and formatting

  • Initial research and data synthesis

  • Basic financial modeling and code testing

  • Customer support triaging

As generative systems and autonomous AI agents automate these operational steps, the traditional "first ladder" of career entry is weakening. Employers increasingly expect candidates to arrive with higher-level oversight capability on day one.

What Must the Youth Prepare For?

The answer is not simply for everyone to major in Computer Science or AI Engineering. Rather, the future belongs to those who combine AI tools with domain-specific expertise.

Future job creation will center on the intersection of AI and core global industries:

Strategic Focus by Region

  • For Young Koreans: Bridge world-class hardware, semiconductor, and advanced manufacturing sectors with industrial AI applications.

  • For Young Americans: Pair software and AI fluency with domain strengths in healthcare, biotechnology, defense, energy systems, and global financial services.

  • For Young Thais: Leverage AI to transform key national pillars—upgrading hospitality and agricultural value chains, accelerating smart tourism, and transitioning from traditional automotive manufacturing into electric vehicle (EV) ecosystems.

  • For Youth Across Europe, India, South America, and Africa: Apply the same principle: combine local competitive industrial advantages with AI orchestration.

The Core Competency of the AI Era

The most critical career skill moving forward is not staying in one rigid occupation for forty years. It is the ability to re-assemble your skills every time technology leaps forward.

Old Paradigm New AI Paradigm
Single-field specialization Domain Expertise + AI Orchestration
Learning through entry-level manual tasks Accelerated learning using AI co-pilots
Static lifelong skill sets Continuous skill re-assembly
Competing on execution speed Competing on judgment, strategy, and ethics

AI will not erase human work; it will reconstruct industry landscapes and spawn entirely new categories of enterprises.

Rather than asking, "Will AI take my job?", the youth of today must ask:

"How can I use AI to deliver far greater value than was ever possible before?"

The 4.1% U.S. unemployment rate—and the shifting labor dynamics across Asia and Europe—are not mere statistical points. They signal a fundamental shift in how global wealth and value are produced.

The winners of this new era will not be those who try to out-calculate AI, but those who harness it to elevate what remains uniquely human: judgment, strategic creativity, ethical responsibility, and deep domain mastery.

Dr. Han Ko is the Editor-in-Chief of Daily News.

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