#LaborMarket

A seismic shift is quietly reshaping the global technology labor market, with Thailand’s ambitious digital transformation goals colliding headfirst with an artificial intelligence revolution that’s already eliminating entry-level opportunities for young professionals. Goldman Sachs economists have documented the first measurable impacts of generative AI on employment patterns, revealing that workers under 30 in technology fields are experiencing unprecedented displacement as companies discover they can automate tasks previously requiring human expertise. This trend arrives at a particularly challenging moment for Thailand, where government initiatives to build a digital economy depend heavily on cultivating local tech talent just as those pathways become increasingly automated.

The introduction of generative artificial intelligence (AI) is already beginning to shift the landscape of the global labor market, with young technology workers experiencing the first tangible impacts, according to the latest analysis from Goldman Sachs economists. While sweeping workforce changes have yet to occur, new research and employment data suggest that AI is quietly, but unmistakably, starting to reshape hiring practices and job security—particularly among early-career employees in the tech sector (CNBC).

Recent research has upended long-standing assumptions about the career prospects of different university majors in the United States: recent statistics show that computer engineering graduates now face an unemployment rate of 7.5%, more than double the 3% rate reported among art history majors. This surprising trend, which challenges conventional wisdom that STEM fields offer greater job security, emerged from data cited in several news reports published in May and June 2025, including those by the Times of India, VN Express, and technically-oriented education outlets (The College Fix; Times of India; VN Express).

Artificial intelligence (AI) is poised to reshape the global workforce far more swiftly and pervasively than many once imagined, according to a new analysis by leading researchers published in the Harvard Business Review. Based on current developments in AI technology—not hypothetical future advances—the report highlights that any aspect of work that can be measured is vulnerable to automation, sparking a wave of change through both creative and traditionally “safe” professions worldwide.

A wave of concern has swept through global education and tech circles as new research highlights an unexpected backlash against the widely promoted “learn to code” movement. Computer science, once championed as a surefire path to security and prosperity, has become a cautionary tale as recent university graduates face a sudden spike in joblessness, surpassing many of their non-technical peers and igniting deep conversations in Thailand about the future of digital education and the realities of the job market (Futurism).