#Futureofwork

A senior technology analyst warns that generative artificial intelligence could trigger a “mass-delusion event” — a shared sense of unreality that challenges society. For Thailand, speeding AI adoption in schools, offices, and daily life makes this warning especially timely. The country’s government and universities are advancing AI strategies, while communities weigh benefits against ethical and social risks.

Leading examples illustrate how AI can blur reality. In a controversial scenario, a deceased teenager’s voice was digitally reanimated for an interview, with family consent but raising questions about consent, dignity, and the boundaries of AI in sensitive moments. Such cases show how AI can tap into grief and emotion, reminding Thai readers to consider cultural and spiritual perspectives on remembrance and representation.

Across Bangkok’s gleaming tech districts and Thailand’s rural villages, a widening educational gap threatens the nation’s digital ambitions. Global analyses show many schools still miss basic computer science instruction, leaving millions unprepared for an economy shaped by artificial intelligence and automation. In Bangkok, a thriving tech scene contrasts with remote provinces where students have far fewer opportunities to develop computational skills.

Data from international assessments reveal that only about half of public high schools in advanced economies provide meaningful computational thinking education, and rural schools face the strongest barriers. In Thailand, urban centers such as Bangkok and Chiang Mai generally offer stronger technology programs, while northeastern provinces and southern fishing communities lag behind. This gap risks turning Thailand into a nation of digital consumers rather than creators, undermining the goal of becoming a regional technology hub.

A new report reveals that half of high schools in New York’s Capital Region do not offer any computer science courses, sparking concern among educators, policymakers, and technology experts about whether students are being adequately prepared for an artificial intelligence-driven future. The findings, published by the Center for an Urban Future, highlight a pervasive gap in foundational technology education just as computational literacy becomes an increasingly essential skill for navigating tomorrow’s job market (Times Union).

In Bangkok’s gleaming technology districts and Thailand’s remote rural villages, a critical educational divide threatens the nation’s digital ambitions. Recent analysis of global education patterns reveals that vast numbers of schools worldwide—including half of all high schools in developed regions—fail to offer basic computer science instruction, leaving millions of students unprepared for an economy increasingly dominated by artificial intelligence and digital automation.

The Center for an Urban Future’s comprehensive report on New York State education exposes a troubling reality that mirrors challenges across Southeast Asia. Despite government rhetoric about digital transformation and Thailand 4.0 initiatives, foundational computational skills remain absent from most Thai classrooms. This educational gap threatens to create a generation of digital consumers rather than digital creators, potentially undermining Thailand’s ambitious plans to become a regional technology hub.

A pivotal debate is unfolding in Thailand: as AI tools increasingly generate code, does traditional computer science education still matter? Industry leaders say yes. They argue that formal CS study remains essential for developing deep computational thinking, robust problem-solving skills, and the ability to design reliable systems—capabilities that go beyond writing syntax. The message carries particular weight for Thailand’s ambitions to grow a resilient digital economy and for thousands of students charting technology careers in an AI-driven future.

Thailand’s students and educators grapple with a fundamental question as artificial intelligence transforms software development: Do traditional computer science degrees retain their value when AI tools can generate code automatically? Recent statements from OpenAI’s leadership provide decisive clarity on this debate, emphasizing that formal computer science education becomes more crucial, not less relevant, as AI reshapes the technology landscape. These insights carry particular significance for Thailand’s digital economy ambitions and the thousands of students considering technology careers in an AI-dominated future.

As artificial intelligence reshapes industries around the world, many students and parents in Thailand and beyond wonder if traditional computer science (CS) degrees remain relevant. Recent remarks by the chairman of OpenAI, one of the leading players in the global AI revolution, offer a reassuring perspective: formal computer science education is still crucial—even as AI tools increasingly automate much of the coding process (Business Insider).

The debate centers on a major change in the way software is built. AI-assisted coding tools such as OpenAI’s Codex, Anthropic’s Claude Code, Cursor, and Replit are designed to let engineers write less code by simply instructing AI systems with prompts and then reviewing the generated output. The vision of a “vibe-coding” future, where coding is driven by natural language rather than technical syntax, is advancing rapidly. At Google, for example, chief executive Sundar Pichai recently revealed that AI now writes 30% of the company’s new code.

Rapid advancements in artificial intelligence are putting a growing number of jobs under threat, according to a newly published analysis by Microsoft’s research division. The study, which has stirred considerable debate in the global workforce, ranks 40 professions most vulnerable to disruption by AI, along with 40 occupations that are currently considered safe from the technology’s reach. As AI-powered applications become increasingly embedded in daily work, the implications for Thailand’s white-collar and blue-collar sectors will be profound—prompting urgent discussions on how the Kingdom can best prepare for this seismic shift.

A recent Microsoft Research analysis identifies 40 jobs most vulnerable to AI disruption and 40 deemed safer—for now. While the study centers on the U.S. labor market, its implications are clear for Thailand’s evolving economy. As AI tools become more embedded in daily work, both white- and blue-collar sectors in Thailand may experience rapid change, calling for urgent action from educators, policymakers, and industry leaders.

Research indicates AI is most likely to affect roles involving digitizable tasks, research, writing, and communication with limited hands-on work. Journalists, data-entry clerks, paralegals, accountants, telemarketers, market researchers, and model developers are among the higher-risk positions. Conversely, jobs that rely on human interaction or physical dexterity—such as massage therapists, construction workers, electricians, engineers, and surgeons—appear less exposed today, though advances in robotics could shift this balance in time. Thailand’s service-oriented economy, alongside growing digital government, finance, and tourism sectors, suggests these dynamics could unfold swiftly in local workplaces, education, and professional training.

During a recent appearance at the Federal Reserve’s Capital Framework for Large Banks conference, the chief executive officer of OpenAI delivered a stark prediction: artificial intelligence (AI) will not only transform work but will completely eliminate entire job categories in the coming years. Speaking candidly before top policymakers and financial leaders in Washington, the CEO emphasized AI’s relentless advance, signaling a fundamental shift in how societies—and economies—must prepare for a labor future remade by technology (The Guardian).

A global shift toward AI in the workplace is not just about productivity. In Thailand, experts warn that collaboration with machines could affect how employees feel and perform. This week, a call for deeper study highlights the emotional and psychological effects of AI-enabled work, especially for roles closely tied to automated systems.

For Thai audiences, the timing is right. Thailand is accelerating digital transformation across manufacturing, finance, and retail. As workers partner with AI and robotics, understanding the impact on mental health and morale becomes essential for policymakers and business leaders shaping the Kingdom’s future.

As artificial intelligence (AI) rapidly integrates into workplaces worldwide, mental health experts and researchers are sounding the alarm on the urgent need to investigate its emotional and psychological consequences. A recent call to action published in Psychology Today argues that while the technological capabilities of AI continue to dominate headlines, its less visible impact on human well-being—particularly for those whose livelihoods are increasingly intertwined with machines—deserves immediate and thorough research (Psychology Today).

As artificial intelligence (AI) rapidly disrupts workplaces worldwide, a new data-driven analysis highlights which professions are most resistant to automation—a question increasingly relevant to Thai job seekers, policymakers, and educators as the digital landscape evolves. The rankings, visualized by Visual Capitalist using data from Esquimoz, underscore that jobs requiring public interaction, emotional intelligence, and hands-on technical skills remain the most protected against AI encroachment Visual Capitalist.

The significance of this ranking resonates strongly in Thailand, a country where economic modernization and workforce adaptability play a central role in national development plans such as Thailand 4.0. As industries integrate AI and automation to boost productivity, concerns have grown regarding the future viability of certain careers. The latest findings offer a reassuring message: not all jobs are equally vulnerable, and those demanding empathy, complex judgment, and direct human involvement are hardest to automate.

A data-driven analysis reveals which professions resist automation, offering guidance for Thai job seekers, educators, and policymakers as the digital economy evolves. Visual Capitalist visualizations, based on data from Esquimoz, show that roles requiring public interaction, emotional intelligence, and hands-on technical skills remain the safest from AI encroachment.

In Thailand, the findings align with modernization aspirations under Thailand 4.0, which prioritizes upskilling and adaptability. As industries adopt AI to boost productivity, concerns about job viability persist. The latest results reassure that some careers stay resilient because they rely on human judgment, empathy, and direct involvement.

The University of Washington’s (UW) Paul G. Allen School of Computer Science & Engineering has become a leading example of how academic institutions are radically rethinking computer science education to meet the demands of the artificial intelligence (AI) revolution—an era where, some argue, “coding is dead” and the value of conventional programming is being transformed by generative AI technologies like ChatGPT. This evolution not only reshapes the way students are taught but also raises urgent questions for Thai educators, institutions, and policymakers about how to prepare local graduates for a rapidly changing job market increasingly shaped by automation and intelligent systems.

A leading American university is reshaping computer science education to meet the AI revolution. The shift moves away from traditional coding toward higher-order thinking, system design, and problem definition. Thai educators, institutions, and policymakers face the same challenge: how to prepare graduates for a job market increasingly shaped by automation and intelligent systems.

AI adoption across sectors is prompting universities to revisit curricula that once focused on syntax and programming. Industry signals and workforce adjustments underscore the real-world impact of this shift. According to the university’s director, the emphasis is transitioning from rote coding to the ability to conceptualize problems, design robust systems, and make nuanced decisions. Thai universities are already digital transform engines for businesses, government, and society, so this approach resonates locally.

Claims that artificial intelligence (AI) could soon replace computer scientists are deeply misguided, according to the latest research published in The Conversation. As anxieties rise about the role of AI in the future of work, particularly in technical professions, this new analysis by a leading academic in the field emphasizes that computer science expertise will remain indispensable for years to come (The Conversation).

The recent surge of generative AI technologies, such as language models and coding assistants, has sparked widespread speculation – including among prominent economists and secondary school advisors – that computer science degrees may be rendered obsolete. These narratives have gained so much traction that some Thai students are reportedly being discouraged from pursuing computer science or software engineering, with fears that AI will make these careers redundant.

A growing body of research argues that artificial intelligence will not replace computer scientists. As worries about the future of work intensify, experts emphasize that deep computer science expertise will stay essential for years to come.

Generative AI has sparked speculation that many tech roles could vanish. Some Thai students, influenced by these narratives, worry that pursuing computer science or software engineering may be risky. Yet recent findings show CS involves much more than coding. It includes designing complex systems, creating new programming languages, and securing digital infrastructures.

A new article published in Psychology Today, titled “Why Systematic Thinking Creates Minds That Mirror Algorithms,” has sparked concern among educators and parents worldwide by suggesting that modern educational methods may be inadvertently stifling creative thinking in students. The research-backed piece points to the risks of prioritizing systematic, algorithm-like problem-solving approaches—a hallmark of many school curricula today—at the expense of nurturing originality and divergent thinking, skills crucial for thriving in a rapidly changing global economy.

A new discussion sparked by a Psychology Today feature questions whether Thai schools, alongside global systems, may overemphasize systematic problem-solving at the expense of creativity. The concern is that rigid, test-driven instruction helps students perform procedures efficiently but may limit divergent thinking and innovative capabilities essential in a fast-changing economy.

In Thailand, the Ministry of Education has long prioritized systematic thinking as a foundation for math and science success. Classrooms often rely on memorization, standardized tests, and formulaic problem-solving rather than open-ended inquiry and collaborative projects. While such methods help achieve solid regional scores, critics argue they can overlook the development of original ideas and flexible thinking needed for entrepreneurship, the arts, and emerging technologies like artificial intelligence.

Universities worldwide are rapidly reimagining computer science education as generative artificial intelligence (AI) technologies such as ChatGPT reshape what future graduates need to know and how they will work. This transformation, driven by rapid advances in AI capable of writing code and performing mid-level software engineering tasks, has ignited a debate among educators about what the foundations of computer science should be in an era where machines can increasingly automate what students traditionally learn (nytimes.com).

A global shift is reshaping computer science curricula as generative AI takes on coding tasks and mid‑level software work. In this new landscape, educators are asking which foundations truly prepare students for a future where machines handle much of traditional learning.

For Thailand, the change is consequential. Computer science underpins digital transformation, job prospects, and policy goals. If international standards evolve, Thailand must adapt its workforce development and education system. The message from Thai and international educators is clear: knowing programming languages alone may not guarantee a strong career. Students need broader capabilities—computational thinking, AI literacy, and clear communication—to stay competitive as AI accelerates software development across sectors.

A senior executive at a major tech company has sparked a national conversation about how AI tools can assist workers facing unemployment. The discussion focuses on large language models like ChatGPT and Copilot to ease cognitive load during job transitions. As layoffs ripple through tech and other sectors worldwide, Thailand watches closely for practical guidance and reassurance.

In Thai culture, losing a job affects more than finances. Work is tied to family stability, social roles, and personal dignity. Navigating this transition requires both emotional resilience and strategic planning for new opportunities.

A leading Xbox executive has sparked debate in the workforce and technology sectors after advocating for the use of artificial intelligence (AI) tools to help laid-off workers manage the emotional and practical challenges of job loss. The executive, speaking candidly about the realities of layoffs in a post on social media, suggested that large language model AI platforms—including ChatGPT and Copilot—can play an integral role in reducing the emotional and cognitive load faced by those navigating unemployment (The Verge).