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Global Tech Leaders Call for AI Lessons in Primary Schools, Highlighting Urgent Educational Challenges

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A remarkable coalition of over 250 CEOs—including leaders from Microsoft, Airbnb, and Uber—has issued a joint call urging policymakers to make computer science and artificial intelligence (AI) education a mandatory part of school curricula in the United States. Their concerns arise as China directs children as young as six to attend formal AI classes, fueling fears that nations lacking such initiatives may fall dangerously behind in global technological competitiveness (Fortune).

The move, which has sparked global debate, underscores the significance of teaching foundational digital skills to the next generation. In an open letter addressed to U.S. lawmakers, the tech executives collectively warned, “In the age of AI, we must prepare our children for the future—to be AI creators, not just consumers. A basic foundation in computer science and AI is crucial for helping every student thrive in a technology-driven world. Without it, they risk falling behind.” According to their estimates, universal exposure to tech education could unlock over $660 billion in economic potential annually and increase students’ future wages by around 8%, irrespective of college attendance or career path.

Why does this news matter to Thai readers? Thailand’s own education system has faced international scrutiny over its readiness for the digital era, with recent government strategies aiming to integrate coding and digital literacy into classroom instruction. As neighboring countries like China and South Korea accelerate access to AI education, the global trend presents both opportunities and urgent imperatives for Thailand’s policymakers, families, and educators.

China, in particular, has set a bold precedent: in Beijing, primary and secondary schools are scheduled to deliver at least eight hours of AI classes every academic year. Students as young as six are beginning to learn not only how to use chatbots or practical AI tools but also delve into the ethics underpinning AI systems. On a similar trajectory, South Korea intends to have all teachers equipped to apply AI technologies in classroom settings by next year and has already started distributing AI digital textbooks in wide-ranging subjects, from English to mathematics.

By comparison, the United States—even after President Donald Trump’s executive order pushing for AI literacy—has implemented mandatory computer science graduation requirements in only 12 states, with just 6.4% of high school students enrolling in computer science courses last year. Leading voices in technology agree that without sweeping intervention and classroom reform, Western nations risk ceding technological leadership to Asian countries investing in AI education from the earliest stages of schooling.

Industry consensus also points to the growing workplace relevance of AI skills. In recent analyses by LinkedIn and the World Economic Forum, AI literacy is now considered the fastest-growing workplace competency. OpenAI’s chief executive recently asserted in an interview, “The obvious tactical thing is just get really good at using AI tools. Like when I was graduating as a senior from high school, the obvious tactical thing was to get really good at coding, and this is the new version of that.” Meta’s chief executive added on a widely followed podcast that higher education is no longer effectively equipping students for the rapidly evolving job market, raising questions about student debt and the relevance of many conventional degree programs.

The campaign, coordinated by Code.org and championed by its president, has found an attentive audience among educators and business leaders, but consensus on the best approach remains elusive. While global leaders call for broad implementation of AI literacy, education experts emphasize the need for careful curriculum design—including ethical considerations, digital citizenship, and gender inclusivity—to avoid further widening digital divides.

For Thailand, adapting such progressive models could yield clear economic and social dividends. According to recent studies by the Ministry of Higher Education, Science, Research and Innovation, Thailand faces an acute shortage of digital talent, particularly in data science and machine learning roles. Despite government pledges to promote STEM education, the majority of rural schools still lack the digital infrastructure, trained personnel, and resources to provide comprehensive computer science and AI instruction (UNESCO Bangkok).

Notably, the country’s latest Digital Economy and Society Development Plan explicitly names AI and emerging technologies as strategic priorities. The National Science and Technology Development Agency has piloted small-scale AI and robotics curricula in select urban schools, but scaling such efforts nationwide remains difficult—especially amid budget constraints and teacher capacity gaps. Meanwhile, private international schools in Bangkok and Chiang Mai are already experimenting with coding, robotics, and AI workshops for primary schoolchildren, though access remains uneven across socioeconomic groups (Bangkok Post).

As these global developments unfold, Thailand’s cultural reverence for formal education and the high societal value placed on academic achievement provide a strong foundation for reform. However, experts caution that enthusiasm for digital transformation must be balanced with pragmatic steps: ongoing teacher training, investment in digital tools, curriculum revision, and robust public-private partnerships.

Looking ahead, several future scenarios emerge: If Thailand can accelerate curriculum reform and ramp up teacher preparedness, it may capture new opportunities in the fast-growing regional digital economy, reduce youth unemployment, and encourage local innovation. Failing to act, however, may risk leaving Thai students less competitive in the 21st-century workforce and deepen educational inequalities between urban and rural communities.

Practically, Thai readers—especially parents, students, and educators—can support these changes by advocating for school-level digital programs, participating in free online AI and coding courses (such as those from Code.org and Coursera), or pressing local education authorities for transparent AI curriculum policies. Policymakers are also advised to consult with international experts, local edtech startups, and teacher associations to ensure AI literacy is inclusive, ethical, and future-ready.

As the world’s brightest innovators and most powerful corporations call for urgent AI education reform, Thailand stands at a crossroads: whether to build a generation of AI creators—or risk falling behind as mere digital consumers.

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