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Economics Olympiad Blot 2
Economics Olympiad Blot 1

Resources

Below you will find a resource list and a sample question and answer. 

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While you are not responsible for knowing every one of the sources listed below, familiarity with well established economic sources will help you begin your research. 

Resource List

Core Economic Texts

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  • The Wealth of Nations – Adam Smith  (1776)

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  • The General Theory of Employment, Interest and Money – John Maynard Keynes (1936)

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  • Capitalism and Freedom – Milton Friedman– (1962)

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  • Development as Freedom – Amartya Sen (1999)
     

  • Capital in the Twenty-First Century – (Thomas Piketty (2013)

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  • Why Nations Fail – Daron Acemoglu & James Robinson (2012)

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Modern & Interdisciplinary Speeches and Reports

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Videos, Podcasts, and Movies

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Ted Talk

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Podcasts

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  • Freakonomics

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  • Planet Money

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Youtube Channels

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Sample Question & Answer

"As AI replaces both low-skill and high-skill jobs, will it widen or shrink the global wealth gap and what should governments do about it?"

The Age of Automation

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The rise of artificial intelligence (AI) has been likened to the Industrial Revolution in its potential to reshape economies, redefine labor, and reorder the global distribution of wealth. Unlike past technological shifts, AI threatens not just manual labor but white-collar professions once thought secure, from law to finance to medicine. After much research it is clear that without intentional policy, AI will likely exacerbate inequality; but with smart regulation, investment, and redistribution, it could also lay the foundation for a more inclusive global economy.

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A New Kind of Disruption

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AI differs from previous technologies in both scope and scale. While the steam engine and electricity revolutionized physical labor, AI targets cognitive skills, an area that spans both low-skill (e.g., data entry, customer support) and high-skill jobs (e.g., legal research, medical diagnostics). According to a 2023 Goldman Sachs report, AI could impact 300 million jobs globally, replacing tasks rather than whole jobs, but reducing labor demand across sectors.

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This disruption benefits those who own or control AI systems, typically wealthy tech companies and individuals. AI-generated productivity leads to higher corporate profits, but unless this wealth is redistributed, it will concentrate even more income in the hands of capital owners, widening the gap between the rich and the rest. The IMF notes that income inequality tends to rise during technological transitions, particularly when workers lack the skills to adapt.

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Who Wins, Who Loses?

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Workers with adaptable, creative, or managerial skills, those who can work with AI rather than be replaced by it, are likely to thrive. In contrast, both low-wage service workers and high-paid professionals in repetitive roles face displacement. For example, AI-powered legal tools can draft contracts in seconds, undermining the need for junior associates. Meanwhile, warehouse and delivery jobs face automation via robotics and self-driving technology.

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However, some sectors, particularly those rooted in human empathy or physical presence, like caregiving, education, or healthcare, may grow as demand shifts. The World Economic Forum estimates that while AI may displace 85 million jobs by 2025, it could also create 97 million new ones. Yet if these new jobs require skills that only the already-privileged can access, the wealth gap may grow even if employment stabilizes.

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What Should Governments Do?

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Addressing the economic inequality AI threatens requires proactive policy. Governments can intervene by: investing in education and reskilling. Governments must prioritize lifelong learning and upskilling, particularly in digital literacy, critical thinking, and creative problem-solving, skills less easily automated. Singapore’s SkillsFuture program offers a model, providing citizens with education credits they can use to upskill throughout their careers.

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Redistributing gains from capital. As AI centralizes wealth among tech elites, governments can rebalance this through progressive taxation on corporate profits, capital gains, and data usage. A “robot tax,” proposed by Bill Gates, would require companies to pay taxes on automation systems that displace human workers funding social safety nets or re-skilling initiatives.

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Strengthening the social contract. A reimagined welfare state, including universal basic income (UBI), universal healthcare, and job guarantees, could provide a cushion for those transitioning between careers or excluded from the new economy. While UBI remains controversial, pilot programs in Finland and parts of the U.S. have shown improvements in well-being and mental health, if not yet conclusive economic mobility.

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Promoting ethical and inclusive AI development. Governments can guide AI design to serve broader society, not just corporate interests. This includes enforcing anti-bias protocols in algorithms, ensuring AI access in underserved regions, and promoting public-private partnerships that democratize innovation.

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Technology Is Not Destiny

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AI’s impact on inequality is not predetermined. Left unchecked, it will likely magnify existing disparities by rewarding capital and marginalizing unskilled labor. But with thoughtful policy, strategic investment, and ethical governance, AI can become a tool for shared prosperity. The challenge is not just economic, it is deeply moral.

Anti-Plagiarism Policy

 

Zero Tolerance for Cheating

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All essays debate research must reflect the student’s own work. Any instance of plagiarism, AI-generated content without disclosure, or unauthorized collaboration will result in disqualification. Submissions will be reviewed with advanced plagiarism and authorship detection tools.

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