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Keith Lee

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Keith Lee is Professor of AI and Finance at the Gordon School of Business, Swiss Institute of Artificial Intelligence (SIAI). His primary research lies in financial mathematics and AI-driven computational science, with a focus on quantitative modeling of complex economic and financial systems. His work integrates machine learning, stochastic modeling, and data-centric methods to study structural transformations in markets and institutions.

His recent work examines the broader socioeconomic consequences of artificial intelligence, including labor markets, public finance, demographic change, institutional adaptation, and the distributional effects of technological progress.

He holds a PhD in Mathematical Finance from Boston University, and previously earned an MSc in Finance and Economics from the London School of Economics. He completed his undergraduate studies in Economics at Seoul National University under the Korea Foundation for Advanced Studies scholarship program.

Keith Lee

Technological adaptability differs sharply across individuals, making averages misleading Social and economic factors determine who can realistically reskill Policy must target adaptability gaps, not average exposure When ana

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Keith Lee

HAIP faces pressure as national AI governance models increasingly diverge China’s state-led approach changes the incentives for voluntary global standards Without economic rewards, HAIP risks losing durability in strategic competition

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Keith Lee

HAIP increases transparency but does not yet change behavior Voluntary reporting without incentives becomes symbolic Real impact requires linking HAIP to audits and procurement By June 2025, the OECD reported

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Keith Lee

The collapse of marginal costs is enabling one-person companies to compete at scale AI and platforms are reshaping firm boundaries, productivity, and market structure Policy must adapt to support solo firms while limiting new platform bottlenecks

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Keith Lee

AI capital is being miscounted, shrinking the economy on paper Hidden AI assets distort policy, funding, and skills planning Fixing measurement is now a growth and governance priority Currently, most officia

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Keith Lee

LLMs replace Wikipedia by absorbing its knowledge while diverting human attention AI convenience erodes verification and shared correction Public knowledge now needs active policy protection Large language models (LLMs) ar

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Keith Lee

India’s reliance on cheap Russian oil is not a diplomatic preference but an economic necessity Energy security now outweighs export dependence on the United States in India’s policy calculus This constraint narrows India’s strategic options and weakens Washington’s leverage in Asia

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Keith Lee

The AI fluency gap is becoming the new digital divide, reshaping who advances and who falls behind at work Only a small group of fluent users capture most of AI’s productivity gains, concentrating power and opportunity Education systems and policy must act now to make AI fluency a shared public skill, not a private advantage

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Keith Lee

Abortion restrictions are linked to higher infant mortality and worse maternal health outcomes Research also shows increased relationship violence and long-term harm to children Policy debates must account for these documented effects, not ideology alone

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Keith Lee

China’s AI edge is increasingly driven by faster, cheaper access to power and land U.S.

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Keith Lee

Many trade gains reflect rerouting, not real production Reallocation builds domestic value; rerouting only shifts routes Policy must target value added, not export volume The main takeaway is that much of the recent growth in Southea

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Keith Lee

Markets price geopolitical risk long before models can measure it Local-language news captures early signals that global indices miss LLMs can structure these signals, if used with care and oversight After Russia's invasion of Ukra

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Keith Lee

Tariffs may work for semiconductors, but they fail as a broad industrial policy Volatile tariff revenue signals deeper economic and institutional costs Punishment-based trade erodes trust that long-term investment needs

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Keith Lee

Human-like AI can blur boundaries for students in schools Use clear identity labels, distance-by-default design, and distress safeguards Align law, procurement, and classroom practice to keep learning human We often say present

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Keith Lee

The 10,000-hour rule fits early skill, not true peak AI raises the floor; judgment and transfer win Teach breadth first, verify always, specialize later Elite performance is best viewed as a process of growth, not just a number

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Keith Lee

Stories outlast statistics, and feeds reward that Viral politics runs on heroes, villains, and anger Teach narrative literacy, and push for cleaner platform data A study found that the impact of a statistic on belief decreased by 73% after just

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Keith Lee

Fast AI PhDs won’t fix hiring if training stays shallow Firms need proof of real research skills, not faster diplomas Rigor and outcomes must drive funding and standards Available data indicate that Korea's artif

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Keith Lee

SVB proved digital runs can topple banks fast Real-time diversification is the best defense Faster, targeted supervision blunts coordinated risk In March 2023, the future of financial oversight looked

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Keith Lee

Label fast and show sources Track latency and publish audits Teach verification; support independent checks Right now, about half of all adults get their news from social media.

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