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Keith Lee

[email protected]

[email protected]

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 work examines the broader socioeconomic consequences of artificial intelligence, including labor markets, public finance, demographic change, and institutional adaptation.

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

Aging and migration strain universal healthcare budgets Exclusion is not sustainable Smart funding reform can protect equity and stability Europe’s public health budgets face a simple arithmetic squeeze: current

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Keith Lee

AI misuse is spreading faster as advanced models become widely available National safeguards alone cannot contain cross-border diffusion of high-risk systems A targeted US–China agreement is crucial to slow global AI misuse Acc

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Keith Lee

Northern Europe AI adoption shows human capital drives early productivity gains Digital skills and English proficiency speed AI integration Policy should prioritise adoption capacity over sovereign model-building Here's a fac

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Keith Lee

Deposits can hedge risk, but they can also trigger deposit-run risk Rising rates exposed how fast confidence can turn Regulation must measure deposit fragility, not just volume In March 2023, Silicon Valley Bank experienced a m

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Keith Lee

AI is creating a sharp labor divide between capital owners, stable workers, and those being pushed out Education policy must adapt to this new AI labor divide or risk permanent inequality Public finance and schooling must evolve together to prevent economic exclusion

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Keith Lee

Speculation cannot fix structural affordability Stablecoins may look stable but can shift systemic risk Real reform requires stronger incomes and safer credit systems In 2024, a study found that about 63% of adults in the United Stat

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Keith Lee

AI copyright disputes are shifting toward strict AI data governance and data provenance scrutiny Settlements and licensing deals now shape the legal landscape more than courtroom doctrine The future of AI regulation will depend on verifiable governance, not abstract fair-use theory

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Keith Lee

Inflation spreads faster because firms reprice in response to shocks, not calendars Energy and AI amplify this speed, but state-dependent pricing is the core driver Policy and education must adapt to inflation that moves in days, not months

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Keith Lee

The third AI stack is a political ambition, not an industrial reality China’s open-source push wins users, not hardware supremacy Europe and Korea must focus on interoperability and skills, not full-stack rivalry Between Augu

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Keith Lee

AI data centers are straining local power systems Donations cannot replace enforceable community agreements Real benefits require binding commitments to the grid In 2023, U.S.

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Keith Lee

Japan’s growth problem is not a lack of effort, but weak output per hour Extending work hours raises costs without fixing productivity or wages Policy should shift from time worked to skills, management, and productivity gains

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Keith Lee

Wearable AI is moving computing from screens to body-level devices Education policy must balance personalization with privacy and trust Early rules will decide whether wearable AI helps learning or harms it Initially, artificial intelli

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Keith Lee

AI transparency is a public good that cannot survive without explicit funding Unfunded openness will weaken Western firms against state-subsidized competitors Paying for transparency is the only way to keep AI markets both open and competitive

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Keith Lee

AI systems produce fluent language through probabilistic pattern learning, not through conscious awareness Equating parameter scale with human cognition confuses simulation with subjective experience Education and policy must treat AI as powerful tools, not emerging minds

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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

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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 repo

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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 official economic reports treat

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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

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