Keith Lee is a Professor of AI and Data Science at the Gordon School of Business, part of the Swiss Institute of Artificial Intelligence (SIAI), where he leads research and teaching on AI-driven finance and data science. He is also a Senior Research Fellow with the GIAI Council, advising on the institute’s global research and financial strategy, including initiatives in Asia and the Middle East.
AI shifts tasks across borders rather than causing mass layoffs
Southeast Asia absorbs more of this work thanks to digital capacity and wages
Skills, standards, and cross-border partnerships turn the shift into shared gains
Japan–China relations now shape Japan’s classrooms and campuses
Low public trust and export controls tighten research and admissions
Universities should segment risk, diversify enrollment, and teach geo-literacy
Thirteen perce
Social media polarization is a feature of engagement-driven design, not a glitch
Schools should shift from neutrality to making accuracy the product students share
Prebunking, accuracy prompts, lateral reading, and policy partnerships raise information fidelity
AI labor cost has collapsed, making routine knowledge work pennies
Schools should meter tokens, track accepted outputs, and redirect savings to student time
Contract for pass-through price drops and keep human judgment tasks off-limits
AI productivity in education is real but uneven and adoption is shallow
Novices gain most; net gains require workflow redesign, training, and guardrails
Measure time returned and learning outcomes—not hype—and scale targeted pilots
The AI bubble rewards talk more than results
Schools should pilot, verify, and buy only proven gains using LRAS and total-cost checks
Train teachers, price energy and privacy, and pay only for results that replicate
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Tariffs with India, Korea, and Switzerland endanger student mobility and research in the learning economy
Trade deals must lock in visa certainty, protected lab inputs, and joint research
Bake education into trade to keep talent flowing and innovation alive
Media-driven memory politics outpaces classroom teaching in East Asia
Cross-border, source-based history lessons can counter quick nationalist swings
Schools must prime students before flashpoints to cool future conflicts
Communism did not reduce inequality more than other regimes and lowered overall welfare
Europe’s welfare capitalism cuts disposable-income gaps through taxes, transfers, and strong delivery systems
Tie school funding, time, and data to disadvantage to shrink learning gaps fast
China’s scale and prices now drive Asia’s green transition without Western support
Japan and Korea provide the standards, finance, and delivery that make projects bankable
ASEAN education should pivot to East Asian hardware, codes, and procurement skills
Trusted news wins when fakes surge
Make “proof” visible—provenance, corrections, and methods—not just better detectors
Adopt open standards and clear labels so platforms, schools, and publishers turn credibility into a product feature
China is moving from messaging abroad to pulling audiences in
Visa easing, platform virality, and museum upgrades turn curiosity into visits and study
Schools should swap institutes for short, place-based exchanges with clear safeguards
Households’ inflation beliefs move more with media framing than ECB verbosity
Extra, unscheduled talk can backfire; clarity, timing, and audiovisual formats anchor expectations
Make communication a measurable policy tool with simple targets and state-contingent triggers
AI prices reflect scarce compute and network effects, not just hype
Educators must teach market dynamics and govern AI use
Turn volatility into lasting learning gains
In a time historically dominate
Reshoring works only when automation slashes unit labor costs
Raise robot density and software-driven productivity, not tariffs
Tie incentives to verified plant gains and workforce upskilling
One key point that should ch
Judge AI use by proportion, not yes/no
Require disclosure and provenance to prove human lead
Apply thresholds (≤20%, 20–50%, >50%) to grade and govern
Sixty-two percent of people say they would like their favorite artw
AI lowers entry barriers, raises mastery standards
Novices gain most; experts move to oversight and design
Education must deliver operator training and governance mastery
A quiet result from a very loud technology
AI use is ubiquitous; current assessments reward fluency over thinking
Grade process, add brief vivas, and require transparent AI-use disclosure
Train teachers, ensure equity, and track outcomes to make AI a partner
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AI accelerates information cascades, turning rumors into rapid bank runs
Stability now hinges on dampening synchronized behavior, not just capital buffers
Build rumor-aware stress tests, fast disclosures, and drill-based curricula