AI Research Memo

AI spending is soaring, but unit economics remain weak for education Rising data-center capex and power costs will push up subscription and utility bills Schools should buy outcomes, not hype—tie payments to verified learning gains

Mind captioning maps visual brain patterns to text, but it’s pattern recognition—not mind reading In schools, keep it assistive only, with calibration, human-in-the-loop checks, and clear error budgets Adopt strict governance first: informed consent, mental-privacy protections, and audited model cards

Internal AI now performs junior work, collapsing the old apprenticeship Education must build AI finance talent—aim, audit, and explain models Policy should fund governance sandboxes to grow trusted hybrid roles The most meaningf

AI data centers are pushing grid costs onto households and schools Create a separate rate class with minimum bills, upfront upgrade payments, and full transparency Require self-supply or co-located power for very large campuses, with local community benefits

AI now touches most jobs—about 60% in advanced economies Hire for verified skills that complement AI, using portfolios, micro-credentials, and apprenticeships Redesign schooling around agentic AI to widen mobility and prevent exclusion

AI agents in education boost learning while cutting time Build home-first workflows for practice, planning, and records Scale with evidence and guardrails to protect equity and trust One data point should change our think

Korea excels at teen “creative thinking,” but adults lag in adaptive problem solving Generative AI automates routine tasks, so value shifts to AI cognitive extensions—framing, modeling, and auditing Reform exams, classroom routines, and admissions to reward those extensions, or the test-prep edge will fade

AI energy demand may surge—but isn’t guaranteed Nuclear later; near-term: renewables, storage, shifting Schools should plan for boom or bust with flexible procurement By 2030, global electricity generation for data c

AI adoption is concentrated on a few cloud and model providers, creating systemic fragility Correlated behavior and shared updates can amplify shocks across markets Regulators should stress-test correlation, mandate redundant rails, and map dependencies to safeguard AI financial stability

AI investment pays off in Southeast Asia only when paired with real workforce learning Training, workflow redesign, and governance turn tools into measurable productivity and wage gains Shift budgets from hardware to people so diffusion is broad, fast, and inclusive

Tiny city samples won’t close the 3.7–3.9 million-home gap Use real-time public and private data under shared standards and privacy rules Governments set rails, platforms supply feeds, and weekly human review turns signals into units

AI chatfishing hides bots in dating, removing consent and raising risks Declared AI companions can help, but still need strict guardrails Require clear disclosure, platform accountability, and education to close the consent gap When

Build a third AI stack for education Adopt an Airbus-style consortium for procurement Prioritize teacher time-savings, multilingual access, and audited safety A single number highlights the stakes: in 2024, Airbus

AI-assisted teaching is the reform, not the threat Shift assessment from answer-hunting to reasoning and disclosure Train every teacher and set simple norms so AI boosts equity and learning A single statistic should reframe the

Deepfake NIL licensing will surge as content costs collapse Schools must use contracts and authenticity tech to protect communities Provenance and consent rebuild trust when faces become licensable assets Only three in ten U

Stablecoin banking—not lending apps—now drives the real contest over payment infrastructure Stablecoins move trillions monthly as regulation and instant domestic rails converge Universities should pilot cross-border stablecoin payments and teach the operational playbook

Chatbots replace lists with a single voice, intensifying algorithmic gatekeeping In portal-first markets like Korea, hallucination and narrowed content threaten civic learning Mandate citations, rival answers, list-mode defaults, and independent audits in schools and platforms

AI reveals Parrondo’s paradox can turn losing tactics into schoolwide gains Run adaptive combined-game pilots with bandits and multi-agent learning, under clear guardrails Guard against persuasion harms with audits, diversity, and public protocols

AI sycophancy flatters users and reinforces errors in learning It amplifies the Dunning–Kruger effect by boosting confidence without competence Design and policy should reward grounded, low-threat corrections that improve accuracy A