Technology & Innovation

Korea can purchase compute, models, and infrastructure faster than it can build the institutions that make them productive. AI productivity depends on complementarity among human skill, intellectual capital, physical capital, and organizational capability. Industrial policy should identify the binding institutional input instead of treating expenditure as evidence of transformation. The Korean Policy Question Korean technology policy has long used concentrated investment to accelerate strategic indus

Compute infrastructure is necessary for parts of the AI economy, but additional capacity does not guarantee useful models or productive decisions. The economic objective is to reduce total decision loss after compute, data, energy, modelling, validation, and organizational costs. Korean infrastructure policy should connect capacity to users, scientific problems, and measurable institutional capability. The Korean Policy Question Compute has become a strategic-policy object because access to advanced

Korea’s high rate of AI use should not be confused with economy-wide productivity transformation. Time savings become output only when firms redesign workflows, targets, authority, measurement, and accountability around the technology. The missing input is organizational capital rather than access to another general-purpose AI tool. The Korean Policy Question Korea provides an unusually clear test of the distinction between adoption and value.

Korea’s AI strategy cannot be reduced to the supply of software engineers because AI makes empirical and decision claims. Correct implementation does not guarantee representative data, valid inference, appropriate objectives, or safe deployment. National capability requires mathematics, statistics, domain knowledge, governance, and organizational judgment alongside engineering. The Korean Policy Question Korea’s industrial success gives engineering a deservedly high status in technology policy.

Korea’s AI labor market often combines software delivery, model development, domain integration, and supervision under one title. These roles require different evidence because they carry different forms of responsibility for data, inference, and decisions. A clearer occupational taxonomy would improve education policy, recruitment, procurement, and professional accountability. A Title That Conceals the Production System Korean employers and training providers frequently use ‘AI expert’ for people pe