Korea's AI Export Training Model

The first cohort used KOTRA's pilot AI Export Secretary system for market research. Participants also produced foreign-language short-form promotional content and product photos using tools such as ChatGPT and Gemini. They registered products on BuyKorea, KOTRA's B2B platform, and conducted social-media marketing aimed at overseas buyers. The China module included Greater China social media and TikTok marketing.

A lot of AI training still starts at the wrong level. It teaches what a large language model is, gives people some prompt tips, warns them about hallucinations, and then ends. Some of that is useful. But it does not answer the question most SMEs have: what should I do differently next week?

KOTRA's answer is more direct. Use AI to research the market, produce the content, and prepare the product listing, and overseas marketing gets cheaper.

A representative from Edubricks, a toy manufacturer that participated in the trainee matching, said the program helped reduce costs and time while opening new overseas sales channels. KOTRA Vice President Ahn Young-ju said AI is becoming essential for lowering costs and boosting effectiveness in export work. Cost, time, and effectiveness are the right metrics.

The program pairs young trainees with SME teams. A small manufacturer may know its product and its margins. It may not know how to produce short-form foreign-language content or test a buyer-facing digital campaign. A young trainee may understand AI tools and social platforms. But they may not understand export markets or buyer risk.

Put them together and you get something closer to a working adoption model. This is different from hiring consultants to tell SMEs to modernize. The KOTRA model creates a temporary human bridge between AI capability and firm-level use.

That bridge matters because AI tools are getting easier, but the work is not. The firm still has to decide which market to test and what claims it can make about the product. AI can produce options quickly. It cannot know the business context unless someone supplies it. This is why training programs aimed only at "AI literacy" may underperform. SMEs need applied help inside real commercial tasks.

KOTRA is not treating this as a one-off course. In August 2025, KOTRA described a three-year plan, from 2026 to 2028, to build AI-based personalized services into its export-support platform. The plan includes AI-based customer service and a governance system for the agency's data. KOTRA said firms would be matched more efficiently with AI-recommended buyers and would be able to use AI-based market analysis drawing on information from 131 overseas trade offices.

That is the more ambitious version of the program. The training cohort creates people who can use AI for export marketing. The platform strategy aims to make KOTRA itself more AI-enabled. KOTRA President Kang Kyung-sung described the agency's role as a "smart assistant and reliable partner" for export companies. That is a good phrase because it does not overstate the case. The agency is still the intermediary. AI changes how the intermediary works.

The next layer is regional. In May 2026, KOTRA and local governments announced plans to more than double joint cooperative export and overseas expansion projects for regional companies, from 54 annually to 110. The mechanism is the AI Trade Support Center network: 20 locations across the country meant to help regional companies use AI for export activity. The centers support work such as buyer discovery and automated buyer recommendations. Ahn Young-joo said the centers would act as hubs for regional companies to attempt export projects "at minimal cost."

Many jurisdictions run export training, digital adoption programs, and regional business centers as three separate things. Korea is trying to connect them, so that the local office runs on the central agency's buyer data.

Training alone usually does not change firm behavior. It creates awareness, sometimes enthusiasm, and often a list of things the firm has no time to do. Korea's broader AI adoption model deals with that through vouchers.

The OECD's 2026 review of Korea's AI Voucher Program describes a government-led program that helps SMEs, medical institutions, and micro-businesses adopt AI solutions while also creating demand for domestic AI providers. It is administered by the Ministry of Science and ICT through NIPA and uses the SMART platform for supplier registration and demand-supply matching.

The same OECD review puts the 2025 budget at about US$20 million. Government covered up to 80% of project costs for SMEs and 70% for mid-sized firms, and the review counts more than 1,000 projects supported between 2020 and 2024. This is important because it turns AI adoption into a market-building exercise. On one side are SMEs that need help but do not know which supplier to trust. On the other are AI providers that need customers, feedback, and use cases. Government lowers the risk of the match. It does not have to build every solution itself.

The OECD review cites positive effects on employment, sales, and firm performance, especially in services. It also reports sales growth of around 30% relative to non-beneficiaries in one external evaluation, with productivity effects appearing more clearly after one to two years.

Canada is a good comparison because it has the opposite problem in some respects. Canada has deep AI research and strong AI institutes, but business adoption remains weak. The federal government's June 2026 AI for All strategy says it wants to raise AI adoption from just over 12% to 60% by 2034 and create 250,000 AI-related jobs over five years.

The strategy includes national AI literacy, SME adoption support, and a stronger sovereign AI foundation. Whether any of it becomes operational is the open part.

Canada does not need more abstract encouragement for SMEs to "use AI." It needs applied adoption channels. Korea's model suggests what those channels could look like.

For trade and economic development agencies, that argues against separating AI adoption from sales and market development. Teach SMEs how AI changes the work they already need to do. For a food processor, that might mean multilingual buyer materials and distributor research. For an agtech company, investor targeting and data-room preparation. The use cases sit close to revenue, and that is where SMEs pay attention.

The Korea model is about institutional design more than AI tools. Five moves carry across borders.

None of it requires inventing a new technology. It requires organizing a market: people who can translate between the tools and the business, and finance that lowers the cost of trying. Many agencies will struggle on the data, because their information is scattered, stale, or trapped in individual inboxes. AI will expose that.

The Korean model also points to a problem many countries avoid: SME AI adoption is labor-intensive. A portal, a chatbot, or a self-assessment tool cannot solve the adoption gap. Those things help with triage and reduce friction, but they will not, by themselves, change how thousands of firms sell, produce, and manage.

Adoption needs people who understand the tools and people who can translate between those tools and the business. Public agencies have a role here as market organizers.

KOTRA's approach is not perfect, and the evidence is still early. Some firms will use the training once and revert to old habits, and some trainees will be better with the tools than with commercial judgment. The stronger objection is scale. A cohort of 717, and even the 5,000 KOTRA targets for 2027, is small against the number of Korean SMEs that would have to change how they sell. The 30% sales growth in the OECD review also belongs to the voucher program rather than to the training, so it cannot carry the case for the cohort.

What would make this wrong is specific. If later cohorts place trainees without moving export results at the firms that host them, or if the OECD's 30% finding does not repeat in a follow-up evaluation, the model is a youth-placement program with an AI label, and the voucher is the more copyable half of the model.

KOTRA says it will reach 5,000 specialists by 2027 and complete its 2026–2028 platform build. Whether the first 717 changed what their firms sold is the number that decides whether the rest is worth copying, and that number sits with KOTRA.