{"id":903,"date":"2026-05-18T04:39:14","date_gmt":"2026-05-18T04:39:14","guid":{"rendered":"https:\/\/kstories.kr\/en\/tec260514004-en\/"},"modified":"2026-05-18T05:42:27","modified_gmt":"2026-05-18T05:42:27","slug":"tec260514004-en","status":"publish","type":"post","link":"https:\/\/kstories.kr\/en\/tec260514004-en\/","title":{"rendered":"Korea Environmental Information Research Center to Host 2nd Climate Tech x GCF AI Convergence Forum"},"content":{"rendered":"
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Korea Environmental Information Research Center to Host 2nd Climate Tech x GCF AI Convergence Forum<\/div>\n

The Korea Environmental Information Research Center (KEIRC) has announced it will host the 2nd Climate Tech x GCF AI Convergence Forum on Friday, May 22, at COEX in Seoul. This significant event aims to explore practical strategies and global cooperation methods to help Korean companies successfully enter overseas markets with their climate-response AI technologies. A key focus will be addressing challenges in international expansion by fostering connections with global climate finance initiatives, such as the Green Climate Fund (GCF), and international organizations, like the Global Green Growth Institute (GGGI).<\/p>\n

Second Climate Tech x GCF AI Convergence Forum Announced<\/h2>\n

The Korea Environmental Information Research Center (KEIRC) announced it will host the 2nd Climate Tech x GCF AI Convergence Forum on Friday, May 22, from 2 PM to 5 PM, in Conference Room 301 at COEX, Seoul. This event is a side program of 'ENVEX 2026,' Korea's largest international environmental exhibition. It will address overseas expansion strategies, focusing on climate change response AI technology and fostering cooperation with global climate finance and international organizations.<\/p>\n

The Climate Tech AI Convergence Promotion Agency is organizing the forum, with co-hosting support from the Global Green Growth Institute (GGGI), NH Investment & Securities, and the Korea Environmental Information Research Center. This collaboration aims to enhance the event's expertise and practicality, forming part of a broader effort to help outstanding Korean climate tech and AI technologies gain international recognition.<\/p>\n

Analyzing Challenges for Korean Companies in Overseas Markets<\/h2>\n

Despite possessing excellent AI and climate tech capabilities, Korean companies in the environmental and energy sectors frequently encounter various obstacles when expanding into overseas markets. Key challenges include insufficient local networks, limited access to information regarding international funding, difficulties in localizing business models, and the arduous task of identifying suitable international partners.<\/p>\n

These long-standing issues have significantly hampered Korean companies from fully realizing their potential and securing a competitive edge in the global market. The 2nd Climate Tech x GCF AI Convergence Forum is designed as a crucial platform to thoroughly analyze these persistent challenges and propose concrete, practical solutions.<\/p>\n

Presenting Global Cooperation Models and ASEAN Market Trends<\/h2>\n

The upcoming forum will feature in-depth discussions on specific global cooperation models and market trends, aiming to help Korean companies overcome barriers to international expansion. A particular focus will be on comprehensively introducing the interconnected project structures of the Green Climate Fund (GCF) and the Global Green Growth Institute (GGGI), outlining strategies for leveraging these frameworks to participate in overseas projects.<\/p>\n

Furthermore, the forum will share the latest trends in the rapidly expanding climate tech market, with a particular emphasis on ASEAN countries, and explore methods for establishing successful international business cooperation models. It is anticipated that this forum will lay the groundwork for Korean companies to assume a leading role in the global climate change response market and achieve sustainable growth.<\/p>\n

English-Korean Version<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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