Amazon Web Services (AWS) is shifting the focus of its artificial intelligence (AI) market strategy in Korea from "technology" to "business outcomes." The company plans to accelerate its push into the cloud-based AI market by concentrating on creating tangible corporate value that customers can immediately feel, moving beyond simple AI adoption or experimentation.
AWS unveiled its "Data and AI Strategy" at its Korea headquarters in Gangnam-gu, Seoul, on Wednesday.
"This year will be the year of agentic AI," said Rahul Pathak, Vice President of Data and AI Go-to-Market at AWS. "AI adoption itself is no longer a differentiator for companies. True competitiveness can only be secured when a company's unique business processes and data are combined with AI." He added that AI technology adoption is moving beyond the experimental stage into actual business outcomes for companies.
Based on this view, AWS analyzed more than 1,000 conversations with customers and partners and presented four priorities for AI adoption: setting business goals before technology; building a data utilization framework first; embedding security; and generating visible outcomes on an order-by-order basis. In other words, before adopting the technology itself, companies must establish clear business objectives and first build a data foundation that enables AI to deliver real value. AWS also emphasized that security should not be a barrier to innovation but must be designed from the outset as an essential prerequisite, while securing execution speed that allows companies to verify results within a short period.
AWS said global partners that have adopted AI by applying these four priorities in stages are demonstrating visible outcomes in numbers, including significant productivity gains.
"Global partners such as Accenture and Capgemini have improved productivity by up to 85% and return on investment (ROI) by up to four times by leveraging agentic AI platforms built on AWS's 'Bedrock' and 'AgentCore,'" Pathak said.
Korean companies have also seen significant productivity improvements. POSCO DX reduced drawing preparation time by 90%, from seven days to half a day, through an AWS-based agentic development environment, and cut data analysis time by a factor of 82. CJ Olive Networks saw a 5.7% increase in store sales and a 2.2% increase in customer numbers after applying an AI demand forecasting model.
Separately, AWS said it is continuously strengthening its AI-based response capabilities amid concerns over security threats recently triggered by Anthropic's "Mythos" and similar developments. "As AI models have become more sophisticated recently, they are quickly identifying software vulnerabilities," Pathak said. "At the same time, this is also an opportunity for security to respond quickly, and AWS is continuously strengthening its security capabilities using cutting-edge AI."
