Google held Google AI for Business 2026 in Korea, unveiling the latest applications of AI for enterprise transformation alongside what it calls a "full-stack AI" strategy. The event ran for three days starting July 14 and merged Google's annual marketing event, Google Marketing Live (GML), with Google Cloud AI Live & Labs into a single gathering.
Gu Yoon, President of Google Korea, said that "as AI-powered tools become widely used, consumers' information search and purchase decisions have completely changed," stressing that Google AI is now driving innovation across the entire business cycle, not just marketing. Ruth Sun, President of Google Cloud Korea, introduced Google's full-stack AI approach, spanning computing infrastructure, AI models, orchestration platforms, and user interfaces.
The centerpiece platform presented was Gemini Enterprise, described as a single, unified management environment that lets a company safely build, scale, optimize, and manage every agent across the organization, helping it evolve into what Google calls an "Agentic Enterprise."
The event highlighted domestic companies applying Google AI across industries: CJ Olive Young in retail, KakaoBank in finance, Daewon Pharmaceutical in healthcare, Weverse in media and entertainment, and Yeogieottae in travel. Google's research team also joined a session covering how foundational research on cognitive capabilities for AI agents — including work called "NeuroContext" — translates into real business value. A special exhibit, "Gemini Playground," let attendees experience media-art pieces created in collaboration between Gemini and Korean artists Lee Lee-nam, Code Kunst, and Goyosohn.
The point worth watching is that Google is redefining "AI marketing" not as a standalone tool but as an operating model that runs through an entire organization. The observation that consumer information search and purchase decisions have changed is itself a signal that the assumptions behind search and ad-exposure strategy are shifting, a theme closely tied to KT Nasmedia's H2 2026 digital advertising outlook. For marketers, the task ahead is designing new touchpoints where AI agents intervene across the entire customer journey, not just optimizing individual campaigns.
The prominent placement of domestic case studies like CJ Olive Young, KakaoBank, and Yeogieottae also shows that the AI-adoption conversation has shifted from "does it work" to "how fast can it become a core growth driver" — echoing the broader shift toward AI-native operations described in Notion's 4-stage AX roadmap. A practical starting point is identifying which repetitive tasks in your own marketing stack can be automated with agents, and building a concrete roadmap for using AI as a differentiator in brand experience. For help mapping an enterprise AI marketing roadmap, see Best Partner's services.
It's Google's unified management platform that lets a company safely build, scale, optimize, and manage AI agents across the entire organization, supporting its evolution into an 'Agentic Enterprise.'
Domestic companies including CJ Olive Young, KakaoBank, Daewon Pharmaceutical, Weverse, and Yeogieottae were highlighted as examples of applying Google AI across retail, finance, healthcare, media, and travel.
Look beyond individual campaign optimization to identify where AI agents can intervene across the full customer journey, and build a concrete roadmap for automating repetitive marketing tasks while using AI as a brand-experience differentiator.
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