South Korea's two largest internet platforms, Naver and Kakao, have each confirmed they are deploying both OpenAI's ChatGPT and Anthropic's Claude Code as standard employee tools — a deliberate dual-stack approach that splits AI responsibilities by task type and signals where enterprise AI strategy is heading globally. Naver confirmed it offers both tools in its internal AI toolkit, while Kakao, which partnered with OpenAI in early 2025, is rolling out Claude Code to all employees and expects to complete the deployment by the end of May. The playbook emerging from Seoul's largest tech firms is specific: ChatGPT serves as the default general-purpose assistant; Claude Code is the chosen tool for software development. Enterprises that pick only one are leaving capability on the table.
South Korea Sets Enterprise AI Adoption Pace
The timing matters. Anthropic's Claude has overtaken OpenAI's ChatGPT in South Korea's paid generative AI market for the first time, according to April 2026 data — a reversal that reflects enterprise contract wins rather than consumer downloads. Anthropic opened its Seoul office in early 2026, its third Asia-Pacific location, citing a sixfold increase in Korean usage over the four months preceding the opening. South Korea already holds the largest number of paying ChatGPT subscribers outside the United States, giving the country's enterprise adoption decisions outsized weight as a leading indicator for the broader Asia-Pacific market.
Kakao's route to a dual-stack approach began with a strategic collaboration with OpenAI announced in February 2025, which included ChatGPT Enterprise deployment for employees to enable smarter workflows. The company describes the overall approach as part of an "AI Model Orchestration" strategy it first introduced at its developer conference in late 2024 — integrating proprietary models with leading external APIs rather than committing to any single vendor. Adding Claude Code for all employees by the end of May completes that dual-stack picture.
Naver is running a similar configuration. "We support our employees in choosing the AI tools that best suit their work and preferences," a Naver spokesperson said. "The AI landscape is evolving quickly, so we're continuously evaluating how to provide better tools and ways of working."
Why Claude Code for Developers, ChatGPT for Everyone Else
The task-based split driving these deployments reflects a clear market signal: Claude holds roughly 42% of enterprise coding use cases versus ChatGPT's 21%, according to Menlo Ventures data — a gap wide enough that enterprise IT leaders are now treating coding as a distinct procurement category rather than a feature inside a general-purpose AI subscription. "We've seen a clear uptick in employees asking for access to Claude, which has gained momentum on the strength of its coding capabilities," said an executive at one major Korean platform company. "We want to give employees hands-on experience with a range of AI tools so they can build their own skills."
Claude Code grew more than tenfold in the three months following its full launch in May 2025. The tool's appeal extends beyond dedicated engineering teams: Naver and Kakao see coding fluency as a competitive skill for employees in research, planning, and marketing roles, not just software development. That framing — AI coding as a cross-functional productivity tool — is what makes adding Claude Code on top of an existing ChatGPT Enterprise contract a strategic decision rather than a redundant one.
Enterprise AI products from both OpenAI and Anthropic are designed to isolate sensitive internal data from training pipelines and give companies centralized oversight of employee usage, which matters in a market where research from LayerX Security found that 77% of employees using unmanaged AI tools share sensitive company data in the process. Using enterprise-licensed versions of both tools eliminates that exposure channel for the specific products being deployed, while still capturing the performance advantages each brings to its respective task category.
Multi-Model Strategy Becomes Standard Across Korean Tech
The dual-stack pattern is spreading rapidly beyond Naver and Kakao. Travel platform Yanolja adopted Claude Enterprise in early 2025. Ride-hailing service Kakao Mobility and food-delivery operator Woowa Brothers, which runs the Baemin platform, both brought Claude on board in April. Samsung SDS, the IT services arm of Samsung, became South Korea's first reseller of ChatGPT Enterprise in December 2025, positioning it to support the enterprise wave across Korean industry.
The convergence is not isolated to South Korea. According to a Harvard Business Review analysis from 2025, 43% of employees globally now use at least two different large language models for different tasks, and only 18% of companies rely on a single model for all workflows. The pattern is employees gravitating to ChatGPT for quick, generalist tasks and Claude for technical or compliance-heavy work — precisely the split Korean platform companies have now formalized as explicit corporate policy.
How Are Companies Managing Two AI Tools Without Creating Chaos?
Running parallel AI contracts introduces real management questions: license costs, security governance, and avoiding the confusion of employees using two tools with overlapping capabilities. The answer Korean platforms are converging on involves structuring deployments by role and task rather than giving employees an unguided choice between two tools with no direction.
The enterprise versions of both ChatGPT and Claude Code comply with SOC 2 Type II standards and, when deployed correctly, prevent internal data from flowing into model training pipelines — which means the data security argument does not multiply as companies add a second tool. What does multiply is the administrative overhead of managing two vendor relationships, two support contracts, and two sets of acceptable-use policies. "Adopting a mix of AI tools — while putting strong security guardrails in place — makes sense for reducing vendor lock-in and staying flexible on cost," said one AI executive familiar with Korean enterprise deployments. "The race between frontier models like ChatGPT and Claude keeps producing back-and-forth shifts in who's ahead, and new tools are arriving constantly."
The vendor lock-in concern is explicit in how these companies talk about their strategy. Committing deeply to a single provider and then watching that provider lose a performance edge — or change its pricing structure — carries real transition costs. Running two tools simultaneously keeps those costs manageable and preserves optionality as the frontier model landscape continues shifting.
Claude Code Turns Coding Into a Company-Wide Skill
One dimension of these deployments that goes beyond typical enterprise software procurement is the framing both Naver and Kakao apply to AI coding tools: not as engineering infrastructure, but as a capability that all knowledge workers should develop. The expectation is that employees in non-technical roles will use Claude Code not to build production software, but to automate tasks, prototype ideas, and interrogate data — tasks that previously required a developer's help.
Anthropic reported serving more than 300,000 business customers by the end of October 2025, with enterprises ranging from Deloitte's 470,000-employee deployment to individual product teams. The breadth of that adoption suggests the company's model of Claude Code as a general employee productivity tool, not just a developer's assistant, is being validated in practice. Kakao's plan to extend Claude Code across all employees — not just its engineering workforce — is consistent with that broader pattern.
Frequently Asked Questions
Why are companies using both ChatGPT and Claude Code instead of picking one?
ChatGPT and Claude Code have emerged as specialists in distinct task categories: ChatGPT performs best as a general-purpose productivity assistant for writing, summarization, and research, while Claude Code leads in enterprise software development workflows, holding roughly 42% of enterprise coding use cases versus ChatGPT's 21%, per Menlo Ventures data. Running both tools lets companies capture the top-performing option for each workflow rather than accepting a single tool's limitations across the board.
What is Claude Code used for in enterprise settings?
Claude Code is an AI-assisted software development tool that integrates directly into a developer's terminal and existing codebase, allowing it to understand project architecture, generate and test code, handle debugging, and automate documentation. In enterprise deployments, it is also being used by non-developers in research, planning, and marketing roles to automate repetitive tasks and prototype tools without writing manual code.
Is South Korea's enterprise AI adoption ahead of the global average?
South Korea has the largest number of paying ChatGPT subscribers outside the United States, and Anthropic's Claude overtook ChatGPT in Korea's paid generative AI market in April 2026 — ahead of the equivalent crossover in the US market, which occurred in the same month. Korean platform companies like Naver and Kakao are formalizing multi-model AI strategies that global enterprises, including 65% of Fortune 500 companies per multiple analyst surveys, are still building toward.
How do companies prevent data leaks when using enterprise AI tools?
Enterprise-licensed versions of ChatGPT and Claude Code are contractually prevented from using company data for model training and provide centralized admin controls, audit logs, and role-based permissions. Research from LayerX Security found that 77% of employees using unmanaged, consumer-tier AI tools share sensitive company data in the process — the primary reason enterprises upgrade to managed contracts rather than allowing consumer tool use.
ⓒ 2026 TECHTIMES.com All rights reserved. Do not reproduce without permission.
