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Two models, two roles: why companies are abandoning the single-stack strategy
Kakao — the operator of the most popular South Korean messaging app — has launched a company-wide rollout of Claude Code for all employees and will complete it by the end of May 2026. The company has already been using ChatGPT Enterprise since February 2025, with which it has a strategic partnership. Naver, the other internet giant, is operating in practically the same mode.
The key point is that this is not a random experiment. Kakao calls this strategy "AI Model Orchestration" — a deliberate orchestration of models, where each AI tool is assigned tasks based on what it excels at. ChatGPT is the default universal assistant, while Claude Code is the weapon for developers. And what is perhaps more surprising: according to the company's directive, Claude Code is also meant to be used by non-technical professions — researchers, strategists, marketers. Not for writing production code, but for automating routine tasks, prototyping ideas, and analyzing data.
Numbers that make dual-stack a no-brainer
Why Claude Code specifically for coding? The data speaks clearly. According to an analysis by Menlo Ventures, Claude holds roughly 42% of enterprise use cases for software development, while ChatGPT holds only 21%. That's a twofold difference — large enough for enterprise IT managers to start buying development tools as a separate category, rather than as an add-on to a universal AI license.
And another number: since its full launch in May 2025, Claude Code has grown more than tenfold in just three months. That's not just a growth curve — it's a signal that the market is demanding this tool on its own, regardless of marketing.
The South Korean market is also writing an interesting story. In April 2026, Claude overtook ChatGPT in the number of paid users in the Korean market for the first time, despite the fact that South Korea has (outside the US) the highest number of paying ChatGPT subscribers in the world. Because of this, Anthropic opened an office in Seoul in early 2026 — its third in Asia-Pacific — citing a sixfold increase in usage over the four months before opening.
Not just Korea — the multi-model approach is spreading globally
The dual-stack strategy is not limited to Naver and Kakao. Travel platform Yanolja adopted Claude Enterprise as early as the beginning of 2025. Kakao Mobility and delivery service Woowa Brothers (the Baemin platform) added Claude in April 2026. And Samsung SDS, Samsung's IT division, became the first Korean reseller of ChatGPT Enterprise in December 2025 — effectively opening the door to thousands of other Korean companies.
According to a 2025 Harvard Business Review analysis, globally 43% of employees already use at least two different large language models for different types of tasks. Only 18% of companies rely on a single model for all workflows. The pattern is consistent: ChatGPT for quick, general tasks; Claude for technical or specialized work. South Korean companies have simply formalized this spontaneous pattern into corporate policy.
What it means for Czech companies and the European market
For Czech companies, the South Korean story is relevant for several reasons. First: vendor lock-in is a real risk. Betting everything on a single provider and then watching them lose their performance edge or change their pricing policy can be costly. Two tools means preserved optionality and negotiating power.
Second: Claude Code is available in the Czech Republic, just like ChatGPT. Anthropic offers Claude Code as part of its API and through a terminal interface. For Czech developers, this means the opportunity to try out a tool that South Korean companies are using to replace ChatGPT for development workflows. Claude also supports Czech, although — as with most models — it achieves the best results in English.
Third: the EU AI Act increases requirements for enterprise AI tool governance. The enterprise versions of both ChatGPT and Claude Code meet SOC 2 Type II standards and, when properly deployed, prevent internal company data from flowing into the models' training pipelines. This is crucial in a situation where, according to LayerX Security research, up to 77% of employees who use unsanctioned AI tools share sensitive company data in the process.
The security angle: why saying "just use ChatGPT" isn't enough
When a company doesn't officially offer any AI tool to employees, it doesn't mean they aren't using one — they're using it on their own, in free versions, without any control over where the data goes. Enterprise contracts solve exactly this problem: centralized management, audit logs, role-based access. And crucially — adding a second tool doesn't multiply security risks, as long as it is also deployed in enterprise mode. What multiplies is only the administrative overhead: two supplier contracts, two support teams, two sets of acceptable use policies.
For a mid-sized Czech company (say, 50–200 employees), a dual-stack setup can mean monthly costs in the range of hundreds to low thousands of euros — depending on the number of licenses. ChatGPT Enterprise is typically billed from 25 to 60 USD per user per month, while Claude Code in the Max plan costs 100–200 USD per month for developers. It's not free, but the price is comparable to other enterprise tools — and the return in the form of saved developer time can be multiplied several times over.
Claude Code as a company-wide tool — not just for IT
One of the most interesting ideas that South Korean companies are pushing is the concept of AI-assisted coding as a cross-functional skill, not just a privilege of the development team. Employees in marketing, research, or planning shouldn't be writing production apps, but Claude Code allows them to automate repetitive tasks, create prototypes, and work with data without waiting for developers.
By the end of October 2025, Anthropic was serving over 300,000 corporate customers — from a 470,000-seat deployment at Deloitte down to individual product teams. This shows that the "AI coding for everyone" model is not just a marketing wish, but a proven trend. Kakao is now testing this approach in live enterprise operations across the entire company.
For Czech companies, the takeaway is simple: don't ask whether ChatGPT or Claude. Ask how to combine them so that each does what it does best. And don't forget that AI tools are no longer just for developers — they're for everyone who works with information.
What's the difference between ChatGPT and Claude Code from a company's perspective?
ChatGPT is a universal language model suitable for writing texts, research, brainstorming, and general productivity. Claude Code is a specialized tool for software development — it understands the entire project, generates and tests code, debugs errors, writes documentation. For an average employee, ChatGPT is like a smart colleague for everything, while Claude Code is like a specialized developer you "call in" when you need to automate or analyze data.
Is Claude Code available in Czech and for Czech companies?
Yes, Claude (including Claude Code) is available for Czech users and companies through Anthropic's API and terminal interface. It supports Czech, but like most large language models, it achieves the best accuracy in English. For technical tasks (coding), however, this is not an obstacle. Prices for enterprise deployment start at a few thousand CZK per month, depending on the number of licenses.
Is it worth it for a smaller Czech company to pay for two AI tools?
It depends on the work profiles in the company. If employees mainly write, communicate, and create content, you can probably get by with ChatGPT. But if the company develops software, works with data, or has employees who could automate routine tasks, Claude Code can quickly pay for itself. It's not about having "two tools for the same thing" — it's about covering two different needs. For a small development company of 20 people, Claude Code can save dozens of hours a month, which more than covers the license costs.
