Claude is preferred by enterprises, ChatGPT by employees: how generative AI choices are changing within companies in 2025

Enterprises are shifting their generative AI workloads from ChatGPT to Claude, especially in technical and regulated sectors.

Employees still rely on ChatGPT for everyday tasks, but Claude is gaining popularity among developers and legal teams. The market is evolving toward a multi-model environment, where both tools play distinct roles in corporate workflows.

The enterprise market pushes Claude ahead of ChatGPT in business AI workloads

When it comes to generative AI adoption strategies, large companies are profoundly reshaping their model stack: according to the latest reports from Menlo Ventures and other independent observers, Anthropic’s Claude has overtaken OpenAI models in enterprise LLM workload share, especially for mission-critical applications and workflows demanding high reliability and regulatory compliance.

The most cited statistic, published at the end of July 2025, shows that 32% of enterprise LLM workloads now run on Claude models, while OpenAI has dropped to 25% after dominating the market with a 50% share just two years ago. The shift is even more evident in the coding segment, where Claude now accounts for 42% of use cases versus OpenAI’s 21%. These reports highlight that the perceived security, refined prompt handling, and a 500,000-token context window have convinced regulated sectors—like finance, healthcare, and insurance—to consolidate Claude’s role in their internal processes.

Companies that have adopted Claude report marked improvements in code refactoring workflows, handling long documents, and automating legal or compliance-related tasks. The “Constitutional AI” approach, combined with stricter privacy management compared to OpenAI, represents a key advantage for CIOs and risk managers.

ChatGPT remains the most widespread and recognizable platform

Despite Claude’s rise, ChatGPT maintains its leadership when it comes to overall reach, brand recognition, and revenue. In July 2025, OpenAI reported surpassing 5 million paying business clients across Team, Enterprise, and API subscriptions, with projected annual revenue exceeding $13 billion.

ChatGPT’s success is mainly due to its deep integration in the Microsoft ecosystem (Copilot, Azure OpenAI, GitHub Copilot, VS Code), its ease of access (free, Plus, scalable API plans), and a wealth of native features: code interpreter, browsing, voice mode, plug-ins, image generation, and data analysis tools have become standard elements in millions of users’ digital workflows.

Large enterprises that adopted ChatGPT Enterprise cite scalability, support, rapid implementation, and a uniquely broad ecosystem of prompts and extensions as key drivers. However, they remain more exposed to privacy concerns and less transparent data handling compared to Anthropic’s offering.

Employee choices: ChatGPT is still the default, but interest in Claude is rising

While enterprise purchasing decisions are increasingly favoring Claude, the reality on the ground is more nuanced. According to major international surveys (Harvard Business Review × Ipsos, Stack Overflow, Microsoft Work Trend Index), the vast majority of knowledge workers and generalist teams still predominantly use ChatGPT—often the free or Plus version—even when other solutions are available within the company.

Accessibility, a familiar interface, and ease of customization make ChatGPT the default tool for personal productivity and quick problem-solving. It is the most used solution in marketing, administration, HR, and customer service departments, where AI supports emails, brainstorming, summaries, presentations, and small task automation.

In technical departments, however, the picture is more complex. Today, 42% of coding workloads in large enterprises are handled by Claude, preferred by developers, analysts, and legal professionals for managing large text volumes, advanced code refactoring, analyzing extensive repositories, and working with complex PDFs. The ability to upload very large files and the superior context window make Claude the reference point in engineering, legal, and research roles—especially where regulatory compliance is crucial.

Not surprisingly, according to Harvard Business Review, 43% of employees now use at least two different LLMs for different tasks: ChatGPT for quick, generalist activities; Claude for technical or compliance-heavy tasks; Gemini for large-scale summarization or market research; and Copilot for activities in the Microsoft environment.

Moving toward a multi-model AI landscape in the enterprise

The prevailing trend for 2025 is the normalization of a multi-tool, multi-model environment: only 18% of companies say they rely on a single model for all workflows. The overwhelming majority have implemented policies that allow them to integrate Claude, ChatGPT, Gemini, Llama, or Copilot Studio, depending on the context and business needs.

This evolution brings concrete benefits: better performance for specific tasks, greater deployment flexibility, reduced lock-in risks, and improved adaptability to local and international compliance policies.

So... companies are increasingly choosing Claude for reliability, security, and technical performance; employees, on the other hand, remain tied to ChatGPT for accessibility, versatility, and speed. The result is a growing synergy between multiple models within the same workflow, with the flexibility to choose, each time, the best tool for the task at hand.

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