Anthropic Strengthens Claude: Why New Enterprise Buyers Are Choosing It Over ChatGPT

Enterprise AI is seeing a shift: among first-time buyers of AI tools, Anthropic's Claude pulled ahead of ChatGPT in March 2026. Businesses now weigh more than price and a big name. They look at code quality, handling of long context, stability in long sessions, and more flexible team pricing.

AI-processed from Habr AI; edited by Hamidun News
Anthropic Strengthens Claude: Why New Enterprise Buyers Are Choosing It Over ChatGPT
Source: Habr AI. Collage: Hamidun News.
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Primary sourceHabr AI ↗
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Key metric #1Cleaner, more maintainable code without needless architectural exoticism
Key metric #2Stable handling of long context and large documents
Key metric #3Less drift in long sessions and better instruction following

Enterprise AI is seeing a notable shift: among companies buying AI tools for the first time, Anthropic's Claude pulled ahead of ChatGPT in March 2026. This is not yet a mass exodus across the whole market, but it is already an important signal of how businesses choose their working AI products.

A Shift in Purchasing

According to the March Ramp AI Index, 73.3% of spending among companies buying AI tools for the first time went to Anthropic, and 26.7% to OpenAI. In December 2025 the picture was the reverse: OpenAI led at roughly 60 to 40. In January the two were nearly level, and the turnaround began in February.

It matters that this concerns not the entire enterprise market but specifically new buyers. Still, this is the segment where the direction of future demand usually shows first.

These figures do not prove that businesses have already abandoned ChatGPT en masse. Large companies rarely swap their stack overnight, and existing contracts and internal processes last a long time. Even so, a shift in first purchases is a strong leading indicator. It suggests that when making a new choice, teams increasingly look not at the loudest brand but at which tool fits best into real day-to-day work.

Why Companies Choose Claude

The main driver of Claude's growth is not abstract "smartness" but practical usefulness for teams that write code, manage documents and build repeatable processes. Anthropic bet on scenarios where a model must do more than answer in a chat: it has to hold context for a long time, follow rules and help inside a specific workflow. Hence the interest in Claude Code, work modes such as Cowork, and skills that can package a team's regular actions.

  • Cleaner, more maintainable code without needless architectural exoticism
  • Stable handling of long context and large documents
  • Less drift in long sessions and better instruction following
  • More flexible plans for teams that find themselves squeezed between $20 and $200

Price is a separate factor. In OpenAI's subscriptions, many users notice a sharp jump from Plus at $20 to Pro at $200, whereas Anthropic offers intermediate Max tiers at $100 and $200 with different limits. For small teams this looks clearer. Via the API, however, the situation is more complicated: GPT-5.4 is noticeably cheaper than Anthropic's flagship models on both input and output tokens. So choosing Claude is not about the lowest price, but about a sense that the quality of results and predictable behavior justify the extra cost.

How OpenAI Is Responding

OpenAI is responding with product strategy as well as brand. On March 17, 2026, the company released GPT-5.4 mini and nano, models optimized for subagents, background tasks and cheap high-volume operations. The logic is clear: the large model handles planning, while lighter versions take over parsing, classification, repository traversal and other narrow tasks. It is a strong bet on the infrastructure layer, where speed, price and scale decide, not just the quality of a single chat answer.

In pure benchmarks, OpenAI's position remains strong, especially where speed and engineering efficiency matter. GPT-5.4 is slightly ahead in programming tests and in resolving real bugs, while Claude Opus 4.6 does better at complex reasoning and in long texts rated by humans. Hence the difference in perception: ChatGPT is often chosen where the economics of scaling matter, and Claude where a careful multi-step executor is needed.

Sentiment in online communities is shifting too, though that is more a signal than proof of market movement. Claude is gaining the image of a tool "for work," while around ChatGPT people increasingly discuss censorship limits, fatigue in long sessions and loss of focus. Even a viral Reddit headline is telling, and on Anthropic's side the flip side of growth is already visible: the faster the audience grows, the more noticeable the errors, limits and access problems.

"ChatGPT refugees are already here."

What It Means

The enterprise AI market is entering a phase where the winner is not simply the best-known or cheapest model, but the product that fits best into work processes. While OpenAI strengthens its economics and its subagent ecosystem, Anthropic is winning new enterprise customers through convenience, stable behavior and the feel of a "working tool" rather than just a smart chatbot.

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Key Questions Answered

What are the key details on A Shift in Purchasing?

According to the March Ramp AI Index, 73.3% of spending among companies buying AI tools for the first time went to Anthropic, and 26.7% to OpenAI. In December 2025 the picture was the reverse: OpenAI led at roughly 60 to 40. In January the two were nearly level, and the turnaround began in February. It matters that this concerns not the entire enterprise market but specifically new buyers. Still, this is the segment where the direction of future demand usually shows first. These figures do not prove that businesses have already abandoned ChatGPT en masse. Large companies ra

Why Companies Choose Claude?

The main driver of Claude's growth is not abstract "smartness" but practical usefulness for teams that write code, manage documents and build repeatable processes. Anthropic bet on scenarios where a model must do more than answer in a chat: it has to hold context for a long time, follow rules and help inside a specific workflow. Hence the interest in Claude Code, work modes such as Cowork, and skills that can package a team's regular actions. Cleaner, more maintainable code without needless architectural exoticism Stable handling of long context and large documents Less dri

How OpenAI Is Responding?

OpenAI is responding with product strategy as well as brand. On March 17, 2026, the company released GPT-5.4 mini and nano, models optimized for subagents, background tasks and cheap high-volume operations. The logic is clear: the large model handles planning, while lighter versions take over parsing, classification, repository traversal and other narrow tasks. It is a strong bet on the infrastructure layer, where speed, price and scale decide, not just the quality of a single chat answer. In pure benchmarks, OpenAI's position remains strong, especially where speed and engi

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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