Why Businesses Are Moving to Claude & How to Migrate Your ChatGPT Data

Severin Sorensen
2 days ago
5 min read

There's a pattern emerging in enterprise AI that doesn't yet match the consumer headlines. ChatGPT still dominates casual conversation. But in the boardroom, on the developer terminal, and inside the Fortune 100, a different tool has quietly taken the lead. Claude, built by Anthropic, has become the enterprise AI of record, and the numbers behind that shift are no longer subtle.

Claude's quiet takeover

By the first half of 2025, Anthropic's enterprise revenue had surpassed OpenAI's. A company with a fraction of ChatGPT's consumer name recognition was generating more enterprise revenue than the platform that launched the AI era.

The data since then has only accelerated that story. According to Anthropic:

Anthropic closed a $30 billion Series G in February 2026 at a $380 billion post-money valuation, led by GIC and Coatue.
The company's run-rate revenue stands at $14 billion, a figure that has grown more than 10x annually for each of the past three years.
Eight of the Fortune 10 are now Claude customers, and the number of businesses spending over $1 million annually has grown from roughly a dozen two years ago to more than 500 today.
Customers who begin with Claude for a single use case (whether through the API, Claude Code, or Claude for Work) are expanding their integrations across their organizations, and the number of customers spending over $100,000 annually has grown 7x in the past year.
Claude Code, Anthropic's agentic coding product, has grown to over $2.5 billion in run-rate revenue, more than doubling since the beginning of 2026.
The same capabilities driving Claude's coding dominance are now unlocking new categories of enterprise work: financial analysis, sales, cybersecurity, and scientific discovery.

Why leaders are choosing claude

The consumer market optimizes for speed, familiarity, and novelty. The enterprise market optimizes for something different: reliability, judgment, safety, and the ability to push back when the reasoning is wrong. Several factors are driving Claude's enterprise dominance:

Pushback over validation. Many executives and teams who've made the switch note a qualitative difference: Claude challenges flawed assumptions rather than agreeing with them. For leaders making consequential decisions, an AI that surfaces gaps in reasoning is materially more useful than one that tells you what you want to hear.
Long context and structured complexity. Claude’s Opus 4.6 can feature up to 1M tokens of context. For legal teams, strategy documents, due diligence reviews, and multi-stakeholder communications, this matters.
Deep integration. Claude is embedded across many of today’s most widely used applications, with native integrations in platforms like Microsoft 365, Slack, Zoom, SAP, and HubSpot.
An ethical position that resonates. When Anthropic publicly refused to allow Claude to be used for lethal autonomous operations or mass surveillance, it was a brand signal that drove a surge in new paid subscriptions.

What this means for you as a leader

If you or your organization has spent months or years working inside ChatGPT building prompts, custom instructions, institutional memory, and project context, you don't have to leave that investment behind. The transition is manageable, and in many cases, the migration process itself is an opportunity to build cleaner, more intentional AI workflows.

How to migrate your ChatGPT data to Claude

This process takes roughly two hours of focused work. Think of it less as a technical migration and more as a strategic audit of how you've been working with AI, and an opportunity to build a cleaner foundation.

Step 1: Gather your ChatGPT data

In Claude, navigate to Settings → Capabilities → Import memory from other AI providers. Copy the prompt provided and place it into ChatGPT. Paste results into a separate document.

Step 2: Capture your ChatGPT memory

Your saved memories require a separate step. In ChatGPT, go to Settings → Personalization → Memory → Manage and copy them. Then, use Anthropic's own recommended export prompt, and paste it directly into ChatGPT (as recommended by Anthropic):

“I'm moving to another service and need to export my data. List every memory you have stored about me, as well as any context you've learned about me from past conversations. Output everything in a single code block so I can easily copy it. Format each entry as: [date saved, if available] - memory content. Make sure to cover all of the following — preserve my words verbatim where possible: Instructions I've given you about how to respond (tone, format, style, 'always do X', 'never do Y'). Personal details: name, location, job, family, interests. Projects, goals, and recurring topics. Tools, languages, and frameworks I use. Preferences and corrections I've made to your behavior. Any other stored context not covered above. Do not summarize, group, or omit any entries. After the code block, confirm whether that is the complete set or if any remain.”

Paste the results into the same document where you added your ChatGPT data in Step 1.

Step 3: Audit before you import

Before bringing anything into Claude, read through what you've captured. You may find that only part of your ChatGPT memory is current, accurate, and actually useful. Filter for what is still true, still relevant to how you work today, and specific enough to be actionable. Rewrite entries as direct instructions rather than third-person descriptions. For example, "User prefers concise responses" becomes "Always keep responses concise and direct."

Step 4: Import into Claude's memory system

In Claude (browser, not mobile app), re-navigate to Settings → Capabilities → Import memory from other AI providers. Paste your curated, edited memory content. Claude will process it, and within 24 hours, you'll see your updated memory reflected. According to Anthropic, you can verify by asking: "I updated my memory. What did you learn about me?"

Important Note: Claude's memory is optimized for work-related context. Purely personal details unrelated to professional tasks may not be retained. If there's specific information you want retained, ensure to continue adding to your memory (Settings → Capabilities → Memory from your chats → Clicking the pencil icon in the bottom right-hand corner).

Step 5: Build Claude Projects for your key workflows

Claude's Projects feature is the structural equivalent of ChatGPT's project functionality, but it's worth building these from scratch rather than directly importing conversation transcripts. Each Project can hold a persistent knowledge base, tailored instructions, and a consistent tone.

For your most important workflows pertaining to executive communications, competitive analysis, content strategy, and client work, create a dedicated Project and write deliberate instructions. Be specific: include your preferred response format, the level of pushback you want, relevant background on your role and organization, and any terminology or frameworks you use regularly.

The main takeaway

The enterprise AI market has moved faster than most predicted, and it has moved toward Claude. The reasons being: safety architecture, reliability, enterprise integration depth, and a model that treats its users as capable of handling honest analysis rather than flattering agreement.

If your organization is still running primarily on ChatGPT, you're not wrong, but you're likely behind the strategic curve of your peers. If you're an individual executive or executive coach who has built institutional AI memory in ChatGPT, the migration is less daunting than it appears and more valuable than you might expect.

The two hours you invest in the transition will be a strategic audit of how you work with AI, and an opportunity to build something better.