I Just Use ChatGPT in My Business. Do I Need to Comply With the EU AI Act?

The short answer

It depends on how you use it.

If you're using ChatGPT (or Claude, Gemini, Llama, or any other AI) internally — drafting emails, brainstorming, summarizing documents for yourself — you're probably fine. The EU AI Act doesn't regulate what you do with AI inside your own head, basically.

But if AI-generated output reaches your EU customers in any way — a chatbot on your website, AI-written product descriptions, automated email responses, AI-powered recommendations — then yes, the EU AI Act applies to you. And it doesn't matter that you didn't build the AI. You're using it in your business, and the regulation cares about that.

You're probably a "deployer"

The EU AI Act defines two main roles: providers and deployers.

Providers are companies that build AI systems — OpenAI, Anthropic, Google, Meta. They have the heaviest obligations: technical documentation, conformity assessments, model training transparency, the works.

Deployersare companies that use AI systems in their business. If you plug ChatGPT into your product via the API, or use it to power a feature that customers interact with, you're a deployer. That's a defined legal term in the regulation (Article 3(4)), and it comes with specific obligations.

The common misconception is "OpenAI handles compliance, so I don't need to worry." Wrong. OpenAI handles provider obligations. You still have deployer obligations — and those are your responsibility regardless of what your AI vendor does.

Internal use vs customer-facing

Here's a simple way to think about it:

• Internal only, no customer impact: You use ChatGPT to draft internal memos, brainstorm marketing ideas, or summarize meeting notes. No EU customer sees the output directly. → Probably not in scopefor Article 50 transparency. But Article 4 (AI literacy) still applies — your staff needs to understand the AI tools they're using.
• Customer-facing, low stakes: You use AI to generate product descriptions, draft support responses that a human reviews, or power a recommendation engine. → Limited risk, transparency obligations apply.Tell users when they're interacting with AI. Label AI-generated content.
• Customer-facing, high stakes:You use AI to screen job applicants, assess credit risk, or make decisions that affect people's access to services. → Likely high-risk under Annex III. Full compliance obligations apply, deadline December 2, 2027.

The grey area is when AI output goes through human review before reaching customers. If a human meaningfully reviews and edits the output, you have a stronger argument that it's a human decision assisted by AI, not an AI system interacting with people. But if the human review is rubber-stamping — clicking "send" without really checking — regulators will likely see through that.

What you actually need to do

If you're a deployer with customer-facing AI (which is most businesses using ChatGPT in their products), here's what Article 50 requires by August 2, 2026:

• Disclose AI use.Tell users they're interacting with AI. A visible notice in your product: "This response was generated by AI." Not in your terms of service. In the actual interface.
• Label AI-generated content. If your product generates text, images, or other content that could be mistaken for human-created, label it. The Commission wants machine-readable metadata, not just a disclaimer.
• Ensure AI literacy (Article 4).Your team needs to understand the AI tools they're using. This has been enforceable since August 2025. It doesn't mean everyone needs a PhD in machine learning — it means your staff should know what ChatGPT is, what it can and can't do, and what the risks are.

That's it for most deployers. The heavy stuff — technical documentation, risk management systems, conformity assessments — is for providers and high-risk deployers. If you're just using ChatGPT to power a chatbot, you need transparency disclosures and AI literacy. Not a 200-page compliance program.

What about OpenAI's obligations?

OpenAI (and Anthropic, Google, etc.) have their own obligations as GPAI model providers under Chapter V. They need to provide technical documentation about the model, comply with copyright rules, and publish training content summaries.

But here's the key thing: their compliance doesn't cover yours. They're responsible for the model. You're responsible for how you deploy it. If your chatbot doesn't tell users it's AI, that's on you — not on OpenAI.

Think of it like GDPR and cloud providers. AWS provides the infrastructure, but you're the data controller. Same logic here. The AI provider gives you the model. You decide how it's used, and you bear the deployment obligations.