The European Commission is preparing to classify ChatGPT as a "very large online search engine," subjecting the platform to the strictest tiers of EU AI regulation. This landmark decision places ChatGPT under the comprehensive framework of the EU Digital Services Act, requiring unprecedented transparency and rigorous risk management for AI governance compliance.
For enterprise organizations and AI developers, this regulatory shift signals a critical turning point. The era of unchecked AI deployment is ending, replaced by a mandate where trust, transparency, and accountability must be embedded by design across generative AI systems and other traditional AI systems. As AI platforms scale, the regulatory scrutiny they face intensifies, making proactive compliance strategies essential for sustainable innovation.
Under this stringent EU AI regulation, ChatGPT and its parent company, OpenAI, will face comprehensive obligations and clearer legal obligations—from regulatory clarity on transparency reporting to deeper controls for chatbots that increasingly function like online search engines. These include mandatory transparency regarding recommender systems and advertising practices. The urgency of these requirements is underscored by OpenAI's recent testing of advertisements within the chatbot, a move that has already sparked internal debate and the resignation of key research personnel concerned about the manipulative potential of AI-driven ads.
Organizations deploying similar technologies must recognize that navigating the EU AI Act in 2025 requires a fundamental shift from reactive compliance to proactive risk mitigation. The DSA mandates that very large platforms address systemic risks related to illegal content, fundamental rights, and public health—bringing human rights, fairness, authenticity, and broader ethics considerations into operational governance, not just policy statements.
A central focus of the intensified EU AI regulation for ChatGPT is the mitigation of risks to mental and physical well-being. Recent data highlights the profound societal impact of large language models and generative AI models, including risks tied to deep fakes and content manipulation. Reports indicate that a significant number of active users exhibit signs of mental health emergencies or express suicidal intent during interactions with the chatbot.
These alarming statistics have already led to multiple lawsuits alleging that the platform contributed to tragic outcomes. Consequently, the European Commission's enforcement of the DSA will compel AI providers to implement robust safeguards—an AI balancing act between innovation and protection in a future society. This aligns closely with the principles of responsible AI and human-centric AI models, where transparency in AI as a competitive advantage becomes a core business strategy rather than merely a legal obligation.
Failure to comply with these stringent regulations carries severe financial consequences. The European Commission has demonstrated its willingness to enforce the DSA aggressively, having previously issued a €120 million fine to a major social platform for breaching transparency obligations. To avoid similar penalties, companies must prioritize comprehensive AI governance services to ensure their systems meet all regulatory standards, especially where products fall into a high-risk area or enable high-risk uses (including national-security uses).
The classification of ChatGPT under the DSA serves as a clear warning to all organizations developing or deploying AI technologies—particularly general-purpose AI and broadly deployed artificial intelligence capabilities. The regulatory landscape is evolving rapidly, and the European Union is establishing the global benchmark for AI oversight through the EU AI Act (often described as groundbreaking) and complementary DSA enforcement—strengthening regulatory power via enforcement actions and, in some cases, future implementing act measures. Companies must adopt structured frameworks, such as ISO/IEC 42001, to govern AI, manage risks, and ensure verifiable compliance under a current risk-based approach (including expectations around robust regulation rather than deregulation).
To navigate this complex environment, organizations must focus on mastering AI privacy and data governance. This involves implementing evidence-based assessments of AI maturity and establishing world-class AI management systems, including documented definition and scoping for system purpose, users, and foreseeable misuse. By partnering with experts who understand the intricacies of both the EU AI Act and the DSA, businesses can turn systemic risks into strategic opportunities—especially when product teams align compliance, research, and brand reflections (including use cases in art and image-generation tooling such as DALL-E) into a single governance roadmap.
As the European Commission continues to refine its approach to EU AI regulation, the message is clear: responsible AI is no longer optional. Organizations that embed trust and accountability into their AI operations will not only achieve compliance but also build lasting value in an increasingly regulated digital world. For further guidance on aligning your AI initiatives with global standards, consult the European Commission's AI policy resources.