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Meta Refuses GPAI Code
Nemko DigitalAug 1, 2025 8:26:51 AM5 min read

Why Meta Refused the GPAI Code—What It Means for AI Regulation

Meta refuses GPAI Code, creating regulatory uncertainty for AI businesses. Learn what this means for your compliance strategy and competitive edge.

 

Meta's Rejection of the GPAI Code: This refusal has created significant regulatory uncertainty for businesses deploying general-purpose AI systems worldwide, as the EU's new AI Act provisions take effect in August 2025. Meta's stance raises questions of legal uncertainties and has brought attention to the regulatory frameworks within the European Union.

The tech giant’s decision marks a pivotal moment in AI governance, signaling broader tensions between innovation-centric tech companies and the European Commission’s efforts to ensure AI safety and transparency. While competitors like Microsoft embrace compliance frameworks, Meta perceives the EU as heading down the wrong path with its regulatory overreach.

 

Understanding the EU's GPAI Code of Practice

The General-Purpose AI Code of Practice is part of the European Commission's voluntary compliance frameworks aimed at assisting AI model developers in adhering to the EU AI Act. Introduced in July 2025, it tackles critical compliance areas:

Transparency Requirements mandate documentation of AI model capabilities, limitations, and potential risks. European companies must disclose how their AI systems operate and the data influencing their decisions.

Copyright Protection requires the responsible management of training data, ensuring legal clarity in using copyrighted materials.

Safety and Security Standards focus on high-capacity AI models with systemic risks, emphasizing rigorous testing, risk assessment, and security measures to meet AI industry standards.

 

Why Meta Refuses GPAI Code: Key Concerns Revealed

Why Meta Refuses GPAI Code

 

Meta's refusal highlights several concerns:

Legal Uncertainties are a primary issue. The company argues that the Code introduces ambiguous requirements and extends beyond the AI Act's scope, complicating compliance and potentially hindering the innovation of model developers.

Regulatory Overreach suggests that the framework's measures exceed original intentions, creating conflicting regulatory obligations.

Innovation Impact concerns stem from fears that compliance could diminish European AI innovation and competitiveness globally. Meta worries this path throttles further development, especially when juxtaposed against more innovation-friendly regions.

This position also echoes broader tensions with EU regulators over initiatives like the Digital Markets Act, affecting decisions on AI deployments.

 

Regulatory Implications When Meta Refuses GPAI Code

Meta's decision sets a regulatory precedent, affecting other companies' compliance strategies with the EU AI Act. Although companies like OpenAI and Anthropic have agreed to the Code, Meta's refusal suggests that these voluntary sets may not achieve universal endorsement.

Competitive Dynamics shift as companies compliant with the Code may face less regulatory scrutiny. In contrast, Meta might encounter increased oversight, affecting its operational security and efficiency.

Market Fragmentation is likely as companies adopt varying compliance strategies, complicating AI deployment across European markets and confusing consumers about AI ethics guidelines.

The enforcement challenge increases as regulators manage diverse compliance levels, straining resources and leading to uneven enforcement patterns.

 

Business Impact: What Companies Need to Know

Organizations deploying general-purpose AI must make immediate compliance decisions despite Meta's stance. The AI Act’s mandatory regulatory obligations remain, effective mid-2026.

Procurement Strategies should consider compliant versus non-compliant AI technology providers, influencing legal certainty and risk management.

Risk Assessment Requirements demand evaluating AI obligations of both their systems and suppliers, increasing due diligence for effective AI governance frameworks.

Competitive Implications benefit those using Code-compliant systems, offering streamlined processes, while non-compliant systems could attract stricter regulatory scrutiny.

 

Industry Response: Who's In and Who's Out

Supporting Companies like Anthropic and OpenAI show a strong commitment to EU regulations, stressing transparency, safety, and accountability. Their support for voluntary compliance frameworks aims to empower European AI development.

Microsoft's Pragmatic Approach sees compliance as an advantage, aligning with legal mandates to maintain a competitive edge amid regulatory concerns.

Pending Decisions from key players like Amazon and Google add to market uncertainty, with their positions likely impacting broader AI regulation and innovation.

The two-tier system of mixed adoption challenges AI regulation, requiring tailored oversight for compliant and non-compliant participants.

 

Long-term Implications for Global AI Governance

Meta's stance could lead to fragmentation in global AI governance, as different regions establish varying frameworks, complicating compliance worldwide.

Regulatory Competition rises as jurisdictions strive for a balance between safety and innovation, with some regions possibly adopting less restrictive approaches.

Standard-Setting Challenges arise as voluntary frameworks struggle for universal acceptance, potentially prompting more prescriptive and restrictive regulatory measures.

The precedent for future regulations is crucial as policymakers reassess voluntary versus mandatory approaches for broader emerging tech, impacting long-term AI development strategies.

 

Frequently Asked Questions

 

What happens to Meta's AI services in the EU?

Meta must comply with mandatory AI Act obligations. Refusal of the voluntary Code leads to increased scrutiny, not exemption from compliance obligations.

 

Should businesses avoid using Meta's AI products?

Evaluate risk tolerance and legal requirements. Meta's products remain legal, but they might necessitate additional compliance due diligence.

 

How does this affect smaller AI companies?

The dual regulatory system may favor Code-compliant providers, allowing smaller companies to leverage regulatory certainty for competitive advantage.

 

Will other major tech companies follow Meta's lead?

Current trends suggest that most major AI providers appreciate the legal certainty of Code compliance, but Meta's decision might prompt re-evaluation by some.

 

What are the penalties for non-compliance with the AI Act?

Violations could result in fines up to €35 million or 7% of global turnover, but these apply to mandatory requirements, not voluntary Code adherence.

 

Navigate AI Compliance With Expert Guidance

The shifting regulatory landscape calls for advanced AI management systems and strategic compliance planning. As exemplified by Meta, decisions on compliance affect competitive positioning and regulatory risks.

Nemko offers guidance to maintain competitive advantage while adhering to AI governance policies. Our expertise helps companies navigate complex regulatory environments, optimize compliance, and unlock opportunities in structured AI governance.

Ready to future-proof your AI strategy? Contact our AI governance experts to create a compliance plan fostering innovation while aligning with regulatory requirements. Start your AI risk assessment and ensure compliance success in the evolving regulatory landscape.

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Nemko Digital

Nemko Digital is formed by a team of experts dedicated to guiding businesses through the complexities of AI governance, risk, and compliance. With extensive experience in capacity building, strategic advisory, and comprehensive assessments, we help our clients navigate regulations and build trust in their AI solutions. Backed by Nemko Group’s 90+ years of technological expertise, our team is committed to providing you with the latest insights to nurture your knowledge and ensure your success.

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