Google has officially agreed to sign the European Union's general purpose AI code of practice, a voluntary framework aligned with the EU AI Act. This decision, announced by Kent Walker, contrasts with Meta's recent refusal to sign. The code requires AI developers to provide documentation, avoid using pirated content, and respect content owners' requests. While Google supports the improved final version, it still has concerns about potential impacts on innovation and competitiveness. The EU AI Act, set to be enforced from August 2, 2025, establishes a risk-based classification system for AI applications and focuses on transparency, safety, and intellectual property protection for general-purpose AI models.
In a significant development for the artificial intelligence landscape, Google has officially confirmed it will sign the European Union’s general purpose AI code of practice, a voluntary framework designed to help AI developers implement processes and systems to comply with the bloc’s landmark AI Act. This announcement, made by Kent Walker, Google’s president of global affairs, comes as the EU prepares to enforce rules for providers of “general-purpose AI models with systemic risk” beginning August 2, 2025, marking a pivotal moment in global AI regulation.
Google’s decision stands in stark contrast to Meta’s position earlier this month, when the social media giant refused to sign the code, criticizing the EU’s implementation as “overreach” and warning that Europe was “heading down the wrong path on AI.” This divergence between two tech giants highlights the complex challenges facing the industry as it navigates increasingly stringent regulatory frameworks while attempting to maintain innovation momentum.
The EU’s AI Code of Practice represents a comprehensive approach to responsible AI development, offering a clear framework for developers of General Purpose AI (GPAI) models to meet the requirements set forth in the EU AI Act. By signing this code, Google commits to following a slate of guidelines that include providing updated documentation about their AI tools and services, refraining from training AI on pirated content, and complying with requests from content owners not to use their works in their datasets. These measures aim to address growing concerns around copyright infringement, model transparency, and data protection in AI development.
In his blog post announcing the decision, Walker acknowledged that while the final version of the code was an improvement over initial proposals, Google still harbors reservations about certain aspects of the EU’s approach. “We remain concerned that the AI Act and Code risk slowing Europe’s development and deployment of AI,” Walker wrote. “In particular, departures from EU copyright law, steps that slow approvals, or requirements that expose trade secrets could chill European model development and deployment, harming Europe’s competitiveness.”
The EU AI Act, which is the first comprehensive legal framework for artificial intelligence worldwide, establishes a risk-based classification system for AI applications. The legislation bans certain “unacceptable risk” use cases, such as cognitive behavioral manipulation and social scoring systems. It also defines a set of “high-risk” applications, including biometric identification, facial recognition, and AI systems used in education and employment contexts. Developers of these high-risk systems must register their AI products and meet stringent risk and quality management obligations.
For general-purpose AI models like those developed by Google, Anthropic, OpenAI, and Meta, the regulations focus on transparency, safety, and intellectual property protection. These companies will have two years to fully comply with the AI Act’s provisions following the August 2 enforcement date. This timeline recognizes the technical complexity involved in adapting sophisticated AI systems to meet new regulatory standards while allowing continued innovation.
The implications of Google’s decision extend beyond simple regulatory compliance. By aligning with the EU’s framework, Google is positioning itself as a responsible actor in the AI ecosystem, potentially gaining competitive advantages in European markets where regulatory compliance will soon become a prerequisite for operation. This move may also influence Google’s approach to AI development globally, as companies increasingly find it efficient to standardize practices across markets rather than maintaining different standards for different jurisdictions.
At the same time, Meta’s refusal to sign the code signals growing tensions between regulatory bodies and some industry players. In its rejection, Meta argued that the framework poses legal risks and threatens to undermine AI innovation across Europe. This divergence in approaches between major AI developers creates uncertainty about how the industry will evolve under varying levels of regulatory adherence.
The contrast between Google and Meta’s positions highlights a fundamental question facing the AI industry: can robust regulation coexist with rapid innovation? Google’s decision suggests a belief that working within regulatory frameworks, despite their limitations, offers a more sustainable path forward than resistance. Meanwhile, Meta’s stance reflects concerns that overly prescriptive rules may hamper technological progress at a critical juncture in AI development.
The EU’s General-Purpose AI Code of Practice is part of a broader global trend toward increased AI regulation. As governments worldwide grapple with the societal implications of increasingly powerful AI systems, frameworks like the EU AI Act are likely to influence regulatory approaches in other jurisdictions. Companies developing AI technologies must now navigate a complex and evolving regulatory landscape while continuing to push the boundaries of what these systems can achieve.
For users of AI technologies, these developments promise greater transparency and safety protections. The requirements for documentation, risk assessment, and intellectual property compliance should result in more responsible AI products with clearer accountability mechanisms. However, there are legitimate questions about whether these benefits will come at the cost of reduced innovation or delayed access to cutting-edge capabilities.
As the August 2, 2025 deadline approaches, the AI industry finds itself at a crossroads. Google’s decision to sign the EU’s code of practice, despite reservations, signals a recognition that regulatory compliance will be an essential component of AI development moving forward. Whether this approach will successfully balance innovation with responsibility remains to be seen, but it clearly establishes a precedent for how major technology companies might engage with AI governance frameworks in the years ahead.
The diverging approaches of Google and Meta exemplify the broader tensions within the tech industry as it adapts to increasing regulatory scrutiny. As AI capabilities continue to advance at a rapid pace, finding the right balance between innovation and governance will remain one of the most significant challenges facing both developers and regulators. Google’s decision to work within the EU’s framework, rather than oppose it, may ultimately prove to be a shrewd strategic move in an increasingly regulated AI landscape.
