According to Global Times, in recent months, discussions in Germany on how to implement the EU's Artificial Intelligence (AI) regulatory bill, the AI Act, have continued to heat up, with various parties repeatedly playing games on core issues such as regulatory standards and innovation guarantees. Recently, the German Federal Cabinet officially approved the corresponding draft law - the "Artificial Intelligence Market Regulation and Innovation Promotion Law", which not only completes the domestic transformation of EU laws, but also forms a differentiated governance path based on its own industrial power positioning, and sets the boundaries for the development of the local AI industry.

Aligning with EU rules

It is reported that the Artificial Intelligence Market Regulation and Innovation Promotion Act specifies that the Federal Network Agency serves as the central agency for AI regulation in Germany, responsible for overseeing the entire process of AI system development, deployment, and operation. To strengthen regulatory capabilities, the Federal Network Administration will add 43 related positions. This bill continues the risk classification regulatory approach of the EU's Artificial Intelligence Act, categorizing AI applications into different types based on their level of risk and implementing strict regulations on high-risk AI applications. It clarifies that violators will face a maximum fine of 35 million euros or 7% of global annual revenue, which is consistent with EU standards. At the same time, for special scenarios such as AI applications in the media field, state media regulatory agencies are responsible for special supervision.

In addition to implementing EU directives, Germany's introduction of this bill also has profound domestic strategic considerations. Regarding the motivation for the introduction of the bill, Wu Zewei, a special researcher at Su Shang Bank, analyzed that the primary reason for Germany's promulgation of the "Artificial Intelligence Market Regulation and Innovation Promotion Law" is to implement the domestic transformation of the EU's "Artificial Intelligence Act" and establish the authority of the Federal Network Administration as the central regulatory agency. The deeper driving force comes from Germany's strategic anxiety about maintaining "digital sovereignty". Faced with the dominant position of China and the United States in the AI field, Germany hopes to establish its own industrial advantages through regulations and avoid becoming a technological vassal. At the same time, as an industrial powerhouse, Germany needs to build an AI governance framework that adapts to the needs of the manufacturing industry. Its positioning differs from the US model that centers on consumer technology, aiming to strengthen the balance between regulation and innovation in industrial AI application scenarios.

It is worth noting that while the bill strictly regulates, it also incorporates innovation support measures, explicitly requiring the Federal Network Administration to operate at least one AI practical application laboratory, providing priority use rights for small and medium-sized enterprises, startups, and research institutions, and helping various entities reduce AI application testing costs.

Response shows differentiation

The introduction of this bill did not trigger unanimous recognition, and the response of different entities in Germany to the bill showed a clear differentiation trend.

Regarding the domestic response and implementation challenges of the bill, Wu Zewei further stated that supporters recognize the bill's efforts to balance regulation and innovation promotion, especially the provisions that establish AI practical application laboratories and allow small and medium-sized enterprises to use them first, which are seen as practical arrangements to encourage innovation. Criticism has focused on the implementation details, expressing concerns that the allocation of resources and division of responsibilities between federal and state regulatory agencies may lead to fragmented execution. Some business people believe that the regulations are too strict, turning AI companies into strictly regulated commercial organizations, which may further lead to Europe falling behind in the AI competition. The challenges that the bill may face during implementation include the compliance burden brought by parallel review by multiple institutions, the regulatory coordination dilemma of cross regional operating enterprises, and the survival pressure of small and medium-sized enterprises in the face of high compliance costs.

Despite facing many challenges, in the long run, this bill will have a profound impact on the development of Germany's AI industry. Wu Zewei believes that in the long run, this bill will promote the formation of a "dual track development" pattern in the German AI industry. On the one hand, strict regulation may suppress the innovation vitality of some startups, especially small and medium-sized enterprises with limited resources, which may delay the application of AI under compliance pressure. On the other hand, the establishment of innovation laboratories and clear regulatory guidelines can help build a trustworthy AI ecosystem and provide a deterministic framework for industrial AI applications. The concept of "digital sovereignty" emphasized in the bill is coordinated with measures such as the joint construction of AI data centers by Deutsche Telekom and Nvidia, promoting the construction of local AI ecosystems and reducing dependence on external technologies. Ultimately, Germany may form a differentiated competitive advantage in the industrial AI vertical field, rather than competing head-on with the United States in the field of general large models.

The bill introduced by Germany this time not only connects with EU rules, but also demonstrates its strategic intention to maintain "digital sovereignty" and consolidate its advantages in industrial AI. With the gradual implementation of this bill, Germany may form a unique competitiveness in the industrial AI vertical field, while providing reference for the domestic transformation of AI regulation in other EU member states.