A joint final report was presented to representatives of both governments at the Franco-German Forum for Industrial AI at the French Ministry of Economy and Finance on April 17, 2026. The paper was prepared under the leadership of the French embassy in Berlin and in collaboration with the Fraunhofer-Gesellschaft, Inria and the Institut Mines-Télécom (IMT).

The aim is to expand technical capacities such as cloud infrastructures, networks and computing power while ensuring interoperability and energy-efficient operation. According to the report, seven central fields of action are to structure the development of a European AI ecosystem:

1. digital and IT infrastructure
Building a robust European infrastructure (cloud, networks, computing capacities, data rooms) that enables the use of AI solutions on a large scale while ensuring their interoperability and energy-efficient operation

2. state sovereignty and legal
framework Clarification and adaptation of the legal framework in order to harmonize requirements with regard to innovation, competitiveness and sovereignty, in particular in the implementation of the European AI and data regulations and the extension of the cybersecurity seal for cloud environments to data rooms

3. health Accelerated
adoption of AI in healthcare through easier access to data, improved interoperability and validated solutions to optimize care and system efficiency

4. production
Promoting the integration of AI in industrial processes, especially in SMEs and mid-sized companies, in order to optimize production, increase resilience and build up additional expertise; reducing technology costs by introducing support mechanisms

5. media
Safeguarding information sovereignty and business models against the backdrop of the increasing importance of AI; strengthening content and data and regulating its use, particularly with regard to AI training

6. energy
Use of AI to optimize energy systems, increase resilience and support the transition to more sustainable and lower-emission models, for example through the use of dedicated large language models (LLMs)

7. agriculture and food sector
Use of AI for higher performance, better traceability and more sustainability in the value chains of agriculture and the food industry.

One focus is on coordinating the industrial policy priorities of both countries. These include the removal of regulatory hurdles, the expansion of European computing capacities, access to renewable energies and measures to train skilled workers. In addition, AI applications are to be used specifically in strategic industries.

More than one hundred players from industry, research and universities were involved in the development process. Specific application scenarios and investment requirements were identified in sector-specific workshops, for example in the areas of production, energy, healthcare, media and telecommunications. The proposals are based on practical industry requirements.

The report was presented by Bruno Sportisse (Inria), Boris Otto (Fraunhofer ISST) and Cécile Dubarry (IMT). They emphasized the importance of joint competencies for the further development of industrial AI in Europe. "The Franco-German AI dialog sends a strong signal for sovereign, competitive and trustworthy artificial intelligence in Europe."

The results of the dialog were already presented at the 'Adopt AI Summit' in November 2025. The recommendations are now to serve as a basis for political measures, research programs and industrial projects. There are also plans to integrate them into the European funding instrument IPCEI AI in order to implement large-scale projects in the field of artificial intelligence.