2025 Agenda

Technology is aggressively redefining the boundaries of what can be built and operated within Air Traffic Management (ATM) software and services. We are witnessing a fundamental paradigm shift: while humans have traditionally built and operated systems with machines serving as passive verifiers, a new era is emerging. In this model, Generative AI (GenAI) and automated systems take on the heavy lifting of production and operations, empowering human experts to ascend to a higher-level role: controlling and optimizing system-wide performance.
The core of this is simple yet transformative: The more machines operate, the more humans can elevate performance.
This shift raises critical questions for the industry:
Autonomous Production: Can GenAI autonomously translate complex requirements into natural language into prototypes, components, and ready-to-use ATC system code?
Certification & Standards: What new certification frameworks are required to validate AI-generated code in a safety-critical environment and to be securely deployed in cloud infrastructure?
Sovereignty: How can we leverage generic European technology, control depedencies and institutional guarantees to fulfill certification requirements at a lower cost and within a shorter timeframe?
This talk explores the value of “technology-driven crafting.” With Cloud, AI, and data architectures reaching maturity, the capability to accelerate ATM modernization through GenAI-produced code is no longer a theoretical exercise—it is a matter of adoption and integration at scale. We will discuss how moving toward open architectures and AI-driven code production creates a human-centric service orientation that is faster, more resilient, and ready for the next generation of airspace.