Part 5/5 – Catalyst for a sustainable and resilient digital economy [AI software factory is a critical technology for the EU economy]

Reports on "AI rewiring" emphasize that the next stage is to rebuild operating models in the spirit of "AI-first": processes are designed from the outset with the assumption that the first executor is an AI system or network of agents, and humans are above the loop, correcting strategy, priorities, and quality.

GENESIS-AI implements this paradigm in the area of development:

• the entire application development process is designed as an agent workflow,

• humans define goals and requirements, verify results, set standards,

• agents perform repetitive, technical work while monitoring testing and security.

From the perspective of sustainability and digital resilience, this means:

• less waste – less rewriting, less time "burned" on repetitive tasks,

• less technical debt – standardization of architecture, technology stack, and quality metrics,

• easier audits and updates – universally understandable code, repeatable testing and security pipeline.

Added to this is the organizational aspect: recent studies show that employees are more ready for AI than leaders – they are eager to adopt it, but they need clear structures, training, and tools built into their daily work. GENESIS-AI can become one of those tools built into the workflow – instead of an abstract "AI strategy," you get a concrete system that builds and updates software every day according to repeatable standards.

In the macroeconomic debate, AI is presented as a source of trillions in additional productivity, but with the parallel risk that the benefits will be consumed by a narrow technological elite and capital owners. This is leading governments and regulators to increasingly ask not about the number of GPUs, but about how widely the effects of AI implementations will spread, how they will affect the middle class and young people entering the labor market. As a result, there is growing demand for AI solutions that are auditable, explainable, and built into regulatory frameworks by default, rather than being a "hack" that circumvents existing rules.

GENESIS-AI responds to these expectations as a factory of solutions with built-in value metrics (time, cost, quality) and evidence for audits and certifications required by the AI Act, NIS2, and DORA. This makes it not just a single research project, but a candidate for a permanent element of the infrastructure of the modern digital economy:

• innovative – multi-agent, GSEF, generative software engineering,

• productive – drastically reduces development time and cost,

• inclusive – levels the playing field for SMEs and startups,

• sovereign – developed and controlled in the EU, without vendor lock-in,

• sustainable and resilient – reduces waste and strengthens control over critical processes.

This is exactly the type of technology that can be reliably presented as a tool for achieving the goals of innovation, competitiveness, resilience, and digital sovereignty of the European economy within the STEP initiative and the European Funds for a Modern Economy program.