Airbus // Universal Registration Document 2023

1. Information on the Company’s Activities 1.3 Other corporate activities

Airline Sciences The aim of the Airline Sciences team is to provide an operational digital representation of an airline in all its complexities and reflecting various business models. This modelling allows the Company to take a bottom-up approach and to test out different aircraft technologies and concepts, validate product strategy, assist in sales campaigns, develop new services and, more importantly, understand the customers’ perspective across all layers of the Company. Airbus has set sustainability at the heart of the Company’s purpose and has the ambition to lead the decarbonisation of the aviation industry. Accurate monitoring and modelling of aircraft operational data is a core element of its decarbonisation strategy. As such, the Airline Digital Twin capability is being used heavily in order to assess CO 2 and non CO 2 effects, including comprehensive emissions calculations, effect on airline profitability as well as operational sensitivities. Airbus has been actively involved in an array of public funded projects related to the impact and mitigation of Scope 3 emissions on the climate. Thanks to this funding, the Company has developed a substantial simulation and data analytics capability enabling detailed flight by flight analysis on a massive scale. This new capability will be key in advocating Airbus’ position on any future legislation, can serve to test new Airbus technologies on an airline level to mitigate aviation induced climate impact, and can help to drive new services to the wider aviation community. Finally, in the context of aircraft sales campaigns, the Airline Digital Twin was used in supporting several key aircraft sales campaigns, for instance for assessing the effect of the Russia Ukraine airspace blockage on a detailed and realistic level. Artificial Intelligence (“AI”) After successfully applying specific AI solutions across the business domains, the Company is now accelerating and maturing its industrial setup to deliver AI at scale. This includes delivering secure and compliant AI platforms and services, and making available reusable and accessible core AI technology capabilities and patterns in a responsible way. These capabilities include: – –Computer vision to enable visual quality inspection and improve the safety and quality of the Company’s manufacturing environment; – –Pattern recognition and time series analysis to detect anomalies and avoid failures in the Company’s industrial machines and aircraft; – –natural language processing to classify data ( e.g. export control) and secure the Company’s compliance; – –generative AI to generate text content (chatbot assistant, document generation) or image content (marketing and training datasets) to support employee efficiency and product design; – –optimisation to improve scheduling and planning activities; and – – hybrid modelling through machine learning to build surrogate models of physical systems, accelerating design activities and increasing potential design space. With the emergence of generative AI and the rapid growth of potential use cases across the Company, a dedicated task force has been launched to ensure a central governance and the development of an operational set up to benefit from this

digital solutions on system design (through an MBSE approach), and virtual testing and industrial assembly design (through modelling and simulation). Future programmes in the Airbus Commercial Aircraft business: The MBSE (Model Based System Engineering) deployment across engineering and manufacturing engineering is well on track with it being applied to a number of selected use cases on legacy, future projects and Research and Technology. More than 300 people have been trained and have reached a suitable proficiency level in MBSE, enabling the Aircraft and Industrial Architects community to work at the same time on a consistent architecture baseline sharing the same models and data, which facilitates their ability to coordinate efforts. The deployment of the 3-D physical design architecture framework has the benefit of allowing for cross-discipline collaboration across aircraft and industrial design, which adds efficiency by reducing incompatible outcomes and the need for reconciliation during the design phase. Finally, during this year the Company began foundational work toward new cross-disciplinary digital capabilities that should ultimately enable multi-systems and multi-dimension optimisation across numerous parameters, utilising Artificial Intelligence capabilities. Eurodrone & FCAS: The Eurodrone development continues to rely on DDMS capabilities, which may enable concurrent design activities for the preliminary and critical design phases. More than 1,700 employees and partners have so far begun or undergone training for DDMS capabilities for Eurodrone, and for FCAS a progressive onboarding approach will be undertaken during 2024 and 2025. Helicopter Programmes: Further progress has been made for the deployment of DDMS within Helicopter programmes. The deployment of an advanced 3D viewer, to be available across all relevant disciplines, has continued throughout the division. The initial deployment of a digital continuity solution (for use between the design teams and the shop floor) has been made at one FAL, paving the way for its eventual deployment across current and future FALs. Future steps within Helicopters will be the deployment of MBSE, and the employment of a digital simulation environment and the deployment of further collaborative platforms, in order to support the development of the Next Generation Helicopters. 3. Near real-time digital continuity with a network of platforms The “network of platforms” aims to connect all of the Company’s digital platforms, processes and data in an integrated way, with the goal of enabling near real-time digital continuity throughout the complete business value chain (both internally and externally). The “network of platforms” should facilitate better data structuring by ( inter alia ) securing “single source of truth” references and enhancing quality, consistency and ease of access for re-usability, all within an overall stronger governance framework. In 2023 the Company implemented the first use cases, which yielded substantial time gains in accessing source data. Ultimately the “network of platforms” should yield a more rationalised and efficient digital landscape, which should benefit our operational teams and partners. In 2024 the Company will begin to deploy the framework and the approach at scale.

158 Airbus Annual Report

Universal Registration Document 2023