Oct 2026· EСONOMY FINANСES MANAGEMENT Topical issues of science and practical activity· 14 references
Marketing and Advertising Strategies
Abstract
The article provides a comprehensive analysis of the use of generative artificial intelligence (hereinafter – AI) in the creation of visual advertising content and its impact on contemporary marketing practices in Ukraine and abroad. It is demonstrated that the integration of AI-generated photo and video materials transforms not only the set of advertising tools but also the very logic of organizing the advertising process, reshaping the balance between creative, managerial, and technological components. Generative models form a new type of creative environment in which content production becomes fast, flexible, and data-driven, allowing for scalability without a proportional increase in the costs. The study systematizes the key areas of application of generative AI in advertising, including the personalization of visual messages, production optimization, the development of dynamic formats, and the use of data-driven storytelling. At the same time, it is identified that technological advantages are accompanied by a number of risks related to the standardization of creative solutions, dependence on the quality of input data and on external technological infrastructure, the weakening of brand distinctiveness, and an increased likelihood of ethical and legal violations. It is argued that in the absence of adequate managerial control, generative content may lose strategic alignment with brand positioning and the long-term objectives of the enterprise. Special attention is paid to the Ukrainian context, which is characterized by the combination of rapid adoption of AI solutions with human resource, institutional, and regulatory constraints intensified by wartime conditions. It is shown that under these circumstances generative artificial intelligence performs a dual role: on the one hand, it acts as a tool for improving the effectiveness of marketing communications; on the other hand, it requires clearly defined frameworks for responsible use. The article concludes that generative AI should be viewed as a driver of structural change in the advertising industry, the effectiveness of which depends on its integration into marketing management systems, the quality of managerial decision-making, compliance with ethical principles and legal requirements, and the ability of brands to maintain their distinct character.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.