Artificial intelligence in business: challenges and prospects for development
TL;DR
This study aims to identify the key challenges and development prospects of AI implementation to enhance business efficiency and ensure sustainable development, providing strategic guidance for organizations to balance technological innovation with responsibility and risk management.
Abstract
Artificial intelligence (AI) has become a transformative force in contemporary business management, yet its practical integration remains uneven due to barriers such as technological readiness, competence shortages, and regulatory uncertainty. This study aims to identify the key challenges and development prospects of AI implementation to enhance business efficiency and ensure sustainable development. Employing a foresight research methodology – including expert evaluation, scenario analysis, and semantic modeling – the study utilizes data from a 2025 session at Vilnius TECH University involving interdisciplinary experts. The findings highlight four critical success factors: technologies and innovation; human capital; financing and partnerships; and risk, security, and ethics. While AI’s strategic importance is growing, organizations must address the need for continuous workforce upskilling, stronger ethical governance, and more adaptive regulatory frameworks. Based on these results, a structured roadmap for AI implementation was developed, covering stages from preparation and pilot implementation to scaling and innovation-driven growth. Ultimately, this study contributes an integrated framework for understanding AI in management, providing strategic guidance for organizations to balance technological innovation with responsibility and risk management.