Artificial intelligence in business management: the role of innovation environments as technological drivers

Resumo

The integration of Artificial Intelligence (AI) in business operations, supported by innovation environments, has become a key factor in enhancing competitiveness and fostering the sustainable development of organizations. This article adopts a qualitative approach, combining a literature review and case study analysis to examine the impacts of AI and the challenges encountered during its implementation. It analyzes AI’s effects and the obstacles faced in its adoption through successful case studies in different innovation environments, including Porto Digital, Station F, Sophia Antipolis, and Silicon Valley. Key benefits highlighted include process automation, personalized customer service, and continuous innovation, resulting in efficiency gains and strategic adaptability. However, technical complexity, cultural resistance, ethical and privacy concerns, and the need for significant investments remain major challenges. Recommendations include fostering strategic partnerships, continuous capacity-building, and incentive policies that strengthen innovation ecosystems. The study also discusses its limitations, such as the need for more in-depth empirical analyses across diverse contexts and the rapid technological evolution requiring constant updates. Finally, it underscores the importance of a collaborative approach among businesses, governments, and research institutions to maximize AI benefits and address its challenges with ethical and social responsibility. This study contributes to a deeper understanding of how AI, in synergy with innovation environments, can serve as a driver for organizational growth and resilience.