Start-ups in the Era of Artificial Intelligence: Towards Smarter and More Innovative Business Performance

The study aims to analyze the impact of artificial intelligence components—such as machine learning, software engineering, and data analytics—on business intelligence elements including decision-making, human resources, and information systems, with a focus on startups that drive economic growth. The research gap centers on the lack of applied studies examining the relationship between artificial intelligence and business intelligence within the Algerian context, particularly regarding the integrated effect of these advanced technologies on institutional performance in startups. To address this gap, the study employed a quantitative methodology by designing a questionnaire distributed to a random sample of 345 startups in Algeria, with data analyzed using Smart PLS 4 software. The results revealed statistically significant positive effects of artificial intelligence components on business intelligence elements in Algerian startups, with varying effects from weak to moderate. Additionally, a strong and positive overall impact of artificial intelligence on business intelligence was confirmed with a value of 0.863, indicating a significant and robust relationship and the importance of AI in enhancing business intelligence performance in startups. The study recommends increasing investments in technical staff training, improving data infrastructure and information systems, and adopting comprehensive digital transformation strategies in startups. It also emphasizes the importance of future research focusing on the long-term impact of AI technologies across multiple sectors of the national economy to ensure sustainable development and foster innovation in the modern business environment.