This article examines the transformative role of neural networks in econometrics and financial decision-making, emphasizing their influence on personal finance, automation, healthcare, transportation, and human-computer interaction. Neural networks, inspired by the structure of the human brain, have the potential to revolutionize these sectors by enhancing efficiency, accuracy, and decision-making capabilities. In personal finance, they can optimize budgeting, savings, and expenditure management through automated models such as the McCulloch-Pitts neuron. In healthcare, neural networks improve diagnostic capabilities and enable predictive treatment. The article also highlights the applications of neural networks in econometrics to analyze financial patterns, detect fraud, and manage risks more effectively. However, it also addresses the ethical concerns related to data privacy, security, and biases in algorithmic decision-making, stressing the importance of responsible development. Ultimately, it concludes that, despite the challenges, the benefits of integrating neural networks into econometric models and financial systems are substantial and indispensable for modern advancements.

The article examines the strategic priorities for implementing the Law “On the Creative Economy” (No. ZRU-970, 2024) as well as Presidential Resolutions No. PP-64 (February 16, 2026) and No. PP-358 (October 14, 2024), aimed at supporting and advancing the creative sector in New Uzbekistan. Artificial intelligence (AI) is identified as a transformative driver of the creative economy, expanding opportunities for creative production while simultaneously introducing new challenges for traditional professions. The paper explores the impact of AI on creative industries, including art, music, film, literature, and media. Particular emphasis is placed on the role of generative neural networks, machine learning, and natural language processing technologies in enhancing creative efficiency and productivity. Using Uzbekistan as a case example, the study substantiates the strategic importance of training creative professionals equipped with AI-related competencies. The issues of authorship, intellectual property protection, and the evolving freelance labor market in the context of widespread AI adoption are also discussed.

The article discusses the prospects of using artificial intelligence (AI) in the field of tourism. AI offers a wide range of tools and technologies that can significantly change the tourism industry. The article analyzes both the positive and negative experience of using AI, examines examples of successful international projects and highlights the key risks and challenges associated with the introduction of AI. In conclusion, recommendations are offered for the effective and ethically responsible integration of AI into the tourism business