Exploring the Role of Artificial Intelligence in Equity Crowdfunding Platform Optimization

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Authors: Murat Aydemir, Ahmet Faruk Aysan, Muhammad Fazlurrahman Syarif
Cited by: 0

Abstract

This chapter investigates the transformative potential of artificial intelligence (AI) in optimizing equity crowdfunding platform. By employing machine learning, predictive analytics, and natural language processing, AI can enhance predictive accuracy, user experience, and network interactions. Comprehensive data collection and pre-processing enable the development of robust machine learning models for campaign outcome forecasting. Sentiment analysis and network theory further elucidate investor behavior and platform dynamics. The integration of AI-driven methodologies strengthens a more efficient, transparent, and engaging investment environment, ultimately supporting the growth and sustainability of the crowdfunding ecosystem. As the landscape of equity crowdfunding continues to evolve, the adoption of AI technologies will likely play a pivotal role in shaping the future of this financing mechanism, ensuring that it remains accessible and effective for both entrepreneurs and investors.

Fields of Study & Subjects

FinTech Crowdfunding Digital Finance Artificial Intelligence Applications Private Equity and Venture Capital

Publication details

Journal / source
Routledge eBooks
Pages
103–123
Publication date
13 March 2026
Language
EN
Document type
Book chapter