AI Acceleration Reshapes Fintech Development Landscape, Says GMind Partner at Industry Event

Artificial intelligence is fundamentally transforming financial technology development, enabling products that would have required substantial capital investment a decade ago to reach markets faster and more efficiently, according to industry experts speaking at Benzinga's Fintech Day & Awards 2025. Olga Zhukov, partner at custom software development company GMind, emphasized during an interview that while AI tools provide unprecedented speed, successful implementation requires deep technical expertise and industry-specific knowledge.

The annual event, now in its eleventh year, brought together leaders from AI, investing, and fintech sectors to examine current and future industry trends. A central discussion point was how rapidly evolving technology, particularly artificial intelligence, is impacting trading platforms and financial services. Zhukov noted that AI streamlines product development through automation, data analysis, and rapid prototyping, making it significantly easier to bring financial products to market.

GMind, which builds and modernizes technology infrastructures for online investing platforms, broker-dealers, and asset management firms, has collaborated with companies including WealthCharts, Ultrade, and ETNA Trader. The company's expertise spans trading platforms, digital wealth management, brokerage systems, payment integrations, blockchain solutions, and Amazon Web Services infrastructure. Through its GMind Ventures branch, the firm also invests in early-stage startups and assists fintech platforms in accelerating technology development.

"It's great to see how technology is developing so fast. Something that wouldn't have been possible ten to fifteen years ago without having a lot of capital invested, today can be done so much easier, so much faster," Zhukov stated during the event. She emphasized that the critical components for leveraging AI-based tools effectively include deep expertise and technical acumen, enabling proper problem formulation, solution validation, and ensuring underlying technology reliability and security.

This technological acceleration carries significant implications for the financial industry, where working with experienced vendors who understand both AI's technical landscape and industry-specific challenges—including compliance requirements, data sourcing, integration, and migration—becomes essential. The evolution represents more than just faster development cycles; it fundamentally changes how firms approach innovation, risk management, and market competition.

As AI continues to drive technology's rapid evolution in financial services, companies positioned at the intersection of technical expertise and industry knowledge are becoming increasingly valuable partners for organizations seeking to scale and build enterprise-grade solutions. The developments discussed at Benzinga's event suggest that while AI tools democratize certain aspects of fintech development, specialized knowledge remains crucial for navigating the complex regulatory and security landscape of financial technology.