New Delhi: A growing number of trading and quantitative (quant) professionals worldwide are turning to Artificial Intelligence (AI) not just for speed, but to convert ideas into testable strategy code, according to a report.

QuantInsti’s State of Algorithmic Trading Education 2025 report found that 76% of respondents now rely on AI for early-stage research and code scaffolding, accelerating testing and prototyping. AI has shifted from a frontier experiment to a routine part of the quant workflow, the survey of over 13,000 registrants from 160 countries revealed.

However, gaps remain. About 54% of professionals cited skills or know-how as the biggest barrier, followed by data readiness, compute limitations, and internal approvals.

“AI is now embedded in how quants think, build, and iterate. But it also exposes the urgent need for deeper skills—beyond basic coding—to ensure responsible model building and risk oversight,” said Nitesh Khandelwal, Co-Founder, QuantInsti. The report notes that algorithmic trading education is evolving into continuous professional development, combining fundamentals with applied skills, and using AI to accelerate research while maintaining validation and risk management.