Quant Professionals Embrace AI for Trading Research, Face Skill Gaps

• Trading and quant professionals increasingly rely on AI for research and turning ideas into testable strategy code.
• A QuantInsti report states 76% of respondents use AI for early-stage research and code scaffolding, speeding up testing and prototyping.
• AI has become an everyday tool in quantitative analysis workflows, based on a survey of over 13,000 registrants from 160 countries.
• Despite AI adoption, 54% of respondents cite skills or know-how as their biggest barrier, followed by data readiness and compute limitations.
• Algorithmic trading education is evolving into ongoing professional development, emphasizing responsible model building and risk oversight.

Why It Matters: AI is transforming quant trading, requiring new skills for effective use.