The AI Shift: Agentic AI is coming for quantitative research !

 


📰 Major Story: Agentic AI Poised to Transform Quantitative Research

“The AI Shift: Agentic AI is coming for quantitative research” — a Financial Times analysis — reports that autonomous AI tools (LLMs that can fetch data, run analyses, and generate reports) are radically speeding up quantitative research workflows once done manually by coders and analysts. This boosts productivity and reproducibility but also raises concerns about a surge in low-quality studies and shifting value toward idea generation rather than technical execution.

📌 Other Relevant News & Trends

🧠 Broader AI & Work Trends:

  • Related commentary highlights how labour markets are changing with AI — not just in technical skills but in soft-skill demand and job design.

💼 Finance & Quant Roles Under AI Pressure:

  • Forbes outlines how AI is reshaping quantitative and financial analysis roles — potentially democratizing research capabilities even in high-skill areas like Wall Street quants.

  • Capital markets and trading workflows are increasingly preparing for agentic AI integration.

🏦 Financial Services & Industry Adoption:

  • Deloitte reports on banks leveraging agentic AI for intelligent automation — signaling that the trend isn’t just academic but enterprise-wide.

🧠 What Agentic AI Means in Context

Agentic AI refers to systems that don’t just respond with text but plan, execute, and act autonomously across tools or workflows — e.g., fetching data, running analyses, writing code, conducting research autonomously, or completing multi-step professional tasks. This goes beyond typical generative models by enabling goal-directed autonomous work.

🧠 Broader Adoption Trends (Recent Context)

  • Enterprise adoption accelerating: CFOs and finance leaders plan significant increases in agentic AI use, with some surveys indicating six-fold growth in adoption planned.

  • Economic forecasts: Research estimates up to $450B in value creation by 2028 through agentic AI — but also notes falling trust in fully autonomous systems and stresses the need for human-AI collaboration.

  • Academic and research platforms evolving: Clarivate and others are embedding agentic AI capabilities into research workflows to accelerate literature synthesis and analytics.

  • Market forecasts: Industry reports spotlight agentic AI growth across sectors like finance, healthcare, and logistics, signaling broad applicability. 

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