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Two Years, One AI-Resistant Skill: Three Perspectives from an Algo Trading Conference

ORIGINAL / 2 years, 1 skill AI can't replace | Algo Trading Conference 2026

At QuantInsti's 16th Annual Algo Trading Conference, a panel titled 'How AI is shaping careers in financial markets' featured three speakers offering different views on the one AI-resistant skill worth learning in two years, providing diverse perspectives for quant career planning.

01 ABSTRACT

The content comes from a panel discussion at QuantInsti's 16th Annual Algo Trading Conference. Three panelists respectively suggested learning real-world building and storytelling, pure hard sciences for judgment, or data literacy. These are personal opinions, not a consensus or research conclusion.

02 KEY FINDINGS

  1. Ajay Sharma suggests learning to build things in the real world and to tell stories.
  2. Mridul Arora (Elevation Capital) advocates pure hard sciences, arguing AI will write code but judgment comes from knowing the science.
  3. Tony Lee (Alpaca) emphasizes data literacy to tell signal from noise.
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AI GENERATED SUMMARY / DISCOVERED BY QUANTINSTI QUANTITATIVE LEARNING

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