Paper: arXiv 2304.10212

Authors: Michael Kopp

Abstract

Recent progress in deep learning, a special form of machine learning, has led to remarkable capabilities machines can now be endowed with: they can read and understand free flowing text, reason and bargain with human counterparts, translate texts between languages, learn how to take decisions to maximize certain outcomes, etc. Today, machines have revolutionized the detection of cancer, the prediction of protein structures, the design of drugs, the control of nuclear fusion reactors etc. Although these capabilities are still in their infancy, it seems clear that their continued refinement and application will result in a technological impact on nearly all social and economic areas of human activity, the likes of which we have not seen before. In this article, I will share my view as to how AI will likely impact asset management in general and I will provide a mental framework that will equip readers with a simple criterion to assess whether and to what degree a given fund really exploits deep learning and whether a large disruption risk from deep learning exist.

Complexity vs Empirical Score

  • Math Complexity: 2.0/10
  • Empirical Rigor: 2.5/10
  • Quadrant: Philosophers — conceptual discussion, limited math and data

Why this score: This paper presents a qualitative, high-level commentary and mental framework for how deep learning impacts asset management rather than an empirical or mathematical study. While it offers clear conceptual insights and strategic criteria for evaluating fund AI usage, it lacks quantitative backtesting, formal mathematical formulations, and detailed empirical data.

Research Flowchart

  flowchart TD
    A["Research Goal: Assess AI/Deep Learning Impact & Disruption Risk in Asset Management"] --> B["Inputs: Recent Deep Learning Advances & Capabilities"]
    B --> C["Methodology: Synthesize AI Applications & Develop Mental Framework"]
    C --> D["Analysis: Formulate Criteria to Evaluate Deep Learning Adoption in Funds"]
    D --> E["Outcomes: Predictive Framework for Asset Management Impact & Fund Disruption Risk"]