Filtern nach
Letzte Suchanfragen

Ergebnisse für *

Zeige Ergebnisse 1 bis 1 von 1.

  1. Artificial intelligence and high-skilled work
    evidence from analysts
    Erschienen: 2020
    Verlag:  Swiss Finance Institute, Geneva

    Policymakers fear artificial intelligence (AI) will disrupt labor markets, especially for high-skilled workers. We investigate this concern using novel, task-specific data for security analysts. Exploiting variation in AI's power across stocks, we... mehr

    Zugang:
    Resolving-System (kostenfrei)
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    keine Fernleihe
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 544
    keine Fernleihe

     

    Policymakers fear artificial intelligence (AI) will disrupt labor markets, especially for high-skilled workers. We investigate this concern using novel, task-specific data for security analysts. Exploiting variation in AI's power across stocks, we show analysts with portfolios that are more exposed to AI are more likely to reallocate efforts to soft skills, shift coverage towards low AI stocks, and even leave the profession. Analyst departures disproportionately occur among highly accurate analysts, leaving for non-research jobs. Reallocating efforts toward tasks that rely on social skills improve consensus forecasts. However, increased exposure to AI reduces the novelty in analysts' research which reduces compensation

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    Schriftenreihe: Research paper series / Swiss Finance Institute ; no 20, 84
    Swiss Finance Institute Research Paper ; No. 20-84
    Schlagworte: arti cial intelligence; big data; technology; automation; sell-side analysts; job displacement; labor and nance; social skills; non-cognitive skills; tasks; skill premium; skill-biased technological change; compensation
    Umfang: 1 Online-Ressource (circa 74 Seiten), Illustrationen