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Measurement of Organizational AI Exposure:

Author

Listed:
  • Latifa Borni

    (University Mohammed Khider, Department of Management)

  • Fella Achour

    (University Mohammed Khider, Department of Economics)

  • Liamine Falta

    (University Mohammed Khider, Department of Management)

Abstract

This study aims to measure and analyze the organizational AI exposure in two different Algerian insurance companies, SAA and Alliance, using a proposed conceptual framework within an AI-assisted comparative case approach to assess AI Exposure through three core dimensions: process, administrative, and competitive exposure. The results from the strategic matrix show that Alliance is positioned within a controlled exposure configuration due to its high internal capabilities (83.65%) and low external pressure (46.6%), reflecting a voluntary and active adoption. In contrast, SAA is positioned at the boundary between defensive exposure and total exposure, characterized by moderate internal exposure (60.4%), high competitive pressure (73.2%), and limited administrative exposure (53%). This study suggests reinforcing digital sovereignty, prioritizing skills upgrading, and adopting flexible administrative models before making extensive investments in artificial intelligence.

Suggested Citation

  • Latifa Borni & Fella Achour & Liamine Falta, 2026. "Measurement of Organizational AI Exposure:," Advances in Economics, Business and Management Research,, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_28
    DOI: 10.2991/978-94-6239-711-8_28
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