The increasing capabilities of artificial intelligence (AI) are changing the way organizations operate and interact with users both internally and externally. The insurance sector is currently using AI in several ways but its potential to disrupt insurance is not clear. This research evaluated the implementation of AI-led automation in 20 insurance companies. The findings indicate four business models (BM) emerging: In the first model the insurer takes a smaller part of the value chain allowing others with superior AI and data to take a larger part. In the second model the insurer keeps the same model and value chain but uses AI to improve effectiveness. In the third model the insurer adapts their model to fully utilize AI and seek new sources of data and customers. Lastly in the fourth model a technology focused company uses their existing AI prowess, superior data and extensive customer base, and adds insurance provision.
Funding
This research is part of the TECHNGI project (Technology Driven Change and Next Generation Insurance Value Chains) that is funded by the Economic and Social Research Council (ESRC) in the UK, grant number ES/S010416/1.
History
School
Business and Economics
Department
Business
Economics
Published in
Emerald Open Research
Volume
1
Citation
Zarifis A, Holland CP and Milne A. Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models [version 1; peer review: awaiting peer review]. Emerald Open Res 2019, 1:15 (https://doi.org/10.35241/emeraldopenres.13249.1)
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