Araştırma Makalesi

Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks

Cilt: 11 Sayı: 3 30 Eylül 2026
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Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks

Öz

Artificial intelligence (AI), and generative AI in particular, is being adopted across the insurance industry at the same time that customers are migrating to digital channels and demanding greater personalization. The purpose of this review is to examine how AI is reshaping insurance, why it can benefit customers, and how it can simultaneously leave insurers worse off. Methodologically, the study is a structured narrative review rather than an empirical study: peer-reviewed research and authoritative industry, regulatory, and market sources published primarily between 2022 and 2026 were purposively selected for relevance, recency, and authority, and were synthesized around the insurance value chain and the opportunity- risk duality of AI. The review finds that adoption of AI is now near-universal among insurers, yet only a small minority have scaled it beyond pilots. AI delivers tangible customer benefits- faster service, broader access, and personalized pricing and products aligned with documented demand for digital, tailored experiences and the emerging shift to agentic AI is beginning to reshape distribution, augmenting human agents while threatening to disintermediate them. The same capabilities, however, generate countervailing risks: generative tools both strengthen and undermine fraud defenses by enabling deepfake and synthetic claims; they intensify data-privacy tensions; and opaque models raise concerns about bias, fairness, and trust that are now being codified in regulation. The study concludes that AI’s net effect on insurers is conditional rather than predetermined, depending on governance, transparency, and the management of an inherent tension between personalization and privacy. The review contributes an integrative synthesis that links AI’s benefits to their countervailing risks and identifies directions for future research.

Anahtar Kelimeler

Kaynakça

  1. Accenture. (2021). Guiding insurance customers to safety and well-being: Accenture insurance consumer study. Accenture. https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Accenture-Insurance-Consumer-Study-2021.pdf
  2. Accenture. (2023). Seeing the people behind the policies: Accenture global insurance consumer study. Accenture. https://www.accenture.com/content/dam/accenture/final/industry/insurance/document/Accenture-Insurance-Consumer-Study-People-Before-Policies.pdf
  3. AI Risk. (2025). Agentic commerce: The insurance distribution takeover. https://www.ai-risk.co/our-insights-agentic-enterprise/agentic-commerce-the-insurance-distribution-takeover
  4. AllAboutAI. (2025). AI in insurance statistics 2026. https://www.allaboutai.com/resources/ai-statistics/ai-in-insurance/
  5. Bhattacharya, S., Castignani, G., Masello, L., & Sheehan, B. (2025). AI revolution in insurance: Bridging research and reality. Frontiers in Artificial Intelligence, 8, 1568266. https://doi.org/10.3389/frai.2025.1568266
  6. Boston Consulting Group. (2025). Insurance leads in AI adoption. Now it’s time to scale. Boston Consulting Group. https://www.bcg.com/publications/2025/insurance-leads-ai-adoption-now-time-to-scale
  7. Capgemini. (2026). Financial services top trends 2026: Insurance. Capgemini. https://www.capgemini.com/wp-content/uploads/2025/12/Capgemini_Top-Trends-2026_Insurance.pdf
  8. CIO Dive. (2026). Insurance industry still stuck in AI pilot phase, report finds. https://www.ciodive.com/news/insurance-industry-stuck-ai-pilot-phase/816759/

Ayrıntılar

Birincil Dil

İngilizce

Konular

Aktüerya, Finansal Kurumlar, Özel Sigorta İşletmeciliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Eylül 2026

Gönderilme Tarihi

22 Haziran 2026

Kabul Tarihi

24 Eylül 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 11 Sayı: 3

Kaynak Göster

APA
Muradli, G. (2026). Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks. Turkish Academic Research Review, 11(3), 709-720. https://doi.org/10.30622/tarr.1976749
AMA
1.Muradli G. Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks. tarr. 2026;11(3):709-720. doi:10.30622/tarr.1976749
Chicago
Muradli, Goncha. 2026. “Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks”. Turkish Academic Research Review 11 (3): 709-20. https://doi.org/10.30622/tarr.1976749.
EndNote
Muradli G (01 Eylül 2026) Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks. Turkish Academic Research Review 11 3 709–720.
IEEE
[1]G. Muradli, “Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks”, tarr, c. 11, sy 3, ss. 709–720, Eyl. 2026, doi: 10.30622/tarr.1976749.
ISNAD
Muradli, Goncha. “Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks”. Turkish Academic Research Review 11/3 (01 Eylül 2026): 709-720. https://doi.org/10.30622/tarr.1976749.
JAMA
1.Muradli G. Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks. tarr. 2026;11:709–720.
MLA
Muradli, Goncha. “Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks”. Turkish Academic Research Review, c. 11, sy 3, Eylül 2026, ss. 709-20, doi:10.30622/tarr.1976749.
Vancouver
1.Goncha Muradli. Artificial Intelligence in Insurance: Industry Transformation, Customer Benefits, and Emerging Risks. tarr. 01 Eylül 2026;11(3):709-20. doi:10.30622/tarr.1976749

Turkish Academic Research Review 
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