Yu Zu-Wei's Perspective: The 'Butterfly Effect' Driving Structural Transformation in the Insurance Industry

The 'butterfly effect' is one of the most famous core concepts in chaos theory, proposed by American meteorologist Edward Norton Lorenz in a 1972 lecture. He suggested that the air disturbance caused by a butterfly flapping its wings in Brazil could potentially trigger a tornado in Texas, USA. This metaphor illustrates how extremely minor changes in initial conditions within a dynamic system can amplify over time to produce surprisingly large impacts on future states. Simply put, the 'butterfly effect' best explains how 'small changes can carry great significance.'

In the insurance industry, the butterfly effect manifests as minor technological innovations—such as wearable devices and artificial intelligence (AI) data analytics—sparking a paradigm shift from 'post-incident claims' to 'preventive care,' 'health promotion,' 'lifestyle support,' 'medical reinforcement,' 'care assistance,' 'mobility safety,' and comprehensive 'lifecycle support for policyholders.' This systemic structural change is transforming insurance services from passive financial compensation into proactive risk management in daily life. The flapping wings of this butterfly are creating a pivotal moment of transformation in insurance management.

This article explores the structural changes driven by AI in the insurance market and the formation of a long-term care (LTC) ecosystem, both triggered by the butterfly effect.

1. AI-Driven Insurance Market:

Generally, life insurance services encompass three major stages in the policy lifecycle: pre-sales, focusing on risk assessment and planning; mid-sales, ensuring underwriting and new contract establishment; and post-sales, emphasizing after-sales services such as claims processing and policy maintenance.

Specifically, intelligent customer service powered by AI offers 24/7 realistic dialogue and consultation, significantly enhancing customer experience. Internally, AI supports compliance, data processing, and workflow automation, greatly improving operational efficiency. In sales, marketing, and training, the introduction of 'AI intelligent coaches' simulates customer interactions to shorten the training period for new agents. AI is also used for sales lead matching and assisting sales channels and call center staff in practical drills.

In underwriting, AI assists in summarizing medical records and diagnoses, solving the past pain point of manually interpreting large volumes of specialized medical documents in English, allowing underwriters to focus more on risk assessment and professional decision-making. In claims processing, the 'Claims Intelligent Assistant' helps interpret diagnostic reports, pathology slides, and medical expense receipts, providing reference for decision-making. This effectively reduces reading and comparison time, lowers the learning curve for new staff, and improves overall claims efficiency.

The insurance industry is transitioning from digitization to intelligentization. In the future, AI will further enhance corporate operational efficiency, risk management, product design, and customer service, strengthening competitiveness and industry resilience.

2. Long-Term Care (LTC) Ecosystem:

Centered on the needs of the elderly, this ecosystem integrates medical care, technology, insurance, and community resources. With the implementation of 'Long-Term Care 3.0,' services have expanded from basic care to health promotion and integrated medical-care models. The goal is to reduce human workload through smart assistive devices and enable life insurance and healthcare systems to provide preventive and comprehensive support.

Notably, health and wellness businesses have been included under Article 146, Paragraph 4 of the Insurance Act as 'other insurance-related businesses recognized by the competent authority.' There are nine categories of health and wellness businesses covering service, channel, and technology applications: health check centers, health management consulting, pharmacy channels, health and medical big data analytics, health and medical digital platform development, health and medical software R&D, health and medical IoT applications, long-term care assistive product businesses, and long-term care support services.

If these businesses are integrated with insurance operations such as claims, underwriting, policyholder services, or insurance product benefits, and meet specific ratio requirements, they qualify as insurance-related businesses. Notably, life insurers can establish health management companies to further integrate health services, long-term care, and talent development systems, building a comprehensive ecosystem for long-term care and health services. In the future, life insurance will not only provide post-incident claims but also leverage its financial strength, distribution channels, and customer base to become a key support force in an ultra-aging society.

Furthermore, life insurers can invest capital into these industries, potentially making insurance funds a crucial source of financing for upgrading the long-term care sector.

In summary, as Taiwan enters an ultra-aging society, AI is driving structural transformation in both the insurance market and the long-term care ecosystem. The traditional marketing models, administrative processes, and service delivery in the insurance industry are continuously evolving. We hope the flapping wings of this butterfly will not only bring innovative thinking to insurance management but also deliver better, innovative services to people.

*The author is an Associate Professor in the Department of Insurance and Financial Management at Chaoyang University of Technology and a Financial Insurance Professional Committee Member at the Taiwan Consumer Protection Association.