Strategic Intelligence
4 min read

Shaping Insurance: Key Trends from Think2030’s Blind Spot Analysis

In an uncertain world, businesses face challenges similar to navigating a ship through rough waters without a clear view of the horizon.

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June 11, 2024
Strategic Intelligence
4 min read

Recognising the challenge, the Think 2030 group set out to explore the unknown.

They conducted a comprehensive blind spot analysis exercise, evaluating 25 macro forces to identify high-impact factors likely to shape the future over the next 5 to 10 years. The results, while varied across different teams, revealed several common themes that demand attention.

In this blog post, we will delve into these critical macro forces, exploring their potential implications and the provocative questions they raise for the insurance industry and beyond.

Why does quantum computing matter?

Quantum computing is a transformative technology recognised as strategically vital by leading global economies. Unlike traditional computing, which relies on bits, quantum computing uses qubits to process information in fundamentally new ways.

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Quantum Computing

This breakthrough promises to tackle complex challenges such as climate change, hunger, and disease. Its ability to render current cryptographic technologies obsolete and significantly impact the global digital economy underscores its geopolitical importance.

In the insurance sector, quantum computing is anticipated to revolutionise data processing capabilities, risk assessment accuracy, and predictive modelling. This technological leap could make current systems obsolete, presenting both challenges and opportunities.

Provocative thought: How prepared are we for a world where quantum computing can break current encryption methods in seconds?

Why is risk pooling and hyperpersonalisation important?

Building on the transformative potential of quantum computing, another critical shift in the insurance industry is the dual trend of risk pooling and hyperpersonalisation. Both are pivotal in enhancing the stability and responsiveness of various sectors.

Risk pooling promotes stability by sharing risks among a larger group, mitigating the impact of unexpected events. Meanwhile, hyperpersonalisation enables businesses to deliver customised products and services, which enhance customer satisfaction and drive innovation.

Advances in data analytics and artificial intelligence are steering the industry towards hyper-personalised insurance products. These tailored solutions have the potential to disrupt traditional risk pooling models, necessitating a shift in how insurers manage and price risk.

Provocative thought: Are we ready to transition from standardised insurance plans to highly individualised offerings?

How is Gen Z influencing the future?

As risk pooling and hyperpersonalisation reshape the industry, it is crucial to consider how generational shifts reflect broader societal changes. As the largest global generation, Gen Z exerts significant influence through their consumption habits and values.

white young woman with brown hair and brown eyes wearing a black sweater, in the background a young guy wearing a grey sweater, generated by midjourneyy

Their concerns about climate change, inequality, and social justice translate into personal anxieties and expectations for brands, governments, and institutions to act on their agenda.

Gen Z’s digital-native mindset and emphasis on transparency and social responsibility will significantly influence future insurance products and services. Meeting their demand for innovative, tech-driven solutions requires a proactive approach to evolving current offerings.

Provocative thought: How will our current insurance products and services adapt to meet the distinct needs of Gen Z?

What are the risks of digital identities?

As we adapt to the evolving needs and values of Gen Z, another critical aspect to consider is the security of digital identities. In today’s digital age, compromised digital identities pose significant threats to individuals, organisations, and society.

Safeguarding digital identities is crucial for protecting privacy, preventing identity theft, and maintaining trust in digital transactions.

The increasing prevalence of digital identities introduces new risks related to identity fraud and digital identity management. Developing robust systems and strategies to safeguard digital identities is essential for maintaining customer trust in a rapidly digitalising world.

Provocative Thought: How robust are our systems in safeguarding digital identities against evolving threats?

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What are other emerging risks and trends?

As we bolster our defences against the risks posed by compromised digital identities, it's crucial to remain vigilant about other emerging threats and trends identified during the blind spot analysis. These forces could significantly impact the insurance industry and demand proactive strategies.

Large-scale cyber warfare

With the world being more interconnected, large-scale cyber warfare poses major risks to insured infrastructures and businesses.

Such attacks can disrupt critical services, compromise sensitive data, and result in substantial financial losses, highlighting the importance of robust cybersecurity measures and comprehensive insurance coverage.

As cyber threats continue to evolve in sophistication and frequency, addressing this trend is crucial for safeguarding societal resilience, economic stability, and trust in digital systems.

Humanoid and autonomous robots

Robots are revolutionising industries, offering unparalleled potential to streamline processes, boost efficiency, and elevate safety standards.

However, their rapid advancement also raises significant concerns about job displacement, ethical dilemmas surrounding autonomy and decision-making, and the widening gap between technological innovation and societal readiness.

As these machines become increasingly integrated into daily life, navigating the balance between their benefits and risks becomes crucial for shaping the future of work and human-robot interaction.

These technologies could transform various aspects of the insurance industry, from claims processing to customer service automation.

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Extreme weather events

There has been some progress in securing commitments from governments, institutions, and businesses to limit global warming to 1.5 degrees Celsius to avoid catastrophe.

However, the impact of climate crises is accelerating. From the most extreme mega-drought in the last 1200 years in the West and Southwest of America to floods in Dubai and extreme heatwaves in Europe, the changes in historic weather patterns are becoming more frequent and intense, making certain areas increasingly unlivable and uninsurable.

The growing frequency and unpredictability of extreme weather events challenge existing risk models and resource allocation strategies.

Additional blind spots include the rise of smart cities and eco-cities, potential global financial crises, precarious employment trends, the circular economy, declining trust in traditional institutions, autonomous vehicles, and decentralised finance.

Although these forces were not selected as top priorities, they represent potential areas of concern that could impact the insurance industry in various ways.

Use the bling spot and disruption mapping toolkit to do the exercise in your team

Conclusion

The blind spot analysis exercise underscores the need for the insurance industry to remain vigilant and adaptable.

The transformative potential of quantum computing, the shift towards hyperpersonalisation, the influence of Gen Z, and the myriad of other identified trends all point to a future requiring proactive strategies.

To stay competitive and relevant, the insurance industry must embrace these changes. By considering the provocative thoughts raised, insurers can better prepare for a future shaped by rapid technological advancements, evolving consumer expectations, and complex global challenges.

In doing so, they will not only navigate the rough waters ahead but also chart a course towards sustainable growth and resilience.

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