The initial forms of insurance date back to ancient times (~4000–3000 B.C.), where it originated to protect merchants from the risky voyages across oceans necessary for trading, the equivalent of marine insurance today. In ancient Babylon and Greece, marine risk-sharing was invented, such as “bottomry” and “respondentia” contracts, to allow lending money to the merchant. Under these ancient maritime contracts, a loan is given to the merchant to finance the shipment and cargo. If the shipment is lost at sea, the loan is forgiven; otherwise, the loan is repaid with high interest to the lender to cover the risk. The risk is spread from the merchant to the lender, who takes on the risk of the voyage in return for an interest, helping spread the risk across multiple voyages and merchants, effectively functioning as a precursor to modern insurers. Around the same time on the other side of the world, Indian and Chinese merchants started redistributing their goods across multiple ships to minimize the risk of a total loss of their cargo. These seemingly unrelated innovations echo the importance of risk distribution for economic development and show various forms of insurance developed to achieve the same goal in completely different parts of the world, unbeknownst to each other. One of the first foundational principles of mathematical insurance developed during this time for maritime insurance risk was the “Rhodian Sea Law,” which relied on the concept of “general average law.” In simple terms, the concept enforced that if a loss is incurred, the loss will be shared proportionally by the shipowners and cargo owners. The general average law is a maritime law that required all parties in a sea venture to proportionally share losses according to the respective values of their cargo. The general average law and the law of large numbers (LLN), while distinct concepts, both explain why insurance is rooted in mathematical soundness, where aggregating independent unpredictable events leads to a predictable and stable outcome. The LLN allows pooling of risks where the premium collected from a large diverse group would cover the losses of a few. These are the same concepts that the actuarial foundation is built on today. From a legal perspective, the early concept of modern-day liability insurance can be traced back to the Code of Hammurabi (~1750 B.C.), indoctrinating the legal principles of insurance and laying the foundations of insurance contracts. The legal principle of insurance provides a binding framework for risk transfer to safeguard the consumer and to ensure compensation for accidents, establishing trust in the system in aggregate. The code established a rule of law aimed to protect citizens from complete ruin, allowing them to restore their trades after disasters rather than falling into servitude.

The birth of modern insurance in Europe was a gradual process characterized by a series of catastrophic events, such as the Great Fire of London in 1666 and the Great Lisbon Earthquake in 1755. These events challenged the prevalent ideas at the time of divine omnipotence. Slowly afterwards, this led to acceptance of the idea that the world and its future states could be predicted by collecting personal and institutional data for use in underwriting and statistical inference.

The innovation of actuarial science stemmed from the conviction that the laws of probability can be used to predict the future outcome instead of relying on speculations. It emerged from the need to manage risk. The law of large numbers proved the feasibility of the idea of risk pooling. The 17th and 18th centuries were a period of scientific enlightenment, providing grounds for acceptance that using science will improve the way business is conducted. Risk is multidisciplinary by nature, involving multiple fundamental sciences to allow quantifying it. Actuarial science, an applied science, has combined various core disciplines to enable tackling risk assessment in a systematic type of approach to evaluating risk. More recently, actuarial thinking has been heavily influenced by financial economics and sophisticated mathematical modeling, despite the reliance on assumptions and expert judgement.

Underwriting as we know it today emerged in the 16th century in Lloyd’s Coffee House, which initially served as a meeting point for merchants, captains, and ship-owners to share information and secure insurance. In the 17th century, a pivotal moment was the development of “lead” underwriting, which meant setting a rate that others would follow enabled by thorough examination of the “loss book” — the equivalent of modern-day databases. A rate was then established that’s more commensurate with the risk, like modern-day pricing and underwriting work. Lloyd’s continued to become a hub for maritime insurance throughout the 1700s and 1800s, ultimately becoming the world’s leading specialized insurance market.

Insurance is a capital-intensive industry, requiring a massive amount of upfront access to capital to guarantee future payment of liabilities and to enable risk-taking. The innovation of shareholding was a leap to allow for scaling the business and to allow separation between operating capital and risk capital. This separation is vital structurally because it shields the day-to-day capital deployment from the high-risk investments. Shareholding allows for partial ownership of a company and raising significant amount of capital much faster than single ownership models. Adam Smith, who was a key figure in the Scottish Enlightenment in the 17th century, was the first proponent of joint-stock company structures for insurance to allow access to a large capital pool and enable secure accumulation of capital through public financing — a model that today has been proven quite successful and essential to the establishment of capital-intensive ventures.

The last breakthrough in the evolution of modern insurance is the development of catastrophe models that occurred in the 1900s and early 2000s following major disasters. These paradigm-shifting events prompted insurers to move from using nascent tools to complex high-resolution models that aid in predicting these low frequency and high severity risks. Major hurricanes such as Hurricane Andrew in 1992 demonstrated that relying on simple historical data was still not sufficient. Later, despite developments in catastrophe modeling, Hurricane Katrina (2005) exposed limitations of models to date in predicting secondary perils, such as flood and accumulation risk, arising from post-disaster demand surge, prompting another wave of innovation in modeling.

Today one can’t imagine a world without insurance, but the more pressing questions are what would be the repercussions of forgoing this 6,000-year-old industry and how has insurance contributed to the world we live in today? Insurance provides safety, stability, and development. Without insurance, people would be left to pay for the full cost of damages they suffer, and people would be much more cautious and risk averse. The burden of risk also hits vulnerable communities the hardest, as they have less means to recover from a significant loss or setback, exacerbating existing inequalities. With the recent surge in natural catastrophes, these events could wipe out entire communities. People would be less likely to engage in an activity that could result in an injury, and businesses would be hesitant to invest in new or risky ventures, leading to job losses, a decrease in consumer spending, and a domino effect that would decrease overall economic activity. Modern economists argue that the prosperity of the last two centuries wouldn’t have been possible without insurance. Historically, developing nations have struggled to industrialize (especially in the Middle Ages) due to illness, natural disasters, and market volatility, which thwarts the accumulation of capital essential to build industrial economies. Prior to establishing a formal insurance industry, economies were locked in cycles of poverty and slow productivity growth. Preindustrialization, catastrophes like plagues and famine were primarily managed through local community aid and government intervention. The communal responsibility has prevented governments from directing funds to future investment and rather focusing on immediate disaster remediation.

Insurance drives economic growth and has transformed the division of labor, supporting increased urbanization and consequently the economics of trade, allowing more people to be more incentivized to take minor absorbable risks. The impact is far-reaching, beyond insuring individual’s assets. Insurance drives both economic and social growth, making the economy we live in today more robust. Another often overlooked economic contribution of insurance today is as a provider of capital to finance various projects that are vital for the modern economy. Insurers hold massive amounts of capital to support claim payments, and this capital is also invested to fund essential projects and seek investment income. The social value of insurance is that it enables risk-taking, financial freedom for average and low-income households, and hence improves social fairness. Without insurance, only the wealthy and privileged could take risks, increasing social polarization. The existence of insurance reminds us that trust is fundamental to human action and to the evolution of humanity, so without insurance, every development activity could be halted.

The world is currently being revolutionized by artificial intelligence (AI) technologies, and insurance is not an exception. Data analytics and digital-first approaches to customer experience with insurance are thriving, shifti the paradigms of insurance from a reactive “detect and repair” to a proactive “predict and prevent” or “predictive risk management.” This advancement will be enabled through hyperpersonalized, real-time, and digitized systems, which will eventually lower operational costs and insurance prices to consumers. Insurance solutions that are more tailored to individuals’ and businesses’ needs will become more readily available. Tapping into new types of specialized risks instead of traditional risks will also be on the rise due to new and emerging threats. Specialized insurance will continue to challenge traditional actuarial methodologies, requiring deep domain expertise and creative solutions to quantify the risk. Despite the revolution in digital and data, insurance will continue to rely heavily on subject matter experts due to the complexity of underlying risk and the need for deep expertise in the business.

The history of insurance is fundamental to its future because it provides a blueprint for adapting to new risks in an ever-changing world. The history and future of insurance are marked by continuous innovation, resulting primarily from societal shifts. When examining the history of insurance, it becomes clear that insurance has evolved in response to these shifts and the continuous need for economic safety throughout the change. Maintaining the core purpose of collective protection remains the goal across time. These shifts are bound to continue creating new opportunities to the industry. For example, compare the evolution of insurance during the Industrial Revolution with modern-day AI disruption. During the Industrial Revolution, the innovations were driven by managing risks from machinery, urban crowding, and factory fires, while the AI disruption more recently introduced risks from cyber and the integration of AI. Understanding how past innovations influenced the rise of insurance can help actuaries navigate modern challenges more effectively. The common thread remains – risk and the need for collective risk management. Insurance portfolios are constantly changing, and it behooves the industry and actuarial profession to continue adapting to these changes by making history a guiding force for future innovation.