A logistics company’s warehouse sensors, part of an IoT-linked inventory system, are breached during an attack, causing the fire suppression system to fail and flooding the building. The claim cannot be easily classified under either the cyber policy or the general liability policy, since neither was drafted with this kind of failure in mind. That is exactly what emerging risks tend to look like in reality: not a speculative problem of the future, but a genuine loss occurring in the gap between insurance coverages that were intended for a different type of world.
What exactly are emerging risks? They are risks that are new, changing rapidly, or not well enough understood for historical loss data to be used reliably in setting prices. For insurance companies, this creates a real underwriting problem, since the whole field of insurance pricing relies on past loss experience to price future risks.
This guide covers the emerging risks definition the industry actually works from, the major categories carriers are tracking right now, and how underwriting teams approach pricing and structuring coverage for exposures without twenty years of claims history behind them.
If your team is carrying out the risk identification and documentation processes mentioned here, then our page on risk assessment support explains the way in which that basic work is usually organized.
What are the emerging risks in the field of insurance?
Emerging risks in insurance are newly developing or rapidly changing exposures that can go unrecognized for a long time until they surface as clear trend developments or sudden loss events. What distinguishes them from ordinary risk isn’t necessarily how dangerous they are, but how difficult they are to quantify: occurrence probability, loss severity, and overall impact are all exceptionally hard to estimate for something that has rarely or never happened before.
This is a meaningfully different problem than pricing a well-understood risk like auto collision or standard property fire. Those risks have decades of actuarial data behind them. Emerging risks by definition don’t.
Emerging Risks vs. Traditional Risks: What Makes Them Different
Industry research identifies four dimensions that distinguish emerging risks from the kinds of risks that underwriters routinely price: genuine novelty (referring to something that has never existed before), changes in the characteristics of an existing risk (involving a well-known exposure becoming something new), knowledge gaps (which consist of a lack of scientific or actuarial understanding of how the risk actually behaves), and governance issues (such as regulatory or legal frameworks that have not kept up with the risk in question).
A risk can be classified as “emerging” in each of these ways. Liability issues related to artificial intelligence are new. The property risk caused by climate change represents a changing feature of an already existing exposure. The health effects of nanomaterials fall clearly within the knowledge-gap category. As for artificial intelligence regulation, it still constitutes a governance gap in most jurisdictions.
Why Emerging Risks Challenge Traditional Underwriting
Insurance works because risks are pooled and spread among many policyholders, so losses incurred by a few are offset by the premiums paid by the many. Emerging risks often disrupt this system because many are systemic rather than independent. If one policyholder suffers a loss because of a widespread cyberattack or a major climate event, thousands of others usually suffer a similar loss at the same time, which is the opposite of the diversification insurance relies on.
Because of this systemic aspect, COVID-19 became a clear example for the industry: one event had a simultaneous, global impact on policyholders, on a scale that raised questions about whether traditional insurance pooling could even absorb it. Underwriters’ reluctance to cover genuinely new types of risk is not merely stubbornness; it is a reasonable reaction to a risk that currently cannot be priced with any real confidence.
Major Categories of Emerging Risk in Insurance Today
Cyber and artificial intelligence risk:
Cyber and artificial intelligence risks are growing because regulatory and insurance coverage systems have not kept up with the speed at which AI is being adopted. Insurers are now taking on AI-related risk in cyber, errors and omissions, and directors and officers insurance, but coverage remains fragmented and, in some cases, only partially protects against AI-related losses. There is also an emerging risk involving data quality: insurance companies that base underwriting and reserving decisions on inaccurate or biased data are likely to face real regulatory and reputational repercussions as global AI governance rules take effect.
Climate and environmental risk:
Climate and environmental risks are such that weather-related disasters are occurring more often and causing greater damage, creating a substantial gap in insurance coverage. In a recent year, global natural disasters led to economic losses estimated at $368 billion, only about 40 percent of which was covered by insurance. This protection gap is now a key factor in how insurance companies approach climate-related underwriting.
Technology and IoT risk
The risks associated with technology and the Internet of Things combine traditional cyber exposure with real-world consequences such as property damage or bodily injury, as in the warehouse example above. Because cyber policies have long focused on data and network intrusions, and general liability policies were not designed to cover failures of connected devices, IoT incidents often fall into a coverage gap that neither policy type was intended to address.
Geopolitical and systemic risk
Over the last ten years, civil unrest has risen sharply, and events related to geopolitical instability are now more often treated as insurable, measurable risks rather than general macroeconomic issues.
Long-tail emerging exposures
Exposures that are just now appearing. Certain types of risk are similar to the asbestos case: damage caused by a new material or technology that doesn’t become apparent for decades, creating a liability tail that is hard to provide for when the policy is first drawn up. Present-day nanomaterial health effects are a frequently given example of this type of situation.
How Insurers Identify and Monitor Emerging Risks
Because they cannot rely on their own historical claims data to identify exposures that have not yet resulted in claims, insurers generally detect emerging risks through an external, cross-functional approach rather than as a purely internal underwriting activity. This involves keeping up with industry risk reports from reinsurers and brokers, maintaining an internal emerging risks register that is reviewed periodically, and running scenario planning exercises for exposures that still lack actual loss data.
Here, cross-functional involvement is more important than in traditional underwriting because emerging risk identification brings together claims trends, legal and regulatory monitoring, catastrophe modelling, and underwriting judgment all at the same time, rather than having them remain within the usual workflow of a single department.
Underwriting Approaches for Emerging Risk
Because standard actuarial pricing breaks down for risks without reliable loss history, carriers use a different toolkit for emerging exposures:
- The language used in the manuscript policy was devised specifically for the exposure, rather than using standard-form language not created with that purpose in mind.
- The carrier can provide limited coverage for the new type of exposure without assuming unlimited liability, through sub-limits and exclusions that include buy-back options.
- Structures that pay out based on a specific trigger event, rather than after a detailed assessment of the loss, are useful when the loss itself is hard to quantify accurately but the triggering event is clear.
- For systemic risks, such as large-scale cyber risk, reinsurance and public-private partnership backstops are available, with some voices in the industry suggesting that certain catastrophic exposures should be removed entirely from the commercial market and handled instead through a government-backed reinsurance scheme.
Carriers are also using knowledge-sharing partnerships to build underwriting confidence for new types of exposure, for example by working with universities alongside reinsurers on climate prediction modeling and by partnering with technology companies to develop predictive cyber risk models.
Common Mistakes Insurers Make with Emerging Risk
- Treating emerging risks as something to be reported on once, rather than continuously monitored, because exposures are changing faster than the annual review cycle can keep up.
- Using standard form language in genuinely new cases may create coverage gaps or unintended coverage that only becomes apparent after a claim is made.
- Without accounting for correlation and systemic exposure, it treats a new risk as an independent, diversifiable loss when, in fact, it clusters heavily among policyholders.
- To act, waiting for perfect data would mean usable data would always lag behind exposure, since emerging risks are such that this is the case.
How Carriers Can Build Emerging Risk Capability
The key to developing real capability in this area isn’t simply about employing more actuaries; it’s about setting up the documentation, tracking, and monitoring systems that enable the underwriting and risk teams to identify an emerging exposure early on and take action, rather than finding out about it only after a series of claims have been made. To achieve this it is necessary to keep the emerging risks register up to date, monitor developments in the regulatory environment relating to AI and climate disclosure requirements, and ensure that updates to the underwriting guidelines are synchronized across all teams who are writing business that could be affected.
We help U.S. insurance carriers, MGAs, and TPAs with risk assessment documentation, regulatory tracking, and underwriting file support so they can put this kind of continuous monitoring into practice instead of relying on an annual report that no one ever looks at. Our insurance compliance services section focuses specifically on regulatory tracking, which is becoming more important with AI and climate-related disclosure requirements.
In-House vs. Outsourced Support for Emerging Risk Monitoring
| Factor | Fully In-House | KPO-Supported Monitoring |
| Risk register maintenance | Depends on staff bandwidth between review cycles | Maintained continuously as part of ongoing documentation support |
| Regulatory tracking (AI, climate disclosure) | Falls to whoever owns compliance internally | Coordinated tracking across jurisdictions and lines |
| Underwriting guideline updates | Limited by internal coordination capacity | Supported across teams as guidance evolves |
| Cost during quiet periods | Fixed headcount regardless of activity | Scales with actual monitoring and documentation workload |
Carriers weighing this tradeoff more broadly can review our comparison ofin-house versus outsourced insurance operations, which covers cost and SLA differences that apply just as directly to emerging risk monitoring as to underwriting execution.
How Techsurance Supports Emerging Risk Readiness
Techsurance collaborates with US carriers, MGAs, and TPAs regarding the risk assessment documentation, regulatory tracking, and support for the underwriting file since emerging risk monitoring depends on these elements, ensuring that the operational background remains up to date so that underwriting teams are not having to work from an outdated annual review when a new exposure begins to generate claims. For more information about our underwriting support, see our underwriting support page, or for details on our full range of services, refer to our services page.
Conclusion
Emerging risks are placing a serious strain on the fundamentals of insurance, since many of these risks exhibit correlated, systemic behavior that standard risk-pooling mechanisms were not designed to handle. Insurance companies that regard it as a continuous monitoring activity rather than something they only deal with in their annual report are usually able to identify the next coverage gap of an IoT type or the next question regarding AI liability before it leads to a surge of disputed claims, rather than after.
FAQs
What are emerging risks in insurance?
Exposures that are currently developing or changing quickly, such as those relating to AI liability, cyber-physical events, or property risks caused by climate, lack the historical loss data required to price them with the same level of confidence as traditional, well-known risks.
What’s the difference between an emerging risk and a traditional risk?
Traditional risks have enough historical data to be priced using standard actuarial methods, whereas emerging risks are new, changing rapidly, poorly understood, or fall within a regulatory gap, making standard pricing methods unreliable.
Why are emerging risks harder to underwrite than standard risks?
Because many emerging risks are systemic rather than independent, one triggering event can cause correlated losses across many policyholders at the same time, weakening the risk-pooling mechanism on which insurance relies.
What are examples of emerging risks in insurance today?
Liability issues involving artificial intelligence, cyber risks from AI-driven attacks, risks from third-party vendors, property and casualty losses caused by climate change, incidents involving the Internet of Things that combine cyber and physical damage, and long-tail exposures from new materials or technologies.
How do insurers price risks without historical loss data?
Through tools built for uncertainty rather than precise pricing: manuscript policy wording, sub-limits with buy-back options, parametric triggers, and reinsurance or public-private backstops for the most systemic exposures.
Can outsourced support help carriers monitor emerging risk?
Yes. Outsourced support can sustain risk register maintenance, regulatory tracking, and underwriting guideline coordination, while the carrier keeps underwriting judgment and risk appetite decisions.
