How can an underwriter stay up-to-date on emerging risks and industry trends?

An underwriter can stay current by treating trend monitoring as a structured part of underwriting, rather than something done only during annual training.

• Follow authoritative industry research. Regularly review publications from organizations such as the Society of Actuaries, Casualty Actuarial Society, Swiss Re Institute, Aon, and other major reinsurers and brokers. For example, the 2026 Society of Actuaries/CAS emerging-risk survey highlights financial volatility and geoeconomic shifts in the near term, while AI and cyber risks become especially prominent over a longer horizon.SOA

• Monitor regulatory developments. Track insurance regulators and relevant legislation, particularly around AI, data usage, privacy, cybersecurity, climate risk, and model governance. In the U.S., the NAIC continues work involving AI and external data in underwriting.NAIC Content

• Use reinsurer and broker intelligence. Reinsurers often have broad visibility across geographies and lines of business. Swiss Re's SONAR program, for example, specifically identifies emerging risks such as extreme heat, deepfakes, new healthcare technologies, drones, and litigation trends.Swiss Re+1

• Watch adjacent industries. Emerging insurance exposures often originate elsewhere. Keep an eye on developments in AI, energy, healthcare, supply chains, cybersecurity, autonomous systems, construction, and financial markets. Current industry research, for example, points to AI infrastructure and data centers creating new concentrations of interconnected risk.Swiss Re+1

• Learn from claims and loss data. Review recent claims, near misses, loss trends, litigation, and unusual exposures—not just historical loss ratios. Look for changes in frequency, severity, causation, and accumulation.

• Talk to people outside underwriting. Regular conversations with claims professionals, actuaries, risk engineers, brokers, reinsurers, legal/compliance teams, and clients can reveal developments before they appear clearly in portfolio data.

• Build a personal "emerging-risk watchlist." For each risk, track:

• What is changing?

• Which industries or policyholders are exposed?

• What evidence exists?

• Could frequency or severity change?

• What coverage or wording might be affected?

• What regulatory or legal developments could change the exposure?

• Use scenario analysis. For risks with limited historical data—such as novel technology—consider plausible scenarios rather than relying solely on historical averages. This is particularly relevant as AI creates exposures involving cyber, fraud, liability, intellectual property, and business interruption.Swiss Re

• Keep underwriting skills current. Develop familiarity with data analytics, emerging technologies, risk modeling, and industry-specific risk controls. Current market reporting indicates that insurers are increasingly using AI and advanced analytics to differentiate risks and support underwriting decisions.Aon

A practical routine could be 15–30 minutes weekly for industry/regulatory news, one deeper emerging-risk report monthly, and a quarterly review of the underwriting portfolio to ask whether new trends are changing assumptions, appetite, pricing, exclusions, or risk accumulation.

The key is not simply knowing what the latest trend is, but translating it into “What does this change about the risk I'm underwriting?”

An effective underwriter should treat staying current as a continuous risk-intelligence process, not just an annual training requirement. A practical approach is:

1. Follow authoritative industry sources. Regularly review regulators, professional bodies, reinsurers, brokers, and actuarial organizations. For example, the 2026 Society of Actuaries/CAS emerging-risk survey highlights AI, financial volatility, geopolitics, cyber risk, and climate-related risks as important areas to monitor.SOA+1
2. Track regulatory and legal changes. Monitor changes affecting coverage, capital, data use, AI, privacy, cybersecurity, sanctions, and climate risk. Regulatory expectations around AI and data governance, for example, are evolving rapidly.Deloitte
3. Read market reports—not just headlines. Quarterly reports from major brokers and reinsurers can reveal changes in capacity, pricing, appetite, exclusions, loss trends, and emerging exposures. Aon’s 2026 market reporting, for instance, points to increasing use of AI and analytics in underwriting alongside heightened attention to geopolitical, cyber, privacy, and catastrophe risks.Aon
4. Build a professional network. Regular conversations with brokers, claims professionals, actuaries, risk engineers, attorneys, reinsurers, and other underwriters often reveal emerging patterns before they appear in formal loss statistics.
5. Learn outside your immediate line of business. An emerging risk can migrate across products. AI, for example, can create cyber, professional-liability, employment, intellectual-property, fraud, and regulatory exposures simultaneously. Current industry research is increasingly treating these risks as interconnected rather than isolated.The CRO Forum+1
6. Use claims and loss data as an early-warning system. Look for changes in claim frequency, severity, litigation behavior, causes of loss, geographic concentration, and new types of exclusions or disputes. Pair internal data with external market intelligence.
7. Develop technology and data literacy. Underwriters increasingly need to understand predictive analytics, AI-assisted underwriting, data quality, cybersecurity, and model limitations. Industry research shows underwriting is becoming more data-driven and granular.Aon+1
8. Create a simple “emerging risk watchlist.” For each risk, track:

• What is changing?
• Which industries/products are exposed?
• What evidence is emerging?
• How could frequency or severity change?
• Are existing policy wordings adequate?
• Does pricing or appetite need to change?
• What information should be requested from insureds?

9. Make it routine. A useful cadence is 15–30 minutes daily for headlines, one deeper industry review weekly, and a monthly emerging-risk discussion with colleagues. The goal is to turn information into underwriting decisions rather than simply accumulating reading material.

The key mindset is “What does this trend change about the risk I am underwriting?” Current market conditions demonstrate why: broad market trends can be misleading because underwriting outcomes increasingly depend on the specific industry, geography, controls, loss experience, and exposure characteristics of each account.Aon

An effective underwriter should treat staying current as a continuous risk-monitoring process, not something done only during annual training. Emerging risks are increasingly interconnected—for example, AI can create cyber, liability, fraud, intellectual-property, and business-interruption exposures simultaneously.Swiss Re+1

Practical ways to stay current

• Follow authoritative industry research. Regularly review publications from organizations such as the NAIC, Swiss Re Institute, Munich Re, Lloyd’s, and major brokers. Swiss Re’s SONAR, for example, specifically tracks emerging risks such as extreme heat, deepfakes, drones, new healthcare technologies, and social inflation.Swiss Re
• Monitor regulatory developments. Keep up with insurance regulators, legislation, court decisions, and supervisory guidance. AI is a particularly good example: regulators are actively developing frameworks for evaluating insurers' AI governance, data use, and high-risk models.NAIC Content
• Track claims and loss trends. Look beyond headline premium growth. Changes in claim frequency, severity, litigation patterns, exclusions, and loss development can reveal emerging exposures before they become obvious.
• Talk to brokers, clients, claims professionals, actuaries, and risk engineers. These people often see changes in exposures before they appear in published statistics. Ask questions such as, “What are you seeing that wasn't common two years ago?”
• Understand the industries you underwrite. An underwriter covering technology, construction, healthcare, energy, or transportation should follow developments in those sectors—not just insurance news.
• Use scenario analysis. Periodically ask, “What happens to my portfolio if this trend accelerates?” Examples include an AI-related liability event, a major supply-chain disruption, extreme-weather clustering, or a systemic cyber event.
• Watch accumulation and interconnectedness. A major emerging issue is that seemingly separate policies can share the same underlying dependency. Data centers, for instance, can concentrate exposure through electricity grids, water supplies, technology providers, and digital infrastructure.Swiss Re
• Build a personal “emerging-risk radar.” Keep a simple monthly list of 5–10 developments, with columns for risk, affected industries, potential coverage impact, evidence/loss activity, and timeframe.
• Learn continuously. Industry conferences, webinars, professional certifications, peer groups, and specialized courses can provide perspectives that routine underwriting work may miss.
• Challenge established assumptions. Emerging risks often don't fit historical loss models. An underwriter should ask whether yesterday's data is still representative of tomorrow's exposure. Swiss Re, for example, emphasizes improved modelling, engineering-led underwriting, and accumulation management for increasingly complex risks.Swiss Re

A simple routine

A useful cadence is:

Daily: scan major insurance, economic, regulatory, and sector news. Weekly: review one deeper research report or emerging-risk topic. Monthly: discuss trends with claims, actuarial, brokers, and subject-matter experts. Quarterly: identify emerging risks that could affect appetite, pricing, limits, wording, or accumulation. Annually: reassess underwriting guidelines and portfolio assumptions against the biggest emerging-risk themes.

The key mindset is “trend → exposure → loss mechanism → coverage → accumulation → underwriting response.” That turns industry news into something directly useful for underwriting decisions.

An underwriter can stay ahead of emerging risks by treating continuous learning and market intelligence as part of the underwriting process, not as occasional professional development.

Practical approach

• Follow authoritative industry research. Regularly review reports from reinsurers, actuarial organizations, brokers, regulators, and specialty insurers. For example, the 2026 Society of Actuaries/Casualty Actuarial Society survey identifies AI, cyber risk, financial volatility, and geopolitical shifts as major emerging concerns.SOA
• Monitor claims and loss trends. Look beyond historical loss ratios. Track changes in claim frequency, severity, litigation, exclusions, and newly appearing causes of loss. Emerging risks often show up in claims before they become obvious in industry forecasts.
• Build a focused intelligence routine. Spend 15–30 minutes each week reviewing industry news, regulatory developments, catastrophe reports, technology developments, and economic indicators. Maintain a simple watchlist of risks relevant to your line of business.
• Talk to people outside underwriting. Brokers, claims professionals, engineers, actuaries, risk managers, cybersecurity specialists, and insureds see different parts of the risk landscape. Cross-functional discussions can reveal exposures that underwriting data alone may miss.
• Use scenario analysis rather than relying only on historical data. This is particularly important for risks such as AI, climate change, autonomous technology, and geopolitical disruption, where historical loss experience may be limited. Swiss Re notes that emerging infrastructure risks can be large, concentrated, interconnected, and lacking sufficient historical data.Swiss Re+1
• Track technology closely. AI is a particularly important example: it is changing both the risks insurers cover and the way insurers evaluate those risks. Cyber underwriters, for instance, are increasingly considering AI-enabled phishing, autonomous attacks, deepfakes, identity fraud, and systemic exposures.CFC+1
• Understand the broader economic and geopolitical environment. Interest rates, inflation, supply-chain disruption, trade restrictions, wars, and political instability can change exposures and claims even when the underlying insured asset hasn't changed. Aon reports that geopolitical tensions were already affecting pricing and underwriting across multiple lines in 2026.Aon
• Use data and analytics to challenge assumptions. Combine internal portfolio data with external catastrophe, economic, industry, and behavioral data. AI and advanced analytics are increasingly being used to make underwriting more granular and improve risk differentiation.Aon
• Participate in professional networks. Industry conferences, underwriting associations, actuarial societies, webinars, and peer groups can expose an underwriter to developments before they become mainstream.
• Turn observations into underwriting actions. For each emerging risk, ask: Which insureds are exposed? How could losses manifest? Are current policy wordings adequate? Do pricing models capture it? Could it create accumulation or systemic risk? What controls should we require?

A simple "emerging-risk dashboard"

An effective underwriter could review these categories monthly:

The key is connecting the trend to the book of business. Knowing that AI or climate change is important isn't enough; the underwriter should be able to translate it into changes in risk selection, pricing, limits, exclusions, wording, accumulation management, and risk controls.

This matters especially now because insurers are dealing with increasingly interconnected risks while competition and abundant capacity can create pressure to loosen underwriting discipline.Financial Times+1