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|  Disruption is now the norm, not the exception. Emerging risks are known but underprioritized; resilience needs embedding into strategy through interconnected risk frameworks, scenarios, and learning. Across industries, leaders face a landscape that is more volatile and interconnected than ever. From cyber-physical convergence to climate extremes, geopolitical fragmentation, and technology-enabled threats, disruption is no longer occasional, it is the baseline. | 
| By Jennifer Caldarella, Managing Director, Global Large Account Strategy, WTW and Lucy Stanbrough, Head of Emerging Risks, Willis Research Network Amid this environment, the term “Black Swan” still circulates widely as leaders are surprised by what feel like overwhelming emerging risks and shifting global trends, and find themselves looking for answers and that next big shock event in the aftermath. Yet in today’s interconnected world, many so-called emerging risks are neither unpredictable, unknowable or deserve the “Black Swan” label. They are risks that have been modelled, analyzed, and repeatedly warned about but too often remain underprioritized, siloed or disconnected from strategic planning. Emerging risks remain underprioritized on many risk registers. Why? Because emerging risks feel misaligned with priorities, are hard to own by a single team, feel diffuse and or haven’t happened yet. Despite detailed modelling and scenario tools, many organizations remain underprepared. We might suggest that rather than compiling lists of risks or modelling likelihood and impact in isolation, organizations must focus on building resilience by going beyond understanding individual risks on the register to mapping their interconnections, assessing their implications for organizational capacity, and implementing frameworks that enable effective response and recovery. Disruption isn’t the surprise – as revealed in the findings of WTW’s Emerging and Interconnected Risks survey – it’s the standard. The real risk is failing to evolve beyond traditional risk approaches that consider risks in silos. It’s time to stop mythologizing risk and start mastering it. So, in this insight, we examine: 
 Why traditional “Black Swan” thinking is no longer sufficient 
 Why traditional “black swan” thinking is no longer sufficient 
  
 Misidentified swans in two large events. Consider systemic cyberattacks, an event described as a black swan event because it hasn’t happened yet. Research by the Cambridge Centre for Risk Studies demonstrates that a sustained global attack on payment systems could inflict $3.5 trillion in economic losses over five years, rising to $16 trillion in a worst-case scenario. While many would see this as a black swan and the value at risk unthinkable, it’s not just a hypothetical – the likelihood for that worst-case scenario is 1:1,000 years. As soon as you identify and prepare often for a systemic level risk, it's no longer unknown, and no longer meets the definition. In truth, many of these so-called black swans weren’t unpredictable – they were unattended. They reveal more about organizational readiness and governance failures than randomness. Consider this: one person’s “Black Swan” may be another’s “Grey Rhino”, “Elephant in the Room” or “Black Jellyfish”. It’s not just about the event or risk label, it’s about who saw it coming, who didn’t, and why. “Across August and September, a swarm of jellyfish caused major disruption twice at one of France's largest nuclear power plants. This has been the classic Black Jellyfish risk case study, but after multiple incidents across the world since the 1990s this risk is now the elephant in the room.” Lucy Stanbrough, Head of Emerging Risks, Willis Research Network Labelling disruption as unforeseeable can become an excuse. It paralyzes decision-making and shifts accountability away from foresight and toward fatalism. This framing matters. Organizations that cling to the myth of unforeseeable emerging risks miss the opportunity to integrate resilience into strategy, rather than treating risk as a set of isolated items to be documented and monitored. 
  
 The limitations of siloed approaches Probability and severity modelling still dominates decision-making, prioritizing the most frequent or individually impactful events, but neglecting the complex, systemic interactions that can transform moderate risks into existential threats. Even when controls are in place, they tend to focus on prevention rather than building the adaptive capacity needed to withstand and recover from disruption. This reliance on traditional approaches leaves organizations exposed in four critical ways. 
 First, it creates strategic blindness: risks may be documented, but they remain disconnected from capital allocation, operational planning and long-term business strategy. The consequences can be severe: when those risks materialize, losses mount far beyond expectations, and standard insurance or hedging arrangements prove inadequate. 
 Second, it leads to protection gaps, as conventional insurance solutions are rarely designed to cover cascading, multi-domain risks that cut across functions and geographies. Using publicly available data on total geopolitical risk premiums and comparing them to reasonable estimates of global exposure, we estimate that approximately 94.5% of geopolitical risk exposure is uninsured. 
 Third, it contributes to operational fragility, with efficiency-driven structures optimized for cost but leaving brittle points of failure when stress-tested by systemic shocks. Research by Siemens shows the world’s largest 500 companies lose about $1.4 trillion annually (11% of revenue) due to unplanned downtime and similar operational disruptions. 
 Finally, it results in missed opportunity. Too often resilience is treated as a cost to be minimized rather than a strategic lever, overlooking its potential to drive growth, innovation and competitive advantage. 
 The evolving landscape of emerging risks Emerging risks are no longer discrete, independent events. In our interconnected risk survey, research showed that 333 executives shared 752 emerging risks and mapped more than 1,606 connections between the 48 survey risks. The top themes illustrate both scale and interconnection complicating decision making: 
 Hardwired into the organization 
 42% of global respondents see AI as one of their top 5 emerging risks. 
 Geopolitics of everything 
 Intensifying and amplifying 1 in 5 (18%) global respondents see natural catastrophe events as one of their top 5 drivers of emerging risks in the next two years 
 An uncertain financial outlook Economic outlook was the #1 risk chosen most often as part of a risk combination. 
 People matter “Human capital perspective threads throughout the reasons why risks were chosen. Respondents chose AI and described the impact of genAI knowledge as a potential flight risk. By only focusing on single risk labels organizations miss opportunities to enable internal connectivity.” Lucy Stanbrough, Head of Emerging Risks, Willis Research Network Risks are visible but disconnected from action and leaving organizations exposed. The survey revealed key strategic vulnerabilities: 
 Only 50% of leaders feel their business model is fit for today’s emerging risks. 
 Confidence falls to 20% when looking ten years ahead, leaving close to 8 in 10 of your peers concerned their approach to the emerging risk landscape will need to radically change. 84% lack a consistent definition of “emerging risk,” causing misalignment across functions. 70% lack sufficient insight to act decisively. 90% report insufficient data or models to quantify exposures. 70% cannot access appropriate insurance solutions for emerging risks. 
 Putting interconnectivity front and center: three actions to prepare for the emerging risk landscape If disruption is now the baseline, the question for leaders becomes: how do we prepare for the inevitable, and adapt when events collide? Resilience must be the organizational lens through which emerging risks are viewed. This requires three shifts: 
 01. Define and embed a strategic emerging risk framework 
 The importance of building an emerging risk process linked to your business model cannot be emphasized enough. Involve a broad range of internal and external stakeholders in risk identification and management processes, with an emphasis on cross-sectoral communication and identifying improvements at an operational and strategic level. Ensure that these stakeholders are engaged early and regularly in the risk management process. “Begin your process by understanding the risk profile, appetite and tolerance of your organization.” Jennifer Caldarella, Managing Director Willis Large Accounts. Does your organization define acceptable risk and are the thresholds consistent? How your organization thinks about cyber threats and its’ effect on supply chain and business interruption but what about the effect on people and performance? Defining your risk appetite is essential to a resilient and optimized strategy. Reviewing emerging risks is also about considering opportunities and your competitive advantage. Changing markets, designing new products and prioritizing strategic growth are all activities taking advantage of emerging risks. 
 02. Model interconnected scenarios, not isolated risks 
 Just as no risk operates in isolation, leaders increasingly need to have a wider understanding of impacts beyond their function – that requires shared understanding and an approach that brings risk management decision making and financial priorities together. Tools such as risk reporting dashboards populated with live risk information can help you more easily filter risk information based on risk category, impact and other categories can help you identify and develop connections between risks. Consider more creative approaches, such as surveying relevant stakeholders to capture insight into underappreciated or unforeseen risk connections or creating scenario exercises simulating one or more risks to explore any potential domino effects. You can also consider multi-layered models that explore cascading effects, use backcasting to learn from past failures, analyze second- and third-order impacts, and leverage generative AI to simulate edge cases. 
 03. Operationalize learning loops. Don’t just survive; adapt and thrive 
 Design a framework with built-in repeatability and continuous review as new risks and interdependencies emerge, possibly owned by a steering group with clear responsibility for keeping on top of interconnected risks in a systematic way and developing an adaptive risk management strategy to remain on track. Conduct ‘After Action Reviews’ to learn from events that impact your business in a positive and negative way. 
 What happened? Ensure concrete actions and consider where controls may need to be updated mid-risk lifecycle, centralize insights, and align lessons with capital protection and innovation. This shifts resilience from reaction to design. 
 Proof in the present: enhancing data center resilience through interconnected risk assessment Challenge: The company needed a comprehensive understanding of the vulnerabilities within its data center clusters to make informed decisions about operational planning, risk mitigation, and to provide due diligence to its customers. The primary concern was the risk of a single event impacting multiple data centers simultaneously, leading to widespread service interruptions. Solution: WTW specialists developed a bespoke shared fate resilience assessment tool tailored to the company's needs. This tool utilized advanced models, including the Global Peril Diagnostic and catastrophe models, to assess current hazards, and the Climate Diagnostic to evaluate the potential impact of chronic hazards such as drought and heat stress on water resources and utilities. The assessment considered various threats, including natural catastrophes, utilities and power outages, proximity to high-risk locations, and geopolitical risks. The solution provided detailed insights into the vulnerabilities of each data center, generating numerical risk scores that allowed the company to prioritize and allocate resources effectively. Additionally, cluster risk scores were developed to understand and compare the cumulative impact of a single event across multiple data centers. Outcome: By adopting this interconnected risk assessment approach, the company enhanced its ability to anticipate and mitigate potential disruptions. The insights gained enabled better strategic planning and more effective responses to interconnected and emerging threats, ensuring greater resilience and uptime for its data center operations. 
 From lists to foresight Organizations that master this mindset will not only survive shocks, but they will also define the future beyond them. | 
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