In a global economy, the impacts of physical climate risk—whether extreme weather or longer-term shifts in climatic conditions—often rarely stay where they start. A company may not own the asset that fails, or buy directly from the supplier under stress, yet it can still feel the impact through delays, shortages, price pressure, or reduced service levels. A coffee supply chain offers a simple illustration: Weather, transport, processing, energy, and trade all influence whether the product reaches the shelf on time and at the expected cost.1
That is why many leading companies are expanding their risk assessment beyond direct physical exposure and tier-1 suppliers. The challenge is not in recognizing the interconnection but in understanding its potential implications. A critical question is whether existing analysis extends far enough to identify the dependencies and points of failure that create material risk. The 2021 storm-related outage at a Texas semiconductor plant demonstrates how disruptions ripple through interconnected supply chains. The temporary shutdown reduced semiconductor output, limiting chip availability for automotive and electronics manufacturers.2 As those companies struggled to secure components, production schedules got delayed; inventory shortages increased; and downstream suppliers, distributors, and retailers worldwide experienced delivery disruptions and rising costs—for instance, one company estimated a US$100 million disruption as a result of the outage.3
As weather-related disruptions intensify, the organizations that assess risk across multiple supply chain layers will likely be better positioned to adapt, sustain business continuity, and pursue growth with confidence. Even under ambitious mitigation scenarios, impacts are expected to increase in the decades ahead, making earlier adaptation increasingly valuable.4
This article provides a framework organized around five areas that leaders can use to help assess, strengthen, and adapt their approach to operational resilience.
Many climate risk assessments can provide a detailed view at both facility and direct-supplier levels. However, these assessments often stop before they capture the difficult-to-model second- and third-order dependencies that impact cost, capacity, delivery, and demand. Risks can propagate through suppliers, infrastructure, labor availability, commodity markets, and the communities that support operations.
The systemic effects can take many forms: crop losses that raise input costs; heat that reduces labor productivity; infrastructure disruptions that delay shipments; or shifting climatic conditions that contribute to inflation, migration, and broader economic instability. Because these effects affect markets, institutions, and physical assets, they are rarely confined to one geography or sector.5
Thirty-three percent of over 2,000 global executives surveyed by Deloitte Global in 2025 said natural disasters and severe weather were affecting their business, yet supply chain risk assessment and operational reconfiguration remained among the less common sustainability actions.6 Other research suggests that only about one-fifth of companies have a climate adaptation action plan,7 and that only about half assess the risk exposure of their suppliers.8 Organizations that stop short of this deeper analysis may be overestimating their operational resilience and ignoring critical risks to their business.
To understand how physical risks extend beyond immediate suppliers, companies can benefit from tools that trace dependencies across multiple tiers. Input-output analysis paired with climate risk modeling provides one such approach (see “How does an input-output analysis assess risk?”). It reveals where industries depend directly on vulnerable sectors and where those dependencies extend deeper into the economy, distinguishing immediate risk exposure and system-wide risk across the value chain.9
While the approach is intentionally simplified in figure 1,10 it demonstrates how exposure broadens beyond tier 1. Input-output analysis does not replace supplier-level diligence; rather, it helps prioritize where further investigation is most needed.
The results vary by industry, with some sectors more exposed at the direct supplier level and others carrying greater risk deeper in the value chain. Retail, for example, appears more exposed once deeper dependencies are included, while much of manufacturing’s risk is visible in its direct supply chain.
Without that systemic perspective, companies risk misallocating time, resources, and capital, overemphasizing some value chain risks while missing others. Greater visibility into these deeper dependencies allows businesses to prioritize the right supplier engagement, contingency planning, and capital allocation in advance of disruptions.
Input-output tables map the value of goods and services between sectors across the entire economy, essentially answering two key questions: 1) Who does my industry buy from directly? 2) And what do those suppliers need in turn to deliver their inputs to me? This table tracks the sales and purchases between every sector of the economy. For instance, it shows how much the automotive manufacturing sector purchases from the steel industry, the rubber industry, the electronics sector, and so on. Similarly, it details how much each sector sells to other industries, to final consumers, to the government, and for export.
The power of input-output tables lies in their ability to quantify these interdependencies. They reveal not just direct relationships (for example, a car manufacturer buying steel) but also indirect ones (for instance, the energy required to fuel the blast furnace to make the steel the automaker ultimately buys). So-called direct requirements represent the immediate inputs needed by an industry to produce its output. For instance, a car manufacturer directly requires steel, rubber, and electronic components. Total requirements consider the indirect inputs necessary to produce those direct inputs. To produce steel, the steel industry requires iron ore, energy, and transportation—and that transportation in turn requires energy and other inputs. This allows for the analysis of hidden dependencies and an industry’s entire value network.
The stable conditions that once allowed companies to treat climate disruption as episodic are becoming less reliable in some locations. For business leaders, that raises the cost of narrow, asset-only risk management. Resilience now includes understanding how environmental stressors can move through their value chains, infrastructure, labor markets, and customer behavior.11
Companies do not need to wholly reinvent their operating model, but they should consider treating resilience as a strategic, enterprise priority—not a narrow risk exercise. Leaders should consider connecting a multitier risk assessment with supply chain design, capital allocation, supplier engagement, workforce planning, and governance.
The five-part framework below is intended as a practical starting point. Used together, these levers may help companies identify embedded vulnerabilities, take action, and build competitive advantage. AI and other digital tools can support many of these activities, including scenario analysis, supplier mapping, and operational monitoring.
Understand where climate risks enter the business and how they may move across the full value chain.
Build flexibility, durability, and redundancy into the operating model.
Bring climate scenarios and impacts into corporate strategy, capital allocation, and business planning.
Integrate resilience across the value chain through joint planning, investment, and execution.
Plan for shifting regulations, workforce conditions, and customer behavior.
Resilience should be viewed not only as a way to reduce disruption, but as a source of strategic advantage. Companies with deeper visibility across the value chain can act earlier, adapt faster, and compete more effectively as climate risks intensify.