A mismatch between climate risk and decision horizons
Tipping Points: Decision-Making under Deep Uncertainty – J.P. Morgan
May 2026
By Mark Jansen, CSF, based on J.P Morgan’s Climate Intuition report
The average S&P 500 CEO serves 7.6 years. The average board member serves 7.8. That is the window in which many corporate climate decisions are made. It is also the window in which executives tend to ask a very practical question: what will climate change mean for my business while I am still responsible for it?
J.P. Morgan’s latest Climate Intuition report, authored by Dr Sarah Kapnick, Global Head of Climate Advisory, shows why that question is becoming harder to answer. Climate change is no longer only a matter of gradual physical risk. Some of the most consequential risks may come from tipping points: thresholds in the Earth system where additional warming can push natural systems into a new, self-reinforcing state. These changes may be difficult, or in some cases impossible, to reverse. They are uncertain in timing, but potentially severe in impact. That combination creates a problem for finance.
Financial markets are relatively good at pricing risks with historical patterns. They struggle with risks that have no modern precedent, unclear timing, nonlinear effects, and consequences that may only become visible after a threshold has already been crossed. Climate tipping points sit exactly in that category. They expose a mismatch between the long-term nature of climate science and the shorter time horizons of corporate planning, credit underwriting, insurance pricing, and investment decision-making.
The science is already giving clearer warning signals. Tipping points can occur across ecosystems, ocean currents, and the cryosphere, including sea ice, glaciers, permafrost, and snow. Examples include coral reef die-off, Amazon dieback, Greenland ice sheet collapse, and a potential weakening or collapse of the Atlantic Meridional Overturning Circulation. Several of these risks may become more relevant around 1.5 degrees of warming, which J.P. Morgan notes as the recent three-year global average for 2023 to 2025.
Coral reefs are the clearest near-term example. In 1998, the first global bleaching event affected 21% of reefs worldwide. During the 2023 to 2025 bleaching event, 84% of global reefs were under bleaching-level heat stress, the highest share ever recorded. This matters far beyond ecology. Coral reefs support an estimated 25% of marine life at some point in their life cycle. Their collapse would affect commercial fisheries, coastal tourism, and natural coastal protection. In financial terms, this is not a distant abstraction. It is a risk to revenues, assets, livelihoods, and local economies.
Why standard financial models struggle
The difficulty is that standard financial frameworks are not built for this type of risk. Discounted cash flow models often rely on three-to-five-year forecast periods. Insurance contracts are frequently repriced annually. Catastrophe bonds typically mature after only a few years. Bank loans and private credit exposures often sit within shorter contractual maturities. These instruments are useful for many forms of risk, but they are poorly suited to low-probability, high-impact threshold events that may sit outside the immediate pricing horizon and then materialise abruptly.
This helps explain why tipping points remain under-modelled. A survey by UNEP FI and Global Credit Data, cited in the J.P. Morgan report, found that only 5% of banks had even partially integrated tipping points into their risk assessments. That does not simply reflect a lack of awareness. It reflects a structural problem. If a risk has no historical analogue, uncertain timing, and potentially systemic consequences, it cannot easily be inserted into models that depend on historical calibration and smooth projections.
J.P. Morgan illustrates this through a discounted cash flow example with three scenarios. The first is a base case, where losses follow historical probabilities. The second is a climate drift scenario, where losses increase gradually as physical climate risk accumulates. The third is a tipping point scenario, where loss probabilities shift sharply after a threshold is crossed. Before the tipping point, the gradual climate scenario and the tipping-point scenario may look similar. After the threshold, the risk profile changes fundamentally. Rare events can become much more frequent, and the financial exposure can rise faster than a conventional model would suggest.
Repricing before the physical event
The problem is not limited to costs. Revenues can also reprice before the physical tipping point is fully visible. If investors, consumers, regulators, or insurers begin to anticipate the consequences of a tipping point, valuations may adjust in advance. A coastal tourism business dependent on coral reefs, for example, does not need to wait for complete reef collapse before demand, financing conditions, insurance costs, or asset values begin to move. Markets can reprice expectations before the event itself fully unfolds.
This makes climate tipping points a horizon problem as much as a climate problem. The longer an investor’s time horizon, the more relevant these risks become. Sovereign wealth funds, pension funds, endowments, and family offices may need to consider tipping-point exposure across decades. Private equity, infrastructure investors, and insurers face a different but still material challenge, especially where assets are geographically concentrated or exposed to physical risk. Shorter-horizon investors may not hold the asset long enough to experience the full physical impact, but they may still face repricing risk if scientific evidence, regulation, or market sentiment changes during the holding period.
The report also suggests that repricing may not happen evenly across asset classes. Illiquid real assets with direct exposure to climate risk may be affected first. Credit markets may respond before equity markets because debt investors focus more directly on downside protection and default risk. Equity investors, by contrast, may continue to price upside if they believe a company can adapt, reposition, or benefit from resilience and climate-solution opportunities. This could create a sharper divergence between equity and debt pricing for exposed sectors.
Decision-making under deep uncertainty
Governments are already treating some tipping-point risks through a national security lens. The Nordic Council of Ministers has examined the potential collapse of the Atlantic Meridional Overturning Circulation and recommended early warning systems, emissions reduction, and planning across multiple future scenarios. The UK has supported climate intervention research through the Advanced Research and Invention Agency. Japan has launched a moonshot programme focused on weather modification technologies. These initiatives reflect a different decision logic from conventional financial modelling: when outcomes are deeply uncertain but potentially extreme, the aim is not to forecast one precise future. The aim is to build resilience across several plausible futures.
That same logic is visible in the growing interest in climate intervention technologies. Carbon Dioxide Removal has moved into early commercial activity, while Solar Radiation Modification remains more experimental and politically sensitive. These technologies should not be seen as substitutes for decarbonisation. Rather, the strategic rationale is that some investors and governments are beginning to build an option set in case mainstream mitigation and adaptation prove insufficient, or tipping points materialise sooner than expected.
The practical lesson from J.P. Morgan’s report is not that firms should assign false precision to climate tipping points. The lesson is that uncertainty itself requires a different decision framework. Scenario analysis should include abrupt step changes, not only gradual warming pathways. Tabletop exercises can help organisations test how they would respond to nonlinear shocks. Tail-risk assessments should be refreshed as climate science evolves. Exposure should be mapped not only at the portfolio level, but also across geographies, supply chains, revenue streams, and insurance dependencies.
The Fukushima analogy in the report is useful here. The issue was not simply that a severe tsunami was impossible to imagine. New evidence had already raised questions about the adequacy of existing protection. The larger failure was that evolving risk knowledge did not translate into sufficient action. Climate tipping points create a similar governance challenge. Better information only matters if it changes decisions.
For finance, the implication is clear. Climate tipping points should not be treated as remote scientific curiosities. They are emerging as valuation, credit, insurance, and strategy problems that challenge the assumption that climate risk will arrive gradually and can be managed through incremental model updates. In some cases, that may still be true. In others, the adjustment may come as a sudden repricing. Firms and investors that begin building decision frameworks now will be better placed to manage that transition; those that wait for certainty may encounter it as a shock.
Source: J.P. Morgan, Tipping Points: Decision-Making under Deep Uncertainty, Climate Intuition series, authored by Dr Sarah Kapnick.
