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February 14, 2026npj Climate Action0 citationsOpen Access

Empirically assessing corporate adaptation and resilience disclosure using AI

MRMartin RwNRNicola RangerTSTobias Schimanski

Key Points

  • The aim is to evaluate how well firms disclose information on adaptation and resilience to environmental change.
  • Developed an adaptation and resilience disclosure framework.
  • Utilized large language models to assess sustainability reports.
  • Analyzed S&P 500 company sustainability reports for A&R-related information.
  • Corporate sustainability reports lack comprehensive A&R information.
  • Notable deficiencies were found in the reporting of risks and metrics.
  • Emphasis on the need for alternative data sources for assessing firm-level contributions to societal goals.

Abstract

Abstract The extent to which firms are adapting and building resilience to environmental change is crucial information for financial institutions, regulators and governments. While corporates’ physical climate risk exposure of their assets to environmental change can be calculated using models, additional information is needed to evaluate their vulnerability to physical climate change, how well they are adapting and broader alignment with societal adaptation and resilience (A&R) goals. This paper empirically evaluates the extent of A&R-related information in current corporate sustainability reports to provide such insights. We build on established sustainability disclosure frameworks and develop an A&R disclosure framework that we combine with the latest advances in large language models to assess S&P 500 company sustainability reports. We prove that corporate A&R information in sustainability reports is lacking, particularly around risks, metrics and targets, underlining the need to consider other data sources when assessing firm-level risks and contributions to societal A&R goals.

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Cite This Study

Rw et al. (2026) studied this question.

synapsesocial.com/papers/699011172ccff479cfe5780bhttps://doi.org/10.1038/s44168-025-00321-7
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