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Can Your ESG Data Survive the AI Stress Test?
Etoso has analysed 50 thousand ESG reports and 5 million pages of corporate disclosures using AI and large-scale data processing. The findings challenge some common assumptions about sustainability reporting.
AI has identified gaps between claims and evidence, detected inconsistencies across disclosures and revealed patterns that are almost impossible to spot through manual review.
As investors, regulators and customers increasingly rely on machine-driven data analysis, ESG teams face a new reality: their reports are being read by algorithms before they are read by people.
The question is no longer only what companies disclose, but whether their ESG data can withstand machine-level comparison.
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