The AI revolution has created a paradox at the heart of sustainable finance. While a deluge of corporate ESG data promises transparency, the challenge of separating meaningful signal from overwhelming noise has intensified. Relying on standard AI to navigate this complexity introduces risks from opaque, unreliable models, making the integrity of the analytical process more vital than ever.

A human-centric approach offers a path forward by viewing AI not as a replacement for experts, but as a tool to augment them. By leveraging secure AI to automate the work of data synthesis, analysts can focus on higher-value tasks like qualitative judgment or sophisticated interpretation. This powerful synergy fundamentally redefines expertise. An analyst’s edge no longer comes from processing information, but from generating true insight and making superior judgments under uncertainty.

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– Author: Juan Aguirre, Sustainable Investment Data Engineer, Bank J. Safra Sarasin

– This contribution is brought to you by Bank J. Safra Sarasin, a valued bronze event partner of Building Bridges 2025.