How Should Enterprises Approach ESG in the AI Era?
Today, corporate ESG efforts face dual pressures. On one side, disclosure requirements and supply chain audits are being implemented, making carbon emissions data, labor compliance, customer privacy, and corporate governance increasingly critical. On the other, AI is accelerating integration into business processes—boosting efficiency while introducing new challenges like high investment costs, energy consumption, data security, and tech ethics. Therefore, ESG in the AI era isn't just adding an AI section to an ESG report. It requires two parallel actions: 1. **Use AI to manage ESG**: Transform environmental, social, and governance practices from post-event reporting into real-time, actionable, and closed-loop systems. 2. **Use ESG to govern AI**: Incorporate compute footprint, data sourcing, algorithmic fairness, and privacy protection into decision-making frameworks.
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