World’s Largest Sovereign Wealth Fund Deploys AI to Detect Forced Labor and Corruption Risks

Norway's $2.2T wealth fund uses AI to scan for forced labor and fraud, identifying risks in local media to avoid financial losses before the market reacts.

By: AXL Media

Published: Feb 26, 2026, 7:26 AM EST

Source: The information in this article was sourced from Channel News Asia

Proactive Ethical Screening at Scale

Norges Bank Investment Management (NBIM), which manages Norway's massive sovereign wealth fund, has integrated advanced artificial intelligence into its core risk-management strategy. Holding roughly 1.5% of all globally listed stocks, the fund faces the monumental task of monitoring approximately 7,200 companies. On Thursday, NBIM revealed that it now utilizes Large Language Models to conduct rapid ESG (Environmental, Social, and Governance) assessments the moment a new company enters its portfolio. This automated oversight ensures that every investment aligns with the fund’s strict ethical mandates.

Detecting Hidden Risks in Local Media

The primary advantage of the AI tool lies in its ability to parse information that traditional data vendors often overlook. In emerging markets, reports of systemic corruption, fraud, or human rights abuses may only appear in local languages or through small-scale media outlets. The AI can scan these localized sources, translating and analyzing controversies that international media might not pick up until weeks later. By flagging issues such as links to forced labor within the first 24 hours of investment, the fund can act with unprecedented speed.

Financial Gains through Rapid Divestment

This technological shift is not just about ethics—it is a clear financial safeguard. In its annual responsible investment report, NBIM noted that the AI has already identified critical risks that allowed the fund to divest from certain companies before the broader market caught wind of the trouble. "In multiple instances, we identified and sold these investments before the broader market reacted to the risks, avoiding potential losses," the report stated. This proactive approach underscores how AI can bridge the gap between ethical responsibility and fiscal performance.