Norway's $2 trillion Government Pension Fund Global is deploying Anthropic's Claude AI model to screen its massive investment portfolio for ethical and environmental concerns, marking one of the largest institutional adoptions of AI for ESG compliance. The move comes as the fund faces mounting pressure from the Trump administration over recent divestment decisions targeting U.S. and Israeli companies, according to a CNBC report.
The world's largest sovereign wealth fund just handed Anthropic a vote of confidence that reverberates far beyond Norway's borders. Norges Bank Investment Management, which oversees Norway's $2 trillion Government Pension Fund Global, is now using Claude AI to help navigate the increasingly fraught terrain of ethical investing.
The timing is no coincidence. The fund has been reviewing its ethical framework after drawing sharp criticism from the Trump administration for recent decisions to divest from certain U.S. and Israeli companies. By turning to AI, NBIM is attempting to bring more systematic rigor to decisions that have become political lightning rods.
For Anthropic, this deployment represents a significant enterprise win in the institutional finance sector. The company has positioned Claude as the more safety-conscious alternative in the large language model race, emphasizing constitutional AI principles that align well with ethical screening applications. While OpenAI and Microsoft have dominated headlines with consumer-facing AI products, Anthropic is quietly building a foothold in sensitive institutional use cases where trust and explainability matter most.
The Norwegian fund manages investments equivalent to roughly $370,000 for every citizen of Norway, built from decades of oil revenue. Its ethical guidelines exclude companies involved in weapons production, tobacco, coal, and human rights violations. But as geopolitics grows more complex, so do the judgment calls. The fund has divested from dozens of companies in recent years, from coal miners to tech firms accused of enabling surveillance.
