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Bhutan Partners With Cumberland DRW To Build Green Digital Infrastructure

  • Bias Rating
  • Reliability

    30% ReliableAverage

  • Policy Leaning

    -84% Very Left

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

51% Positive

  •   Liberal
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Bias Meter

Contributing sentiments towards policy:

62% : By combining hydropower, national reserves, stablecoin plans, and AI compute with Cumberland's market expertise, Bhutan is crafting a blueprint.
61% : On Bhutan's side, the initiative is led by Green Digital Ltd, a GMC entity responsible for developing renewable energy-backed digital asset infrastructure and computing centers.
60% : The MoU focuses on building a modern digital asset market infrastructure, integrating capital markets with Bhutan's renewable energy resources in order to power the blockchain network and related infrastructure.
59% : This complements Bhutan's separate plans for TER, a gold-backed sovereign digital token launching on Solana in December 2025. GMC's renewable-powered data centers will support eco-friendly Bitcoin mining and AI compute clusters, turning surplus hydropower into digital revenue streams.
57% : This builds on existing hydropower-based mining operations that generate significant BTC per week for the kingdom.
57% : How is this connected to Bhutan's Bitcoin mining? Bhutan already runs large hydropower-backed mining operations and a $500 million "green mining" fund with Bitdeer.
56% : Bhutan's move is not a sudden pivot; it extends a multi-year strategy to diversify beyond hydropower using blockchain and digital assets: The Cumberland DRW MoU fits into this trajectory by adding a market-infrastructure layer, trading, stablecoin rails, yield, and talent development, on top of existing mining and tokenization efforts.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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