Indian Politician Says Digital Rupee Could Lower Remittance Costs

TheCryptoTimes發佈於 2025-09-15更新於 2025-09-15

BJP national spokesperson Pradeep Bhandari has suggested that India explore a rupee-backed digital currency to make cross-border payments faster, cheaper, and more reliable. In an opinion piece, he said a Digital Rupee, backed one-to-one by Government of India bonds, could complement the RBI’s ongoing e-rupee pilot and provide a stable, non-speculative tool for international transactions.

Bhandari pointed out that stablecoins, which are digital tokens tied to a government currency, are already being adopted worldwide. The U.S. has introduced a legal framework for stablecoins, while countries such as the UAE and Bahrain are moving forward with their own digital payment systems. China is reportedly working on its version as well. 

In this context, he argued, India has the chance to take a lead by introducing a regulated, rupee-backed digital asset.

Easing remittances

India receives more remittances than any other country, totaling over ₹11 lakh crore annually. Bhandari said that current transfer systems remain costly and slow for many families. 

A blockchain-based Digital Rupee, he added, could enable near-instant transfers at lower costs, operating around the clock and on transparent networks. For millions of households, this could significantly reduce delays and fees.

Supporting government finances 

Bhandari said a Digital Rupee could also bring economic benefits at home. Since each unit would be backed by government bonds, it could create steady demand for government debt and help lower borrowing costs. This would also give the Reserve Bank of India (RBI) more room to adjust interest rates and help keep the economy steady.

Bhandari suggested rolling out the Digital Rupee step by step, starting with regions like West Asia, where India has strong trade and a big diaspora. At first, it could be used for trade payments and remittances for NRIs. 

He made it clear that the Digital Rupee wouldn’t replace the RBI’s e-rupee but would work alongside it to make the rupee more widely used.

Stablecoin policy needed

On the broader policy front, former RBI Executive Director G Padmanabhan recently urged the government to take a clear position on stablecoins. Ahead of the Global Fintech Festival 2025, he said that if the government doesn’t take a clear call on stablecoins, India could face the same uncertainty it saw with cryptocurrencies. He urged regulators to have detailed discussions and stay aligned with what’s happening globally.

Bhandari added that a Digital Rupee could help the rupee gain more global acceptance, lower the cost of remittances, and put India ahead in digital finance.

Also Read: Crypto Rules Could Legitimize Digital Assets in India: RBI


Mobile Only ImageMobile Only Image

你可能也喜歡

拖更三年,北大校友翁荔最新长文刷屏

前OpenAI副总裁翁荔(Lilian Weng)发表了一篇关于AI扩展定律(Scaling Laws)的深度分析文章。文章指出,这条指导了AI行业数百亿美元投入的核心定律,远比人们想象的更为脆弱。 文章回顾了Scaling Laws的基本思想,即模型性能随规模扩大而可预测地提升。然而,OpenAI与DeepMind在关键问题上得出了相反结论:给定算力,资源应更多分配给模型还是数据?OpenAI的Kaplan团队认为模型增长应更快,而DeepMind的Chinchilla团队则认为应等比增长。后来研究发现,这一分歧源于参数统计口径的差异和实验规模不足,导致Kaplan的结论仅适用于小规模场景。 更关键的是,被行业广泛采纳的Chinchilla最优配比公式本身也存在方法论瑕疵。2024年有团队复现发现,其损失函数因取均值而非求和,导致优化器提前停止,输出并非最优解。此外,用于外推的关键参数精度不足,放大了误差。 文章进一步指出,经典Scaling Laws的根本前提——高质量数据无限供应——正在崩塌。数据重复训练不可避免,新研究引入了惩罚项来修正公式,并发现大模型对数据重复更敏感。这解释了行业为何转向强化学习、测试时计算和合成数据等新路径。 翁荔的博客以其清晰深入的技术解析著称,这篇文章历时三年完成。她于2025年联合创立了新公司Thinking Machines Lab。文章强调,下一代AI的进步不仅依赖算力规模,更取决于对这些基础定律细节更精确的理解与运用。

marsbit54 分鐘前

拖更三年,北大校友翁荔最新长文刷屏

marsbit54 分鐘前

交易

現貨
合約
活动图片