RBI Deputy Governor on Why India Is Taking Time with CBDC

TheCryptoTimesОпубліковано о 2025-10-08Востаннє оновлено о 2025-10-08

The Reserve Bank of India (RBI) is adopting a careful and gradual approach to rolling out its Central Bank Digital Currency (CBDC) across the country, choosing to focus on global readiness and cross-border use rather than rushing into a full retail launch.

Deputy Governor T. Rabi Sankar said the most impactful use case for a digital rupee lies in cross-border transactions, which require other nations to launch their own CBDCs for seamless interoperability. 

“We’re in no hurry because, you see, for this system to launch, you also have to have other countries launching it simultaneously,” Sankar said on the sidelines of the Global Fintech Fest 2025 in Mumbai.

He explained that for CBDCs to deliver their full potential, especially in international settlements, multiple countries must develop and deploy their own digital currencies in sync. “The basic use case for CBDC eventually comes in the cross-border space, so we have to get into a few cross-border arrangements and see how it works,” he added.

Retail pilot expands to 7M users

Despite the wait for a full rollout, India’s CBDC pilot has been steadily expanding. The digital rupee pilot has now reached around 7 million users, up from 6 million at the end of March. Since the retail pilot started in December 2022, the number of participating banks has also grown to 17.

Non-banking companies have been allowed to provide CBDC wallets as well, making it easier for people to access the digital rupee and helping it reach more users.

The RBI is focusing on creating useful, programmable applications for the digital rupee while strengthening the system that supports it. 

A CBDC is basically the digital version of the country’s official money; it works just like paper currency in terms of value and purpose, but exists only in digital form. It can be used for everyday payments, is recognised as legal tender, and serves as a secure way to store value.

Responsible use of AI in finance

Sankar also stressed the need for caution when deploying artificial intelligence in the financial sector. “In finance, the margin for error is even narrower, as financial institutions are built on trust and economies prosper on stability,” he said. 

He warned that critical infrastructure must be protected from risks associated with untested or poorly governed AI systems.

Tokenized certificates of deposit pilot

Meanwhile, the RBI is piloting the tokenization of certificates of deposit (CDs) as part of its first asset tokenization initiative, using the wholesale CBDC platform. 

Suvendu Pati, Chief General Manager at the RBI, said the central bank is working closely with a few banks on a pilot project to tokenise certificates of deposit and is also looking to extend tokenization to other money market instruments, including commercial papers.

Tokenization essentially means turning traditional financial instruments like deposits, bonds, or shares into digital assets recorded on a blockchain, a shift that could change how funds are raised, traded, and managed.

At the same time, the Reserve Bank Innovation Hub is running pilot projects to test how CBDC can be used in areas like subsidy distribution and trade finance, ensuring that digital funds are spent exactly as intended.

Sankar noted that progress on CBDC had been quicker two or three years ago, but global coordination remains a key factor now. He pointed out that cross-border transactions involve two major costs—the cost of processing and foreign exchange conversion, and CBDCs could make both significantly more efficient once more countries adopt them.

Also Read: India’s Finance Minister Urges Nations to Prepare for Stablecoins


Mobile Only Image

Пов'язані матеріали

Morning Post | Michael Saylor Releases Bitcoin Tracker Info; Aave Publishes Kelp rsETH Bridge Attack Post-Incident Investigation; Gravity Bridge Announces Service Suspension Following Attack

ChainCatcher Daily Summary - June 1, 2026 In regulatory news, the U.S. OCC granted preliminary conditional approval for Laser Digital to establish a federally regulated trust bank. In Vietnam, a draft law amendment proposes allowing SMEs to use digital and virtual assets as loan collateral. Hong Kong's SFC chairman reported that trading volume on the city's 12 licensed virtual asset platforms grew nearly 300% YoY in Q1 2026. Notable incidents include the Cosmos ecosystem cross-chain bridge Gravity Bridge pausing services after an attack. Aave published a post-mortem on the April 18th Kelp rsETH bridge attack, attributing it to a third-party bridge infrastructure vulnerability via an RPC poisoning attack, not the Aave protocol itself. In market developments, MicroStrategy's Michael Saylor hinted at a potential upcoming Bitcoin purchase announcement. Fed Governor Waller commented that widespread stablecoin adoption could amplify the impact of U.S. monetary policy. Meanwhile, sentiment analysis from Santiment indicates a record-high Bitcoin long/short ratio of 2.23, potentially signaling a short-term price correction, while Ethereum shows signs of FUD among commentators. In legal matters, the SEC sued the founder of Privvy Investments for an alleged $12.3 million crypto AI trading bot scam. In China, a Qingdao man was sentenced to 10 years and 9 months for stealing 107 BTC by obtaining a victim's wallet seed phrase. Top trending meme tokens on ETH, Solana, and Base networks for the past 24 hours are also listed.

链捕手38 хв тому

Morning Post | Michael Saylor Releases Bitcoin Tracker Info; Aave Publishes Kelp rsETH Bridge Attack Post-Incident Investigation; Gravity Bridge Announces Service Suspension Following Attack

链捕手38 хв тому

Alibaba 'Stocks Up', ByteDance 'Trains'

"In late May, two closely timed events in China's AI industry clearly revealed the divergent strategic approaches of two tech giants: Alibaba and ByteDance. Alibaba is aggressively integrating AI into its existing commercial ecosystem, prioritizing immediate monetization. Its Qwen App now fully integrates with Taobao, leveraging the platform's 4-billion-item database for AI-powered shopping features like virtual try-on and price comparison. Internally, Alibaba has reorganized to incentivize AI-driven business growth, notably through the 'Agentic Commerce Trust Protocol' to enable AI-agent transactions. Financially, it emphasizes ROI, with CEO Daniel Wu stating every AI chip purchased is generating revenue. Alibaba's strategy bets that foundational AI model capabilities won't be leapfrogged in the next five years, allowing its 'AI-as-a-utility' approach to succeed. In stark contrast, ByteDance's Seed division focuses on pushing the frontiers of AGI with a long-term, research-oriented mindset. Its video generation model, Seedance 2.0, topped international benchmarks. The division, led by researchers Wu Yonghui and product head Zhu Wenjia, is tasked with 'exploring the upper limits of intelligence,' even considering open-sourcing its models—a rare move among Chinese firms. ByteDance is investing heavily, with reports of its 2026 capital expenditure plan being nearly triple that of 2024, funded by its substantial private profits. This allows it to pursue projects like an 8-month research paper questioning if video models are true 'world models,' devoid of immediate commercial pressure. The core divergence is less about corporate philosophy and more about structural constraints. As a publicly traded company, Alibaba is bound to quarterly financial expectations, forcing a pragmatic, revenue-focused AI integration. As a private entity, ByteDance has the luxury to fund long-term, high-risk foundational research without answering to public markets. The article concludes that the true determinant of a Chinese company's AI path is its IPO status, suggesting that if ByteDance were public, or if Alibaba were private, their strategies might well be reversed."

marsbit2 год тому

Alibaba 'Stocks Up', ByteDance 'Trains'

marsbit2 год тому

Why More AI Agents Does Not Equal Higher Productivity?

Editor's Note: As AI Agents become cheaper and easier to use, a new constraint emerges: the cost isn't in launching more Agents, but in the human attention required to manage, judge, and integrate their outputs. This hidden cost is called the "orchestration tax." The article argues that a developer's cognitive bandwidth is the key bottleneck—a serial, non-parallelizable resource akin to a Global Interpreter Lock (GIL). While many Agents can run concurrently, their results ultimately require human judgment for review, conflict resolution, and final integration. Therefore, more Agents don't automatically mean higher productivity; they can simply create longer queues, lead to cognitive fatigue, and create the illusion of busyness without real output. The core solution is to design workflows around this scarce human attention. Key strategies include: scaling the number of Agents to match review capacity (not UI capacity), categorizing tasks (delegating independent ones, keeping complex judgment-heavy ones serial), batch reviewing results to minimize context-switching costs, automating verifiable checks to reserve human judgment for critical decisions, and protecting focused, uninterrupted thinking time. Ultimately, the critical skill is not launching many Agents, but architecting systems that respect the fundamental limit of human attention. Unpaid "orchestration tax" accumulates as both technical and cognitive debt, undermining system understanding and quality. True productivity comes from thoughtfully managing the single-threaded resource—your focus.

marsbit3 год тому

Why More AI Agents Does Not Equal Higher Productivity?

marsbit3 год тому

Торгівля

Спот
Ф'ючерси
活动图片