A7A5 Outlines Conditions for Development of Non-Dollar Stablecoin Market

RBK-cryptoPublished on 2025-12-15Last updated on 2025-12-15

Abstract

A7A5, the issuer of the largest ruble-backed stablecoin by market capitalization (over $524 million), has outlined the necessary conditions for the development of the non-dollar stablecoin market. According to Oleg Ogienko, Director of International and Regulatory Affairs, expanding this ecosystem requires connecting different legal regimes to enable businesses to operate "without friction." He made these remarks at the Global Blockchain Show in Abu Dhabi, noting a growing interest from Middle Eastern countries in collaborating with Russia and the CIS, where demand for non-dollar payment corridors is increasing. The company is focusing on global expansion, recently participating in key industry events in India and the UAE. A7A5 sees India as a crucial hub for international payments and Web3 ecosystems, and the Middle East as a dynamic center for digital finance innovation connecting Asia, CIS, Africa, and Europe. Ogienko emphasized that true innovation is only possible through partnership with regulators, not opposition. Transparency, auditability, and clear rules are key to building trust. He stated that ecosystems like A7A5 are becoming primary tools for regional economic integration. To improve the accessibility of its ruble stablecoin for users and businesses in Asia, Africa, and South America, the company plans integrations with international platforms and wallets that support stablecoins. In a significant regulatory development, the A7A5 stablecoin was the first in R...

To expand the ecosystem of non-dollar stablecoins, it is necessary to learn how to connect different legal regimes so that businesses "can operate without friction," stated Oleg Ogienko, Director of International and Regulatory Affairs at A7A5, during his speech at the Global Blockchain Show crypto conference in Abu Dhabi. He noted the growing interest of Middle Eastern countries in cooperation with Russia and the CIS, where the emergence of payment corridors not tied to the dollar is becoming increasingly in demand.

The ruble-based stablecoin A7A5 is the largest by market cap among stablecoins pegged to assets other than the U.S. dollar. According to CoinMarketCap, its market capitalization exceeds $524 million.

With the aim of expanding its global presence, the company behind the issuance of A7A5 participated in two significant crypto industry events in early December: the India Blockchain Week 2025 conference in India and the Global Blockchain Show in the UAE. A7A5 noted that it sees India as an important intersection point for international payments, trade routes, and Web3 ecosystems, and the Middle East as one of the most dynamic hubs for innovation in digital finance, connecting Asia, the CIS, Africa, and Europe.

In his speech, Ogienko focused on how the industry is moving towards creating a sustainable, secure, and scalable infrastructure. He noted that true innovation is only possible when companies work in partnership with regulators, not in opposition to them. He shared that A7A5's experience in several jurisdictions shows that transparency, auditing, and clear rules are becoming a key factor of trust.

Ecosystems like A7A5 are becoming a primary tool for regional economic integration, Ogienko noted. To increase the accessibility of the ruble stablecoin for users and businesses in Asia, Africa, and South America, the company plans integrations with international platforms, wallets, and services that support stablecoins.

At the end of September, the A7A5 stablecoin was the first in Russia to be recognized by the CFA. This gave Russian importers and exporters the legal ability to use A7A5 tokens as a means of payment for cross-border settlements.

Experts named the most profitable Bitcoin mining equipment

YouTube launched content creator payments in a stablecoin from PayPal

Do Kwon received 15 years in prison for the collapse of the $40 billion Terra crypto project

Related Questions

QWhat conditions did A7A5 identify as necessary for the development of the non-dollar stablecoin market?

AA7A5 stated that to expand the ecosystem of non-dollar stablecoins, it is necessary to learn how to connect different legal regimes so that businesses 'can work without friction'.

QWhat is the market capitalization of the A7A5 ruble stablecoin according to CoinMarketCap?

AAccording to CoinMarketCap, the market capitalization of the A7A5 ruble stablecoin is over $524 million.

QWhich two major crypto industry events did the company behind A7A5 participate in for global expansion in early December?

AThe company participated in the India Blockchain Week 2025 conference in India and the Global Blockchain Show in the UAE.

QWhat significant regulatory milestone did the A7A5 stablecoin achieve in Russia at the end of September?

AAt the end of September, the A7A5 stablecoin became the first in Russia to be recognized by the CFA, allowing Russian importers and exporters to legally use A7A5 tokens as a means for cross-border settlements.

QAccording to Oleg Ogienko, what is the key factor for building trust in the stablecoin industry?

AOleg Ogienko stated that transparency, audit, and clear rules are the key factors for building trust, based on A7A5's experience in multiple jurisdictions.

Related Reads

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1h ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit1h ago

Trading

Spot
活动图片