A7 to Provide Unique Expertise on Stablecoin Settlement to the Market

cryptonews.ruPubblicato 2026-07-29Pubblicato ultima volta 2026-07-29

Introduzione

Beginning September 1, 2026, Russia's "On Digital Currencies and Digital Rights" law will establish rules for cryptocurrency circulation, significantly expanding tools for importers and exporters. Company A7, a user of the largest ruble-pegged stablecoin A7A5, has announced its readiness to share its unique expertise in digital asset operations with foreign trade participants. According to Oleg Ogienko, Director of Government Relations and International Ties for the A7A5 project, the company's specialists have developed significant expertise in legally formalizing such transactions, compliance, currency control, and interacting with infrastructure participants. Following the law's enactment, A7 will continue applying this expertise for client operations and plans to adapt its business processes as the Bank of Russia issues related regulatory acts. The Bank of Russia clarified that exporters and importers will be able to conduct cross-border settlements in digital currency either through intermediaries or directly, though domestic use of such assets will remain restricted. All requirements for operators and settlement participants will be detailed in the regulator's subordinate acts. A7 had previously highlighted the high degree of transaction freedom in foreign trade as a key advantage of Russia's developing crypto-asset regulation model, while noting limitations for individuals and a banking-centric system that could hinder market growth.

Effective September 1, 2026, the law "On Digital Currencies and Digital Rights" will come into force, establishing rules for the circulation of cryptocurrencies in Russia, which will significantly expand the toolkit for importers and exporters. Company A7, which uses the largest ruble stablecoin A7A5 and has already gained experience in digital asset operations, has announced its readiness to share its unique experience with participants in foreign economic activity (FEA).

According to Oleg Ogienko, Director of Government Relations and International Affairs for the A7A5 project, the company's specialists have already developed substantial expertise that can now be particularly in demand.

"For many companies, settlements using digital assets are still a new practice. A7 specialists have already accumulated significant experience in the legal formalization of such operations, compliance procedures, currency control, and interaction with infrastructure participants. After the law comes into force, we will continue to apply this expertise in conducting client operations and plan to adapt our business processes as the Bank of Russia and other relevant regulatory acts are adopted," Ogienko noted.

The Bank of Russia previously clarified that exporters and importers will be able to conduct cross-border settlements in digital currency either through intermediaries or directly; however, the use of such assets within the country will remain limited. All requirements for operators and settlement participants will be specified in the regulator's subordinate acts.

Previously, A7 stated that the main advantage of the regulatory model for cryptoassets being developed in Russia is the high degree of freedom in FEA transactions, while noting some restrictions for individuals and the concentration of the system around banks, which could hinder the development of the Russian digital asset market.

end-content

Domande pertinenti

QWhen does the law 'On Digital Currencies and Digital Rights' come into force in Russia, and what is its main purpose?

AThe law comes into force on September 1, 2026. Its main purpose is to establish rules for the circulation of cryptocurrencies in Russia, significantly expanding the tools available for importers and exporters.

QWhat company is mentioned as having significant experience with stablecoin operations, and which stablecoin do they use?

AThe company mentioned is A7, which uses the largest ruble-based stablecoin, A7A5.

QAccording to Oleg Ogienko, what kind of expertise has A7 developed regarding digital asset transactions?

AA7 has developed significant expertise in the legal formalization of such transactions, compliance procedures, currency control, and interaction with infrastructure participants.

QWhat limitation did the Bank of Russia clarify regarding the use of digital assets for domestic transactions within the country?

AThe Bank of Russia clarified that the use of such digital assets for transactions within the country will still be limited.

QWhat did A7 previously identify as a potential constraint for the development of the Russian digital asset market?

AA7 noted that the high concentration of the system around banks, along with certain restrictions for individuals, could restrain the development of the Russian digital asset market.

Letture associate

After R&D Investment Catches Up with the U.S., Is the Sino-U.S. Chip Competition Still Just About Money?

The article examines the significance of recent data showing China's total R&D expenditure, measured by purchasing power parity (PPP), catching up to or slightly surpassing that of the United States in 2024. It argues that while this milestone reflects China's immense capacity to mobilize research resources, the competition in semiconductors now extends far beyond sheer financial input. The analysis highlights key differences: China's R&D is heavily skewed towards experimental development (over 80%), focusing on product engineering and industrialization, whereas the U.S. allocates a proportionally larger share (about 15%) to basic research. Furthermore, leading U.S. semiconductor firms reinvest a significant portion of their substantial global sales revenue into R&D, creating a sustainable commercial innovation cycle that is difficult to replicate. The article emphasizes that semiconductor progress depends on converting R&D into commercially viable products that pass rigorous customer validation and achieve repeat orders, not just on spending levels. It concludes that as China enters the top tier of R&D spenders, the critical challenges shift to improving resource allocation efficiency, fostering long-term basic research, and building effective mechanisms to bridge the gap between laboratory discoveries and reliable, market-ready industrial capabilities.

marsbit42 min fa

After R&D Investment Catches Up with the U.S., Is the Sino-U.S. Chip Competition Still Just About Money?

marsbit42 min fa

Top 10% of American Households Capture 88% of Wealth, How Is the AI Era Cake Divided?

AI Worsens Wealth Inequality as Top 10% of US Families Garner 88% of Stock Gains (2019-2026) A report from the China Finance 40 Forum highlights that the AI boom is significantly widening wealth inequality in the United States. From 2019 to Q1 2026, wealth from directly held stocks by US households nearly doubled from $29 trillion to approximately $55 trillion, with rapid growth concentrated post-2023, coinciding with the AI-driven stock market surge. The distribution of these gains has been starkly uneven. Between 2022 and Q1 2026, the wealth increase of about $21 trillion was captured almost entirely by the wealthiest families: the top 10% secured roughly 88% ($18.5 trillion), while the bottom 50% received only about 1% ($0.2 trillion). This has contributed to a growing disparity in disposable income shares. The report, referencing economic historian Robert Allen, draws parallels to historical technological shifts like the "Engels' Pause" during the First Industrial Revolution, where worker wages stagnated despite productivity gains. It suggests AI could induce a similar period where capital收益 outpace labor income, exacerbating inequality. Huang Yiping of Peking University identifies four mechanisms through which AI impacts income distribution: capital-bias (reducing labor's income share), task polarization (hollowing out middle-skill jobs), skill-based digital divides, and wealth amplification through assets. He warns that if this trend continues, strong supply growth driven by AI could be undermined by persistently weak consumer demand, threatening sustainable economic growth. To address these challenges, the report proposes a three-pronged strategy: 1) Defensive measures like strengthening social safety nets and antitrust enforcement; 2) Empowering workers through education reform and lifelong learning to collaborate with AI; and 3) Rebalancing via policies such as potential taxes on AI超额收益 and mechanisms for broader sharing of technology's benefits, ensuring AI's红利 are more equitably distributed.

marsbit47 min fa

Top 10% of American Households Capture 88% of Wealth, How Is the AI Era Cake Divided?

marsbit47 min fa

Trading

Spot
活动图片