Prime Minister Backing, SBI's "Shopping Spree," Lawson's Pilot: Japan Seizing the Compliance Dividend in Crypto

marsbitPublished on 2026-07-13Last updated on 2026-07-13

Abstract

Japan is moving decisively to establish itself as a leader in the compliant crypto ecosystem through a coordinated national strategy. This commitment is underscored by consistent high-level political support, with successive prime ministers addressing the WebX conference to promote regulatory reform and position Web3 as a core industry. The financial giant SBI Holdings is executing a strategic, multi-billion dollar investment spree to build a comprehensive infrastructure stack. Key moves include acquiring the major exchange Bitbank, investing in core infrastructure firms like Gauntlet and EDX Markets, and forming "SBI Solana Global" to develop a yen-denominated stablecoin (JPYSC) and tokenized assets on the Solana network. Concurrently, a pilot by convenience store chain Lawson will test stablecoin payments in a real-world retail setting. The Japanese approach combines high regulatory barriers, which limit competition, with strategic capital from established financial conglomerates (zaibatsu) rather than standalone crypto firms. Upcoming tax reforms, planning to slash crypto capital gains tax from 55% to 20%, are designed to attract domestic savings. This integrated model—strict licensing, deep-pocketed traditional finance, real-world use cases, and favorable taxation—creates a formidable, closed-loop system for early entrants like SBI. It offers a potential blueprint for other jurisdictions seeking to formalize their crypto industries, signaling a shift from regulatory arb...

On July 13, WebX 2026, which opened in Tokyo, attracted approximately 15,000 attendees. The current Prime Minister of Japan personally delivered a video message, reiterating the need to expand financial support through the "Startup Comprehensive Support Package." Prior to this, both former Prime Minister Fumio Kishida and Prime Minister Shigeru Ishiba had delivered addresses at the previous two WebX conferences—Kishida in 2024 emphasized tax and regulatory reforms to pave the way for Web3 startups, and Ishiba in 2025 went further, positioning Web3 as the core of a "once-in-a-century" industrial revolution.

Prime ministers have changed, but the act of high-level backing has not. Japan's bet on Web3 is not a personal choice of any single politician; it's a long-term agenda written into the system.

Also on July 13, Japanese financial giant SBI played an even bigger card: a joint announcement with the Solana Foundation revealed a strategic partnership to jointly build Japan's on-chain financial market. SBI R3 Japan, in collaboration with the Solana Foundation and existing shareholders SBI and Sumitomo Mitsui Financial Group, plans to rename the company "SBI Solana Global."

Rewinding further, SBI Holdings' ledger has seen several notable entries: an exclusive investment of $125 million in Gauntlet, a $76 million investment in EDX Markets, and the acquisition of Bitbank for approximately $289 million. In total, within a short cycle, SBI has deployed nearly $500 million in real capital into the crypto space.

A more down-to-earth scene unfolded at the Takanawa Gateway City Lawson store in Tokyo: in early August, Lawson planned to pilot POS payments using the JPYC stablecoin at this location. Buying a bottle of water or a rice ball and paying with stablecoins—this marks Japan's first time integrating stablecoin payments into a real-world retail scenario.

On the surface, these events seem unrelated. But strung together, they signal one thing: Japan is using its national will to open a compliant expressway for the crypto industry.

Level One: All-in Betting on Licensing, Capital, and Use Cases

First, look at the moves at the licensing level. SBI's current round of investments is not a scattered shotgun approach; each one precisely targets a key node in the infrastructure.

Gauntlet is a core player in DeFi risk management and on-chain market making. Investing in it is akin to securing a voice in the "risk management brain." EDX Markets, backed by Wall Street giants like Citadel and Fidelity, is the clearing channel for institutional-grade crypto trading. Bitbank is one of Japan's largest domestic crypto exchanges, giving direct access to a major traffic gateway.

The SBI Solana Global move fills in the most critical piece of the puzzle: the underlying public blockchain. According to the cooperation agreement, the new company will advance five major business areas around the Solana network—the issuance and circulation of the yen stablecoin JPYSC, the structuring and circulation of corporate bonds and tokenized RWAs, cross-border payment infrastructure, on-chain financial services for institutional investors, and next-generation payment infrastructure for the era of AI Agents.

Risk management, clearing, gateway, public chain—four key links secured in one go. This is not mere financial investment; this is strategic positioning across the industry chain.

Then consider the yen stablecoin JPYSC launched by SBI itself, paired with a 3% annualized lending service—in an environment of long-term zero or even negative interest rates for the yen, the disruptive power of this rate is self-evident. If even a portion of the cash held by Japanese savers is attracted by this rate, it would represent a tangible migration of capital.

Lawson's POS pilot, meanwhile, transforms stablecoins from "strings of numbers in an exchange" into "money that can be swiped at a convenience store checkout." This step is more crucial than all the preceding capital maneuvers because it touches the entry point to payment use cases—whoever first deploys stablecoins into offline retail networks first captures the mindset of ordinary people.

Finally, there's taxation. The Japanese parliament plans to reduce the crypto capital gains tax from 55% to 20% by 2028. The significance of this number is direct: under a 55% tax rate, both retail and institutional investors tend to keep assets offshore or simply not trade; lowering it to 20%, roughly on par with stocks and futures, means Japanese domestic capital has, for the first time, a real incentive to "realize gains" within the country.

Level Two: The Higher the Bar, the More Those Who Enter First Feast

On the surface, this looks like the Japanese government supporting startups, SBI making industrial investments, and Lawson following a trend. But the truly intriguing question is: when a country's regulatory bar has never been low, who gets to laugh last?

The answer is clear: the one who first navigates the entire approval process.

Japan's crypto regulation has always been notoriously strict, with high licensing barriers and long approval cycles that leave many small and medium-sized institutions unable to even prepare the application materials. But precisely this high barrier keeps most potential competitors out, leaving a nearly cleared battlefield for a handful of giants. SBI spent several years acquiring exchanges, clearing channels, and risk management systems in one go, then aims to capture yen liquidity through its stablecoin business. Once retail networks like Lawson roll out payment scenarios, SBI can almost simultaneously secure both licensing advantages and traffic advantages, forming a compliance loop that others cannot catch up with in the short term.

A comparison makes it clearer: The U.S. stablecoin sector is a mixed battle between specialized issuers like Circle and traditional financial institutions. Japan, however, is taking the route of "financial conglomerates personally entering the arena." Established financial institutions like Mitsubishi UFJ and SBI are not just investing in crypto companies; they are embedding crypto operations within their existing financial systems. This means Japan's crypto infrastructure, from day one, carries the lineage and regulatory backing of traditional finance, making it much harder for smaller players to get a piece of the pie compared to the U.S. or Singapore.

The same logic applies to the tax rate reduction. On the surface, it benefits ordinary investors, but the 20% rate truly aims to leverage Japan's massive pool of domestic savings. Once a portion of this capital flows into crypto assets, the first to enjoy the liquidity dividend will still be those domestic players who have already secured their licenses and control the entry points. Regulatory easing isn't about handouts; it's about allowing those already inside the door to be the first to catch the new funds pouring in from outside.

Level Three: A Replicable Template

Zooming back to the industry itself, Japan's combination punch provides an observable institutional template: how a country can use the four-piece set of "high-barrier licensing + conglomerate-level capital + retail pilot scenarios + tax concessions" to pull the crypto industry from a grey area into the mainstream narrative within a few months.

This has direct reference value for other jurisdictions. Over the past few years, grey areas for stablecoins and crypto operations have largely relied on regulatory vacuums. Regions like Japan, Hong Kong, and the UAE are now rapidly filling in licensing and tax frameworks, indicating that the arbitrage space of "running to wherever regulation is lax" is systematically narrowing. The industry's survival logic is shifting from "guerrilla tactics" to "license grabbing."

Japan's path is steady but slow. It took SBI years to assemble this full-license matrix, and Lawson's pilot is just for "one store at Takanawa Gateway City." But the direction is clear: when a traditionally conservative financial powerhouse starts paving the road itself, it signals that the road definitely leads to real money.

*The content of this article is for reference only and does not constitute any investment advice. Markets are risky; invest with caution.

Trending Cryptos

Related Questions

QWhat are the key components of Japan's 'compliance highway' strategy for the cryptocurrency industry as outlined in the article?

AJapan's strategy is a multi-layered approach comprising: 1. **High-barrier licensing** ensuring only well-established players can operate. 2. **Capital deployment by Zaibatsu-level financial groups** like SBI Holdings, which invests in and builds key infrastructure (exchanges, clearing, risk management, public blockchains). 3. **Real-world retail pilot scenarios**, exemplified by Lawson's stablecoin POS test, to drive mainstream adoption. 4. **Tax incentives**, specifically the planned reduction of crypto capital gains tax from 55% to 20% by 2028 to encourage onshore investment.

QHow does the article explain SBI Holdings' recent investments in the crypto sector, and what strategic goal do they serve?

ASBI Holdings' recent investments—$125M in Gauntlet (DeFi risk management), $76M in EDX Markets (institutional clearing), and ~$289M to acquire Bitbank (major Japanese exchange)—are not scattered financial bets. They represent a strategic 'industrial chain positioning.' The goal is to simultaneously secure control over critical infrastructure nodes: risk management, institutional clearing, retail traffic entrance, and through the 'SBI Solana Global' venture, the underlying public blockchain. This creates a comprehensive, hard-to-replicate compliance ecosystem.

QAccording to the article, why is the Lawson convenience store pilot for JPYC stablecoin payment considered a crucial step?

AThe Lawson pilot is crucial because it moves stablecoins from being 'strings of numbers in an exchange' to 'money that can be spent at a convenience store checkout.' This step is more critical than capital maneuvers as it captures the **entrance right to payment scenarios**. The first to integrate stablecoins into widespread offline retail networks gains a significant advantage in securing public mindshare and driving real-world, everyday usage.

QWhat does the article suggest is the underlying consequence of Japan's traditionally high regulatory barriers for crypto, and who benefits?

AThe article suggests that Japan's high regulatory barriers, while challenging for small and medium-sized entities, create a 'near-cleared battlefield' for a few established giants. The consequence is that the few players (like SBI-led consortia) who can navigate the lengthy and complex approval process gain a massive first-mover advantage. They can establish a 'compliance closed-loop' combining license superiority and traffic dominance, allowing them to capture the majority of benefits when policies (like tax cuts) later release new capital into the market.

QHow does Japan's approach to crypto development, as described in the article, differ from that of the United States regarding stablecoins and institutional involvement?

AThe key difference lies in who leads the development. In the **United States**, the stablecoin sector is a 'mixed battle' between specialized issuers (like Circle) and traditional financial institutions. In contrast, **Japan** follows a 'Zaibatsu financial group親自下场' (personally entering the field) model. Giants like SBI and Mitsubishi UFJ are not just investing in crypto companies; they are embedding crypto businesses (like stablecoin issuance) directly into their existing traditional financial systems. This means Japan's crypto infrastructure is built from day one with traditional financial pedigree and regulatory endorsement, making market entry far more difficult for smaller players compared to the U.S.

Related Reads

AI at a Crossroads: Why Wall Street is Saying "No" to ChatGPT and Claude?

The article "AI at a Crossroads: Why Wall Street Says 'No' to ChatGPT and Claude" explores the growing tension between the adoption of powerful, closed-source AI models and the imperative for data privacy and intellectual property (IP) protection in enterprises, particularly in high-stakes sectors like finance. It details how the fundamental architecture of services like OpenAI and Anthropic involves sending user data in plaintext to the vendors' servers, creating risks of IP leakage ("alpha transfer"). While enterprise contracts with "zero-data-retention" clauses offer some assurance, they rely on trust. A significant problem is "shadow AI," where employees use personal accounts, bypassing corporate policies and leading to data breaches. For consumers, the article highlights that AI conversations lack legal protections like attorney-client privilege and can be subpoenaed in legal cases, a fact many users are unaware of. The core of the piece analyzes the technical spectrum of privacy solutions, contrasting **protocol-level privacy** (contracts, anonymous proxies) with more robust **structural-level privacy**. The latter includes: * **TEEs (Trusted Execution Environments) / Confidential Computing:** Running models in hardware-sealed enclaves with remote attestation. * **End-to-End Encryption (E2EE):** Encrypting prompts so only the target enclave can read them. * **Fully Homomorphic Encryption (FHE):** Performing computations on encrypted data without decryption (currently very slow). * **Local Inference:** Running models entirely on-premise, the most private but costly and limited to less powerful models. The article argues that verifiable privacy (via attestation) is only possible with **open-source models**, as closed-source vendors cannot reveal their serving code without losing competitive advantage. While the performance and cost gap between open and closed models is narrowing, a key dilemma remains: sacrifice some model capability for privacy or risk data exposure for a competitive edge. A case study from Bridgewater and Thinking Machines demonstrates that a finely-tuned open-source model (Qwen) can outperform leading closed models in specific, expert financial tasks, both in accuracy and lower cost. However, the training process itself often isn't private. The discussion extends to the **"harness layer"**—the tools and data sources surrounding an AI agent. Here, privacy becomes even more complex, as each external API call can expose data. Current solutions are mostly at the protocol level (gateways, PII masking), with true encrypted search for open-ended queries still in the research phase. In conclusion, the demand for private AI is growing, with services like Venice AI and Proton gaining users. While privacy-enabling infrastructure (like enclaves) is becoming more affordable and performant, the article posits that the most defensible value lies in solving the remaining hard problems: private training cycles, fully private tool calls, and practical encrypted search. For enterprises, the path forward is to use their proprietary "alpha" (expert knowledge) to fine-tune open-source models within a verifiably private environment, securing their most valuable strategic insights.

链捕手1m ago

AI at a Crossroads: Why Wall Street is Saying "No" to ChatGPT and Claude?

链捕手1m ago

Let Funds Flow at Internet Speed

Tokenization bridges the distinct worlds of always-on, permissionless DeFi and traditional funds with scheduled, permissioned settlements, unlocking significant value for those who can manage this integration. The tokenized Real World Asset (RWA) market exceeds $33 billion, with U.S. Treasuries comprising nearly half. It offers corporate treasurers options from low-risk, liquid Treasury funds to higher-yield, programmable investments, all benefiting from the same audit standards as traditional bonds. The core advantage is *composability*: tokenized funds can combine yield, liquidity, and transferability simultaneously, unlike traditional finance which forces a trade-off. However, achieving this requires sophisticated coordination. Tokenized funds remain legally bound to daily net asset value (NAV) updates, KYC-verified holder lists, and redemption cut-offs based on traditional settlement infrastructure (e.g., 5 PM ET). Key challenges in this hybrid model are: 1) **Price**: Determining token value between NAV updates to prevent manipulation; 2) **Compliance**: Embedding KYC/whitelisting (e.g., within a vault) to allow free circulation of receipt tokens in DeFi; and 3) **Cross-chain Consistency**: Maintaining a single source of truth for ownership and value across multiple blockchains. Projects like Centrifuge (with its deRWA framework and V3 architecture) and LayerZero address these by using a hub-and-spoke model. A central "hub" chain manages NAV, accounting, and compliance, while a messaging layer (LayerZero) synchronizes this data with "spoke" chains where tokens are used, enabling DeFi composability. This coordination layer, which handles in-transit asset accounting and prevents redemption gateway conflicts, becomes a critical and valuable piece of infrastructure—akin to SWIFT or Visa in traditional finance. For institutions, effective tokenization enables strategies like rehypothecation, where tokenized Treasury funds are used as collateral to borrow stablecoins for reinvestment, amplifying yield. However, failures in price synchronization, redemption limits, or cross-chain messaging pose risks that must be meticulously managed to build institutional trust. Ultimately, the goal is to break the old rules that force a choice between yield, liquidity, and transferability. If tokenization can make capital work simultaneously in multiple ways without compromising security, it will attract the attention of institutions managing billions in idle cash. The entities that successfully orchestrate this coordination between traditional finance timelines and blockchain speed are positioning themselves for a central role in the future capital markets.

链捕手27m ago

Let Funds Flow at Internet Speed

链捕手27m ago

On the Eve of the US Stock Inflation Test, Wall Street Faces the Most Severe 'Data Deception' in History

On the eve of the crucial US June CPI release, a significant credibility gap is emerging between official inflation data and consumer sentiment. While May CPI and PCE figures suggested a "concerning but not critical" picture, the University of Michigan Consumer Sentiment Index plummeted to its lowest level in nearly 50 years. This contradiction is prompting economists to question the reliability of key macroeconomic indicators. The core issue, as highlighted by labor economist Kathryn Anne Edwards, lies in a systemic flaw within the current inflation measurement framework. The Consumer Price Index (CPI) averages prices across a "market basket" meant for a "typical consumer," thereby masking vastly different inflation experiences across demographic groups. For instance, Bureau of Labor Statistics (BLS) research indicates that from 2006 to 2023, the lowest income quintile faced a cumulative inflation rate 7.7 percentage points higher than the highest quintile—a disparity largely invisible in the headline CPI number. This averaging effect means investors and policymakers relying on aggregate CPI may be basing decisions on a statistically smoothed figure that fails to capture the true distribution of economic pressure. Edwards argues that expanding this measurement framework is technically feasible, requiring primarily political will rather than new data collection. The BLS already tracks 100,000 items monthly; creating more granular indices for different family types, income levels, and housing statuses would mainly involve re-weighting existing data. The BLS has produced such experimental series before. A more nuanced data picture is crucial for accurate policy and market forecasting. Ultimately, improving measurement cannot solve underlying economic stresses. Edwards notes concurrent pressures like slowing hiring, stagnant wage growth, persistently high prices, rising credit card debt, a subdued housing market due to high rates, and AI's potential disruption to jobs. These factors collectively explain the deep chasm between official statistics and consumer pessimism. The key takeaway for markets is the need to look beyond a single headline CPI number. Understanding the divergence in inflation experiences across the population is critical for accurately assessing the real pressure within the economy, the path of Federal Reserve policy, and risks on the consumer side.

marsbit32m ago

On the Eve of the US Stock Inflation Test, Wall Street Faces the Most Severe 'Data Deception' in History

marsbit32m ago

On the Eve of the U.S. Stock Inflation Test, Wall Street Faces the Worst 'Data Deception' in History

On the eve of the US June CPI data release, a stark contradiction is undermining market trust in macroeconomic indicators. Official data, showing May CPI at 4.2% and PCE at 3.4%, paints a picture of manageable inflation pressures. However, the University of Michigan Consumer Sentiment Index hit a record low in May and its second-lowest reading in June across its 50-year history, which includes multiple recessions and crises. This gap highlights a systemic flaw in the current inflation measurement system, as argued by labor economist Kathryn Anne Edwards. The CPI, based on an average "market basket" for a "typical consumer," masks vastly different inflation realities across income and demographic groups. BLS research from 2006-2023 shows the lowest income quintile experienced an annual inflation rate approximately 0.28 percentage points higher than the highest quintile, a cumulative 7.7-point difference. This averaging obscures the true economic pressure distribution from investors and policymakers. Edwards argues the technical barriers to improvement are low. The BLS already collects the necessary price data. Expanding the current three consumer baskets—by factors like household type, income, age, or tenure—would mainly involve re-weighting existing data, a path already demonstrated by BLS's experimental series for seniors and income quintiles. Beyond measurement issues, real economic pressures persist, including slowing hiring, stagnant wage growth, elevated prices, rising credit card debt, high interest rates, and AI's potential labor market impact. These factors explain the deep consumer pessimism. For markets, the key takeaway is to question how well a single aggregate CPI captures the true, differentiated inflation pressures and consumption risks that are critical for understanding the Fed's policy path.

链捕手36m ago

On the Eve of the U.S. Stock Inflation Test, Wall Street Faces the Worst 'Data Deception' in History

链捕手36m ago

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect

AI Discovered a 15-Year-Old Linux Bug but Also Wrongly Targeted a Journalist An AI security tool, VEGA, identified "GhostLock" (CVE-2026-43499), a severe Linux kernel vulnerability hidden for 15 years since 2011, affecting nearly all distributions. Exploiting a flaw in the kernel's lock management, an attacker could gain root privileges in about 5 seconds from a standard user account. This demonstrates AI's growing ability to find complex bugs humans missed. In a stark contrast, another AI system caused a dangerous police confrontation. Automotive journalist Joel Feder was surrounded by four police cars after Flock Safety's automated license plate recognition (ALPR) cameras mistakenly flagged his vehicle. The error originated from a typo in a national stolen vehicle database ("34 03 DTM" was entered as "34 DTM"). Feder's manufacturer plate, "34 10 DTM," was misread due to its small font, triggering a nationwide alert. Police, with hands on holsters, detained Feder for an hour before resolving the mistake. The two cases highlight the dual nature of AI in security. On one hand, it can efficiently uncover critical software vulnerabilities, enhancing safety. On the other, it can exponentially amplify human errors—like a simple data entry mistake—when deployed in automated, large-scale surveillance systems without adequate human oversight. The incident underscores the critical need for robust review mechanisms in AI-driven decision systems, especially in high-stakes areas like law enforcement. The greatest vulnerability in the AI era may not be in code, but in the unchecked delegation of final judgment to automated processes.

marsbit2h ago

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect

marsbit2h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片