Nigeria’s New Tax Regime: What You Need to Know (Finance Act 2025)


At Akinyele Oluwale & Co., we are committed to keeping our clients informed about the latest regulatory changes affecting businesses and individuals in Nigeria.


The Finance Act 2025 represents one of the most significant tax reforms in Nigeria in recent years. Signed into law to simplify the tax system, reduce multiple taxation, and improve ease of doing business, the Act introduces several key changes:


Major Highlights:

Company Income Tax (CIT) reduced to 25% for large companies (from 30%).
Tertiary Education Tax significantly reduced from 2% to 0.5%.
- Strengthened rules against multiple taxation across federal, state, and local governments.
- Expanded scope of Value Added Tax (VAT) on digital services and luxury goods.
- Higher exemption thresholds for Capital Gains Tax and Personal Income Tax.
- Mandatory digital compliance through the new Rev360 platform.


New Tax Portal – Rev360

The Federal Inland Revenue Service (FIRS) has launched Rev360 (www.rev360.gov.ng), a unified digital platform for all federal tax filings and payments. This new system makes tax compliance easier, faster, and more transparent.


Our Advisory

These reforms present both opportunities and compliance requirements for businesses. Early adaptation will help you avoid penalties and optimize your tax position.

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Global Companies Turn to Chinese AI Models as Cost, Control and Digital Sovereignty Reshape the AI Market






Global Companies Turn to Chinese AI Models as Cost, Control and Digital Sovereignty Reshape the AI Market


By Akinyele Oluwale & Co. Investment Ltd.


The global artificial-intelligence industry is entering a new phase. For several years, the market was largely defined by a small group of American technology companies whose advanced models became the preferred engines for chatbots, software development, research, customer service and workplace automation.


That dominance is now being challenged.


Companies in the United States, Europe and other regions are increasingly testing or deploying artificial-intelligence models created by Chinese developers. Businesses such as DoorDash, Siemens and Airbnb have reportedly used models from Chinese AI groups including DeepSeek, Z.ai and Moonshot AI as they look for alternatives that are cheaper, flexible and increasingly competitive with leading US systems.


This development is not simply a story about China catching up technologically. It reflects a deeper transformation in how companies choose artificial-intelligence infrastructure.


Price remains an important factor, but businesses are also thinking about control, privacy, geopolitical exposure, vendor dependence and the ability to run models on their own servers. The result is a more fragmented and competitive global AI market in which companies may use several models from different countries rather than relying exclusively on one provider.


Why Chinese AI Models Are Attracting Global Companies


The most immediate attraction is cost.


Large AI models charge users based on the volume of information processed. This is generally measured in tokens, which represent units of text sent to and generated by a model. When a company uses AI occasionally, the cost may appear modest. At enterprise scale, however, millions or billions of tokens can be consumed every day.


A delivery company may use AI to interpret customer requests, optimise logistics, generate software, support merchants and respond to users. A manufacturing company may deploy AI across engineering, equipment maintenance, supply chains and technical documentation. When these systems operate continuously, even small differences in token prices can produce major annual savings.


Chinese model developers have competed aggressively on price. Some of their models reportedly cost only a fraction of the amount charged by leading American providers for comparable workloads. The Financial Times reported that certain Chinese alternatives can be between 10 and 60 times cheaper, depending on the model and use case.


Independent reporting has also illustrated the scale of the difference. One developer interviewed by Rest of World estimated that an hour-long coding session costing about $10 through one premium US model could cost less than 50 cents using DeepSeek. That example is anecdotal and should not be treated as a universal price comparison, but it demonstrates why developers and corporate technology teams are paying attention.


From Cheap Alternatives to Serious Competitors


Low cost alone would not be enough to drive adoption if the models performed poorly.


The more significant development is that Chinese models have improved substantially in reasoning, programming, mathematics and document analysis. DeepSeek’s models, Alibaba’s Qwen family, Z.ai’s GLM models and Moonshot AI’s Kimi products have become credible alternatives for a growing number of enterprise tasks.


Chinese developers have also embraced open-weight distribution. Open-weight models make their trained parameters available for companies to download, customise and operate on their own infrastructure, subject to the applicable licence.


This gives organisations more control over where data is processed and how the model is configured. A company can place the model inside a private cloud, a secured data centre or an on-premises system instead of sending every request to an external AI provider.


Siemens has publicly described its work on a sovereign AI platform and confirmed that it has experimented with popular open-weight models including Llama, Qwen, DeepSeek and GPT-related systems. The objective is to create an environment that is self-contained, sustainable and cost-effective.


That approach is especially relevant to industrial companies. Siemens operates in sectors such as manufacturing, transportation, energy, infrastructure and healthcare, where reliability, confidentiality and technical precision are essential. Its broader AI strategy emphasises systems designed for real-world industrial environments rather than consumer chat alone.


DoorDash, Airbnb and the Multi-Model Strategy


According to the Financial Times, DoorDash and Airbnb are among the companies using Chinese-developed AI tools. The significance is not necessarily that these firms are replacing every American model. Instead, they appear to be adopting a multi-model strategy.


Under this approach, a company chooses different models for different tasks.


A premium American frontier model might be reserved for highly complex reasoning, sensitive business decisions or important customer interactions. A lower-cost Chinese model might handle routine coding, summarisation, classification or automated workflows where the difference in quality is small but the difference in cost is substantial.


This model-routing approach can reduce expenses without forcing a company to depend entirely on one provider.


It also creates competitive pressure. If businesses can move workloads among several models, AI developers must compete more aggressively on price, performance, reliability and service quality.


The era in which enterprises automatically selected the best-known US model for every task may therefore be ending.


What the Token-Usage Claim Really Means


The statement that Chinese AI models have overtaken American models in token usage is based on data from OpenRouter.


OpenRouter is a platform that enables users and developers to access many AI models through a single interface. Because it processes requests across several providers, its data offers a useful indication of which models are gaining popularity among developers using the service.


According to the Financial Times, Chinese models surpassed US-developed rivals in the number of tokens processed on OpenRouter during the period examined.


This is an important signal, but it requires context.


OpenRouter represents only one part of the AI market. It does not capture every request made directly through OpenAI, Anthropic, Google, Microsoft, Amazon, Alibaba, Baidu or other private enterprise systems. Large organisations may also run open-weight models internally, and those tokens would not necessarily appear in OpenRouter’s public figures.


The data therefore shows that Chinese models have achieved major usage momentum among OpenRouter customers. It does not prove that they have exceeded US models across all global consumer, corporate and government AI activity.


Nevertheless, the development is notable. OpenRouter is widely used by developers who can easily compare competing models. Rising token consumption suggests that Chinese models are not merely being tested out of curiosity; they are being used for meaningful workloads.


Europe’s Search for Digital Sovereignty


Cost is only one part of the story. In Europe, concerns about technological dependence have become increasingly important.


Many European governments and businesses rely heavily on American cloud platforms, software companies and AI developers. This creates strategic risks.


A provider may change its prices, modify its terms, restrict access to a particular model or be required by its government to limit service in another country. Companies may also worry about whether sensitive data is exposed to foreign legal jurisdictions.


These concerns have strengthened calls for digital sovereignty, meaning the ability of a country or organisation to control its data, infrastructure and essential technologies.


Open-weight models support this objective because they can be installed within European-controlled infrastructure. Chinese models are not automatically sovereign merely because they are open-weight, and European organisations must still examine licences, security, training data and legal risks. However, the ability to download and independently host a model gives businesses more flexibility than depending entirely on a closed foreign API.


The Financial Times reported that European interest has also been influenced by fears that US companies or authorities could restrict access to AI services. Even when proposed restrictions are later reversed, the possibility alone can alter corporate planning.


For European businesses, the issue is becoming less about choosing between America and China and more about avoiding dependence on any single country or supplier.


The Open-Weight Advantage


Open-weight AI models offer several strategic benefits.


First, they can be customised. A manufacturer can adapt a model to engineering documents, technical terminology and internal workflows. A bank can fine-tune a system for compliance and risk analysis. A retailer can optimise it for product information, inventory and customer service.


Second, they can be self-hosted. Sensitive corporate data can remain inside a controlled computing environment.


Third, they reduce vendor lock-in. A business is less exposed to sudden price increases or changes in access conditions.


Fourth, they enable experimentation. Developers can examine model behaviour, modify components and integrate the technology into specialised systems.


These advantages do not mean open-weight models are free to operate. Companies must still pay for servers, GPUs, electricity, engineering, cybersecurity, monitoring and maintenance.


The cost comparison must therefore consider the full lifecycle of the system rather than only the advertised token price.


For a small business, paying for a hosted API may remain cheaper and simpler than operating an AI model internally. For a large organisation processing enormous volumes of requests, self-hosting may offer substantial savings.


Security, Censorship and Governance Risks


The growing adoption of Chinese AI models does not eliminate important concerns.


Companies must assess cybersecurity, data handling, model safety, reliability and potential political restrictions.


Some research has identified weaknesses in the safety controls of DeepSeek models, particularly when they are tested against harmful or adversarial prompts. Academic evaluations have reported vulnerabilities that require further mitigation and model hardening.


Chinese-developed systems may also reflect local regulatory requirements concerning politically sensitive subjects. This could affect outputs in areas such as history, geopolitics and public policy.


For many enterprise applications, such as coding, document extraction or industrial maintenance, these issues may be less relevant. However, organisations must still test models carefully before deploying them in customer-facing or high-risk environments.


There is also a geopolitical risk from the Chinese side. Reuters reported that Beijing has considered placing restrictions on overseas access to China’s most advanced future AI models, reflecting concerns that AI is becoming a national-security asset. The proposals were still under discussion at the time of reporting.


This means companies seeking to reduce dependence on US providers could eventually become exposed to Chinese restrictions instead. A truly resilient strategy therefore requires diversification rather than simply switching allegiance from one national ecosystem to another.


Competition Could Lower AI Costs Worldwide


The emergence of strong Chinese models is likely to benefit corporate users through greater competition.


When only a small number of companies provide advanced AI, they have considerable pricing power. As more capable models enter the market, businesses gain leverage.


US companies may respond by lowering prices, releasing smaller and more efficient models or offering more flexible deployment options. Chinese developers may continue improving performance and international support. European and Middle Eastern companies may accelerate their own sovereign AI projects.


The result could be a more diverse marketplace where enterprises select models according to workload, cost, privacy and performance.


This development may also encourage the rise of AI-routing platforms. These systems automatically send each request to the most suitable model. A difficult scientific question may be assigned to a top frontier system, while a simple email classification task goes to a much cheaper model.


The future enterprise AI stack may therefore resemble a diversified investment portfolio rather than a single-provider contract.


Implications for Investors


For investors, the trend raises several important questions.


The first concerns the sustainability of premium AI pricing. If open-weight Chinese models can deliver acceptable performance at dramatically lower costs, the margins of leading US AI providers may come under pressure.


The second concerns infrastructure. Cheaper models may stimulate more AI usage, increasing demand for data centres, semiconductors, cloud computing, electricity, cooling and networking.


The third concerns software companies. Businesses that build model-independent platforms may benefit because they can integrate the best available model rather than being tied to one supplier.


The fourth concerns geopolitical regulation. Export controls, investment restrictions and national-security policies could reshape which models are available in different markets.


Investors should therefore avoid assuming that technological leadership will automatically produce permanent commercial dominance. In AI, cost efficiency, distribution, openness and developer adoption may be as important as benchmark performance.


What This Means for African Businesses


African companies could also benefit from the growing competition among AI providers.


Cost remains a major barrier to adoption in emerging markets. Cheaper models may make AI-based customer service, financial analysis, education, healthcare support and software development more accessible.


Open-weight systems could allow African governments and enterprises to host AI locally, helping them meet data-protection and sovereignty objectives.


However, deploying open models requires technical expertise, computing infrastructure and reliable electricity. Many organisations may therefore prefer regional cloud providers or managed AI platforms that offer lower-cost models without requiring them to operate the technology directly.


African businesses should also evaluate whether models understand local languages, regulations and cultural contexts. A cheap system that performs poorly on African data may ultimately create more cost than it saves.


Conclusion


The report that global companies are turning to Chinese AI models to reduce costs is broadly accurate.


DoorDash, Siemens and Airbnb are among the companies reported to be using or testing models from Chinese developers. Siemens has also publicly confirmed experiments with DeepSeek and Qwen as part of its sovereign AI strategy.


The appeal is based on more than price. Chinese models increasingly offer competitive performance, open-weight availability, customisation and the possibility of private deployment.


The claim that Chinese models have overtaken US rivals in token usage is also supported by OpenRouter data, but it should be described precisely. It reflects activity on that platform, not necessarily the entire global AI industry.


The broader message is clear: artificial intelligence is no longer a market controlled exclusively by a few American frontier laboratories.


Companies are becoming more selective. They are comparing models by cost, performance, security, openness and geopolitical risk. Many are building diversified systems that combine American, Chinese, European and internally developed technologies.


This shift could lower prices, accelerate innovation and reduce dependence on individual suppliers. It could also intensify competition between countries seeking leadership in one of the most strategically important technologies of the century.


For businesses and investors, the winning strategy may not be to choose one national AI ecosystem. It may be to remain flexible enough to use the best model for each task while maintaining control over data, costs and critical infrastructure.




About Akinyele Oluwale & Co. Investment Ltd.


Akinyele Oluwale & Co. Investment Ltd. provides commentary and research on financial markets, investments, artificial intelligence, fintech, digital assets and emerging global economic trends.


Website: www.akinyeleoluwale.finance
Email: akinyeleoluwaleco@gmail.com
Telephone: +234 802 398 8821


Disclaimer: This article is provided for educational and informational purposes only. It does not constitute investment, financial, legal or technology-procurement advice.







Lawson’s JPYC Payment Trial: Could Stablecoins Become Part of Everyday Shopping in Japan?

Lawson’s JPYC Payment Trial: Could Stablecoins Become Part of Everyday Shopping in Japan?


By Akinyele Oluwale & Co. Investment Ltd.


Japan’s digital-payment landscape may be approaching an important turning point. Lawson, one of the country’s leading convenience-store chains, is preparing to test payments using JPYC, a stablecoin designed to maintain a one-to-one value relationship with the Japanese yen.


The trial is expected to take place in August 2026 at the Lawson Takanawa Gateway City store in Tokyo’s Minato Ward. Lawson will work with KDDI and HashPort to examine how stablecoin payments can be integrated into an ordinary retail checkout system. Official information describes the project as a technical demonstration involving selected employees and project participants rather than a full public rollout.


Even with its limited scale, the experiment could become a significant development for Japan’s financial-technology industry. It moves stablecoins away from purely online cryptocurrency trading and closer to one of the most familiar consumer activities: purchasing everyday goods at a convenience store.


What Is JPYC?


JPYC is a digital token whose value is designed to remain equal to the Japanese yen. In practical terms, one JPYC is intended to represent one yen.


Unlike Bitcoin, whose market price can rise or fall sharply, JPYC is designed to provide price stability. That makes it potentially more suitable for payments, settlements and commercial transactions.


JPYC became Japan’s first domestically issued regulated yen-pegged stablecoin after its issuer obtained the relevant registration and began issuance in October 2025. The tokens are convertible into yen and backed by assets including bank deposits and Japanese government bonds.


A stablecoin should not be confused with a central bank digital currency. JPYC is issued by a private company under Japan’s financial regulatory framework. A central bank digital currency, by contrast, would normally be issued directly by a central bank.


Nevertheless, both forms of digital money reflect a broader transformation in how value can be stored, transferred and used.


How the Lawson Payment Trial Is Expected to Work


The Lawson experiment will use HashPort Wallet, a non-custodial digital wallet through which participants can hold and use JPYC.


At the checkout, the customer will display a payment barcode on a smartphone. The barcode will be scanned at Lawson’s normal point-of-sale terminal, allowing the transaction to be processed through the retailer’s existing checkout environment.


On the merchant side, HashPort’s business-payment infrastructure will support the stablecoin transaction without requiring the store to manage a conventional cryptocurrency wallet directly. The participating companies intend to evaluate several practical issues, including system integration, checkout procedures, transaction speed and wallet usability.


This is important because many previous cryptocurrency-payment experiments have operated separately from retailers’ primary point-of-sale systems. A payment may have required a special device, a separate application or an additional reconciliation process.


Integrating stablecoin payments directly with the POS system could make the experience more similar to using a debit card, QR payment or other familiar cashless option.


Reports have described the project as Japan’s first stablecoin-payment trial directly connected to a conventional retail POS system. That description should still be treated as a claim associated with the project and participating companies, particularly because the trial has not yet started.


Why Lawson Is a Significant Test Partner


Lawson is not a small technology start-up or a specialist cryptocurrency merchant. It is a major convenience-store operator serving a broad range of everyday customers.


Convenience stores occupy an important position in Japanese society. They sell food, drinks, household products and personal-care items, while also offering services such as bill payments, ticketing and parcel collection.


A stablecoin trial in this type of environment offers something that laboratory experiments cannot fully reproduce: exposure to the operational realities of high-frequency retail payments.


The participating companies will need to determine whether a stablecoin transaction can be completed quickly enough to avoid queues, whether staff can handle the process easily and whether the system can integrate with inventory, accounting and settlement procedures.


For a payment technology to succeed in retail, it must do more than function technically. It must also be fast, understandable, reliable and economical.


Potential Benefits for Retailers


One of the strongest arguments for stablecoin payments is the possibility of reducing transaction and settlement costs.


Traditional card payments often involve several intermediaries, including card networks, acquiring banks, payment processors and issuing institutions. Each participant may charge a fee or contribute to the merchant’s overall processing cost.


Blockchain-based stablecoin transactions can, in certain situations, move value through a more direct infrastructure. HashPort describes its business-payment service as a zero-fee stablecoin-payment solution, although the complete economics of a large commercial deployment would depend on implementation, conversion, compliance, technology and operational costs.


Faster settlement could also improve cash-flow management. Rather than waiting for card proceeds to be transferred according to a processor’s settlement timetable, a merchant could potentially receive digital funds more quickly.


Additional possible benefits include automated reconciliation, programmable payments and closer integration between payment data and digital commercial services.


However, these advantages must be proven under real operating conditions. The Lawson trial is designed to examine whether the theoretical efficiencies of stablecoins can survive contact with a busy retail checkout.


Potential Benefits for Consumers


For consumers, the most immediate benefit would be an additional payment option.


People who already hold JPYC could spend it directly without first converting it back into money in a bank account. This could reduce friction between digital-asset ownership and ordinary economic activity.


Stablecoins may eventually support instant transfers between individuals, merchants and online platforms. A customer could potentially receive JPYC from an employer, business, digital service or family member and spend it at participating retailers.


Stablecoins may also be useful for programmable rewards. Retailers could attach loyalty points, discounts or other incentives to particular transactions.


However, a new payment method will not succeed merely because it is technologically advanced. Japanese consumers already have access to cash, cards, electronic money and widely used QR-payment systems. JPYC will need to demonstrate a clear advantage in cost, convenience, speed or functionality.


Why Japan’s Regulatory Environment Matters


Japan has taken a relatively structured approach to stablecoin regulation.


Revisions to the Payment Services Act, which took effect in 2023, created a legal framework for certain fiat-referenced digital payment instruments. This gave regulated companies a clearer path for issuing and distributing yen-linked stablecoins.


JPYC subsequently obtained registration as a funds-transfer service provider and launched its regulated stablecoin in 2025. The token is fully convertible into yen and supported by reserve assets, including bank deposits and Japanese government bonds.


This regulatory backing is important. Consumers and businesses are more likely to consider using a digital payment instrument when there are defined rules regarding issuance, reserves, redemption and supervision.


At the same time, regulation does not remove every risk. Users must still consider wallet security, operational failures, cyberattacks, fraud, privacy and the possibility of service interruption.


The Strategic Role of KDDI and HashPort


KDDI’s participation gives the project additional significance.


Telecommunications companies control infrastructure that is closely connected with mobile wallets, consumer identity, data services and digital payments. KDDI also has experience in financial and payment platforms, making it a potentially important bridge between blockchain technology and mainstream consumer services.


HashPort provides the wallet and stablecoin-payment infrastructure required for the experiment. Its HashPort Wallet allows users to control digital assets directly, while its business solution is designed to help merchants accept stablecoins without operating their own complex blockchain systems.


The combination of Lawson’s retail network, KDDI’s technology and financial ecosystem, and HashPort’s blockchain expertise illustrates how stablecoin adoption may develop: not through one company alone, but through partnerships involving merchants, telecommunications providers, financial institutions and technology platforms.

What the Trial Does Not Mean


It is important not to exaggerate the announcement.


The project does not mean that every Lawson store in Japan will begin accepting JPYC in August.


The official trial will take place at one location and involve a restricted group of participants. It will test technology, checkout operations, transaction time and usability.


There is no confirmed nationwide implementation timetable.


There is also no guarantee that Lawson will adopt JPYC permanently. The results of the experiment will likely determine whether the payment method is expanded, redesigned or discontinued.


Accordingly, investors and digital-asset users should view the announcement as a step in a development process rather than evidence of immediate mass adoption.


Wider Implications for the Stablecoin Market


The Lawson project is part of a larger international movement toward regulated stablecoins.


Stablecoins have become important instruments for cryptocurrency trading, cross-border transfers, settlement and decentralized finance. However, the global market remains heavily dominated by tokens linked to the US dollar.


JPYC’s developers hope that a regulated yen-linked stablecoin will strengthen the Japanese currency’s presence in blockchain-based markets. The company has said it aims to increase issuance substantially and promote wider domestic and international usage.


Retail adoption could help achieve that objective. A currency becomes more useful when it can be spent in many places. If JPYC remains limited to digital-asset platforms, its role may remain specialised. If consumers can use it for food, transport, shopping and services, its economic relevance could grow.


The experiment may also encourage banks, fintech companies and competing retailers to accelerate their own stablecoin projects.


Challenges That Must Be Addressed


Despite the potential benefits, several obstacles remain.


First, the payment experience must be extremely fast. Convenience-store customers expect checkout to take only a few seconds.


Second, users must be protected from wallet theft, lost devices and fraudulent transactions.


Third, businesses need clear accounting and tax procedures for receiving and converting stablecoins.


Fourth, payment systems must comply with anti-money-laundering, customer-verification and transaction-monitoring requirements.


Fifth, consumers must understand how to obtain, redeem and safeguard JPYC.


Finally, there must be a compelling reason to change established behaviour. A customer who is satisfied with cash, a credit card or an existing mobile-payment service may not adopt a stablecoin without a noticeable benefit.


What the Lawson Trial Could Mean for Other Countries


The experiment may also offer useful lessons for markets outside Japan.


Countries seeking to modernise retail payments are increasingly examining stablecoins and central bank digital currencies. The central question is no longer simply whether digital money can be created. It is whether such money can be integrated safely and efficiently into everyday commercial activity.


For African countries, including Nigeria, the Lawson test illustrates the importance of merchant integration.


A digital currency can only achieve broad adoption when consumers can use it easily at shops, online platforms, transport services and other ordinary businesses.


The project also shows that adoption may depend on cooperation among regulated issuers, wallet providers, telecom companies and retailers. Technology alone is not enough; an effective commercial and regulatory ecosystem is required.


Conclusion


Lawson, KDDI and HashPort have officially announced a technical payment trial at the Lawson Takanawa Gateway City store in Tokyo during August 2026. Media reports say it is expected to begin in early August. However, the official announcement does not provide an exact start date, and the initial experiment will be limited to selected employees and project participants.


The trial should therefore be viewed as an important but carefully controlled step toward real-world stablecoin adoption.


Its significance lies not in the number of customers who will initially participate, but in the attempt to integrate a regulated yen stablecoin directly into a conventional convenience-store POS system.


Should the experiment demonstrate fast transactions, reliable operation, strong security and lower costs, it could provide a foundation for broader retail adoption. It may also encourage other Japanese companies to explore stablecoin payments.


The future of JPYC in Japanese retail remains uncertain. Nevertheless, Lawson’s participation moves the conversation from theory to practical testing—and that alone represents a meaningful development in the evolution of digital money.


About Akinyele Oluwale & Co. Investment Ltd.


Akinyele Oluwale & Co. Investment Ltd. provides research and commentary on investments, financial markets, fintech, digital assets and emerging global economic developments.


Disclaimer: This article is for general information and educational purposes only. It does not constitute investment, financial or legal advice. Stablecoins and digital assets may involve regulatory, operational, cybersecurity and market risks.


 


 


 

China's Digital Yuan Goes Offline: A New Milestone in the Evolution of Digital Payments

China's Digital Yuan Goes Offline: A New Milestone in the Evolution of Digital Payments


By Akinyele Oluwale & Co. Investment Ltd.
Website: www.akinyeleoluwale.finance




Introduction


China has once again demonstrated why it remains one of the world's leading innovators in financial technology. In a significant development for the country's Central Bank Digital Currency (CBDC), the Digital Yuan (e-CNY) mobile application now supports offline payment codes, allowing users to complete transactions even when internet connectivity is weak or temporarily unavailable.


The Digital RMB Operations Management Center confirmed that the feature initially supports digital wallets issued by Industrial and Commercial Bank of China (ICBC), Agricultural Bank of China (ABC), Bank of Communications, Postal Savings Bank of China (PSBC), and Industrial Bank Co., Ltd. Support for additional financial institutions is expected to be introduced gradually.


Although mobile payments have become a way of life across China, they have always depended, to varying degrees, on stable internet access. This latest innovation addresses one of the last remaining challenges facing digital payments—maintaining transaction capability during network interruptions.


The introduction of offline payment codes is more than just another software update. It represents another important step toward building a resilient, inclusive, and intelligent digital financial ecosystem that could influence the future of payment systems worldwide.




Understanding the Digital Yuan (e-CNY)


The Digital Yuan, also known as e-CNY, is China's official Central Bank Digital Currency issued by the People's Bank of China (PBOC). Unlike cryptocurrencies such as Bitcoin or Ethereum, the Digital Yuan is sovereign money backed directly by China's central bank.


Its objectives include:



  • Improving payment efficiency

  • Reducing cash handling costs

  • Strengthening financial inclusion

  • Combating fraud and illicit financial activities

  • Supporting China's rapidly expanding digital economy


Since pilot testing began several years ago, millions of Chinese consumers have used the Digital Yuan for purchases ranging from groceries and transportation to utility bills and government services.




What Is the New Offline Payment Code Feature?


Traditionally, QR-code payments require both the merchant and the customer's devices to communicate through the internet before a payment can be authorized.


The newly introduced offline payment code changes that experience.


When the e-CNY application detects that internet connectivity has become unstable or unavailable, it can automatically generate an offline payment code. The merchant scans the code, and the transaction is completed using securely stored payment credentials on the user's device. Once internet access is restored, the transaction information is synchronized with the central payment system.


This seamless transition allows users to continue making payments without manually switching payment modes or worrying about temporary signal loss.




Why This Innovation Matters


1. Improved Payment Reliability


One of the greatest advantages of the offline payment feature is reliability.


Whether a user is inside a subway station, basement parking lot, rural village, elevator, airport terminal, or disaster zone, payment interruptions caused by poor network coverage become significantly less likely.


Consumers gain confidence knowing that their preferred payment method remains available even under less-than-ideal conditions.




2. Greater Financial Inclusion


Digital payment adoption has transformed commerce, but internet access remains uneven in many regions.


Offline payment capability makes digital currency more practical for:



  • Rural communities

  • Remote towns

  • Temporary construction sites

  • Agricultural markets

  • Disaster recovery operations


This contributes to one of the core goals of Central Bank Digital Currencies—making digital finance accessible to more people regardless of location.




3. Business Continuity


Merchants depend on uninterrupted payment systems.


When internet connectivity fails, businesses often lose sales because customers cannot complete transactions.


Offline payment functionality reduces this risk by allowing commerce to continue during temporary communication failures.


Retail stores, restaurants, supermarkets, pharmacies, hospitals, transportation services, and public utilities all benefit from increased payment resilience.




4. Emergency Preparedness


Natural disasters, network outages, cyber incidents, and infrastructure failures can disrupt payment systems.


Offline digital payments offer an additional layer of resilience.


Emergency responders, humanitarian organizations, and affected communities could continue exchanging value even while communication networks are being restored.


This makes offline CBDC functionality strategically important beyond everyday convenience.




The Technology Behind Offline Payments


Although detailed technical specifications have not been fully disclosed publicly, offline payment systems generally rely on several advanced security technologies:


Secure Device Authentication


Each wallet securely verifies the identity of the payment device.


Encrypted Payment Tokens


Instead of exposing sensitive banking information, encrypted payment credentials authorize the transaction.


Secure Hardware Protection


Sensitive payment information is protected within secure hardware components on compatible devices.


Transaction Synchronization


Once connectivity returns, completed offline transactions synchronize with the broader payment network.


This layered security approach helps reduce fraud risks while maintaining a smooth customer experience.




The Five Participating Banks


The Digital RMB Operations Management Center confirmed that the first rollout supports wallets issued by:



  • Industrial and Commercial Bank of China (ICBC)

  • Agricultural Bank of China (ABC)

  • Bank of Communications

  • Postal Savings Bank of China (PSBC)

  • Industrial Bank Co., Ltd.


The feature is expected to expand to additional participating banks in future updates.




Global Significance


China continues to lead the world in practical Central Bank Digital Currency implementation.


While many countries are still researching CBDCs, China has moved beyond experimentation into continuous feature enhancement.


This latest development sends a clear signal that future payment systems will prioritize:



  • Reliability

  • Convenience

  • Security

  • Accessibility

  • Resilience


Central banks around the world—including those in Europe, Africa, Asia, and the Americas—are closely monitoring China's progress.




Implications for Africa


African economies are rapidly embracing digital payments.


Countries including Nigeria, Ghana, Kenya, Rwanda, and South Africa continue investing in fintech innovation.


For policymakers across Africa, China's offline payment solution demonstrates how digital currencies can better serve populations where internet connectivity may be inconsistent.


Potential applications include:



  • Rural market payments

  • Government welfare disbursements

  • Agricultural transactions

  • Emergency relief funding

  • Cross-border regional commerce

  • Financial inclusion initiatives


Nigeria's own experience with the eNaira illustrates the growing importance of CBDC innovation, though wider adoption will depend on continued improvements in usability, merchant acceptance, and consumer confidence.




Benefits for Consumers


Consumers stand to gain several advantages:



  • Faster payments

  • Reduced dependence on mobile networks

  • Improved convenience

  • Better shopping experience

  • Enhanced confidence during network outages

  • Continued access to digital money in difficult conditions


For many users, the difference between online and offline payments may become almost invisible as the technology operates automatically in the background.




Benefits for Businesses


Businesses may experience:



  • Reduced transaction failures

  • Higher customer satisfaction

  • Increased sales during network disruptions

  • Improved operational resilience

  • Lower dependence on cash handling


Retailers that frequently experience poor network coverage may find this especially valuable.




Potential Challenges


Despite its advantages, offline payment functionality also introduces considerations that require careful management:


Transaction Limits


Offline transactions may be subject to value limits to reduce risk.


Device Compatibility


Some functionality may depend on compatible smartphones or secure hardware.


Fraud Prevention


Robust safeguards are essential to prevent double spending and unauthorized transactions.


Merchant Adoption


Merchants must ensure their payment terminals support the latest e-CNY capabilities.


These challenges are common in the evolution of digital payment systems and are likely to diminish as the technology matures.




The Future of Central Bank Digital Currencies


China's latest innovation highlights an important lesson:


The future of money is not simply digital—it must also be available anytime, anywhere, under almost any circumstances.


Offline payment functionality may soon become a standard expectation for Central Bank Digital Currencies worldwide.


Countries designing next-generation payment infrastructure will increasingly focus on:



  • Offline capability

  • Cross-border interoperability

  • Smart contract integration

  • Internet of Things (IoT) payments

  • Artificial Intelligence-driven fraud detection

  • Enhanced cybersecurity


As digital economies continue expanding, resilient payment infrastructure will become as essential as electricity and telecommunications.




Conclusion


China's introduction of offline payment codes for the Digital Yuan marks another important milestone in the evolution of digital finance. By enabling payments during periods of weak or unavailable internet connectivity, the country is addressing one of the remaining limitations of digital payment systems.


Although the feature currently supports wallets from five participating Chinese banks, its gradual expansion suggests a broader strategy aimed at strengthening payment resilience, increasing financial inclusion, and supporting a fully digital economy.


For governments, financial institutions, fintech companies, investors, and consumers around the world, this development offers valuable insight into the direction of future payment technologies. It demonstrates that innovation is no longer focused solely on speed or convenience—it is increasingly about ensuring that financial services remain accessible under all conditions.


As central banks continue to explore the future of money, China's Digital Yuan provides an important case study in how digital currencies can evolve from experimental technology into robust national payment infrastructure. The introduction of offline payment codes is not merely a technical enhancement; it is a glimpse into the next generation of resilient digital finance.




About Akinyele Oluwale & Co. Investment Ltd.


Akinyele Oluwale & Co. Investment Ltd. provides insights into global finance, investment trends, fintech innovation, digital assets, capital markets, and emerging economic developments. Our mission is to help investors, businesses, and policymakers make informed financial decisions through timely analysis and research.

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