For more than a decade, global investors became accustomed to an extraordinary financial environment.
Interest rates were exceptionally low.
Capital was relatively inexpensive.
Governments could borrow cheaply.
Companies could finance expansion at attractive rates.
Investors searching for higher returns moved aggressively into equities, technology, property and other risk assets.
That environment has changed.
Inflation has returned as a major policy challenge.
Government borrowing requirements have increased.
Bond yields have risen.
Artificial-intelligence infrastructure is creating enormous additional demand for capital.
And central banks are confronting a difficult question:
For investors, however, another question may be even more important:
The answer cannot be determined by policy rates alone.
A central bank can reduce its official interest rate while long-term government bond yields remain elevated.
Governments can continue issuing large quantities of debt.
Banks can maintain strict lending standards.
And investors can continue demanding high returns for providing capital.
This means:
The wider framework is:
Understanding this chain may be essential to understanding the next phase of global markets.
The global financial system may be undergoing a structural change in the price and availability of capital.
During the years following the global financial crisis, extraordinarily low interest rates supported borrowing and asset valuations.
Today, several forces are operating differently.
Inflation remains important.
Government debt is elevated.
Governments require substantial financing.
AI, defence, energy and infrastructure investment are competing for capital.
And investors are demanding greater compensation for holding some long-term debt.
The IMF reported this week that average 10-year government bond yields across the G7 increased by more than one percentage point between February and September 2026, reaching their highest level in nearly two decades. PFM
The investment question is therefore changing from:
When will central banks cut rates?
to:
Those are not necessarily the same event.
Liquidity is one of the most misunderstood concepts in financial markets.
It does not simply mean that there is “money in the system.”
For investors, liquidity is better understood through the availability, cost and willingness of capital to move through the financial system.
Consider a simplified example.
Suppose a central bank reduces its policy rate from 5% to 4.5%.
At first glance, this appears positive for markets.
But imagine that, at the same time:
Government borrowing increases.
Long-term bond yields remain high.
Banks tighten lending standards.
Corporate credit spreads widen.
Investors become more risk-averse.
Would financial conditions necessarily become dramatically easier?
No.
The policy rate has fallen.
But the actual financing environment may remain restrictive.
That distinction matters because asset valuations depend partly on the returns investors can obtain elsewhere.
When relatively safe government bonds offer attractive yields, investors may demand greater expected returns before accepting the additional risks associated with equities, property, private markets and other assets.
The true liquidity question is therefore broader than:
Investors should ask:
The IMF's October 2026 Global Financial Stability Report says financial markets have remained surprisingly resilient.
But it explicitly warns that resilience should not be confused with safety.
One major risk identified by the Fund is a sharp increase in sovereign bond yields driven by inflation pressures, fiscal imbalances and heavy issuance of government and private-sector debt. International Monetary Fund
Why does this matter?
Government bond yields influence borrowing costs throughout financial markets.
They affect:
Mortgages.
Corporate bonds.
Business loans.
Infrastructure financing.
Equity valuations.
Government interest costs.
And international capital flows.
The sovereign bond market is therefore not a side story.
Government borrowing has become another important part of the liquidity equation.
The IMF's April 2026 Fiscal Monitor estimated global public debt at just under 94% of global GDP in 2025, with debt projected to reach approximately 100% by 2029. International Monetary Fund
This week, the IMF again called for governments to address deficits and debt as borrowing costs rise. Reuters
The mechanism matters.
Governments finance deficits partly by issuing bonds.
When government borrowing increases substantially, more bonds must be absorbed by investors.
Those bonds compete with other investments for capital.
The relationship becomes:
This does not mean government borrowing automatically causes bond yields to rise.
Inflation, monetary policy, economic growth, investor demand and global risk sentiment also matter.
But large financing requirements can become increasingly important when markets are already sensitive to inflation and debt sustainability.
Yesterday's Day 39 analysis examined the financing behind the AI boom.
That issue also belongs inside today's liquidity story.
AI requires enormous investment in:
Data centres.
Semiconductors.
Electricity generation.
Transmission infrastructure.
Cooling systems.
And telecommunications.
Central bankers meeting in Bangkok have been examining whether this investment boom is increasing demand for capital before its longer-term productivity benefits fully materialise. Reuters reports that this dynamic is contributing to debate about whether interest rates may remain structurally higher than investors became accustomed to during the previous era of cheap money. Reuters
This creates competition for capital:
When many sectors simultaneously require substantial financing, the price of capital becomes increasingly important.
Central banks cannot focus solely on economic growth.
Their mandates generally require significant attention to price stability.
If inflation remains persistent, policymakers may be reluctant to reduce interest rates aggressively.
The current environment is complicated further by energy costs, geopolitical uncertainty and large investment requirements.
This means monetary policy may remain restrictive even when parts of the economy would benefit from cheaper financing.
The relationship is:
But again, monetary policy is only one component of financial conditions.
The IMF reports that long-term sovereign yields have increased substantially across several major economies.
Between February and September, average G7 10-year government bond yields rose by more than one percentage point. PFM
That matters because long-term yields incorporate expectations about several factors:
Future inflation.
Future policy rates.
Economic growth.
Government borrowing.
Fiscal credibility.
And the compensation investors require for holding long-duration bonds.
This means bond markets can remain restrictive even if central banks eventually begin reducing short-term rates.
The global liquidity environment can be understood through two interconnected forces.
The first begins with inflation.
When inflation rises substantially, central banks may increase interest rates.
Higher rates generally make borrowing more expensive.
Credit growth can slow.
Economic demand can moderate.
Asset valuations may face pressure.
When inflation declines sustainably, central banks may eventually have more room to ease policy.
But this is only half the story.
The second begins with government finances.
Governments must finance spending that exceeds revenue.
One mechanism is bond issuance.
When borrowing requirements are large, investors must absorb substantial debt supply.
If investors demand greater compensation, yields can rise.
That can increase government interest costs.
The cycle can become:
This is why fiscal and monetary policy increasingly interact.
Put both forces together:
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This framework helps explain why investors should not analyse central-bank decisions in isolation.
Lower financing costs can support equity valuations because future corporate cash flows become more valuable when discounted at lower rates.
But if long-term yields remain high despite policy-rate reductions, valuation support may be weaker than investors expect.
Highly valued growth companies can be particularly sensitive.
Bond markets sit at the centre of the liquidity reset.
Investors must evaluate:
Inflation.
Government borrowing.
Fiscal credibility.
Central-bank policy.
Economic growth.
And term premiums.
Higher yields may attract investors seeking income.
But rising yields can also produce losses for existing holders of longer-duration bonds.
Companies generally borrow at a premium over government yields.
Therefore:
Highly leveraged businesses can become particularly vulnerable.
This was one of the lessons from our Day 39 AI-financing analysis.
Higher interest rates can initially improve some bank lending margins.
But prolonged high rates can also reduce credit demand and increase borrower stress.
The impact is therefore not one-directional.
Global liquidity conditions matter significantly for emerging economies.
When yields in advanced economies become more attractive, international investors may demand higher returns before allocating capital to riskier markets.
This can influence:
Currencies.
Government borrowing costs.
Corporate financing.
Portfolio flows.
And foreign investment.
The IMF has specifically warned that higher global yields can spill over into Asian financial markets. Reuters
The same transmission principle matters more broadly across emerging economies.
For Nigeria, global liquidity conditions matter through several channels.
International borrowing costs.
Foreign portfolio investment.
Exchange-rate dynamics.
Domestic bond yields.
Government debt servicing.
And the financing environment for businesses.
This means developments in major global bond markets can ultimately influence financing conditions much closer to home.
At Akinyele Oluwale & Co. Investment Ltd., we believe investors should stop treating the question:
as though it were the entire investment strategy.
It isn't.
The more important question is:
Consider three possible scenarios.
Scenario A
Central banks reduce rates.
Bond yields decline.
Credit spreads narrow.
Bank lending improves.
Capital flows toward productive investment.
This represents meaningful easing.
Scenario B
Central banks reduce rates.
But government borrowing remains enormous.
Long-term bond yields stay elevated.
Credit remains expensive.
Capital stays selective.
That represents only partial easing.
Scenario C
Inflation remains persistent.
Central banks maintain or increase rates.
Bond yields remain elevated.
Credit conditions tighten.
That represents continued restrictive conditions.
Investors therefore need to monitor the whole financial system, not one policy rate.
The next major market move may depend less on whether interest rates fall and more on whether the overall cost and availability of capital actually improve.
That distinction becomes increasingly important in an economy where governments, AI companies, energy projects and infrastructure developers are simultaneously competing for capital.
Eight indicators deserve attention.
Is inflation moving sustainably toward central-bank objectives?
Are policymakers signalling easing, tightening or prolonged restriction?
Do yields fall alongside policy rates—or remain elevated?
Are fiscal deficits and bond issuance continuing to increase?
Are investors demanding more or less compensation for corporate credit risk?
Are banks becoming more willing to provide credit?
Is money moving toward equities and emerging markets—or toward safer assets?
Are asset prices supported by improving fundamentals, or mainly by expectations of future monetary easing?
Together, these indicators provide a much better picture of liquidity than policy rates alone.
The global investment environment is being reshaped by the price and availability of capital.
Central-bank interest rates remain important.
But they are only one part of the liquidity equation.
Government debt and bond issuance can influence long-term borrowing costs.
Inflation can restrict the ability of central banks to ease policy.
AI, energy and infrastructure investment are creating additional demand for capital.
Elevated sovereign yields can influence corporate borrowing, asset valuations and emerging-market capital flows.
The central framework is:
Do not watch interest rates alone. Watch whether capital itself is becoming cheaper, more available and more willing to move.
Forty days into our intelligence experiment, four forces increasingly connect the themes we have been tracking:
Technology creates new investment opportunities.
Capital finances those opportunities.
Liquidity determines how easily and cheaply capital can move.
Productivity ultimately determines whether the investment creates sustainable economic value.
This is the connection between AI, tokenization, stablecoins, central banks, private capital and global markets.
Different technologies.
Different financial instruments.
But ultimately the same question:
Akinyele Oluwale & Co. Investment Ltd. is a global finance and digital-economy intelligence platform examining developments reshaping financial markets, institutional investment and emerging technologies.
Our intelligence coverage includes:
AI • Blockchain & Technology • Crypto & Digital Assets • Institutional Finance • Stablecoins & Payments • Tokenization & RWAs • Central Banks • Macro & Global Markets
We examine developments through three essential questions:
What changed?
Why does it matter?
What should investors watch next?
Our objective is to connect global financial developments with their implications for investors, businesses and economic decision-makers while promoting informed and disciplined investment thinking.
Akinyele Oluwale & Co. Investment Ltd.
Where Global Finance Meets Tomorrow's Technology.
Artificial intelligence has become one of the world's largest investment stories but behind the algorithms, chips and data centres lies another story:
Financing.
Building the infrastructure required for the AI economy requires enormous amounts of capital.
Data centres must be constructed.
Advanced semiconductors must be purchased.
Electricity generation and transmission must expand.
Cooling systems must be installed.
Telecommunications networks must be strengthened.
And increasingly, some companies are turning to debt markets, banks and private-credit investors to finance this expansion.
That financing model is now facing a significant test.
Markets have been shaken this week by concerns about higher interest rates and the sustainability of debt-funded AI infrastructure expansion. Technology and semiconductor stocks have come under pressure, while investors have scrutinised companies whose rapid expansion depends heavily on borrowed capital. Reuters
At the same time, the IMF's October outlook describes the technology boom largely driven by AI as a positive demand shock supporting investment and economic activity, but also contributing to price pressures. The IMF projects global growth of 3.1% in 2026 and 3.4% in 2027. The NewsMarket
The investment equation is therefore changing.
AI may determine where enormous amounts of capital want to go.
Interest rates will help determine what that capital is ultimately worth.
The AI investment boom is increasingly colliding with the realities of global capital markets.
AI infrastructure requires enormous investment in computing capacity, data centres, energy systems and telecommunications.
Initially, much of the market conversation concentrated on demand.
How many chips will be required?
How many data centres must be constructed?
How much electricity will AI consume?
The next question is increasingly financial:
This matters because interest rates influence the economics of investment.
When borrowing costs rise, companies must generate greater future cash flows to justify expensive capital projects.
Debt-heavy businesses become particularly sensitive.
The market is therefore moving from:
AI Growth at Almost Any Cost
toward:
AI Growth + Financing Discipline + Cash Flow + Sustainable Returns
This does not mean the AI investment cycle has ended.
It means investors are beginning to differentiate more aggressively between companies capable of financing growth sustainably and businesses whose expansion depends heavily on increasingly expensive capital.
To understand the issue, consider a simple example.
Imagine two companies each want to build a major AI data centre.
Company A finances much of the project from existing cash flows.
Company B relies heavily on borrowed money.
If interest rates rise, Company B faces a greater challenge.
Its interest expense increases.
Its required investment return rises.
Its future cash flows become more important.
And lenders may demand higher compensation for taking the additional risk.
This produces an important relationship:
A project that appeared financially attractive when financing was cheap may become less attractive when financing costs rise.
That principle extends beyond AI.
It applies across infrastructure, real estate, manufacturing and other capital-intensive sectors.
But AI is particularly important because the scale and speed of current infrastructure investment are exceptional.
The AI revolution is not simply a software story.
It requires physical infrastructure.
Reuters reported today that investment in chips, data centres, electricity grids and telecommunications is generating a major global demand for financing. Central bankers gathered in Bangkok are considering how this investment surge could affect interest rates and economic policy. Reuters
This gives us the first chain:
When enormous numbers of projects compete for capital, the cost and availability of financing become increasingly important.
The IMF's October World Economic Outlook describes AI-related investment as a positive demand shock.
That investment supports economic activity.
But stronger demand can also contribute to inflationary pressure.
The IMF projects global growth at 3.1% this year and 3.4% next year while describing global economic resilience as increasingly strained and uneven. The NewsMarket
This creates another transmission mechanism:
The relationship is not automatic.
Central banks consider many factors when setting monetary policy.
But sustained inflation can make aggressive interest-rate reductions more difficult.
One company has become an important case study.
CoreWeave provides computing infrastructure used for artificial-intelligence workloads.
Its rapid expansion has relied significantly on debt financing.
Reuters reports that the company has approximately $50 billion of debt, according to LSEG data, and that its bonds have experienced significant pressure as investors reassess the risks associated with debt-funded AI expansion. Reuters
In one particularly revealing example, Reuters reports that bonds issued in June at a yield of 9.675% were trading at levels implying yields around 15% this week. Reuters
That change matters.
It demonstrates how quickly markets can demand higher compensation when perceived credit risk increases.
CoreWeave should not be treated as a proxy for the entire AI industry.
But its experience provides a useful case study in the financial risks associated with rapid, debt-dependent expansion.
The market reaction extends beyond one company.
Reuters reports that higher borrowing costs are forcing some companies involved in AI infrastructure to reconsider fundraising plans or accept more expensive financing.
Investors increasingly want evidence that spending on computing power, land, electricity and data centres can generate sufficient returns. Reuters
This represents an important change in market psychology.
The question is moving from:
“How quickly can you expand?”
toward:
“Can that expansion generate returns above the cost of financing?”
That is a healthier question for long-term capital allocation.
The IMF has also warned about the possibility of market disruption if expectations surrounding AI investment weaken significantly.
Its latest Global Financial Stability analysis identifies potential corrections in AI-related investment and rising bond yields among important risks facing global financial markets. Reuters
This does not amount to a prediction that an AI crash is inevitable.
It means policymakers are monitoring the possibility that highly valued or highly leveraged investments could become vulnerable if expected productivity and earnings fail to materialise.
The AI financing story can be understood through six stages.
Businesses and consumers are adopting AI tools.
That creates demand for computing capacity.
Computing requires chips, data centres, electricity, cooling systems and network infrastructure.
Building this infrastructure requires enormous investment.
Capital can come from corporate cash flows, equity markets, banks, bonds or private credit.
Each source carries a different cost and risk.
The infrastructure must eventually generate sufficient economic value to justify the investment.
Markets ultimately compare expected future returns with the price investors are being asked to pay today.
The complete framework is:
This is where technology becomes finance.
AI-related companies may face greater differentiation.
Businesses with strong balance sheets and substantial cash generation may be better positioned to finance investment internally than highly leveraged companies.
But even strong companies must demonstrate adequate returns on large capital expenditures.
Credit markets may become an increasingly important indicator of AI investor sentiment.
Equity investors focus heavily on future growth.
Bond investors focus heavily on repayment capacity.
When bond yields rise sharply for a particular borrower, markets are effectively demanding greater compensation for perceived risk.
Private credit has become an important financing source for parts of the AI infrastructure build-out.
CoreWeave's difficulties are therefore also testing how private-credit markets have priced AI-related risk. Reuters
The lesson is straightforward:
High expected growth does not eliminate credit risk.
Data centres remain central to AI infrastructure.
But their economics depend on:
Utilisation.
Electricity costs.
Customer contracts.
Financing costs.
Technology changes.
And long-term demand.
Building capacity is only one part of the equation.
That capacity must ultimately produce sustainable revenue.
AI infrastructure requires substantial electricity.
That creates opportunities for power generation, transmission and energy infrastructure.
But energy costs can also affect data-centre profitability.
The AI investment story therefore increasingly intersects with energy markets.
Central banks must evaluate how large investment booms affect economic demand and inflation.
If AI investment contributes materially to demand while inflation remains elevated, monetary-policy decisions become more complicated.
This is why the AI story is now relevant to monetary policy—not just technology markets.
At Akinyele Oluwale & Co. Investment Ltd., we believe investors should avoid two extremes.
The first is:
That conclusion is dangerous.
A transformative technology can still produce unsuccessful companies and poorly financed projects.
The second extreme is:
That conclusion is equally weak.
Financial markets routinely reprice industries without eliminating the underlying technology.
The better framework separates four questions.
This measures technological demand.
This measures commercial viability.
This measures financial strength.
This measures investment discipline.
These are different questions.
A technology can be revolutionary while an individual investment in that technology remains unattractive.
That distinction is fundamental.
The internet transformed the global economy.
Yet many companies created during the internet boom failed.
Railways transformed commerce.
Yet not every railway investment produced attractive returns.
Technological importance and investment profitability are not identical.
The same principle applies to artificial intelligence.
That was our Day 32 principle.
Day 39 takes it one stage further:
AI may determine where capital wants to go. Interest rates will help determine what that capital is ultimately worth.
This is why bond markets deserve as much attention as technology headlines.
Investors should monitor eight indicators.
Are revenues growing fast enough to support investment spending?
How quickly are technology companies expanding AI infrastructure investment?
Which companies are funding expansion primarily through borrowing?
Are lenders demanding greater compensation for AI-related credit risk?
Higher yields can increase financing costs across capital-intensive sectors.
Persistent inflation could influence the path of monetary policy.
Interest-rate expectations remain critical to asset valuations and financing conditions.
Ultimately, the largest question remains:
Does AI generate enough productivity and economic value to justify the enormous capital being invested?
That question will take years—not days—to answer.
The AI boom is becoming one of the world's largest capital-financing stories.
AI infrastructure requires enormous spending on chips, data centres, electricity and networks.
Part of that expansion is being financed through debt.
Higher interest rates increase the required return on investment.
Debt-heavy AI companies may therefore face greater scrutiny.
Recent credit-market pressure illustrates how quickly financing conditions can change.
But a financing correction does not automatically mean the AI technology cycle is ending.
Instead, investors are increasingly demanding evidence of sustainable cash flow and returns.
The two essential frameworks are:
and:
The next phase of the AI investment cycle will not be judged by capital expenditure alone. It will increasingly be judged by whether that capital can earn returns above its rising cost.
Akinyele Oluwale & Co. Investment Ltd. is a global finance and digital-economy intelligence platform examining the forces reshaping financial markets, institutional investment and emerging technologies.
Our intelligence coverage includes:
AI • Blockchain & Technology • Crypto & Digital Assets • Institutional Finance • Stablecoins & Payments • Tokenization & RWAs • Central Banks • Macro & Global Markets
We analyse developments through three essential questions:
What changed?
Why does it matter?
What should investors watch next?
Our objective is to connect global financial developments with their implications for investors, businesses and economic decision-makers while promoting informed and disciplined investment thinking.
Akinyele Oluwale & Co. Investment Ltd.
Where Global Finance Meets Tomorrow's Technology.
Published: Thursday, 15 October 2026
Primary Category: Stablecoins & Payments
By: Akinyele Oluwale
The global financial system is entering a new phase of digital transformation. For years, stablecoins were primarily associated with cryptocurrency trading, digital-asset exchanges and blockchain transactions.
Today, the conversation is expanding. Banks are examining blockchain-based payment instruments. Payment networks are exploring stablecoin settlement. Financial technology companies are developing cross-border payment infrastructure.
Regulators are establishing frameworks for issuance, reserves and oversight and institutional investors are evaluating the financial infrastructure supporting digital money.
These developments suggest that stablecoins are increasingly being considered as potential components of mainstream payment systems but this transition raises an important question:
Will traditional banks dominate?
Will established payment networks retain their central position?
Will blockchain-native companies develop alternative settlement systems?
Or will the future involve interconnected networks combining traditional finance with digital assets?
The answer will depend on several factors.
Regulation.
Institutional trust.
Liquidity.
Interoperability.
Transaction costs.
Consumer protection.
And commercial adoption.
The emerging framework is:
The next stage of stablecoin development may be less about speculative trading and more about the infrastructure supporting real financial transactions.
Stablecoins are digital assets designed to maintain a relatively stable value against a reference asset, commonly a national currency such as the US dollar.
Unlike highly volatile cryptocurrencies, fiat-referenced stablecoins generally seek to maintain a fixed exchange relationship with their reference currency.
However, that stability is not guaranteed.
Their reliability depends on reserve quality, redemption arrangements, governance, market liquidity and regulatory oversight.
Recent developments demonstrate growing institutional interest.
First, traditional financial institutions are exploring stablecoin issuance and settlement.
Second, regulatory frameworks are becoming more detailed.
Third, stablecoins are increasingly being evaluated for cross-border payments.
Fourth, payment infrastructure is emerging as an important competitive advantage.
Fifth, developing economies such as Nigeria are becoming significant markets for digital-dollar transactions.
The important shift is:
This does not mean stablecoins will replace commercial banks or traditional payment networks.
It means competition and cooperation between existing financial institutions and blockchain-based infrastructure are becoming more important.
International payments remain a major challenge for businesses and households.
Traditional cross-border transactions can involve multiple intermediaries.
These may include:
Sending banks.
Correspondent banks.
Clearing institutions.
Foreign-exchange providers.
Receiving banks.
Each stage can introduce costs, delays or operational complexity. For businesses, these frictions can affect working capital and cash-flow management.
For households, they can increase the cost of receiving money from abroad.
Stablecoins offer a potential alternative settlement mechanism.
For example, a digital-dollar transfer can move across a blockchain network without requiring the same sequence of correspondent-bank transfers.
However, the complete payment still depends on other important processes.
The sender must obtain the stablecoin.
The recipient must be able to receive it.
The recipient may need to convert it into local currency.
Financial institutions must comply with applicable regulations.
And users must be protected against operational, fraud and issuer risks.
Therefore:
The total transaction cost matters.
So do reliability, liquidity, compliance and customer protection.
The opportunity is significant, but the economics must be assessed carefully.
Recent reports indicate that Qivalis, a European banking consortium, has obtained electronic-money institution authorisation from the Dutch central bank.
The consortium reportedly includes 37 banks across 15 countries and is preparing a euro-denominated digital payment token.
The initiative is intended to operate within the European Union's regulatory framework for crypto-assets.
However, regulatory authorisation should not be confused with the commercial launch of a stablecoin.
Additional requirements and implementation steps may still apply. bloomingbit
The development illustrates how established banking institutions are considering participation in blockchain-based payment infrastructure.
It also highlights an emerging question:
Will stablecoin markets remain dominated by dollar-denominated tokens, or will regulated alternatives in other currencies gain meaningful adoption?
The answer will depend on liquidity, user demand, distribution networks and interoperability.
On 13 October 2026, Tether announced an investment in EFY Finance.
The stated objective is to strengthen infrastructure connecting stablecoins with traditional financial systems across Latin America.
The announcement focuses on institutional use cases involving USDT and USA₮. Tether
Stablecoin competition increasingly involves more than token issuance.
Issuers and infrastructure providers are seeking stronger relationships with:
Financial institutions.
Payment companies.
Business customers.
Liquidity providers.
And regulated financial intermediaries.
The competitive advantage may therefore shift toward distribution, institutional integration and practical payment utility.
The United States has moved toward a more defined regulatory structure for payment stablecoins through the GENIUS Act.
On 29 September 2026, the Federal Reserve published proposed regulations concerning its responsibilities under the legislation.
The proposal addresses regulatory requirements for certain permitted payment-stablecoin issuers and related activities.
The public comment deadline is 30 November 2026. GovInfo
Regulatory clarity can influence institutional participation.
Banks and payment companies need to understand the rules governing issuance, reserves, supervision and customer protection.
However, proposed regulations are not the same as finalised rules.
Investors should distinguish between:
Legislation enacted.
Regulations proposed.
Regulations finalised.
Institutions authorised.
Products commercially launched.
These are separate stages of market development.
In June 2026, the IMF published an assessment of stablecoin use in Nigeria.
The institution reported that Nigeria received approximately $59 billion in total crypto-asset inflows between July 2023 and June 2024.
Importantly, this figure represents crypto-asset inflows generally, not exclusively stablecoin transactions.
The IMF also reported that Nigeria accounted for approximately 60% of stablecoin inflows into sub-Saharan Africa over the period examined.
It identified cross-border payments, remittances and business transactions among the relevant use cases. International Monetary Fund
Nigeria illustrates how demand for digital dollars can arise from practical financial needs.
These include cross-border transfers, access to foreign-currency payment channels and international commercial transactions.
However, the IMF also identified important risks.
These include financial integrity, consumer protection, currency substitution and potential implications for monetary policy.
The policy challenge is to support useful innovation while maintaining financial stability.
The stablecoin infrastructure race involves five interconnected developments.
US dollar-denominated stablecoins currently play an important role in digital-asset markets.
But other currencies may become increasingly represented through regulated digital payment instruments.
Euro-denominated stablecoin initiatives illustrate this possibility.
The long-term outcome will depend on liquidity, adoption and trust.
Banks have established customer relationships, regulatory experience and payment infrastructure.
Blockchain-native companies often possess expertise in digital-asset technology and settlement networks.
Payment companies connect merchants, consumers and financial institutions.
The future may involve competition in some activities and cooperation in others.
Regulation can influence the credibility of stablecoin arrangements.
Reserve requirements, redemption rights, governance and supervision are especially important.
However, regulation cannot guarantee that every stablecoin arrangement will operate without risk.
Stablecoins may offer advantages for certain international transactions.
But commercial adoption requires reliable conversion between digital assets and traditional currencies.
It also requires compliance with applicable financial regulations.
The long-term opportunity is not necessarily the replacement of traditional finance.
It may involve greater integration between bank accounts, payment networks and blockchain-based settlement systems.
The emerging structure could be:
The commercial challenge is making these systems work together securely and efficiently.
Stablecoins may create opportunities for banks to develop new payment and settlement services.
However, they could also increase competition in certain payment activities.
Banks will need to evaluate regulatory obligations, customer demand and commercial viability.
Established payment networks may integrate blockchain-based settlement into existing services.
Their competitive advantages include distribution, merchant relationships and established operational systems.
The key question is whether stablecoin infrastructure improves payment economics.
Competition may increasingly depend on reserve transparency, redemption reliability, liquidity and institutional distribution.
A stablecoin's market relevance cannot be judged solely by its supply.
Actual payment use and sustainable commercial demand also matter.
Networks supporting stablecoin transfers may benefit from increased settlement activity.
However, transaction volume does not automatically translate into proportional economic value for a blockchain's native token.
Network fees, competitive conditions and token economics must be evaluated separately.
Businesses could benefit from faster settlement and improved payment visibility.
However, foreign-exchange conversion, compliance costs and liquidity remain important.
Stablecoins may continue to attract attention where international payments are expensive or difficult.
Nevertheless, financial inclusion must be balanced with consumer protection, monetary stability and effective regulation.
The broader investment theme is the development of financial infrastructure.
Relevant areas include payment technology, compliance systems, digital custody, settlement services and financial software.
The critical analytical distinction is:
Commercial success depends on business models, costs, competition and sustainable demand.
At Akinyele Oluwale & Co. Investment Ltd., we believe the next phase of stablecoin development should be assessed through financial infrastructure rather than market excitement alone.
For years, digital-asset discussions frequently focused on token prices and trading activity.
But payment systems operate according to a different economic logic.
Their value depends on reliability.
Efficiency.
Liquidity.
Trust.
Security.
And adoption.
A payment instrument that attracts attention but cannot provide reliable settlement has limited commercial usefulness.
Similarly, a technically advanced payment network may struggle to gain adoption without appropriate regulatory compliance and access to financial institutions.
This is why institutional integration matters.
The emerging competition involves three important questions.
First: Who issues the digital money?
Second: Who controls the payment infrastructure?
Third: Who owns the customer relationship?
These functions may be performed by different organisations.
For example, a regulated issuer may create a stablecoin.
A blockchain network may process transfers.
A financial technology company may provide the customer interface.
A bank may facilitate currency conversion.
And a payment network may connect the transaction to merchants.
Understanding these relationships is essential for evaluating the economics of digital payments.
For Nigeria, the opportunity must be considered alongside the risks.
Stablecoins may address certain cross-border payment difficulties.
But sustainable financial development also requires strong domestic payment systems, credible regulation and effective consumer protection.
Our editorial principle is:
The next generation of digital payments will be defined not simply by the movement of tokens, but by the creation of trusted, efficient and interoperable financial infrastructure.
The most important question is no longer only whether stablecoins can move money.
It is whether they can do so reliably, affordably and at meaningful commercial scale.
Eight developments deserve particular attention.
Will bank-backed euro stablecoin projects complete their remaining requirements and launch commercially?
How will final rules under the GENIUS Act affect issuers and financial institutions?
Are banks and payment companies expanding stablecoin-based settlement services?
What proportion of stablecoin transactions reflects payments and commerce rather than trading-related transfers?
Are issuers providing reliable information about reserves and redemption arrangements?
Are stablecoin-based payment services reducing total end-to-end transaction costs?
How are African regulators balancing payment innovation with financial stability?
Can stablecoin infrastructure connect efficiently with existing banking and payment systems?
These indicators will help determine whether stablecoins develop into widely used financial infrastructure.
Stablecoins are increasingly being evaluated as payment and settlement infrastructure.
Traditional banks are exploring participation in digital-money markets.
Institutional stablecoin infrastructure is attracting investment.
Regulators are developing more detailed frameworks.
Cross-border payments represent an important potential use case.
Nigeria is already a significant market for stablecoin-related financial activity.
However, adoption does not eliminate reserve, operational, regulatory or consumer risks.
The emerging framework is:
Day 38 conclusion:
The stablecoin infrastructure race will ultimately be determined by trust, interoperability, regulatory credibility and real economic utility—not token popularity alone.
Akinyele Oluwale & Co. Investment Ltd. is a global finance and digital-economy intelligence platform focused on developments reshaping investment, financial markets and emerging technologies.
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What changed?
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