Five essential questions on stablecoins, tokenisation, bank strategy, margin reality and the most mispriced trend in digital finance — answered with the data, the regulatory timeline, and the investment thesis.
IN THIS DOCUMENT
| PART I Stablecoins, Sector Exposure & Regulatory Catalysts Q1 · Q2 | PART II Tokenisation, Margin Reality & the Mispriced Decade Q3 · Q4 · Q5 |
Introduction
The critical convergence of Artificial Intelligence (AI) and stablecoins is radically transforming the whole financial industry and pushing a radical disruption in fintech and moving it from a sector focused on user-interface improvements to one driven by automated, “infrastructure-led” financial systems. Stablecoins in particular are moving to mainstream and beyond speculative use, serving as the primary, high-speed settlement layer for the fast emerging “agentic economy,” while AI handles the complex, real-time decision-making.
Before diving into the FAQ around Fintech, AI and stablecoins is important to list the major Key Trends & Market Status (2026)
- Production-Grade Adoption: Stablecoin adoption has shifted from pilot projects to core production, with transaction volumes in 2025 having risen by 72%.
- The “Agentic” Economy: AI agents are beginning to manage transactions independently, needing “money that moves as fast as they do”. Stablecoins fill this need by providing 24/7, low-cost, programmatic money, reducing the dependency on slow, legacy banking rails.
- Enterprise Adoption: Fintechs and banks are prioritizing stablecoins for B2B payments, treasury management, and cross-border payroll, particularly in Africa, Latin America, and Southeast Asia to solve liquidity and cost challenges.
- Key Players: Major industry participants are investing in this space, with Circle and Stripe leading in the development of AI-based payment rails.
- Regulatory Clarity: The UK and US are advancing regulatory frameworks to bring stablecoins into the mainstream, with the US GENIUS Act providing a clear federal framework for payment stablecoins.
- AI Cost Management: To make AI-enabled businesses sustainable, fintechs are increasingly utilizing blockchain-based GPU marketplaces to reduce compute costs by up to 70%.
The Convergence of AI, and Stablecoins in the whole Fintech ecosystem
The synergy between these technologies creates a more real time data driven, intelligent and efficient financial system:
- Smart Contracts & AI: AI enhances smart contracts, allowing them to adjust terms in real-time based on live data (e.g., in insurance or automated trading).
- “Self-Driving” Money: AI agents are being used to manage liquidity, rebalance portfolios, and execute transactions 24/7, with stablecoins serving as the settlement medium.
- Improved Cross-Border Transactions: Stablecoins allow for nearly instant, 90% lower-cost cross-border payments, reducing the need for pre-funded accounts.
- Real-Time Compliance: AI enables continuous, real-time compliance monitoring, transforming fraud detection and KYC (Know Your Customer) processes.
The major Challenges and Future Outlook
- Operational Risk: The high speed of AI agents can lead to risks if not properly governed. For instance, a single testing scenario accidentally transferred a large sum, highlighting the need for robust “Know Your Agent” (KYA) protocols.
- Interoperability: As multiple stablecoins emerge, the industry is focusing on standardizing the “plumbing” to allow for seamless multi-chain, multi-issuer flows.
- Data Quality: The effectiveness of AI in finance depends on clean, trustworthy, and well-contextualized data.
The industry is changing to a new level of automation with AI agents pushing a new level of disruption and innovation never seen and moving toward a hybrid infrastructure where traditional rails work alongside stablecoin rails, with AI pushing and driving the “system of action” to move money as a value of data and ID to a new level.
| PART I · Q1 & Q2 Stablecoins, Sector Exposure & Regulatory Catalysts |
| Q1 | Stablecoins are moving closer to mainstream payments. Which sectors are most exposed if adoption keeps growing? |
Let us begin by correcting the premise. Stablecoins are not moving closer to the mainstream — they have already arrived. The data is unambiguous.
| $33 Trillion Stablecoin transaction volume in 2025, up 72% year on year TRM Labs / CoinLaw, 2026 | $317 Billion Aggregate stablecoin market cap — April 2026, +50% since Jan 2025 Federal Reserve FEDS Notes, April 2026 |
| $1.9 Trillion Citi GPS base-case stablecoin issuance forecast by 2030 ($4T bull case) Citi GPS: Web3 to Wall Street, 2025 | 291 Active stablecoins in circulation — many beyond any regulatory perimeter CoinLedger Research, 2025 |
The real challenge is not adoption velocity — it is fragmentation and the dangerous absence of coordinated institutional governance at the global level. What we are witnessing is a two-speed adoption dynamic. Major institutional players — Visa, Mastercard, JPMorgan, BlackRock, Circle — are building stablecoin infrastructure at production scale. Visa’s annualised stablecoin settlement run rate reached $4.5 billion in January 2026, a 460% increase year on year. Stablecoin-based B2B payments surged from under $100 million monthly in early 2023 to over $6 billion by mid-2025. Meanwhile, regulatory frameworks and cross-border settlement corridors remain profoundly uneven across jurisdictions.
| “ | Innovation, like water, must be allowed to flow. When the channels are blocked by fragmentation, competing jurisdictions, and absent governance, it does not disappear — it seeps through uncontrolled fissures, carrying risk to those least equipped to absorb it. — Dinis Guarda |
SECTOR EXPOSURE ANALYSIS
| SECTOR | PRIMARY DISRUPTION VECTOR | EXPOSURE |
| Remittance Firms | Stablecoins transfer cross-border value 500x faster at a fraction of cost. South Asia volumes +80% to $300B in H1 2025. Latin America: 71% of stablecoin activity already cross-border. | EXISTENTIAL |
| Payment Networks | Structural disintermediation of middle settlement layer. Incumbents pivoting to become stablecoin rails: Visa annualised settlement run rate $4.5B, up 460% YoY. | HIGH / ADAPTIVE |
| Traditional Banks | Margin compression on correspondent banking and FX. Cultural challenge of integrating programmable 24/7 digital money into batch-processing institutions. | HIGH |
| Fintech Platforms | Platforms built on regulatory arbitrage face narrowing advantage. Those with genuine tech infrastructure become rails on which banks operate. | MEDIUM / VARIABLE |
| Crypto Exchanges | Volume consolidation toward regulated operators. USDT and USDC control 84%+ of stablecoin market cap, concentrating liquidity at the top. | STRATEGIC |
Beneath all of this sits what I consider the most underweighted structural risk in digital finance today: the DeFi and non-regulated stablecoin operator ecosystem. There are 291 stablecoins currently in circulation. USDT and USDC dominate by capitalisation, but a significant portion of the market operates outside any meaningful regulatory framework. As I have argued consistently across Intelligenthq.com, Businessabc.net, and Tradersdna.com — and in my books on the fourth and fifth industrial revolutions — the promise of programmable money is extraordinary. But without coordinated global governance frameworks, we risk encoding financial fragmentation into the very architecture of the next monetary system.
| ANALYST NOTE The winner-takes-most dynamic is already visible in neobanks that have become major global players without corresponding global coordination mechanisms to prevent bad actors. Technology is not the constraint. The governance architecture is. And historically, when governance lags innovation by a decade, it is the most vulnerable users — in the least-regulated markets — who absorb the failure costs first. |
| Q2 | What is the biggest regulatory catalyst investors should watch in the next six to twelve months — and which part of the market reacts first? |
The single most consequential regulatory development to track right now is the passage and implementation of the US CLARITY Act, in combination with the bedding-in of the GENIUS Act. The GENIUS Act — signed into law in July 2025 — established the first federal regulatory framework for stablecoins: full-reserve backing requirements, mandatory monthly reserve disclosures, and explicit auditing standards. The CLARITY Act passed the US House 294–134 in July 2025 and is targeted for Senate Banking Committee markup imminently. Its passage would enshrine the commodity-versus-security classification framework into statute — and make it resistant to future administrative reversal.
| 294 – 134 US House vote passing the CLARITY Act, July 2025. Senate Banking Committee markup expected Q2 2026. US Congress / FinTech Weekly, 2026 | March 2026 Fed, OCC & FDIC issued joint guidance: technology-neutral capital treatment for tokenised securities Federal Reserve / FDIC Joint FAQ, March 2026 |
But this is not solely a US story. The WEF’s January 2026 digital assets outlook identifies regulatory certainty as the primary accelerant for the entire ecosystem — noting that Singapore, UAE, Hong Kong, and the EU have all moved decisively. The IMF’s Financial Counsellor Tobias Adrian captured it precisely in April 2026: tokenisation is not a marginal efficiency improvement. It is a fundamental reconfiguration of how trust, settlement, and risk management are organised across the global financial system. That is not the language of an emerging technology. That is the language of existing infrastructure being replaced.
The market segments that will react first and most forcefully to regulatory clarity are tokenised real-world assets and institutional custody services. The OCC has already issued charter guidance covering Circle, Ripple, BitGo, Paxos, Fidelity Digital Assets, and Coinbase — creating the federally regulated custody infrastructure that enables institutional capital to flow once legal classification uncertainty is resolved. Pension funds, sovereign wealth funds, and insurance companies have not been absent from digital asset markets because they lack conviction. They have been absent because their fiduciary frameworks require legal clarity on what they are holding and under which regulatory regime.
| “ | The bridge between stablecoins, tokenised assets, and traditional finance requires US, EU and Asian regulators working in genuine coordination. Without that, we will not get one financial system augmented by digital infrastructure. We will get three or four competing ones — with incompatible rules and incompatible default risk profiles. — Dinis Guarda |
| ANALYST NOTE The risk investors must price carefully is the gap between regulatory clarity in developed markets and continued fragmentation of cross-border corridors. Jurisdictional fragmentation becoming permanent is the deepest structural risk in digital finance. Not volatility. Not hacks. Fragmentation. |
| PART II · Q3, Q4 & Q5 Tokenisation, Margin Reality & the Mispriced Decade |
| Q3 | If banks become more active in crypto custody and tokenised payments, does that strengthen traditional institutions or pressure fintech and crypto-native platforms? |
Both dynamics are simultaneously true, and the tension between them is precisely where the most important capital allocation decisions of the next decade will be made. Bank entry into crypto custody and tokenised services does strengthen traditional financial institutions — but it does so by forcing them to become something fundamentally different. The correct frame is not that the bank absorbs crypto. It is that crypto re-engineers the bank.
The evidence is already operational, not theoretical. BlackRock’s BUIDL fund crossed $2 billion in tokenised AUM on Ethereum in 2025. JPMorgan’s Kinexys platform has processed over $1.5 trillion in tokenised repo transactions. Franklin Templeton’s on-chain money market fund surpassed $740 million AUM. These are not experiments — these are production-grade, institutionally compliant financial instruments operating fully within the existing regulatory perimeter. When I spoke with Emin Gün Sirer on the Avalanche architecture and its work with BlackRock and institutional DeFi, the core insight crystallised: the future is not banks versus blockchain. It is banks built on blockchain.
| $1.5 Trillion+ Tokenised repo transactions processed by JPMorgan Kinexys platform (live production) SettleMint / JPMorgan, 2025 | $2 Billion+ BlackRock BUIDL Fund — tokenised AUM on Ethereum (largest tokenised treasury fund) Cointelegraph / SettleMint, 2025 |
| $15 – 20B WEF estimate of annual operational savings from tokenisation across financial services World Economic Forum Asset Tokenization Report, May 2025 | $100 Billion+ Capital freed annually through more efficient tokenised collateral management World Economic Forum, May 2025 |
| “ | When financial instruments are tokenised on distributed ledgers, you create — for the first time — a complete, auditable, real-time data structure for the entire lifecycle of an asset: supply chain provenance, carbon footprint, ownership history, compliance records — all embedded in the token itself. This is not an incremental improvement to financial reporting. It is a new informational architecture for capital markets. — Dinis Guarda |
The pressure on crypto-native and fintech platforms requires nuanced distinction. Platforms whose value proposition was built on regulatory arbitrage face genuine narrowing as banks enter. But the crypto-native platforms that built genuine technological infrastructure are increasingly becoming the rails on which banks operate — not competitors they displace. The question every fintech investor must ask is: is this platform’s moat technological or regulatory? The former compounds. The latter erodes.
| ANALYST NOTE OCBC Bank became the first in Singapore to bring tokenisation into full production for corporate bond treasury management in January 2025, under MAS regulatory oversight. Tokenisation has moved from innovation labs into daily capital markets operations. The institutions that built the infrastructure for this transition are now the infrastructure of global finance. |
| Q4 | Where are investors most likely to overestimate the margin upside from financial technology — and what are the warning signs? |
The most dangerous form of overestimation in fintech right now is the assumption that AI-driven efficiency gains translate directly and quickly into margin expansion. They do not — at least not at the pace or scale that current valuations in some segments imply. The friction is not technological. It is infrastructural, regulatory, and deeply organisational.
Payments infrastructure carries hidden costs that are systematically underweighted in bottom-up models: cross-border compliance overhead, fraud prevention architecture, liquidity buffer requirements, and the ongoing cost of regulatory reporting in multi-jurisdiction environments. The WEF notes that alongside genuine efficiency gains, tokenisation introduces new layers of smart contract risk, custodian liability, and oracle dependency that must be priced into any realistic cost model.
WARNING SIGNALS: COSTS EATING INTO GAINS
| Signal 1: Margin guidance that revises downward despite revenue growth. This signals cost-of-compliance scaling faster than revenue per transaction — a structural problem, not a cyclical one. |
| Signal 2: Fintech platforms announcing regulatory partnerships or compliance hires at a pace outstripping growth in active users. Compliance infrastructure not built from the start cannot be retrofitted cheaply. |
| Signal 3: Stablecoin issuers whose reserve management and disclosure costs — driven by GENIUS Act requirements — compress economics modelled at a pre-regulatory scale. |
| Watch for: Fraud detection costs in AI-augmented financial services being underestimated. As AI agents handle more autonomous financial decisions, the attack surface for adversarial manipulation expands. This cost does not appear in early-stage financial models. |
The players that will build durable margins in the AI financial economy are those that construct the bridge between three things simultaneously: the trust and regulatory standing of traditional finance; the data infrastructure and programmability of blockchain; and the intelligence layer of AI-powered financial services. Those that optimise for only one dimension will find their advantage eroded from the other two directions. In my thesis developed across Ztudium’s platforms and books — the competitive moat in the AI financial economy is not the algorithm. It is the trusted, auditable, real-time data structure that the algorithm operates on.
| ANALYST NOTE McKinsey forecasts $4–5 trillion in digital securities issuance by 2030. The institutions that capture the margin in that market are not those with the best algorithms. They are those with the cleanest, most auditable, most interoperable data architectures. Data quality is the new balance sheet strength. |
| Q5 | Which digital finance trend are markets currently mispricing — and what evidence would prove that view right or wrong? |
The most significantly mispriced trend, in my view, is the tokenisation of real-world assets — not because it is undervalued in absolute terms, but because the market is pricing it as a long-cycle, decade-long transformation when the evidence strongly suggests the inflection is happening in the current 12-to-24-month window.
The IMF’s April 2026 note on tokenised finance — authored by Tobias Adrian, Director of the Monetary and Capital Markets Department — does not describe tokenisation as an emerging trend. It describes it as a fundamental reconfiguration of how trust, settlement, and risk management are organised across the global financial system. The FSB, IOSCO, OECD, and BIS have all published substantive frameworks on tokenisation within the past 18 months. When every major supranational financial body is building governance frameworks for a technology simultaneously, the technology is no longer emerging. It has arrived.
| $4 – 5 Trillion McKinsey forecast for digital securities issuance by 2030 McKinsey & Company / SettleMint, 2025 | 90%+ HNW investors expecting to allocate to tokenised bonds in coming years (EY) EY Global Wealth Survey, 2025 |
The evidence that would prove this view right is accumulating in the production data: OCBC Bank moved tokenised corporate bonds into full production in January 2025; the Federal Reserve, OCC, and FDIC confirmed technology-neutral capital treatment for tokenised securities in March 2026; the SEC-CFTC joint interpretation of March 2026 named sixteen crypto assets as digital commodities. These are structural permissions for institutional capital to move — not regulatory signals for the future.
DIGITAL FINANCE MISPRICING ANALYSIS
| TREND | CURRENT MARKET PRICING | VERDICT |
| Tokenisation of RWAs | Long-cycle 2030+ story in most institutional models | UNDERPRICED |
| Digital Identity | Supporting infrastructure — not primary investment theme | UNDERVALUED |
| Stablecoins | Well-covered but fragmentation tail risk ignored | FAIRLY PRICED |
| Embedded Finance | Widely discussed, competitive dynamics well understood | CORRECTLY PRICED |
| Bank-Led Crypto | Seen as defensive move, not offensive growth driver | UNDERESTIMATED |
Beyond the primary mispricing, digital identity is the most systematically undervalued trend in digital finance — and receives a fraction of the analytical attention it deserves. You cannot have compliant stablecoin payments without identity verification embedded in the transaction. You cannot have tokenised real estate without KYC-embedded ownership records in the token. Digital identity is not a feature of digital finance. It is the foundation upon which every other trend depends, yet it is priced as a compliance cost rather than a value-creating architectural layer. This mispricing will correct.
Finally, on AGI and the long arc: markets are systematically underestimating the speed at which agentic AI systems will begin to operate autonomously within financial infrastructure. The transition from AI-as-tool to AI-as-agent within trading, risk management, and capital allocation is not a 2030 story. It is being built now.
| SUMMARY Markets are systematically underestimating the speed at which agentic AI systems will operate autonomously within financial infrastructure. The firms that will define the financial economy of the next decade are those building the data infrastructure — tokenised, auditable, AI-readable — today. Each human being is humanity. In the financial context, this means a system where each individual, each transaction, each asset carries its full informational identity through the economic ecosystem — transparent, verifiable, and alive. That is not a vision. It is the architecture already being assembled, in production, right now. |
Glossary
Here is a short glossary covering those key terms:
- Fintech: Short term for “Financial Technology.” It refers to the creation and use of any software, mobile application, or digital tool designed to automate and improve traditional financial services for both businesses and consumers.
- Stablecoins: A type of digital asset, cryptocurrency designed to have a steady value by being “pegged”, associated to another asset, such as the US Dollar or Gold. They provide the speed of blockchain with the price stability of traditional money.
- AI (Artificial Intelligence): the pattern systems association of Computer mathematical, neurolinguistic with advanced algorithms, machine learning and large language models capable of performing intelligent tasks that typically require human intelligence, such as recognising patterns, solving complex problems, and making predictions based on data.
- AI Agents: Specialised autonomous AI programs that don’t just provide information but can take action(s) independently. In finance, these “agents” can be programmed to buy, sell, or move money on behalf of a user or organisation based on specific goals.
- Tokenisation: The process and system of converting ownership of rights of a real-world asset (like a house, a stock, commodity or a piece of art) into a digital “token”, asset on a blockchain smart contract. This makes it easier to digital track, create ID, trade or fractionally own expensive assets.
KEY SOURCES & REFERENCES
— Federal Reserve FEDS Notes: Stablecoins in 2025 — Developments and Financial Stability Implications (April 2026)
— IMF: Tokenized Finance — Tobias Adrian, Director of Monetary and Capital Markets (April 2026)
— World Economic Forum: Asset Tokenization in Financial Markets (May 2025)
— World Economic Forum: What to Expect for Digital Assets in 2026 (January 2026)
— Citi GPS: Web3 to Wall Street — Stablecoins 2030
— TRM Labs: 2025 Crypto Adoption and Stablecoin Usage Report
— McKinsey & Company: Digital Securities Issuance Forecast 2030
— SettleMint: Three Tokenization Forces Defining the Future of Financial Markets (2025)
— IOSCO: Tokenization of Financial Assets FR/17/25 (November 2025)
— BDO: Tokenization Trends for Real-World Assets in 2026
— CoinLaw: Stablecoin Statistics 2026 — Market Cap and Supply
— FinTech Weekly: Real-World Asset Tokenization Explainer — Institutional 2026
— Dinis Guarda: 4IR — Blockchain, Fintech, IoT Reinventing Business (Intelligenthq / Ztudium)
— Dinis Guarda: The 5th Industrial Revolution (Ztudium Group, 2025)
— Dinis Guarda interviews: Emin Gun Sirer (Founder, Avalanche) — Institutional DeFi & Blockchain Infrastructure
Dinis Guarda is an author, academic, influencer, serial entrepreneur and leader in 4IR, AI, Fintech, digital transformation and Blockchain. With over two decades of experience in international business, C level positions and digital transformation, Dinis has worked with new tech, cryptocurrencies, drive ICOs, regulation, compliance, legal international processes, and has created a bank, and been involved in the inception of some of the top 100 digital currencies.
Dinis has created various companies such as Ztudium tech platform a digital and blockchain startup that created the software Blockimpact (sold to Glance Technologies Inc) and founder and publisher of intelligenthq.com, hedgethink.com, fashionabc.org and tradersdna.com. Dinis is also the co-founder of techabc and citiesabc, a digital transformation platform to empower, guide and index cities through 4IR based technologies like blockchain, AI, IoT, etc.
He has been working with the likes of UN / UNITAR, UNESCO, European Space Agency, Davos WEF, Philips, Saxo Bank, Mastercard, Barclays and governments all over the world.
He has been a guest lecturer at Copenhagen Business School, Group INSEEC/Monaco University, where he coordinates executive Masters and MBAs.
As an author, Dinis Guarda published the book 4IR: AI, Blockchain, FinTech, IoT, Reinventing a Nation in 2019. His upcoming book, titled 4IR Magna Carta Cities ABC: A tech AI blockchain 4IR Smart Cities Data Research Charter of Liberties for our humanity is due to be published in 2020.
He is ranked as one of the most influential people in Blockchain in the world by Right Relevance as well as being listed in Cointelegraph’s Top People In Blockchain and Rise Global’s The Artificial Intelligence Power 100. He was also listed as one of the 100 B2B Thought Leaders and Influencers to Follow in 2020 by Thinkers360.
