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A Structural Analysis of Banks, Neobanks and DeFi Banks
Financial systems are undergoing a structural shift comparable to the early evolution of the internet.
The transition is not simply about “crypto replacing banks.”
It is about how financial infrastructure is organized and where trust resides within the system.
Over the last decade, three distinct banking architectures have emerged.
Traditional Banks
Neobanks
DeFi Banks
Each represents a different model for organizing custody, liquidity, credit creation, and settlement.
The result is a new financial topology where institutions, software platforms and open protocols coexist.
The Financial Infrastructure Stack
To understand the differences between these systems, it helps to decompose finance into its functional layers.
Every financial system must solve four problems.
Identity
Custody
Liquidity
Settlement
These layers form the core architecture of financial infrastructure.

Traditional Banks
Institutional Credit Infrastructure
Traditional banks remain the backbone of the global financial system.
They perform three essential economic functions.
Deposit custody
Credit creation
Payment settlement
Unlike most digital platforms, banks operate through state-backed regulatory frameworks and central bank settlement systems.
Hierarchical Liquidity Structure
Modern banking operates as a multi-tier liquidity network.
Central Banks
Reserve currency issuance
Interbank settlement

Commercial Banks
Deposit custody
Loan origination

Payment Institutions
Consumer and merchant services
Commercial banks hold reserve accounts at central banks.
When banks settle transactions between each other, the final settlement occurs through central bank reserves.
Credit Creation
Banks expand the money supply through lending.
When a bank issues a loan, it simultaneously creates a deposit on its balance sheet.
Loan Issued
New Deposit Created
Money Supply Expands
This balance-sheet expansion mechanism makes banks the primary credit engines of modern economies.
System Characteristics
Institutional custody
Centralized liquidity management
Regulatory oversight
Permissioned financial access
While this architecture provides stability and monetary policy control, it introduces structural friction.
Settlement can take hours or days.
Cross-border payments rely on intermediary banking networks.
Financial access remains uneven globally.
These limitations opened the door to fintech innovation.
Neobanks
The Software Layer of Traditional Finance
Neobanks represent the digitization of banking distribution rather than a reinvention of financial infrastructure.
They are software platforms that deliver financial services through modern digital interfaces while relying on existing banking rails.
Most neobanks operate through Banking-as-a-Service partnerships with licensed institutions.
In this model, the neobank functions as the operating system for financial services, while the underlying bank remains responsible for balance sheet operations.

Key Innovations
Real time financial visibility
Global card infrastructure
Improved fee transparency
API-driven financial services
Neobanks transformed the user experience of banking.
However the fundamental financial infrastructure remained largely unchanged.
Settlement still occurs through legacy payment rails.
Liquidity still resides within regulated banking institutions.
The deeper shift appears in decentralized finance.
DeFi Banks
Protocol Based Financial Markets
Decentralized finance introduces a fundamentally different architecture.
Instead of relying on institutional intermediaries, DeFi uses blockchain networks and smart contracts to coordinate financial activity.
Protocols replicate core banking functions.
Lending
Trading
Collateralized credit
Asset issuance
But they do so without centralized custodians.
DeFi Financial Stack
Users interact directly with protocols through cryptographic wallets.
Liquidity is supplied by participants who deposit capital into shared pools.
Interest rates and collateralization parameters are governed algorithmically.
Credit Markets in DeFi
Traditional banking
Depositors → Bank Balance Sheet → Borrowers
DeFi lending
Liquidity Providers → Smart Contract → Borrowers
Protocols such as $AAVE , $SKY and Compound operate as automated credit markets, where capital allocation occurs through transparent onchain rules.
Structural Properties

Permissionless access
Global liquidity pools
Transparent accounting
Continuous settlement
DeFi therefore transforms finance from an institutional system into a programmable infrastructure layer.
However the model also introduces new constraints.
Collateral efficiency remains limited.
Smart contract vulnerabilities require rigorous security frameworks.
Regulatory frameworks are still evolving.
Despite these challenges, DeFi represents the first time financial infrastructure has been built as open source software.
Comparative Architecture
Each architecture optimizes for different priorities.
Banks prioritize stability and regulatory compliance.
Neobanks prioritize usability and accessibility.
DeFi prioritizes openness and programmability.

Toward a Hybrid Financial System
The next generation of financial infrastructure will likely combine elements of all three systems.
Traditional institutions are experimenting with tokenized assets.
Payment companies are integrating stablecoin settlement.
DeFi protocols are developing compliance frameworks for institutional participation.

Emerging architectures include
Tokenized treasury markets
Onchain money markets
Stablecoin payment networks
Institutional #defi liquidity pools
Rather than replacing existing systems, blockchain infrastructure is increasingly acting as an alternative settlement layer within global finance.

The Core Transformation
The most important shift is not technological but structural.
Financial systems historically relied on trusted intermediaries to coordinate economic activity.
Decentralized finance proposes a different model where financial coordination occurs through programmable protocols.
Banks institutionalized trust.
Neobanks digitized access to financial services.
DeFi attempts to embed trust directly into infrastructure.
This transition marks the beginning of a new phase in financial architecture where institutions, software platforms, and decentralized protocols operate within the same economic network.
Nanopayments and the Next Economic Layer of the Internet
Nanopayments might sound like a niche feature, but they’re actually one of the clearest signs that the payment system is changing.
In the traditional world, paying “tiny” amounts just doesn’t work. Cards and banks have minimum fees, batch settlement, intermediaries, and fixed costs baked in. So anything like paying a few cents or fractions of a cent, becomes pointless. That’s why the internet ended up leaning so hard on subscriptions and ads instead of true pay per use.

Onchain rails change the shape of that problem. When settlement is faster, cheaper and programmable, you can start to pay at the level of actions instead of invoices. A fraction of a cent to read an article section, value streamed per second for a service, automatic micro rewards to creators, or even machine-to-machine payments where agents pay other agents for data, compute, or execution.

The big idea is simple. When money can move in extremely small amounts without friction, the internet gets a new business model. Less “paywalls and ads,” more “fair pricing per usage,” more direct creator revenue, and eventually a world where digital services charge and get paid in real time.

Nanopayments are not just about smaller payments. They’re about a more native way for value to move online.

La robotique dans la crypto est généralement discutée comme un cycle de tendance. Cette perspective manque la véritable contrainte.
Les systèmes autonomes n'ont pas besoin de meilleures narrations. Ils ont besoin de coordination qui survit à des environnements adverses.
@Fabric Foundation les propres documents de Fabric comme un réseau ouvert pour construire, gouverner, posséder et faire évoluer des robots à usage général, coordonnés via des livres de comptes publics où la participation peut être vérifiée. Dans ce modèle, $ROBO n'est pas positionné comme une revendication sur les profits des robots. Fabric définit $ROBO comme l'actif central d'utilité et de gouvernance, déclare que les frais de transaction du réseau à travers les paiements, l'identité et la vérification sont payés en #ROBO et dit que le réseau est initialement déployé sur Base. Fabric rend également la limite extrêmement explicite. La participation est un accès à la fonctionnalité du protocole et à l'initialisation, et ne représente pas la propriété du matériel robotique, des intérêts fractionnés, des droits de revenus ou des revendications économiques.

Si vous éliminez le récit de la robotique, Fabric fait un choix de conception très spécifique : séparer la coordination du droit.

décrit Fabric comme un réseau ouvert pour construire, gouverner, posséder et faire évoluer des robots à usage général, avec une participation vérifiée via des registres publics. Dans ce cadre,

est défini comme l'actif utilitaire et de gouvernance central. Les frais de transaction du réseau Fabric pour les paiements, l'identité et la vérification sont payés en $ROBO, et le protocole est initialement déployé sur Base. L'activation nécessite des unités de participation libellées en

La partie intéressante de la Fabric Foundation n'est pas la narration sur la robotique. C'est l'architecture de coordination.
@Fabric Foundation décrit Fabric comme un réseau ouvert pour construire, gouverner, posséder et faire évoluer des robots à usage général. Le système repose sur des registres publics pour vérifier les contributions et la participation, créant un environnement structuré pour l'activation et la gouvernance.
Dans ce cadre, $ROBO est défini comme l'actif utilitaire et de gouvernance central. Fabric indique que les frais de transaction du réseau pour les paiements, l'identité et la vérification sont payés en $ROBO. Le protocole est initialement déployé sur Base, avec une activation nécessitant des unités de participation libellées en #ROBO

Fabric Foundation ne présente pas les robots comme des produits. Elle les présente comme des participants dans un réseau de coordination vérifiable sur la chaîne.
@Fabric Foundation define Fabric comme un réseau mondial ouvert pour construire, gouverner, posséder et faire évoluer des robots à usage général. La couche de coordination fonctionne à travers des registres publics, permettant une contribution et une activation transparentes. Dans cette structure, $ROBO sert d'utilité principale et d'actif de gouvernance du réseau.
Fabric déclare que les frais de transaction du réseau pour les paiements, l'identité et la vérification sont payés en ROBO. Le protocole est initialement déployé sur des unités de participation de base nécessaires à l'activation des robots, mais Fabric précise clairement que la participation ne représente pas la propriété du matériel des robots, des intérêts fractionnés, des droits de revenus ou des revendications économiques.

@Fabric Foundation décrit Fabric comme un réseau mondial ouvert pour construire, gouverner, posséder et faire évoluer des robots à usage général. Le mot important ici est « réseau ». Les robots ne sont pas positionnés comme des produits isolés mais comme des entités coordonnées à travers des registres publics où la contribution et la participation peuvent être vérifiées.
Dans cette structure, $ROBO est défini comme l'actif utilitaire et de gouvernance central du réseau. Fabric déclare que les frais de transaction du réseau pour les paiements, l'identité et la vérification sont payés en ROBO. Le protocole est initialement déployé sur Base, avec l'intention déclarée d'évoluer à mesure que l'adoption croît.

Et c'est là le point.
L'avenir de l'argent n'est pas arrivé par un effondrement dramatique de l'ancien monde.
Il est arrivé comme une mise à niveau silencieuse des systèmes de paiement que nous utilisons déjà chaque jour.
Pendant des années, travailler avec des clients internationaux ressemblait à une taxe sur le talent.
Vous livrez un projet pour Londres tout en étant assis à Athènes, puis vous regardez les frais, les spreads et les retards de traitement grignoter une partie de ce que vous avez gagné.
Les stablecoins ont changé la donne.
Quand vous êtes payé, la valeur reste la valeur.
Pas de jeu d'attente de trois jours.
Pas de coupe surprise de la part des FX.

For most of the past cycle, Layer 1 competition revolved around performance metrics.
More throughput.
Lower latency.
Cheaper execution.
But performance alone does not create durable ecosystems. It creates benchmarks.
The deeper constraint in Web3 has always been coordination. Coordination between users and wallets. Between developers and infrastructure. Between applications and liquidity.
Recent developments in the Sui ecosystem suggest that the network is moving beyond performance optimization and toward solving coordination at the infrastructure layer.
To understand why this matters, we begin with architecture.
The Object-Centric Model as Structural Parallelization
Sui’s core design differs from traditional account-based systems. Instead of representing state primarily through balances attached to accounts, Sui models assets as independent owned objects. Each object has explicit ownership and clearly defined dependencies.
This architectural choice allows transactions that interact with different objects to execute in parallel. Concurrency is not simply a validator optimization. It is embedded in how state is structured.
The implications are meaningful.
Parallel execution reduces contention at the state layer. It enables predictable latency under load when transactions are independent. It also allows developers to design applications where ownership logic is attached directly to programmable objects rather than abstracted behind account balances.
However, architecture becomes valuable only when it compounds with usability.
That brings us to the wallet layer.
The Wallet Bottleneck in Web3
One of the most persistent barriers to mainstream adoption has been key management.
Seed phrases introduce cognitive friction.
Gas abstraction remains confusing for new users.
Embedded wallet solutions have often required backend custody or centralized key coordination.
The emergence of WaaP within the $SUI ecosystem represents an attempt to address this friction differently.
WaaP introduces decentralized embedded wallet infrastructure that uses threshold cryptography coordinated through the Ika network. Instead of relying on a single backend to manage signing authority, key material is distributed and transactions require coordinated cryptographic approval.
Users can authenticate through familiar methods such as email or passkeys while retaining cryptographic ownership enforced by protocol logic.
This does not eliminate all coordination assumptions. Threshold systems still depend on distributed node integrity. But it attempts to reduce the historical tradeoff between usability and self custody.
That distinction is important.
Why This Matters Beyond Convenience
The significance of decentralized embedded wallets is not cosmetic. It changes the design surface of applications.
When wallet infrastructure is protocol native and programmable, developers can define scoped permissions, session keys, delegated execution, and automated workflows without introducing centralized custodial dependencies.
Combined with Sui’s object model, this enables fine grained ownership semantics.
A gaming application can assign temporary authority to specific in game assets.
A DeFi protocol can define object level constraints rather than balance level abstractions.
An AI agent can interact with programmable accounts within clearly defined permission boundaries.
These capabilities are not theoretical extensions. They are coherent with the underlying data model.
This alignment between execution architecture and wallet design suggests a broader strategic direction.

Toward a Consumer Coordination Layer
Sui’s recent announcements, including developments around decentralized wallet infrastructure, DeepBook liquidity primitives and authentication tools such as zkLogin, indicate an ecosystem attempting to reduce friction across multiple layers simultaneously.
Execution bottlenecks are addressed through parallel object processing.
Access bottlenecks are addressed through decentralized embedded wallets.
Liquidity bottlenecks are addressed through native orderbook infrastructure.
Identity bottlenecks are addressed through integrated authentication primitives.
When these components are aligned, the network begins to resemble more than a settlement layer. It starts to resemble a coordination layer for consumer grade applications.
That does not guarantee dominance. But it defines a strategic focus.
The Stress Test Ahead
A serious analysis must also consider what remains unproven.
Parallel execution models must demonstrate efficiency under heavy composability. As applications layer on top of one another, object dependency graphs can grow complex. The network must maintain concurrency benefits without introducing hidden serialization points.
Threshold signing infrastructure must scale while preserving decentralization properties. Cryptographic distribution is necessary but not sufficient. Real world node diversity and operational resilience are equally important.
These are not weaknesses. They are the natural stress tests of maturation.
The first phase of a blockchain proves performance.
The second phase proves resilience under economic load.
Sui appears to be entering that second phase.
The Compounding Effect
If decentralized embedded wallets reduce onboarding friction without compromising cryptographic ownership, the impact could extend beyond convenience.
Easier onboarding can increase user participation.
Higher participation can increase onchain activity.
Increased activity can deepen liquidity.
Deeper liquidity can attract more builders.
More builders can increase application diversity.
That compounding loop is how infrastructure transitions into economic gravity.
Not through speculative attention cycles.
Through reduced friction across execution, access, liquidit and identity.
Conclusion
Sui’s recent ecosystem developments suggest an evolution in focus.
It is not simply optimizing transaction throughput. It is attempting to align execution architecture with ownership semantics and user access in a coherent way.
The object centric model provides structural parallelization.
Decentralized embedded wallets attempt to reduce usability tradeoffs.
Native liquidity and authentication tools aim to minimize coordination friction.
Whether this model sustains under real world load will determine its long term impact.
But the direction is clear.
The competition among Layer 1 networks is shifting from speed alone to sovereignty aligned usability.
Sui is positioning itself within that shift.
If it succeeds, its advantage will not be measured only in transactions per second.
It will be measured in how seamlessly users interact with decentralized systems without needing to understand the infrastructure beneath them.