Visa Effect

marsbit2026-01-15 tarihinde yayınlandı2026-01-15 tarihinde güncellendi

Özet

Visa Effect: A Blueprint for Stablecoin Network Growth The article draws parallels between the fragmented early days of the credit card industry and the current state of stablecoins. In the 1960s, numerous banks operated isolated payment networks, creating settlement chaos. Visa succeeded not just through technology, but by creating a cooperative, independent structure that aligned incentives. It acted as a neutral third party, allowing member banks to share profits proportionally, have governance rights, and initially adhere to exclusivity clauses. This fostered powerful network effects. Today, stablecoins face similar fragmentation, with over 300 stablecoins listed on Defillama. Services that enable protocols to issue their own branded stablecoins (e.g., Ethena, Anchorage Digital) are compared to the failed BankAmericard model, which only fractures liquidity and prevents any single stablecoin from achieving mainstream network effects. The proposed solution is a Visa-like model for stablecoins: an independent, third-party cooperative. Issuers and applications supporting a specific asset class would join, share in reserve yields, and have governance rights over the stablecoin's development. This structure would consolidate liquidity, create internal compounding network effects, and drive widespread adoption.

Author: Nishil Jain

Compiled by: Block unicorn

Preface

In the 1960s, the credit card industry was in chaos. Banks across the United States were trying to establish their own payment networks, but each network operated independently. If you held a Bank of America credit card, you could only use it at merchants that had a cooperation agreement with Bank of America. When banks tried to expand their business to other banks, all credit card payments encountered the problem of interbank settlement.

If a merchant accepted a card issued by another bank, the transaction had to be settled through its original check settlement system. The more banks that joined, the more settlement problems arose.

Then Visa emerged. Although the technology it introduced undoubtedly played a huge role in the credit card payment revolution, the more important success lay in its global universality and its success in getting global banks to join its network. Today, almost every bank in the world has become a member of the Visa network.

While this seems very normal today, imagine trying to convince the first thousand banks, both inside and outside the United States, that joining a cooperation agreement instead of building their own network was a wise move. Then you begin to realize the scale of this endeavor.

By 1980, Visa had become the dominant payment network, processing about 60% of credit card transactions in the United States. Currently, Visa operates in over 200 countries.

The key was not more advanced technology or more funding, but the structure: a model that could coordinate incentives, decentralize ownership, and create compound network effects.

Today, stablecoins face the same fragmentation problem. And the solution may be the same as what Visa did fifty years ago.

Experiments Before Visa

Other companies that appeared before Visa failed to develop.

American Express (AMEX) tried to expand its credit card business as an independent bank, but its scale expansion was limited to continuously adding new merchants to its banking network. On the other hand, BankAmericard was different; Bank of America owned its credit card network, and other banks only utilized its network effects and brand value.

American Express had to approach each merchant and user individually to open their bank accounts, while Visa achieved scale by accepting banks itself. Each bank that joined the Visa cooperative network automatically gained thousands of new customers and hundreds of new merchants.

On the other hand, BankAmericard had infrastructure issues. They did not know how to efficiently settle credit card transactions from one consumer bank account to another merchant bank account. There was no efficient settlement system between them.

The more banks that joined, the worse this problem became. Thus, Visa was born.

The Four Pillars of Visa's Network Effects

From the story of Visa, we learn about 2-3 important factors that led to the accumulation of its network effects:

Visa benefited from its status as an independent third party. To ensure that no bank felt threatened by competition, Visa was designed as a cooperative independent organization. Visa did not participate in competing for the distribution pie; the banks competed for it.

This incentivized participating banks to compete for a larger share of the profits. Each bank was entitled to a portion of the total profits, proportional to the total transaction volume it processed.

Banks had a say in the network's functions. Visa's rules and changes had to be voted on by all relevant banks and required 80% approval to pass.

Visa had exclusivity clauses with each bank (at least initially); anyone joining the cooperative could only use Visa cards and the network and could not join other networks—thus, to interact with Visa banks, you also needed to be part of its network.

When Visa's founder, Dee Hock, traveled across the United States to persuade banks to join the Visa network, he had to explain to each bank that joining the Visa network was more beneficial than building their own credit card network.

He had to explain that joining Visa meant more users and more merchants would be connected to the same network, which would promote more digital transactions globally and bring more benefits to all participants. He also had to explain that if they built their own credit card network, their user base would be very limited.

Implications for Stablecoins

In a sense, Anchorage Digital and other companies now offering stablecoin-as-a-service are replaying the BankAmericard story in the stablecoin space. They provide the underlying infrastructure for new issuers to build stablecoins, but liquidity continues to fragment into new tokens.

Currently, over 300 stablecoins are listed on Defillama. Moreover, each newly created stablecoin is limited to its own ecosystem. As a result, no single stablecoin can generate the network effects needed to go mainstream.

Since the same underlying assets support these new coins, why do we need more coins with new code?

In our Visa story, these are like BankAmericards. Ethena, Anchorage Digital, M0, or Bridge—each allows a protocol to issue its own stablecoin, but this only exacerbates industry fragmentation.

Ethena is another similar protocol that allows yield transmission and white-label customization of its stablecoin. Just like MegaETH issuing USDm—they issued USDm through tools that support USDtb.

However, this model failed. It only fragments the ecosystem.

In the credit card case, the brand differences between banks did not matter because it did not create any friction in user-to-merchant payments. The underlying issuance and payment layer was always Visa.

However, for stablecoins, this is not the case. Different token codes mean an infinite number of liquidity pools.

Merchants (or in this case, applications or protocols) will not add all stablecoins issued by M0 or Bridge to their list of accepted stablecoins. They will decide based on the liquidity of these stablecoins in the open market; the coins with the most holders and the highest liquidity should be accepted, while the rest will not.

The Way Forward: The Visa Model for Stablecoins

We need independent third-party institutions to manage stablecoins of different asset classes. Issuers and applications supporting these assets should be able to join cooperatives and access reserve earnings. At the same time, they should also have governance rights and be able to vote on the direction of their chosen stablecoin.

From a network effects perspective, this would be a superior model. As more issuers and protocols join the same token, it will facilitate the widespread adoption of a token that retains earnings internally rather than flowing into others' pockets.

İlgili Sorular

QWhat was the main challenge faced by the credit card industry in the 1960s, and how did Visa address it?

AThe main challenge was fragmentation, with each bank operating its own isolated payment network. Visa addressed this by creating a cooperative network that allowed banks to join and share infrastructure, enabling universal acceptance and efficient interbank settlement.

QHow did Visa's structure differ from competitors like American Express and BankAmericard, and why was it more successful?

AVisa operated as an independent, cooperative organization where banks shared ownership and governance, avoiding competition among members. In contrast, American Express acted as a single bank expanding alone, and BankAmericard had infrastructure issues with interbank settlement. Visa's model incentivized participation and scaled network effects more effectively.

QWhat are the key pillars of Visa's network effects as described in the article?

AThe key pillars are: 1) Visa's independent third-party status to avoid competition among banks, 2) Profit sharing proportional to transaction volume, 3) Governance through voting by member banks requiring 80% approval, and 4) Initial exclusivity clauses preventing members from joining other networks.

QHow does the current stablecoin landscape resemble the pre-Visa credit card era, and what problem does this create?

AThe stablecoin landscape is fragmented, with over 300 stablecoins on Defillama, each limited to its own ecosystem. This prevents network effects, causes liquidity fragmentation, and hinders mainstream adoption, similar to how isolated bank networks struggled before Visa.

QWhat solution does the article propose for stablecoins, inspired by Visa's model?

AThe article proposes an independent third-party cooperative for stablecoins, where issuers and applications join to share reserve yields and governance rights. This would unify liquidity, enhance network effects, and keep benefits within the ecosystem rather than fragmenting them.

İlgili Okumalar

CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

marsbit5 dk önce

CPU, Quietly Returning to the Center of the AI Computing Power Stage

marsbit5 dk önce

After Collaborating with 35+ DeFi Projects, Pink Brains Discovers the New 2026 KOL Marketing Rules

After collaborating with over 35 leading DeFi projects on marketing over three years, Pink Brains identifies a key shift for effective marketing in 2026: prioritizing the user journey over traditional campaign tactics. The most effective marketing mirrors how users actually behave—starting with discovery on social platforms like X (formerly Twitter), followed by data-driven verification on sites like DefiLlama, and finally, participation with small test funds. Success hinges on genuine, verifiable mechanisms, not just marketing hype. Current user interest centers on several key themes: new DeFi trends (RWA, perps, crypto x AI), meaningful airdrops requiring real contributions, real yield from protocol revenue, and tokens with value capture mechanisms directly tied to product usage. Case studies like Hyperliquid's HYPE (with its aggressive buyback program) and Venice's VVV (linking demand to AI compute) exemplify how strong tokenomics foster user retention. New trading venues like prediction markets, collectibles platforms, and GambleFi are also gaining traction, driven by verifiable activity. The article outlines common mistakes in DeFi KOL marketing, such as using creators unfamiliar with the product, generic messaging, or relying on a few top-tier KOLs. Instead, effective strategies align with different KOL types—educators, content creators, airdrop hunters, and niche experts—for various stages of the user journey. Ultimately, long-term user retention depends on a combination of a genuinely useful product, responsive support, community-aligned tokenomics, and strategic community building. The core takeaway is that sustainable growth stems from products whose value is validated by data and real-world utility, not just promotional efforts.

marsbit24 dk önce

After Collaborating with 35+ DeFi Projects, Pink Brains Discovers the New 2026 KOL Marketing Rules

marsbit24 dk önce

İşlemler

Spot
Futures
活动图片