The Next Generation of Payments Is Not in the Payment Layer

链捕手2026-05-10 tarihinde yayınlandı2026-05-10 tarihinde güncellendi

Özet

The next generation of payments won't be designed within the payment layer itself. This article argues that historical payment innovations (e.g., online banking, mobile wallets) emerged from new transactional scenarios, not from optimizing existing payment systems. The new scenario is the Agent economy. Know Your Agent (KYA) is not merely a payment-layer upgrade for efficiency. It is the foundational infrastructure layer for the Agent economy. KYA’s five layers—Agent identity, authorization scope, intent signature, accountability chain audit, and credit rating—primarily serve broader needs like cross-platform identification, AI alignment, and permission management. Payment is just one application built on top of this KYA foundation. Stripe’s strategy exemplifies this shift. Its focus on "economic infrastructure for AI," investments in protocols like the Agentic Commerce Protocol (identity/session layer), stablecoin infrastructure, embedded wallets, and moving risk management (Radar) to the user lifecycle all indicate it is building the KYA layer, not just optimizing payments. While ultimate legal liability remains with a human (as laws like AB 316 stipulate), KYA enables traceability in a distributed,网状 responsibility chain involving multiple entities (user, Agent platform, model provider, etc.). It makes accountability verifiable where previously it was opaque. The conclusion: A new class of economic actors (Agents) forces a new infrastructure layer (KYA) to emerge. This...

Author: IreneDu

This is part 2.5 of the Stripe AI Strategy Deep Dive series.

The series originated from observing the 288 products announced at Stripe Sessions 2026 on April 30. I observed that Stripe is attempting to become the economic infrastructure for the AI Agent era.

The first piece, Stripe Is Not a Payments Company, attempted to answer "Why Stripe"—its DNA determines it can do this.

The second piece, KYC Is Dead, the Agent Economy Is Rewriting the Underpinnings of Financial Regulation, wanted to dissect the future Stripe is betting on—what exactly the Agent economy looks like, and why traditional payments infrastructure will completely fail in front of it.

But while writing the second piece, I received a comment from a peer:

I completely agree with the first part. AB 316, or any sovereign nation's laws, will not acknowledge in the short term that an "Agent is a legal entity"—the ultimate defendant will always be a specific person. This is something Know Your Agent cannot change, and it shouldn't try.

But for the latter part—"The only change is payment and settlement efficiency"—I have reservations. The issue with this statement is not the conclusion, but the default framework it assumes: it sees KYA as an upgrade to the existing payments system.

This is precisely what I believe is worth writing an extra piece to discuss.

First, let's return to the muscle memory of a former payments practitioner:

Payment forms are scenario-driven; they are not designed from within the payments system.

Every true leap in payments—online banking, mobile wallets, QR code scanning—was not because someone built a better product within the payment layer, but because a new transaction scenario emerged that shattered the underlying assumptions of the previous payment system.

New payment forms "grow" from the infrastructure required by that scenario; they are not "optimized" into existence.

I once worked on payments innovation at Ant. On a platform that was the absolute industry pioneer in creating "Quick Pay," "Mobile Pay," and "QR Code Pay," the greatest pleasure and pain was pondering: What is the next generation of payments?

We worked on watch payments (and heartbeat verification to replace facial scanning), NFC payments (the primitive technology behind "tap-to-pay"), participated in and authored several "next-generation" payment protocols, and even tried to get leadership to support my exploration of metaverse payments.

Most of these projects didn't take off.

Looking back, the reason was the same: we tried to define new payments within the payment layer, but the scenario driving the payments revolution hadn't arrived yet—without the scenario, the infrastructure the scenario needs cannot grow, and no amount of clever design in the payment layer can catch it.

The Agent economy is that new scenario I was desperately waiting for in the past.

KYA is the layer of infrastructure that is now growing.

KYA is not a product in the payment layer; it is the infrastructure layer for the Agent economy.

The five layers of KYA I defined in the previous article—Agent Identity, Authorization Scope, Intent Signing, Liability Chain Auditing, and Credit Rating—only Authorization Scope and Liability Chain Auditing fall on the payment chain. The other three layers (Identity, Intent, Credit) are not in payments at all.

  • The Identity layer serves all scenarios requiring Agent identification: cross-platform calls, regulatory filings, internal corporate audits—payments is just one of them.
  • The Intent layer serves the larger issue of AI alignment—payments is just one of its many verification scenarios.
  • The Credit layer serves any system needing to assign permissions and quotas to Agents—payments is again just one of its users.

Therefore, that peer's judgment—"The only change is payment and settlement efficiency"—translated into the language of infrastructure means: viewing KYA as a subsystem of payments.

My judgment is the opposite: payments are a subsystem of KYA.

This reversal is the core of this piece.

The investment actions of Stripe, this company at the industry frontline, happen to be the empirical evidence.

The term Patrick Collison used at Sessions 2026 wasn't "AI payments," it was "economic infrastructure for AI." This isn't marketing speak; it's a positioning choice. It shows Stripe doesn't intend to lock itself into the identity of a "payments company"; it's betting on building the foundation for the Agent economy.

Specifically in product layout:

The Agentic Commerce Protocol (ACP) co-built by Stripe and OpenAI, now used by Microsoft Copilot, Meta, and Google Gemini which joined in April—is essentially an identity and session protocol, not a payment protocol.

Shared Payment Token, which separates the Agent from the real card number, operates at the authorization layer, not the settlement layer.

Stripe acquiring Bridge for stablecoin infrastructure, acquiring Privy for embedded wallet capabilities, and building its own Tempo blockchain for settlement pipelines—this entire layout doesn't fit within the framework of "payment efficiency optimization."

This kind of investment portfolio only makes sense under the judgment that "KYA is the infrastructure layer." If the Agent economy were merely a payment efficiency problem, Stripe wouldn't need to do stablecoins, embedded wallets, or build its own L1. What it's doing is securing positions layer by layer within that five-layer KYA.

Several numbers given by Stripe's Data Lead, Emily Glassberg Sands, in an Every interview in April this year, confirm the same thing from another angle: a large AI client is blocking 250,000 fraudulent free trials per week; she saw an AI company burning $25 in compute per free trial with a 4% conversion rate, meaning losing $625 to acquire one paying user; overall abuse of free trials has quadrupled in the past six months.

These numbers collectively illustrate one thing: in the AI economy, the judgment that truly determines whether a transaction can succeed and is worth doing no longer happens at the moment of checkout—it happens further upstream, with questions like "Who is this?", "What do they want to do?", "Is this worth allocating resources to?". This is why Stripe is moving its risk control Radar from the "transaction moment" to the "entire user lifecycle": it's not about making old risk control faster, but changing the questions risk control cares about from "Is there a problem with this payment?" to "Is there a problem with this user's/Agent's entire behavior?". The former is a payment layer issue; the latter belongs to the KYA layer.

Returning to that peer's question: where does liability ultimately fall?

He is correct—the ultimate legal entity remains a person. AB 316 has already codified this legally.

But this is precisely the real problem KYA must solve: when the liability chain becomes distributed, finding "specifically which part on which person" is something the KYC era didn't need to do, but the KYA era must.

In the KYC era, the liability chain was linear (user → payment/bank → merchant). When a transaction had a problem, you intuitively knew who to go to.

In the KYA era, the liability chain is a network (user → Agent platform → model provider → payment protocol → bank → merchant, potentially calling other Agents in between). Even if the law tells you "go after the person, not the Agent," you still don't know which person—because liability is already distributed across 5–7 entities.

KYA cannot change the law's ultimate assignment. But it can, within the network chain, use cryptography to solidify the role and actions of each entity—who authorized what, who executed what, who settled what, who fulfilled what. Turning "can't find evidence" into "can find evidence"; turning "which link had a problem is unverifiable" into "verifiable."

This is not an improvement in payment efficiency.

This is the first time accountability traceability can occur within an Agent network.

Therefore, I believe the statement "The only change is payment and settlement efficiency" confuses infrastructure with function.

What's really happening is:

  • Because a new type of economic actor (Agent) has emerged, a new layer of infrastructure (KYA) is forced to grow;
  • This infrastructure layer redefines "who is on the other side, what can they do, and who do we go to if something goes wrong"; on top of this infrastructure layer, payments will reorganize themselves in a form we cannot fully see today.

What exactly is the next generation of payments? What remains unclear is precisely the new species Stripe is attempting to define.

But in a world of uncertainty, one thing I am certain of—it will not be designed within the payment layer.

It will grow from the scenarios once the KYA infrastructure layer is laid.

Trend Kriptolar

İlgili Sorular

QAccording to the article, what is the core difference in perspective between the author and the 'peer's comment' regarding KYA and payment efficiency?

AThe peer's comment suggests that KYA (Know Your Agent) is merely an upgrade within the existing payment system framework, with 'payment and clearing efficiency' being the only thing that changes. The author argues the opposite: KYA is a foundational infrastructure layer for the Agent economy, and payment will become a subsystem within this new KYA layer, not the other way around.

QBased on the author's experience, what is the primary driver for a true leap in payment form?

AAccording to the author, a true leap in payment form is driven by new transaction scenarios, not by internal innovation within the payment layer itself. New payment forms 'emerge' from the infrastructure required by the new scenario, rather than being 'optimized' from within the existing payment system.

QHow does the author interpret Stripe's strategic moves, such as acquisitions and new products, in relation to its stated goal?

AThe author interprets Stripe's strategic moves (e.g., acquiring Bridge and Privy, building Tempo blockchain) as evidence that it is positioning KYA as a foundational infrastructure layer. This investment portfolio, which extends beyond traditional payment efficiency, only makes sense if the goal is to build the economic infrastructure for the Agent economy, not just to optimize payments.

QWhat key problem does KYA solve in the Agent economy regarding responsibility, according to the article?

AKYA addresses the problem of traceability and evidence in a distributed responsibility chain. While the legal responsibility ultimately falls on a human (as KYC requires), in the Agent economy, responsibility is distributed across a network of multiple entities (user, Agent platform, model supplier, etc.). KYA uses cryptography to record each entity's role and actions, making responsibility traceable and verifiable, which was not a requirement or capability in the KYC era's linear responsibility chain.

QWhere does the author believe the next generation of payment form will be designed or emerge from?

AThe author believes the next generation of payment form will not be designed within the payment layer itself. Instead, it will 'emerge' from the new transactional scenarios of the Agent economy after the foundational KYA infrastructure layer has been established.

İlgili Okumalar

When Traditional Finance Fails People in Crisis, Bitcoin Succeeds

When traditional finance fails to reach people in crisis, Bitcoin succeeds. This article highlights how fundraising platforms like GoFundMe face severe limitations in delivering aid to conflict zones like Gaza due to banking regulations, sanctions, and compliance rules. For instance, Sami Jamal Al-Shannat raised over £55,000 for his family but couldn't receive the funds directly; instead, money had to be routed through a beneficiary in another country, leading to disputes and loss of access. The piece explores how compliance requirements often force reliance on intermediaries, shifting risk and responsibility away from platforms and onto individuals. In contrast, Bitcoin and blockchain-based platforms like Geyser and Agora enable direct, peer-to-peer transactions, bypassing traditional financial bottlenecks. These platforms shift trust from centralized institutions to verifiers—local partners or trusted organizations—who validate projects, allowing donors to send funds directly to recipients' wallets. While not a panacea, Bitcoin offers a way to circumvent "transnational financial repression," where sanctions and AML rules inadvertently harm legitimate aid recipients, activists, and dissidents. The conclusion emphasizes that open payment networks and decentralized trust models represent a systemic shift, empowering beneficiaries and providing more resilient humanitarian fundraising in crisis situations. However, challenges around verification, accountability, and fraud prevention remain.

marsbit20 dk önce

When Traditional Finance Fails People in Crisis, Bitcoin Succeeds

marsbit20 dk önce

Bitcoin Shifts Towards Consolidation, Long-Term Holder Selling Pressure Significantly Eases

Bitcoin's Bottoming Process Shows Signs of Shifting Dynamics Bitcoin's bottom formation is ongoing, but key characteristics are changing. The capitulation selling by long-term holders (LTHs), a primary source of selling pressure this cycle, has begun to cool from its recent peak. Buyers successfully absorbed the selling at the June lows, and price is now recovering to challenge overhead resistance. The market is testing higher resistance levels. Bitcoin reacted more strongly to soft inflation data than major equity indices, signaling sellers may be exhausted and buyers are waiting for a catalyst. Its correlation with stocks is weakening while its inverse relationship with the USD is deepening, suggesting liquidity dynamics are now more influential than risk sentiment. On-chain, price sits between the network's Realized Price (a historical bear market floor) and the Short-Term Holder (STH) cost basis near $69k, a key resistance level where recent buyers break even. LTH profit-taking has largely dried up, and losses now dominate realized on-chain volume—a typical late bear market signal. Crucially, the pace of LTH capitulation has started to decline. Derivatives markets show bearish positions are being unwound, with put/call ratios falling and crash protection costs moderating. However, this derisking hasn't been accompanied by significant spot buying, a missing link for sustained recovery. US spot ETF outflows have slowed but not reversed. In conclusion, foundational elements for a bottom are forming: LTH selling is easing, low-point selling was absorbed, and the market is responding to positive macro cues. The next critical test is whether spot-driven buying can push price through and hold above the STH cost basis near $69k. The follow-through is not yet confirmed.

marsbit38 dk önce

Bitcoin Shifts Towards Consolidation, Long-Term Holder Selling Pressure Significantly Eases

marsbit38 dk önce

Defending Champions or New Kings? World Cup Final Sees All AIs Backing the Same Side

Will the 2026 World Cup final see Argentina successfully defend their title or a new champion crowned? AI models from various platforms have made their prediction. The final in Buenos Aires pits defending champions Argentina against a resilient Spanish side that has reached this stage with a record of exceptional defensive solidity, conceding only one goal in seven matches. Argentina's path was dramatically different, filled with late comebacks and narrow victories, including a semi-final win over England secured by late goals assisted by the 39-year-old Lionel Messi. A poignant subplot adds narrative weight: a nearly 20-year-old photo shows a young Messi bathing an infant Lamine Yamal, who is now a 19-year-old key player for Spain, symbolizing a potential passing of the torch. In the semi-finals, most AI models incorrectly predicted a French victory over Spain, with only Google's Gemini correctly picking Spain's advancement and also accurately forecasting Argentina's win over England. For the final, however, all six surveyed AIs—ChatGPT, Claude, Gemini, Grok, DeepSeek, and Qwen—unanimously predict a Spanish victory. Their reasoning centers on Spain's superior defense, midfield control, and better physical preparedness after a less strenuous knockout stage journey. While consensus favors Spain as champions, five of the six AIs believe the match will be tightly contested, predicting a draw (1-1 or 0-0) within regular time, with Spain's advantage potentially telling in extra time or even a penalty shootout. Only DeepSeek forecasts a clear Spanish victory within 90 minutes. The stage is set for a clash between Argentina's legendary fighting spirit and Spain's machine-like consistency, with artificial intelligence firmly backing the latter to lift the trophy.

Odaily星球日报55 dk önce

Defending Champions or New Kings? World Cup Final Sees All AIs Backing the Same Side

Odaily星球日报55 dk önce

From a Loss of 19.2 Billion to a Profit of 7.1 Billion, ChangXin Technology States 'Downturn Cycle Remains a Concern'

Changxin Technology, China's leading domestic DRAM manufacturer, is nearing its IPO on the STAR Market. After reporting significant net losses of -192.25 billion yuan and -90.51 billion yuan in 2023 and 2024 respectively, the company achieved a net profit of 71.44 billion yuan in 2025. This turnaround is attributed to an AI-driven surge in DRAM demand and tight industry supply, leading to a 33.69% increase in average selling prices alongside reduced unit costs. Despite the improved profitability, with gross margins rising from -1.93% in 2023 to 40.99% in 2025, Chairman Zhu Yiming cautions that the strongly cyclical DRAM industry remains vulnerable. Risks include potential macroeconomic shifts, uncertain AI demand, and new capacity expansions that could trigger another downturn. The company still faces high fixed costs, with depreciation reaching 246.8 billion yuan in 2025. Changxin plans to raise 29.5 billion yuan through its IPO to fund technology upgrades, DRAM advancement, and R&D. While its capacity ranks fourth globally, its 7.67% Q4 2025 market share lags behind leaders Samsung, SK Hynix, and Micron. Analysts note the company must now prove its ability to achieve stable mass production with high yields and low cost-per-bit, especially for advanced products. Its growth currently relies on transitioning from DDR4/LPDDR4X to DDR5/LPDDR5X and increasing domestic substitution. Successfully developing and commercializing high-value AI products like HBM is seen as crucial for future competitiveness and closing the gap with international giants.

marsbit1 saat önce

From a Loss of 19.2 Billion to a Profit of 7.1 Billion, ChangXin Technology States 'Downturn Cycle Remains a Concern'

marsbit1 saat önce

İşlemler

Spot

Popüler Makaleler

LAYER Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Solayer (LAYER) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Solayer (LAYER) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Solayer (LAYER) Varlıklarınızı SaklayınSolayer (LAYER) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Solayer (LAYER) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Solayer (LAYER) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

366 Toplam GörüntülenmeYayınlanma 2025.02.11Güncellenme 2026.06.02

LAYER Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların LAYER (LAYER) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片