Digital Finance and AI Agent Economy: Five Major Events Reveal New Landscape of Payment Infrastructure and Platform Competition

Event Background

This week (first week of June 2026), a series of events occurred in the fintech sector, ranging from payment infrastructure to talent strategy, from AI agent payments to employment impact, collectively outlining the contours of the next phase of the digital economy.

1. Blackcat: Reconstructing the BaaS Correspondent Banking Model

At Money20/20 Amsterdam, Blackcat launched a new correspondent banking service product for regulated financial institutions, offering direct SEPA access, aiming to solve the compliance and cost challenges faced by emerging financial institutions in accessing payment networks. Its CTO Olegs Cernisevs pointed out that the issue is not market demand, but that the industry is trying to accomplish tasks with an unsuitable framework.

2. 'Built in Europe' Talent Initiative

Initiated by Balderton Capital and supported by European tech giants such as Revolut, Mistral, Wayve, and ElevenLabs, the 'Built in Europe' campaign aims to overturn the stereotype that Europe struggles to produce global tech giants. The campaign includes billboards, digital ads, and a platform aggregating job positions from 1,000 startups.

3. Visa Europe Executive on AI Integration

Mandy Lamb, Head of Value-Added Services at Visa Europe, stated that Visa has embedded AI into its core infrastructure for over 30 years. Today, Visa helps clients adapt to a digital, connected, and automated business ecosystem through value-added services (fraud prevention, data analytics, acceptance innovation).

4. Crossmint and Visa Collaborate to Launch AI Agent Card Payment API

Crossmint, a provider of stablecoin and wallet infrastructure, together with Visa Intelligent Commerce and Basis Theory, released an agent card payment API that allows US Visa credit/debit cardholders to use their cards directly within the AI agent ecosystem. The API addresses security issues in current agent payments, such as credential exposure (7.1% of instances).

5. Wells Fargo CEO on the Dual Impact of AI on Employment

Wells Fargo CEO Charlie Scharf pointed out at the Bernstein investor conference that AI both increases productivity and causes unemployment; both exist simultaneously, and the benefits and impacts will not occur on the same group of people at the same time.

Digital Economy Analysis

From BaaS to Correspondent Banking: Compliance Remodeling of Platform-based PaymentsBlackcat’s case reflects the evolution of the BaaS (Banking as a Service) model. Traditional BaaS allows fintech companies to access banking licenses via APIs, but the compliance burden is heavy. Blackcat’s correspondent banking model is essentially a platformized compliance intermediary—by connecting directly to the SEPA clearing system, it centralizes compliance responsibilities in its own hands, lowering the entry barrier for downstream institutions. This model strengthens the platform’s network effects: the more institutions that join, the more valuable Blackcat’s clearing capabilities and compliance expertise become. For the digital economy, this reduces the cost of accessing payment infrastructure and may give rise to more specialized fintech companies, but it also makes Blackcat a key “gatekeeper.”

‘Made in Europe’: The Game of Digital Talent and Platform Sovereignty

The ‘Built in Europe’ campaign is not just about talent recruitment; it is a challenge to Silicon Valley’s single-center dominance. Europe has local champions like Mistral (AI) and Revolut (fintech), but global talent still flows to the U.S. By establishing an exclusive employment platform that aggregates positions from European startups, the campaign creates a talent network effect—attracting more talent, which in turn strengthens the European tech ecosystem. This helps enhance Europe’s voice in the digital economy, especially in AI and fintech.

Visa’s AI Strategy: From Transaction Processor to Intelligent Business Infrastructure

Visa’s case shows that AI is not a new tool but has been embedded in the core payment network for 30 years. Mandy Lamb emphasizes that Visa remains cautious in the AI era—introducing autonomous transactions on the basis of safety, reliability, and continuity. This incremental AI commercialization model differs from aggressive startups, stressing that “trust is scalable infrastructure.” Visa’s Value-Added Services (VAS) are shifting from transaction fees to subscription-based revenue from data intelligence and risk management, changing the business model of payment companies and giving Visa a unique position in platform competition.

Crossmint and AI Agent Payments: The Next Infrastructure Layer for the Digital Economy

Crossmint’s API most directly advances payment infrastructure for the “agent economy.” AI agents (e.g., shopping assistants, automated processes) need payment capabilities, but existing peer-to-peer solutions have security vulnerabilities. By introducing the Visa card network into agent interactions, Crossmint creates a secure, traceable authorized payment layer. This opens new scenarios: AI agents can make bookings, subscriptions, purchases, etc., on behalf of users. For the digital economy, this means payments are no longer just a human activity but become a native function of machine-to-machine interaction. This will change transaction models on platforms like e-commerce, SaaS, and content subscriptions, and give rise to a new “agent wallet” business.

Business Model Observations- Blackcat Model: Shifted from retail payments to providing B2B payment infrastructure, with revenue from transaction fees and compliance service fees. It does not directly compete with traditional banks but acts as the "last mile of connectivity." - 'Built in Europe' Platform: Starting with talent aggregation, it may expand into a recruitment and collaboration platform for European startups, with a business model similar to LinkedIn but more vertical. Future monetization could come from corporate job ads or talent matching services. - Visa Value-Added Services: Moving from fixed transaction fees to value-based pricing, e.g., fraud protection charged as a share of savings; data analytics charged by subscription or usage. AI enables more accurate prediction services, increasing customer stickiness. - Crossmint Agent Payments: Charges fees based on transaction volume, while its API itself serves as a developer platform that can incorporate more wallets and networks to become an aggregation layer, creating network effects.- Data security: Crossmint's API addresses credential exposure issues and complies with PCI DSS and other standards, but the new data flows generated by AI agents (e.g., agent decision paths) may trigger the "automated decision-making" clause under GDPR. - Antitrust: Blackcat, as an aggregator service provider for SEPA, may be regarded by regulators as an "essential facility" and must ensure fair access. Visa's enhanced data intelligence services may raise concerns about data centralization. - AI regulation: The European AI Act classifies AI systems in the payment field as high-risk. Visa and Crossmint must meet requirements for transparency, human oversight, etc. - Cross-border data: The "Built in Europe" campaign reinforces regional data sovereignty and may exacerbate differences with the US over digital trade rules.

Global Trend Observations

This week's events point to three major trends:

1. Embedding AI into payment infrastructure: From fraud detection to autonomous transactions, AI becomes the gene of payment networks, not an add-on feature. 2. Standardization of the payment layer for the agent economy: AI agents will generate a large volume of payment needs, requiring secure and auditable card payment or token payment interfaces. 3. Regionalization of digital talent and platform sovereignty: Europe, India, and other regions are building independent talent and capital cycles away from Silicon Valley, accelerating the trend toward a multipolar digital economy.

These are not short-term phenomena — Crossmint's API could make agent payments mainstream by 2027; Visa's AI investment has spanned 30 years; Europe's talent movement will also last for years.

DigitalEcoNews Insight

The common theme of this week's events is "re-intermediation of infrastructure." Blackcat, Visa, and Crossmint are all rebuilding connections — between payment networks and financial institutions, between talent and startups, between AI agents and payment systems. The transformation of these intermediary links determines power distribution in the digital economy: whoever controls compliance, controls talent, controls agent payments, holds the "toll" for the future economy.

From a business model perspective, platforms shift from transaction matching to capability output: Blackcat outputs compliance and SEPA access, Visa outputs intelligence and trust, Crossmint outputs a secure payment layer. These capabilities themselves become priced products, driving revenue structure from one-time transactions to recurring service fees.

Looking ahead, the proliferation of AI agents will reshape consumer behavior — shopping, subscriptions, and bill payments may all be handled by AI, meaning payment interfaces will face machines rather than human users. Therefore, secure and scalable agent payment infrastructure will become a new battleground for platform competition. Meanwhile, through talent and capital autonomy, Europe is building a digital ecosystem parallel to the US, potentially moving the global digital economy from unipolar to multipolar.Financial institutions and corporate decision-makers should closely monitor these changes: evaluate their positioning in the era of agentic payments, increase investment in the integration of AI and infrastructure, and actively participate in the construction of regional digital talent networks.