Competing to Serve "Solo Entrepreneurs"? Banks Race into OPC Blue Ocean: Loan Amounts Up to 5 Million Yuan, Risk Control Shifts from Collateral Assessment to "Calculating the Future"

Everyday Economic Reporter: Liu Jukai    Editor: Liao Dan

The rapid advancement of AI technology is redefining the smallest units of entrepreneurship. When intelligent agent tools like “OpenClaw” enable an individual to handle product development, content creation, and customer service simultaneously, the entrepreneurial world will experience a profound organizational transformation by 2026—“One-Person Companies” (OPC) are moving from concept to large-scale implementation. “One person + one computer + a set of AI tools” now allows for a complete end-to-end process from product development to commercial launch.

Behind this wave, keenly aware banks are taking the lead in a financial service blitz targeting “super individuals.” Notably, many financial institutions—including Bank of Communications, SPD Bank, Jiangsu Bank, Nanjing Bank, and Changshu Rural Commercial Bank—have launched OPC-related financial products and services, with credit limits reaching up to 5 million yuan.

However, the operating characteristics of light assets, no collateral, high-frequency settlements, and rapid turnover sharply contrast with traditional financial services’ “heavy assets, heavy collateral, long cycles.” As “lack of collateral, lack of cash flow, difficulty obtaining initial loans, urgent funding needs” become common pain points for OPC entrepreneurs, a financial service revolution led by banks is quietly unfolding.

Jiangsu Bank’s Suzhou branch issued its first “OPC SuZhiChuang” special loan, which was approved and funded with 2 million yuan in just six hours; Shuyang Rural Commercial Bank’s first “OPC ChuangYiDai” was disbursed within a day. Multiple banks are aggressively entering this new blue ocean, but balancing “fast approval” with “risk control” remains a core challenge for industry players.

OPC Surge: Tech Equality, Policy Relaxation, Demand Catalysis

The rise of OPC is an inevitable result of technological iteration, policy easing, and market demand resonance. Ding Hong, member of the National Committee of the Chinese People’s Political Consultative Conference and academician of the Chinese Academy of Sciences, previously stated that the emergence of AI agents like OpenClaw and MiaoDa enables ordinary people without coding skills to develop deployable applications quickly, fostering a new form of “one-person army” OPC.

Tasks that previously required ten people over a week can now be completed by one person in days or even hours, greatly improving efficiency. The “tech equality” effect significantly lowers the barriers to entrepreneurship and reduces trial-and-error costs.

Policy-wise, obstacles have been cleared and momentum injected. The new Company Law implemented in July 2024 removed the restriction that a natural person can only establish one one-person limited liability company, opening legal pathways for OPC formation.

By 2026, support policies at both national and local levels have been densely introduced. “Building a new form of intelligent economy” was included in the government work report for the first time. Cities like Beijing, Shenzhen, Suzhou, Hangzhou, and Shanghai have launched special support or cultivation plans, providing subsidies for computing power, free workspaces, rent reductions, and dedicated funds to systematically build an OPC entrepreneurial ecosystem. Hangzhou Shangcheng District announced an annual special fund of no less than 100 million yuan to create the “First City of OPC Entrepreneurship.”

Market demand is the ultimate catalyst. OPC entrepreneurs often focus on niche segments overlooked by large enterprises, leveraging deep industry understanding and flexible AI tools to offer customized solutions with “small entry points and deep cultivation.” From AI content creation and cross-border independent site operations to lightweight AI transformation consulting for enterprises, OPC businesses have penetrated the veins of the digital economy. This “single driver + AI collaboration” model perfectly aligns with the new business logic of the digital economy era—light assets, rapid iteration, and deep vertical specialization.

Banks Enter the Fray: Challenges from OPC’s “Light Asset” Model

Facing this new client segment, traditional banks’ credit logic centered on fixed assets and financial statements is nearly ineffective.

Traditional credit models rely on “asset valuation”—real estate, equipment, inventory—forming the foundation of risk mitigation. However, OPC entrepreneurs often wear multiple hats—founder, operator, financier, salesperson—with minimal fixed asset investment. Their core value lies in “soft information” such as intellectual property, data assets, and technological capabilities.

The “light asset, no collateral, high-frequency settlement, rapid turnover” operating features of OPCs sharply conflict with traditional financial services. Yet, the enormous market potential makes banks hard to ignore.

“Such structural mismatches are forcing banks to reconstruct their credit logic,” said a head of asset management at a city commercial bank in the western region, speaking to the Daily Economic News. Industry insiders generally believe that whoever can provide foundational financial services to these potential future “unicorns” first will gain a competitive edge.

Since the start of 2026, many regions have introduced OPC-specific support policies, safeguarding the development of this new business form. Policy dividends combined with market demand are accelerating bank deployment.

A senior banking researcher pointed out that the fundamental driver for banks’ intensive OPC financial layout is the structural change on both supply and demand sides. On the demand side, AI technology lowers entrepreneurial barriers; the rise of platform and gig economies makes “one-person companies” new vehicles for employment and innovation. On the supply side, traditional corporate banking faces the loss of high-quality clients and narrowing interest margins, while OPCs represent an incremental market offering new growth opportunities. More importantly, this client group has high growth potential; early engagement helps banks establish long-term relationships, transitioning from “first-time borrowers” to “core clients.”

Recalibrating the “Standard”: From Collateral to Future Potential

A fierce competition for financial service innovation targeting OPCs has quickly unfolded. Banks’ strategies are shifting from single credit products to comprehensive ecosystem services.

At the product level, the credit logic is fundamentally changing. As one city commercial bank analyst explained, traditional corporate credit relies on “hard assets” on the balance sheet, whereas OPC finance fundamentally involves a hybrid valuation of “personal credit + digital assets.” Banks are attempting to use AI algorithms to convert soft information—such as technological patents, order contracts, industry outlooks, personal credit reports, and open-source code contributions—into quantifiable credit indicators.

For example, Jiangsu Bank’s Suzhou branch launched the “OPC SuZhiChuang” special loan, which builds big data profiles based on five dimensions: actual controller, intellectual property, equity financing, industry, and upstream/downstream enterprises, offering up to 3 million yuan in credit.

ICBC Suzhou branch’s “OPC Talent Loan” focuses on evaluating the educational background, industry experience, and patent barriers of actual controllers and core teams.

Shuyang Rural Commercial Bank’s “OPC ChuangYiDai” product primarily uses credit assessment to support local OPC community enterprises and entrepreneurs, with credit limits up to 5 million yuan and terms up to three years.

In terms of service process, “speed” is the key. To meet the “small, high-frequency, urgent” funding needs of OPC entrepreneurs, banks generally implement rapid approval via green channels and digital platforms. Jiangsu Bank’s first “OPC SuZhiChuang” loan was approved and disbursed within six hours; Shuyang Rural Commercial Bank’s first “OPC ChuangYiDai” took only one day from application to fund arrival.

However, speed does not mean unlimited risk exposure. The same city commercial bank source revealed that many banks adopt a “staged credit” strategy: small amounts are approved automatically by systems to improve efficiency, while larger amounts involve additional manual review.

A deeper transformation involves banks shifting from mere “fund providers” to becoming “digital operational partners” for OPCs.

SPD Bank extends its services to policy interpretation, technology qualification applications, legal consulting, and links to “Tech Reception Rooms” and other ecosystem services.

Jiangsu Bank has launched an OPC financial service plan centered on a digital operation platform, integrating account management, payments, invoicing, financing support, and ecosystem links to form a comprehensive solution—creating a closed-loop system of “account opening as service, operation as data, turnover as credit, growth as ecology.”

Nanjing Bank’s “OPC Tongxin Plan” reflects another risk control approach. It focuses on “people + computing power,” leveraging existing products like “Compute Power Loan” and “Xin Talent,” to build a full lifecycle service system through “investment-loan linkage + ecosystem empowerment.”

Industry insiders believe that these innovations are shifting banks from isolated loan assessments to evaluating OPCs within their industrial ecosystem—where computing power demand reflects technological input, talent structure indicates ongoing innovation capacity, and equity financing progress demonstrates market acceptance.

“This shift means banks are trying to deeply embed into OPC daily operations, accumulating multi-dimensional data to build underlying capabilities for future digital transformation,” said a banking researcher.

Future Challenges: Balancing Innovation and Risk Control

Despite promising prospects, banks must confront the inherent high risks of OPCs even as they enthusiastically embrace this new model. The high failure rate of OPCs is a factual reality in early exploration stages. Data from AI tool aggregation websites show that nearly 1,500 out of over 5,000 AI tools recorded as of January 2026 have shut down or ceased operation, most developed by micro teams of 1-3 people. This raises alarms for banks’ asset quality risk management.

From an asset quality perspective, “one-person companies” do not inherently possess higher creditworthiness than larger firms. On the contrary, they often lack collateral, have high liquidity, and weak risk resilience.

Industry analysts believe that risk pricing for OPC finance faces three major challenges. First, technological iteration risks—rapid changes in AI technology paths mean today’s hot tracks could be overturned tomorrow, requiring banks to establish quick response mechanisms for industry research. Second, credit risk of the entity—“one-person companies” depend heavily on the founder; if key personnel change or leave, company value could plummet, necessitating strong assessments of founder stability. Third, valuation risk of data assets—intangibles like intellectual property and user data have high uncertainty in monetization, and traditional valuation methods struggle to accurately measure them. Therefore, banks should develop industry-specific access lists, setting differentiated risk controls for tech, content, and service tracks to avoid a one-size-fits-all credit approach.

A senior asset management officer at a city commercial bank warned that banks should beware of blindly following the trend of “innovating for innovation,” avoiding the misconception that OPC finance is simply about lowering credit thresholds and expanding lending. True innovation lies in upgrading risk control technologies, optimizing service models, and building ecological systems, not in breaching risk bottom lines.

Currently, bank deployment shows a layered pattern: leading national or regional banks like Jiangsu Bank, Nanjing Bank, and SPD Bank have launched systematic solutions; local institutions like Shuyang Rural Commercial Bank and Yuhang Rural Commercial Bank focus on their local OPC communities with targeted products. This differentiated competition helps form a multi-tiered service system but also raises new regulatory coordination requirements.

“How to balance encouraging innovation and preventing risks requires joint efforts from regulators and industry players,” said the researcher.

Another key point is the sustainability of OPC finance. At this stage, some banks may offer preferential rates or tolerate higher risks for policy response or branding reasons. However, for long-term viability, these businesses must achieve commercial sustainability to become an integral part of the bank’s portfolio. Experts suggest establishing independent accounting for OPC operations, regularly evaluating risk-adjusted returns, and avoiding short-term behaviors that could threaten asset quality.