On March 18, 2026, Nasdaq-listed Yuanbao Inc. (YB) released its unaudited financial results for the fourth quarter and full year of 2025. The report, published in early spring, highlighted a trajectory of rapid growth for this internet insurance newcomer amid the AI wave. For the full year 2025, Yuanbao Inc. achieved total revenue of 4.373 billion yuan, a year-on-year increase of 33.1%. Net profit reached 1.308 billion yuan, surging 51% compared to the previous year. However, beneath these impressive figures, dissatisfaction and controversy from consumers persist, casting a chill. Concurrent with the earnings release, complaints regarding "unauthorized charges" and "misleading sales tactics" remained high on consumer complaint platforms. This stark contrast between financial performance and public perception has plunged the self-proclaimed "tech-driven" insurtech firm into a deep ethical debate concerning whether technology serves good or merely pursues profit.
Impressive financial data and persistent consumer complaints formed the dual narrative of Yuanbao Inc.'s 2025. On one side is a growth story celebrated by capital markets; on the other are frequent consumer rights disputes. This collision not only reflects the developmental challenges of the internet insurance industry but also questions the responsibility and ethical boundaries of insurtech companies.
From a financial perspective, 2025 was undoubtedly a year of qualitative and quantitative growth for Yuanbao Inc. The financial report showed annual total revenue of 4.373 billion yuan, a significant increase from 3.285 billion yuan in 2024. Revenue for the fourth quarter alone was 1.175 billion yuan, maintaining a high growth rate of 32.2%. More notably, profitability saw a leap: the net profit of 1.308 billion yuan represented a 51% year-on-year increase, far exceeding revenue growth. This pushed the net profit margin from 26.4% in 2024 to 29.9% in 2025, a remarkable optimization of profit efficiency in the internet insurance sector where customer acquisition costs remain high. By the end of 2025, the company's cash and short-term investment reserves had grown to 4.04 billion yuan, with annual operating cash flow reaching 1.495 billion yuan, providing solid support for its capital market narrative.
This strong financial performance is underpinned by continuous business expansion and deep iteration of the business model. In 2025, Yuanbao Inc. issued 30.66 million new policies, a 36.7% year-on-year increase, reflecting high market penetration efficiency. In the deeper logic of capital markets, the company's identity is undergoing a profound transformation—it is no longer reliant solely on traditional insurance distribution spreads but is gradually becoming a highly industrialized "system service provider."
Data clearly illustrates this shift: in 2025, system service revenue reached 2.923 billion yuan, accounting for 66.8% of total revenue, while traditional insurance distribution service revenue was 1.447 billion yuan, representing only 33.2% of the total. This significant change in revenue structure reveals a shift in the core business logic: leveraging its self-developed "full-lifecycle service engine" and big data matrix to transform insurers' non-standard, low-frequency customer acquisition and risk management needs into standardized, scalable technical services, thereby generating technical service income.
Behind this "systematic efficiency enhancement" lies the deep restructuring of business processes by a Large Language Model (LLM) platform. Management disclosed in the earnings report that its AI Agent has achieved full-chain penetration in insurance scenarios, from millisecond-level responses in pre-sales consultations to automated assistance in post-sales claims. Technology is gradually replacing high human costs, driving operational efficiency gains. In 2025, the leverage effect between R&D expenditure and marketing costs became more apparent. AI brings not only cost reduction at the operational level but also precise algorithmic capture of users' potential consumption needs. However, as this technology engine, touted as "reshaping the health insurance narrative," facilitated over 30 million policies in less than a year, its cold algorithmic logic has also sparked significant controversy among consumers. For policyholders lost in the algorithmic fog, this efficient "precision targeting" often comes with vague charge notifications and complex cancellation procedures, casting doubt on the notion of "tech-enabled inclusivity" amidst rapid data growth.
Yuanbao Inc.'s rapid growth is not accidental; it is backed by deep internet DNA and an aggressive traffic operation strategy. Formerly known as Beijing Muyi Insurance Brokerage, founded in 2005, the company underwent a transformation in 2020. Founder Fang Rui, former Vice President of NetEase Group, who built NetEase Pay, possesses deep expertise in monetizing e-commerce traffic. This "NetEase-style"基因 equipped Yuanbao Inc. with distinct traffic operation capabilities and user acquisition skills upon its official rebranding and entry into the internet insurance sector in 2020. Capitalizing on the short-form video platform红利期, Yuanbao Inc. quickly launched marketing campaigns like "First Month for 1 Yuan" and "0 Yuan Insurance" on e-commerce platforms, amassing millions of policies within a few years and completing its initial user accumulation.
Even in 2025, a year of tightening regulations and industry standardization, Yuanbao Inc. continued to reshape its marketing narrative, repackaging its once-criticized traffic operation model as AI-driven "precision targeting." The financial report shows that total operating costs and expenses for 2025 reached 3.037 billion yuan, a 25.7% increase from 2.416 billion yuan in 2024. Within this substantial expenditure, sales and marketing expenses still dominate absolutely. While the company repeatedly emphasizes that its LLM application significantly improves user conversion rates, this efficiency gain is accompanied by the algorithm's precise capture of human vulnerabilities, a phenomenon sparking widespread market discussion.
Subtle data changes indirectly reflect this shift in marketing focus. The 30.66 million new policies in 2025, averaging over 80,000 per day, were driven by AI-powered high-dimensional user profiling aimed at specific "high-conversion cohorts" with customized products. However, underpinned by massive marketing costs and precise technological推力, AI's "precision" can morph into targeted "user capture." Observations suggest that when algorithms identify that elderly users, unfamiliar with smartphone operations, struggle to recognize features like "auto-renewal" or "password-free payment" hidden in complex interfaces, this technology can precisely target this digitally vulnerable group. This expansion model, driven by high marketing expenditure and powered by AI algorithms, is essentially a continuation of traffic logic, albeit more隐蔽 and harder for users to detect and防范 under the guise of technology.
If the impressive financial report is Yuanbao Inc.'s ode to capital markets, then consumer complaints represent a significant concern beneath the rapid growth. By mid-March 2026, complaint platforms hosted over 1,219 records against Yuanbao Inc., predominantly disputes arising from "information asymmetry," with "unauthorized charges" being the most frequent issue. This data points to an alarming reality: some consumers, particularly elderly groups less familiar with digital interfaces, are easily attracted by low-threshold marketing slogans like "Starting from 1 Yuan" or "First Month 0 Yuan" while browsing short videos or e-commerce platforms, subsequently entering an insurance subscription loop.
Specific complaints show that fee-related disputes are often long-cycle and highly隐蔽. Family members have reported that elderly relatives were charged continuously for up to a year via bank cards or third-party payment platforms without their knowledge, accumulating costs of tens of thousands of yuan, with the elderly unable to recall clicking any subscription link. The deep integration of "password-free payment" and "auto-renewal" can reduce what should be a rigorous insurance contract to an algorithm-driven automatic deduction instruction in some scenarios, overlooking consumer知情权 and choice.
Some complaints also allege that after obtaining personal information, Yuanbao Inc. induced premium transfers through methods like verification codes without full authorization. A spike in such "unauthorized charge" complaints in December 2025 alone suggests potential shortcomings in respecting consumer知情权 during front-end customer acquisition.
Beyond billing disputes, Yuanbao Inc.'s claims service faces criticism. While the company promotes "AI-driven claims efficiency," in practice, the algorithmic review logic sometimes appears偏向于 finding "compliance gaps" for denial. A late-2025 case involved a policyholder diagnosed with cancer whose claim was denied and policy terminated due to "non-disclosure of pre-existing gallstones," a common condition often unrelated to critical illness. Such practices, when automated, become more standardized, raising questions about claims fairness.
Notably, the internet insurance industry is in a rapid growth phase, with penetration rates projected to rise significantly by 2028. If Yuanbao Inc. continues focusing AI application primarily on front-end traffic acquisition and user conversion while neglecting back-end consumer protection, its foundation of over 30 million policies could face regulatory scrutiny and a trust crisis epitomized by "easy to subscribe, hard to claim."
The reality Yuanbao Inc. must face in the spring of 2026 is that greater profits bring greater controversy. The core value of insurance lies in providing reliable protection against risk, rooted in "trust" and "human warmth." As emphasized by industry guidelines, the sector must build a trustworthy image and genuinely protect consumer rights.
Yuanbao Inc. delivered a stellar financial report for 2025, winning capital market recognition. However, significant room for improvement remains in consumer protection and corporate ethics. Technology itself is neutral; the key lies in how companies apply it. AI should not be a tool for "hunting" users but a barrier enhancing service quality and safeguarding consumer rights. For Yuanbao Inc., with 4 billion yuan in cash reserves and 1.3 billion yuan in annual net profit, the future path depends not on the computational precision of its AI models, but on whether it can uphold the insurance industry's original purpose—maintaining respect and responsibility towards consumers—while pursuing algorithmic efficiency and profit, thereby achieving a win-win for commercial and social value.
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