Summary:
Have your family members or friends been detained for bulk-registering accounts on AI platforms, pooling and reselling computing power, or engaging in API reverse-engineering relay services? This article explains where the red lines lie between occasional “benefit-seeking” and scaled arbitrage. You will understand what criminal offenses three common practices may respectively trigger, and what preparations you should make from the onset of an investigation through to inter-provincial arrest. After reading, you will be able to determine whether to cut losses, surrender voluntarily, or immediately engage counsel.
Keywords: computing-power arbitrage; crime of illegally obtaining data from computer information systems; crime of copyright infringement; API reverse-engineering parasitism; criminal risk
Main Text:
With the rapid development of AI agent (artificial intelligence agent) technology, new forms of black- and gray-market activities have begun to emerge in the upstream and downstream business models surrounding it.
Within this ecosystem, black- and gray-market actors are treating computing power—the core resource underpinning the operation of AI agents—as an object of arbitrage, employing technical means to obtain it in bulk and utilize it in a centralized manner.
Such conduct is evolving into an arbitrage model characterized by organization, scale, and technological sophistication. Its basic logic is as follows:
Leveraging common platform growth strategies (such as free quotas for new users, referral rewards, and membership benefits), actors use batch-processing technical methods to acquire computing-power resources and then resell them externally at low cost, profiting from the price differential.
In the process, such conduct not only disrupts platforms’ operational mechanisms but, under certain conditions, may also expose participants to criminal liability.
This article seeks to start from behavioral patterns, deconstruct the currently prevalent pathways for AI agent computing-power arbitrage, and, from a practical perspective, analyze the potential legal risks involved.
I. Author: Attorney Shao Shiwei
In the AI agent industry, computing power is essentially a cost resource that can be quantified and consumed.
To acquire user scale, many platforms lower usage barriers by offering free quotas, referral rewards, and other incentives.
Many individuals consider registering multiple accounts to exhaust the free quotas across different platforms. At this stage, most people do not perceive any issue with such conduct.
However, if the conduct gradually evolves from personal use to the bulk acquisition of these resources—centrally controlling multiple accounts to consume computing power, or even accepting external orders, charging fees, providing services to others, and earning arbitrage profits—the nature of the entire matter changes fundamentally.
It is precisely during this transition that conduct initially appearing to merely exploit platform rules begins to be understood as a form of arbitrage centered on computing power. Under certain conditions, such conduct may fall within the scope of criminal evaluation.
Below, we analyze the risks associated with such conduct by examining several typical models.
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Model 1: Acquiring Computing Power Resources by Exploiting Platform New-User Growth Mechanisms
Currently, mainstream platforms typically offer free trial quotas to new users and establish referral reward mechanisms to drive user growth.
Under this mechanism, some individuals begin to use automation tools (such as scripts and emulators) to register accounts in bulk, repeatedly and extensively obtaining computing power resources provided by the platform. Alternatively, they may continuously obtain referral reward points or computing power by cyclically registering new accounts and binding referral codes.
Many people believe that this merely pushes platform rules to their limits and poses little problem. However, in actual determinations, the key issue is not whether these rules were used, but whether technical means were employed to repeatedly bypass the platform’s verification mechanisms (such as device identification and SMS verification), and whether a sustained method of resource acquisition was established.
If the conduct has evolved from occasional use to bulk operations via tools for stable resource acquisition, or further to providing external services or monetization, its legal nature may change.
In certain cases, such conduct may be evaluated from the perspective of “bypassing systems to obtain platform resources,” involvingCrime of Illegally Obtaining Data from Computer Information SystemsIf the relevant conduct relies on programs or tools specifically designed to bypass platform security measures, the acts of producing and providing such tools may also fall withinthe scope of evaluation for the Crime of Providing Programs or Tools for Intruding into or Illegally Controlling Computer Information Systems; furthermore, in scenarios where platform rewards are repeatedly obtained by fabricating "new user" identities and then appropriated or monetized, there is also a risk of analysis from the perspective ofthe Crime of Fraudrisks analyzed from this perspective.
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Model 2: Reselling Computing Power by Splitting High-Tier Platform Benefits
Certain platforms offer premium membership accounts (such as ChatGPT Plus or Team plans), which correspond to higher computing power quotas or multi-seat usage rights. On this basis, some individuals split the usage rights of a single account and provide access to multiple downstream users through "carpooling" or overselling, thereby earning the price difference.
Many people may believe that this is merely a reuse of purchased benefits and, at most, constitutes a violation of the platform's user agreement. However, in actual determination, it is still necessary to examine the specific source and manner of use.
If the sharing or cost-sharing is based solely on normally purchased accounts, the matter generally remains at the level of breach of contract or unfair competition, with relatively few cases escalating directly to the criminal level.
However, if the source of the relevant accounts is problematic—for example, if they were obtained at low prices through abnormal means, or if they are associated with the aforementioned bulk acquisition of resources—and are then monetized externally through carpooling, resale, or other methods, this stage will no longer be regarded as mere "shared use," but may be evaluated within the overall chain of activities.
In such circumstances, whether the actor was aware of the source of the accounts, participated in subsequent monetization, and derived profits therefrom will all become important factors in assessing risk. Under certain circumstances, it may also be analyzed from the perspective ofthe crime of concealing or disguising the proceeds of crimeand other perspectives for analysis and determination.
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Model 3: Leveraging Platform Interface Capabilities for Resale Arbitrage
This type of model can be understood as follows: the platform provides a “service capability limited to internal use,” while actors in the black and gray markets convert such capability into resources that can be sold externally.
By analogy, it more closely resembles the following structure: the platform is like a “self-service restaurant,” allowing users to use services within the premises in accordance with the rules (for example, generating content free of charge on the web interface), but not permitting these capabilities to be packaged and taken away or provided externally for interface invocation.
The platform can bear this portion of the costs based on the premise that most users’ usage is dispersed and limited, keeping overall costs manageable. The so-called API reverse parasitism essentially superimposes a layer of “proxy retrieval and resale” structure outside this system: by technical means, it obtains the platform’s internal invocation paths and verification methods, transforming originally scattered usage behaviors into centrally schedulable invocation capabilities, which are then offered externally as “interface services” charged per invocation volume.
In this process, the platform bears the computational resource consumption, while the intermediary layer completes resource integration and external charging. In other words, operations that could originally only be performed within the platform interface are converted into capabilities that can be invoked in batches by programs, forming interface services offered externally for a fee.
In practical determination, if the relevant conduct involves bypassing technical measures set by the platform to restrict access (such as authentication mechanisms, token validation, etc.) and extracting and reusing interface logic, it may be analyzed from the perspective ofthe crime of copyright infringement; if services are further provided externally in forms such as “API relay” or “interface services” and continuous profits are derived, there is also a risk of being evaluated from the perspective ofthe crime of illegal business operations; and when the relevant request behavior reaches a high intensity, causing significant impact on the operation of the platform system or even functional disruption, it may also involveCrime of Sabotaging Computer Information Systems。
Overall, “computing power arbitrage” in the AI agent sector has gradually evolved from isolated operations into a multi-tiered model encompassing account acquisition, rights unbundling, and API resale.
Against the backdrop of the continuous improvement of the digital economy and the rule-of-law environment, regulatory oversight of such emerging online black-and-grey market activities is becoming increasingly stringent. Technology itself is neutral; the key lies in the manner of its use and the actual effects produced.
For practitioners, greater attention should be paid to their position within the overall chain of activities, as well as the nature and risks arising therefrom.
Special Disclaimer: This article is an original work by Attorney Shao Shiwei. It reflects only the author’s personal views and does not constitute legal consultation or legal advice on specific matters. For article reposting, legal consultations, or professional exchanges, please add: sswls66.
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