On the same timeline, three seemingly unrelated lines are converging on the same regulatory focus: at one end, the relevant committee of the Russian State Duma has suggested the first reading of a criminal liability bill for illegal mining, which plans to add Article 171.6 to the Criminal Code to bring mining activities not registered in the national registry, as well as unlicensed provision of mining infrastructure services, directly into the realm of criminal law. If illegal income or losses exceed approximately 3.5 million rubles, offenders may face fines of up to about 1.5 million rubles or up to two years of forced labor; at the other end, Akamai announced that it has signed a seven-year cloud computing agreement with a company capable of advanced model capabilities, widely believed to be Anthropic, with reported amounts around 1.8 billion dollars but marked as "pending verification," indicating that the cutting-edge AI company is locking in long-term computing power while the resources behind computing power are under close scrutiny by various countries. At the same time, sources close to DeepSeek indicated that their financing negotiations with Alibaba collapsed due to issues related to terms and ecological compatibility, while there are rumors that Tencent may subscribe for up to 20% of the shares, reflecting the game and constraints of Chinese capital in this new round of AI investments. Meanwhile, Qatar has been reported to act as a secret communication channel between the United States and Iran, which, while shaking the situation in the Middle East and global energy expectations, also plants external variables for large-scale mining and AI data centers highly dependent on energy — as global regulation increasingly tightens control centered around financial stability, national security, critical information infrastructure, and data sovereignty, it raises questions about how energy, data, and computing power will be classified within national regulatory frameworks under the backdrop of geopolitical tensions and a computing power arms race. The compliance boundaries of the industry will shift again, becoming an unavoidable issue for every mining field, data center, and model developer.

Russian Mining Criminalization: The Cost of Being Outside the National Registry

Under the promotion of the relevant committee of the State Duma, the proposed Article 171.6 to be added to the Criminal Code explicitly establishes for the first time that "whether or not registered in the national registry" is a life-and-death line for mining activities. The draft divides regulated entities into two categories: one is mining itself not entered in the national registry, even if it is just self-operated computing power; the other is institutions or individuals providing mining infrastructure services such as data centers, electricity, and networks without permission to others. As long as they are conducting such activities outside the registry, once the corresponding illegal income or losses exceed approximately 3.5 million rubles, criminal liability will be triggered with sanctions of up to about 1.5 million rubles or up to two years of forced labor (final details to be confirmed upon passage of the text). The rules have been clearly delineated in the criminal code, transitioning from a gray area of "as long as you aren't caught, you can keep operating" to "as long as you aren't registered, you may be considered illegal operation."

This design, centered around revenue/loss thresholds, locks regulatory focus on scaled operations: regulators are not merely extending the logic of past administrative rectifications but are directly linking significant profits and systemic losses to criminal liability, pushing certain mining activities from the administrative risk zone into a high-pressure criminal zone. For miners, the national registry has become an access threshold; not being registered means that once scale increases, they could be deemed to be committing a crime. For computing power hosting providers, the previous model of "managing some rows of machines and profiting from the price difference" is precisely classified as “unauthorized service” to be targeted by Article 171.6 once they lack permission; and power companies are forced to stand on the regulatory side, supplying energy to registered entities while avoiding facilitating unregistered mining. As the registry itself solidifies into a "whitelist," mining shifts from being assumed as a marginal industry into a typical permitted industry framework. Any computing power, space, and electricity wanting to continue participating in this game in Russia must first accept the costs of being recorded, identified, and subject to ongoing scrutiny.

Energy and Geopolitics: The Shadow of Mining Costs Brought by Qatar's Mediation

As Russia attempts to recover domestic electricity from "gray mining" through the registry, thousands of kilometers away in the Gulf, Qatar is being reported as a secret communication channel between the United States and Iran. It does not directly issue letters or pricing to any mining site but influences the moods and expectations surrounding crude oil and natural gas at a higher level of geopolitical script, which have historically been tied to global energy prices. For large-scale mining and AI data centers reliant on low electricity prices, the Russian side’s use of criminal law Article 171.6 to clean up "unregistered computing power" juxtaposes with the Middle Eastern situation, which fluctuates between tension and relaxation as negotiations progress. Two pulses overlap on the same matter: the source and cost of every kilowatt-hour in the future are becoming harder to predict.

For a major energy-exporting country like Russia, criminalizing illegal mining is not just a tale of financial risks; it is also about withdrawing cheap electricity from rural warehouses and secret data centers toward a national priority electricity list. Meanwhile, the specific topics and progress of Qatar's mediation remain undisclosed, implying that oil and gas prices could be reshuffled at any time, and the risk premium on the electricity grid side would also be passed on to miners and power-intensive enterprises through electricity costs. In this environment, operators face not only the traditional financial regulatory question of “Is there a license?” but also must simultaneously answer three questions: is energy procurement compliant with local energy policies and electricity quota requirements, do cross-border settlements and equipment imports walk a fine line between sanctions and export controls, and can all of this withstand regulatory accountability amid the next round of geopolitical fluctuations — these variables collectively determine the true cost curve of the computing power industry.

Anthropic Bets on Akamai Cloud Regulation

On the other end, where energy costs and permit red lines continue to rise, demand-side computing power has begun to use "lock-in" contracts as insurance. Akamai Technologies announced that it has signed a seven-year cloud computing agreement with a "leading provider of cutting-edge models," which the market generally identifies as Anthropic, with the agreement amount reported at around $1.8 billion (yet to be further verified). The seven-year binding period far exceeds the typical pay-as-you-go cloud rental window, and is more akin to operating underlying infrastructure as a "power plant" rather than as a "data center," indicating that large model companies view predictable and regulatory-compliant computing power supply as a survival prerequisite, rather than a discretionary cost item. For Akamai, originally focused on content distribution and edge computing, this long-term deal represents a structural shift, pushing it into a computing power oligopoly originally dominated by a few super cloud vendors, an area of utmost sensitivity to regulators concerning concentration and systemic risks.

Choosing Akamai over traditional super cloud providers also alters the responsibility landscape from a regulatory perspective. Within a multi-national framework, cloud service providers are increasingly seen as operators of critical information infrastructure, bound to comply with stricter data localization, third-party auditing, and security incident reporting obligations. When cutting-edge model companies like Anthropic outsource core training and inference capabilities to third-party clouds long-term, regulators are compelled to question: when training data is transmitted across borders, who bears the compliance obligations; once underlying cloud infrastructure is included in the critical infrastructure list, must AI platforms adhere to the same standards for on-site inspections and continuous evaluations; and when algorithm outputs trigger financial, public opinion or security consequences, is the responsibility with the model provider or the hosting party. The emergence of the Akamai model signifies that future cloud service contracts will not be merely commercial terms but will gradually be inscribed with regulatory delineations regarding "who truly controls computing power, and who bears infrastructure risks."

DeepSeek Financial Maneuvering and Compliance Chips

As cloud computing contracts are written into regulatory boundaries, DeepSeek's capital choices have also become a compliance game. Sources close to DeepSeek indicate that its negotiations with Alibaba on specific financing terms did not reach an agreement, partly due to ecosystem compatibility issues between Alibaba's own business and product system and DeepSeek's technology path and customer expectations, and partly because DeepSeek is not lacking potential external investors and desires to retain sufficient flexibility in valuation, control arrangements, and data and technology usage rights, aiming to minimize investment terms with strong constraints. For DeepSeek, bringing in a major platform shareholder is not only a pricing issue, but also raises the question of whether they are willing to accept deep entanglement with the other's risk control framework, traffic entry points, and business rhythm.

Almost simultaneously with news of the breakdown of talks with Alibaba, rumors surfaced that Tencent might subscribe for up to 20% of DeepSeek's shares; although the transaction has not yet been publicly confirmed, it serves as a signal: leading internet platforms are beginning to lock in models and computing power resources in the generative AI competition through equity arrangements, while also using their compliance capabilities as leverage. Under China's large model regulatory framework, algorithm registration, content security, and data cross-border constraints have formed a foundational framework. The stake of a large platform could provide DeepSeek with compliance experience, data governance tools, and safety audit mechanisms, reducing the costs of interfacing alone with regulators, while potentially triggering regulatory "alignment" requirements — being scrutinized against standards nearly equivalent to platform entities for related transactions, data sharing, and market competition behaviors. As more leading shareholders emerge in the capital structure, expectations for DeepSeek's future transparency concerning external disclosures, compliance reports, and business boundary delineation will be heightened. Meanwhile, its insistence on flexibility in financing terms essentially retains its initiative as the intertwining of computing power arms races and tightened regulation occurs.

From Russian Miners to AI Unicorns

Starting from the proposal to introduce Article 171.6 into the Criminal Code in Russia, pushing unregistered mining and unauthorized mining services toward criminal risks, to the long-term cloud computing collaboration between Anthropic and Akamai, and then to DeepSeek's shift to potential shareholders including Tencent after negotiations with Alibaba broke down, these three seemingly disparate clues actually point to the same “computing power red line”: whoever controls large-scale energy consumption and computing power scheduling, becomes subject to closer regulatory scrutiny. Russia incorporates mining into registration and licensing frameworks, citing financial stability and illegal energy consumption; Anthropic, seen as a provider of cutting-edge models, tightly binds its computing arrangements with specific infrastructures through a contract with strong path dependency, where the exit cost will be much higher than just a piece of paper if regulatory environments change; DeepSeek, on the other hand, leverages capital structure restructuring to weigh the ecological and potential regulatory burdens between various stakeholders like Alibaba and Tencent, showing that underlying the equity are re-distributions of data sovereignty, national security, and platform responsibilities. Meanwhile, Qatar's mediation role in US-Iran relations reminds the market that the Middle Eastern situation can still indirectly rewrite the cost curves and regulatory rhythms of mining sites and AI data centers through energy prices. The real change is that regulators are beginning to see energy supply, cloud infrastructure, and shareholder composition as parts of the same risk chain, redrawing the boundaries between crypto mining and the AI industry; and the future uncertainty arises from the official text and effective timing of the Russian bill, the actual execution path of the collaboration between Anthropic and Akamai, DeepSeek's final equity structure, and the trajectory of geopolitical situations, all of which may rearrange the risk landscape of the industry. For miners, AI companies, and platforms, the only controllable pre-actions in this new round of regulatory competition are: to complete registration and filing as soon as possible, ensure that electricity and energy sources are traceable and compliant, cautiously choose cloud services and cross-border infrastructure, and preemptively sort out and disclose shareholder structures to avoid passively becoming regulatory samples while losing negotiation space amid the tightening of the computing power red line.

Join our community, let’s discuss and become stronger together!
Official Telegram community: https://t.me/aicoincn
AiCoin Chinese Twitter: https://x.com/AiCoinzh
OKX Benefits Group: https://aicoin.com/link/chat?cid=l61eM4owQ
Binance Benefits Group: https://aicoin.com/link/chat?cid=ynr7d1P6Z

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。