The doubling of Circle's stock price and the paradigm shift of stablecoins
Author: Chloe, ChainCatcher
In early 2026, the payment industry is witnessing an asymmetric bet. From Circle launching the Arc blockchain and Nanopayments, to Stripe partnering with Paradigm to incubate the payment public chain Tempo and investing $1.1 billion to acquire Bridge, the giants share a common goal: they are no longer designing payment tools for humans, but rather building a new financial track for AI agents.
The logic of this arms race revolves around the idea that as AI agents become the main actors in economic activities, the traditional credit card fees of 2-3% will gradually lose their necessity, being replaced by stablecoin payment protocols with extremely low fees. In February of this year, a lengthy scenario report by Citrini Research predicted the occurrence of this future, leading to a single-day market value evaporation of 5-7% for Visa, Mastercard, and American Express.
Is this an overreaction by the market, or is it capital pricing in future value ahead of time? It is still difficult to conclude. However, there remains a significant gap between ideals and reality: while the x402 protocol's monthly transaction volume is still at $24 million, the global e-commerce market has already ballooned to a staggering $6.88 trillion. It raises the question: is this a layout for a new era, or a breathtaking gamble that overdraws the future?
The arms race in AI payment tracks has begun, but the battlefield has yet to take shape
In early March 2026, Circle CEO Jeremy Allaire revealed a detail: the company completed an internal settlement of $68 million among its eight business entities in just 30 minutes using its own USDC stablecoin, without the assistance of traditional bank wire transfers; by traditional financial standards, a cross-border transfer of the same scale typically takes 1 to 3 business days and incurs expensive bank fees.
This practical result sends a clear signal to the market: the potential of stablecoins as "modern financial infrastructure" cannot be ignored, proving that companies can bypass traditional banking networks to achieve large-scale cross-border or internal fund transfers at low cost and high efficiency.
This is not an isolated case; it is the infrastructure that the crypto industry has accumulated over the past years that is about to start making an impact.
Circle's dual-line strategy focuses on micropayments and agency commerce
Circle's layout demonstrates a clear dual-line strategy: first is Arc, a Layer 1 blockchain that launched its public testnet in October 2025, using USDC as its native gas token. This blockchain features sub-second finality and predictable fees denominated in dollars, precisely addressing the pain point of cost fluctuations caused by on-chain congestion in traditional EVM chains in payment scenarios.
Secondly, there is Nanopayments, which went live in early March this year. This technology supports USDC transfers as low as $0.000001 and completely waives gas fees. By batch settling on-chain, Circle merges thousands of micropayments into a single on-chain operation, reducing the cost per transaction to nearly zero. The collaboration between Circle and OpenMind is also impressive, with a robotic dog named Bits autonomously paying for electricity, symbolizing the concept validation of "agency commerce" and showcasing the potential for robots to transact as independent entities in the physical world.
Stripe's strategic layout focuses on ecosystem scale and integration with traditional finance
Stripe's layout also showcases ambition to the market. In September 2025, Stripe partnered with crypto venture capital firm Paradigm to launch the payment-specific Layer 1 blockchain Tempo, aiming for 100,000 transactions per second and sub-second finality. The architecture of Tempo shares a similar design philosophy with Circle's Arc, both supporting stablecoin payments for gas fees and incorporating automated market makers (AMM) for cross-currency settlements.
However, Tempo's ecosystem partner list also includes top institutions and traditional financial giants like Visa, Mastercard, UBS, OpenAI, and Shopify. On the other hand, considering Stripe's previous acquisition of Bridge ($1.1 billion), the Privy transaction, and the investment in Tempo, Stripe's total investment in the stablecoin infrastructure track is likely to have exceeded $1.5 billion.
How Citrini Research triggered the Black Monday for traditional payment giants
In late February 2026, an independent institution named Citrini Research published a lengthy scenario report on Substack, titled “The 2028 Global Intelligence Crisis”.
The core narrative of the report is: as AI agents begin to make shopping and payment decisions on behalf of consumers at scale, "eliminating transaction friction and costs" will naturally become one of the goals of algorithmic optimization. In the scenario designed by Citrini, by 2027, these agent systems will start bypassing traditional credit card networks, turning to settle in stablecoins on Solana or Ethereum Layer 2, where the cost of a transaction is only a fraction of that in traditional finance.
After the report was released over the weekend, it quickly went viral in the tech and finance circles. By the opening on Monday, February 23, market sentiment began to deteriorate rapidly. On that day, Visa's stock price fell by about 4%, Mastercard dropped over 6%, and American Express saw a decline of nearly 8%, with several institutions primarily focused on credit cards and consumer finance losing hundreds of billions in market value in a single trading day.
As the report was shared by several tech and finance KOLs on social platforms like X, Citrini's originally "risk exercise" macro scenario memo was misread by the market in a short time as a "forthcoming fundamental prophecy," further amplifying concerns about the relationship between AI, stablecoins, and traditional payment networks.
Why stablecoins are the "natural currency" for AI agents
To understand why stablecoin issuers like Circle and payment infrastructure providers like Stripe view betting on "agent-native payments" as the next strategic direction, one must first recognize a key point: when the subject of transactions shifts from humans to AI agents, the design premise of traditional credit card networks begins to loosen.
The high fees and settlement delays of the traditional financial system make it difficult to accommodate the massive micropayments generated by AI agents. Stablecoins, with their extremely low costs and near-instant settlement characteristics, provide an efficient and smooth underlying environment for 24/7 operating AI. Through programmability, AI agents can automatically execute details under budget rules set by humans, achieving automated settlement without a legal identity, becoming the indispensable digital lifeblood in agency commerce.
$24 million vs. $6.88 trillion: the gap between ambition and reality
However, all the technological optimism mentioned earlier is built on one premise: demand will eventually emerge. The current known data supporting this premise remains quite limited.
As an early reference for agent payment standards, the x402 protocol has recorded on-chain data over the past 30 days showing fewer than 100,000 buyers and over 20,000 sellers, with a cumulative transaction volume of about $24 million. In comparison, the global e-commerce market is expected to reach $6.88 trillion in 2026, making $24 million only about 0.00035% of that figure. For a technology expected to "reshape the payment track," it currently resembles more of a concept validation rather than a widely adopted solution.
Even Circle's own USDC exhibits a similar scenario: with a circulation of about $75.3 billion, the quarterly on-chain transaction volume surpassed $11.9 trillion in Q4 2025, but primarily stems from institutional settlements, DeFi protocols, and internal circulation within exchanges. Truly consumer-driven scenarios that can be clearly identified as "agent payments" are nearly impossible to distinguish within this total.
Chris Donat, head of fintech at BWG Global, also points out that it is hard to expect consumers to actively demand stablecoin payments, and retailers lack strong incentives to reconstruct the entire payment system due to this demand gap. The lukewarm demand is not due to inadequate technology, but rather the evolution of user habits and business ecosystems, which has always been much slower than the iteration of infrastructure.
Stripe's approach perfectly reflects this tension: on one hand, it offers a merchant acquiring fee rate of about 1.5% for stablecoin payments in the U.S., which is indeed attractive compared to the nearly 2.9% rate for credit cards; on the other hand, Stripe treats stablecoins as an optional channel, patiently waiting for the regulatory framework to mature, consumer education to be completed, and enough killer application scenarios to emerge, while currently, none of these three conditions are in place.
The gamble of infrastructure first: how to calculate wins and losses?
To understand the current actions of Circle and Stripe, one must frame them in the logic of the infrastructure industry rather than the consumer goods industry. When AWS launched S3 and EC2 in 2006, the demand for cloud computing was almost nonexistent; at that time, no company knew it needed elastic computing resources until the option was available.
Perhaps the pipeline comes before the water flow; this is the basic logic of infrastructure betting.
From this perspective, Circle and Stripe's early investments, whether in R&D spending for Arc, the high financing costs associated with Tempo, or the billion-dollar acquisitions of Bridge-type assets, are more akin to "placement fees" rather than short-term recoverable business investments. They are betting that once the transaction volume related to AI agents climbs from today's tens of millions to the next level, the infrastructure providers that first complete technological validation and regulatory compliance will monopolize the new era's business.
However, the weakness of this logic is that if the arrival of demand is much later than expected, or if the actual form it takes when it materializes is vastly different from current assumptions; for example, if it is ultimately traditional financial organizations like Visa that launch agent-native payment solutions rather than being disrupted by them, then all the pipelines laid out in advance may be viewed as irrecoverable sunk costs in financial reports.
The true contribution of Citrini's report lies not in the accuracy of its predictions, but in forcing the management and investors of the payment industry to seriously confront a question: when the decision-makers of transactions shift from humans to software, every seemingly solid premise in existing business models must be revalidated.
You may also like

From x402 to MPP: Cloudflare's crucial vote, will it go to Coinbase or Stripe?

BlackRock CEO issues annual open letter: The wave of tokenization has arrived, and we will lead this trend

When Backpack backstabs the community

When gold is no longer a safe haven, and Bitcoin continues to panic

Trump, the World's Largest Oil Trader

If the US and Iran have not reached an agreement in 5 days, what other cards does Trump have?

Tether Whale Dumps £12 Million, Backing Crypto’s ‘British Trump’

Ethereum Foundation Post: Rethinking the Division of Work Between L1 and L2 to Build the Ultimate Ethereum Ecosystem

Two Major Prediction Market Platforms Unite Rarely, What Is the Story Behind This New Fund?

Dragonfly Partners: Most agents will not engage in autonomous trading, how can crypto payments prevail?

US AI Startup Goes All In on Chinese Mega-Model | Rewire News Morning Brief

Trump Lies Again: A "Five-Day Pause" Psyop, How Wall Street, Bitcoin, and Polymarket Insiders Synced Uposciogen

When a Token Becomes Labor, People Become the Interface

Ceasefire News Leaked Ahead of Time? Large Polymarket Bets on Outcome Before Trump's Tweet

BlackRock CEO's Annual Shareholder Letter: How is Wall Street Using AI to Keep Profiting from National Pension Funds?

Sun Valley Releases 2025 Financial Report: Bitcoin Mining Revenue Reaches $670 Million, Accelerating Transformation to AI Infrastructure Platform
On March 16, 2026, in Dallas, Texas, USA, CanGu Company (New York Stock Exchange code: CANG, hereinafter referred to as "CanGu" or the "Company") today announced its unaudited financial performance for the fourth quarter and full year ended December 31, 2025. As a btc-42">bitcoin mining enterprise relying on a globally operated layout and dedicated to building an integrated energy and AI computing power platform, CanGu is actively advancing its business transformation and infrastructure development.
• Financial Performance:
Total revenue for the full year 2025 was $688.1 million, with $179.5 million in the fourth quarter.
Bitcoin mining business revenue for the full year was $675.5 million, with $172.4 million in the fourth quarter.
Full-year adjusted EBITDA was $24.5 million, while the fourth quarter was -$156.3 million.
• Mining Operations and Costs:
A total of 6,594.6 bitcoins were mined throughout the year, averaging 18.07 bitcoins per day; of which 1,718.3 bitcoins were mined in the fourth quarter, averaging 18.68 bitcoins per day.
The average mining cost for the full year (excluding miner depreciation) was $79,707 per bitcoin, and for the fourth quarter, it was $84,552;
The all-in sustaining costs were $97,272 and $106,251 per bitcoin, respectively.
As of the end of December 2025, the company has cumulatively produced 7,528.4 bitcoins since entering the bitcoin mining business.
• Strategic Progress:
The company has completed the termination of the American Depositary Receipt (ADR) program and transitioned to a direct listing on the NYSE to enhance information transparency and align with its strategic direction, with a long-term goal of expanding its investor base.
CEO Paul Yu stated: "2025 marked the company's first full year as a bitcoin mining enterprise, characterized by rapid execution and structural reshaping. We completed a comprehensive adjustment of our asset system and established a globally distributed mining network. Additionally, the company introduced a new management team, further strengthening our capabilities and competitive advantage in the digital asset and energy infrastructure space. The completion of the NYSE direct listing and USD pricing also signifies our transformation into a global AI infrastructure company."
"As we enter 2026, the company will continue to optimize its balance sheet structure and enhance operational efficiency and cost resilience through adjustments to the miner portfolio. At the same time, we are advancing our strategic transformation into an AI infrastructure provider. Leveraging EcoHash, we will utilize our capabilities in scalable computing power and energy networks to provide cost-effective AI inference solutions. The relevant site transformations and product development are progressing simultaneously, and the company is well-positioned to sustain its execution in the new phase."
The company's Chief Financial Officer, Michael Zhang, stated: "By 2025, the company is expected to achieve significant revenue growth through its scaled mining operations. Despite recording a net loss of $452.8 million from ongoing operations, mainly due to one-time transformation costs and market-driven fair value adjustments, the company, from a financial perspective, will reduce its leverage, optimize its Bitcoin reserve strategy and liquidity management, introduce new capital to strengthen its financial position, and seize investment opportunities in high-potential areas such as AI infrastructure while navigating market volatility."
The total revenue for the fourth quarter was $1.795 billion. Of this, the Bitcoin mining business contributed $1.724 billion in revenue, generating 1,718.3 Bitcoins during the quarter. Revenue from the international automobile trading business was $4.8 million.
The total operating costs and expenses for the fourth quarter amounted to $4.56 billion, primarily attributed to expenses related to the Bitcoin mining business, as well as impairment of mining machines and fair value losses on Bitcoin collateral receivables.
This includes:
· Cost of Revenue (excluding depreciation): $1.553 billion
· Cost of Revenue (depreciation): $38.1 million
· Operating Expenses: $9.9 million (including related-party expenses of $1.1 million)
· Mining Machine Impairment Loss: $81.4 million
· Fair Value Loss on Bitcoin Collateral Receivables: $171.4 million
The operating loss for the fourth quarter was $276.6 million, a significant increase from a loss of $0.7 million in the same period of 2024, primarily due to the downward trend in Bitcoin prices.
The net loss from ongoing operations was $285 million, compared to a net profit of $2.4 million in the same period last year.
The adjusted EBITDA was -$156.3 million, compared to $2.4 million in the same period last year.
The total revenue for the full year was $6.881 billion. Of this, the revenue from the Bitcoin mining business was $6.755 billion, with a total output of 6,594.6 Bitcoins for the year. Revenue from the international automobile trading business was $9.8 million.
The total annual operating costs and expenses amount to $1.1 billion.
Specifically, they include:
· Revenue Cost (excluding depreciation): $543.3 million
· Revenue Cost (depreciation): $116.6 million
· Operating Expenses: $28.9 million (including related-party expenses of $1.1 million)
· Miner Impairment Loss: $338.3 million
· Bitcoin Collateral Receivable Fair Value Change Loss: $96.5 million
The full-year operating loss is $437.1 million. The continuing operations net loss is $452.8 million, while in 2024, there was a net profit of $4.8 million.
The 2025 non-GAAP adjusted net profit is $24.5 million (compared to $5.7 million in 2024). This measure does not include share-based compensation expenses; refer to "Use of Non-GAAP Financial Measures" for details.
As of December 31, 2025, the company's key assets and liabilities are as follows:
· Cash and Cash Equivalents: $41.2 million
· Bitcoin Collateral Receivable (Non-current, related party): $663.0 million
· Miner Net Value: $248.7 million
· Long-Term Debt (related party): $557.6 million
In February 2026, the company sold 4,451 bitcoins and repaid a portion of related-party long-term debt to reduce financial leverage and optimize the asset-liability structure.
As per the stock repurchase plan disclosed on March 13, 2025, as of December 31, 2025, the company had repurchased a total of 890,155 shares of Class A common stock for approximately $1.2 million.

The US AI Startup Is Loving China's Open Source Model

