In the past week, news about crypto, AI, and macroeconomic and geopolitical events seemed like multiple knots twisted on a single rope: on one end, direct financial actions like those of Hyperliquid— as a derivatives platform, it repurchased and destroyed approximately 130,870 HYPE tokens in seven days, totaling about $7.65 million at an average price of around $58.45, adding an optimistic tone of “visible cash flow” to the crypto sector through a narrative of deflation and value maintenance; on the other end, SBI Holdings-controlled crypto market maker B2C2 is seeking to sell equity at a valuation exceeding $1 billion, while U.S. stock index futures rose, Morgan Stanley raised its target price for Intel, and NVIDIA's Jensen Huang declared that the chip industry needs to expand five to ten times in scale driven by AI demand— all these factors are heating up sentiments in technology and AI assets. However, alongside the narrative of "AI perpetual prosperity," there are reminders from Bank of America’s strategy chief about the current stock market being overly reliant on the assumption of “everything is perfect,” along with Fields Medal winner Jacob Zimmerman joining OpenAI and bluntly stating that traditional mathematical careers are being rewritten, as well as top academic institutions participating in AI risk research reflecting structural unease. Furthermore, the EU included 14 crypto platforms and cross-border crypto payment networks in its 21st round of sanctions against Russia, and India requested GitHub to remove BitChat code, showcasing an upgrade in regulatory scrutiny of technological channels, while U.S. military warehouses in Saudi Arabia faced drone attacks, with Iran releasing related satellite images, escalating tensions in the Middle East. In such a tumultuous week, crypto assets are viewed both as high-risk growth targets and as potential hedging tools amid geopolitical and regulatory shocks, leading the market to oscillate between chasing optimistic pricing and hedging against systemic risks; the tug-of-war between risk appetite and hedging sentiments has become the defining background of this market cycle.

Repurchase and Destruction vs. Valuation Obstruction: The Two Sides of Crypto Market Making

At the intersection of the tug-of-war between risk appetite and hedging sentiment, Hyperliquid chose to respond to market unease in the most direct way: in the past week, as a derivatives trading platform, it continuously repurchased and destroyed around 130,870 HYPE tokens from the open market, utilizing approximately $7.65 million, with an average repurchase price locked around $58.45. Repurchase and destruction mean that circulating chips are permanently withdrawn, making the remaining tokens more "scarce" on paper, while the average price as a clear number is almost written as a reference baseline that the project party is willing to pay for long-term value. This regular or periodic repurchase mechanism is inherently a deflationary narrative— the platform uses real money to counter secondary market fluctuations, delivering a visible financial action to affirm "we believe in our token," allowing funds swaying under macroeconomic and regulatory winds to see a measurable support signal.

In contrast to this strategy that paints a "value moat" with numbers, the awkward pricing of the market maker's assets is notable. The renowned crypto market maker B2C2, controlled by SBI Holdings, is seeking to sell equity with a target valuation raised to over $1 billion. This number stands out among crypto liquidity providers but also raises the entry threshold for potential buyers in reality. The importance of market makers in the market need not be elaborated upon, but when it transitions from an "omnipresent counterparty" to an asset needing to be grounded, high valuation becomes not merely a badge of honor but an obstacle to achieving a transaction. One is a token that can adjust expectations instantaneously through repurchase and destruction, while the other is a market maker asset that plays a key role yet is not easily liquidated in the secondary market; the divergence between crypto market making and trading platforms is becoming increasingly apparent: funds are more willing to offer quick feedback for tokens with a deflationary story and pricing anchor, yet become cautious in front of infrastructure-type assets that carry high valuations and are difficult to monetize— this disparity itself reflects the current shifts in risk appetite.

Rising Futures and AI Optimism: Concerns Behind the Chip Frenzy

Market sentiment has already provided answers on the U.S. stock futures front. Stock index futures like the S&P have recently risen, with optimism about technology and AI sectors almost inscribed in the prices: in the past week, all narratives connected to computing power, models, and chips have been revalued. NVIDIA CEO Jensen Huang openly stated that under AI demand, the chip industry will not face a recession for a while and even requires expansion of five to ten times the current scale to meet the appetites for computing power. Almost simultaneously, Morgan Stanley raised Intel's target stock price from $75 to $84, reintroducing an established chip manufacturer into the narrative of "AI infrastructure," allowing old assets to gain a premium under a new storyline, while the chip sector displayed almost linear optimism under the dual support of futures and target prices.

Yet, behind this upward curve, some have begun to calculate the slope downward. Sebastian Raedler, head of European stock strategy at Bank of America, warns that the current stock market pricing is based on the assumption of "everything is perfect"—continuous AI growth, regulators not hitting the brakes, smooth chip expansion, and terminal demand following the plan; without any missing links, current valuations can be sustained. If any link deviates, the AI investment boom might backfire: valuation adjustments would not just stop at a few leading stocks but would transmit along the risk appetite chain to the broader market. In the past few cycles, crypto assets have formed a certain correlation with high-beta technology stocks; when the optimism surrounding chips and AI is corrected, the chain reaction from futures to spot, then from tech stocks to the crypto market, could once again become part of risk exposure.

Fields Medal Winner Joins OpenAI: Academic Interest in AI Risk Research

While funds are leveraging positions in the chip and AI sectors, another invisible migration is occurring: the world's top mathematical talents are beginning to leave traditional academic paths for the forefront of modeling and risk research. This week, newly-minted Fields Medal winner Jacob Zimmerman announced his joining of OpenAI; this move isn't merely a personal career choice but more like a sign of the times. The Fields Medal is regarded as one of the highest honors in mathematics, yet shortly after winning it, the winner is "pushed" towards a commercial company. Zimmerman's only simple reasoning was—“the world is changing”; he even bluntly states that traditional mathematical careers will not exist in their current form in the future.

Behind this seemingly abstract statement lies a reallocation of elite intellectual resources towards the issue of AI safety. OpenAI has been continuously recruiting top talent from academia over the past two years, not just to create stronger models, but also to expand the boundaries of safety and risk control in theoretical and engineering realms. The inclusion of mathematicians like Zimmerman signifies that the company no longer views "safety" as an afterthought, but instead needs to establish a more robust foundation in provability, extreme scenarios, and systemic risks. In line with this trend, institutions like MIT and the University of Queensland have joined multiple AI risk-related research projects, with scholars from mathematics, computer science, and other disciplines starting to collaborate on the same list of issues: how do models lose control under extreme conditions, how do complex systems accumulate risks unnoticed, and what chain reactions could these technologies provoke on a societal level.

Capital markets are betting on expansion and growth curves, while individuals like Zimmerman entering OpenAI, alongside efforts from MIT and the University of Queensland in AI risk research, are attempting to predict the extremes and instabilities of this curve. The two logics are pulling at each other, pushing AI from a mere "next-generation productivity" narrative towards a high-risk technology story co-written by industry and academia.

EU's 21st Round of Sanctions Directly Targets Crypto Channels and 14 Platforms

As academia begins discussing extremes and instabilities, regulators are also setting boundaries on technology in their own way. The EU's 21st round of sanctions against Russia genuinely focuses on on-chain assets and cross-border crypto payment networks for the first time: 14 crypto-related platforms have been directly included in the sanctions text, no longer just abstract “high-risk sectors.” This round of measures sets restrictions on specific anchored asset tokens and cross-border crypto payment channels, with a clear logic—block the Russian side from bypassing traditional financial sanctions through on-chain accounts and crypto channels. For these platforms, this not only means re-evaluating and cutting back services to Russia but also indicates that if compliance strategies are vague, they may be subjected to secondary sanctions, as technological nodes for the first time enter operational considerations as “geopolitical risk exposures.”

For cross-border capital flows, the EU's action introduces a new gate at the channel level. Funds that used to traverse between different jurisdictions through crypto channels now face more identity verifications, transaction screenings, and regional blockades, forcing the Russian side’s evasion paths previously scattered across various on-chain accounts and payment networks to contract. Simultaneously, India’s cybercrime coordination center requesting GitHub to ban BitChat-related codes complements the same trend from a different dimension: even open-source software will be viewed as a pathway that should be cut off if deemed capable of providing the infrastructure for cybercrime or money laundering. Different jurisdictions are taking varied actions, each with different rhythms, yet all tightening the compliance environment for cross-border funds and privacy tools, with the formerly relied-upon “technological neutrality” buffer zone in the crypto world narrowing, compelling industry participants to reposition their risks and roles along this tightening trajectory.

Middle Eastern Tensions and Resurgence of Hedging Sentiment in the Crypto Market

As regulatory and compliance channels continue to tighten, U.S. military warehouses in Saudi Arabia faced drone attacks, followed by Iran promptly releasing related satellite images, again bringing the already tense situation in the Middle East to the forefront. Uncertainties in energy supply are being reintroduced into pricing, with oil price expectations rising and the old narrative of declining global risk appetites beginning to replay. Historical experience tells us that whenever geopolitical risks escalate, narratives of safe-haven assets will quickly be retrieved by the market; in the eyes of some investors, cryptocurrencies such as Bitcoin are seen as both high-volatility growth targets and, at certain points, as hedging tools, this identity mismatch causes funds to frequently switch between “increasing positions in technology and AI” and “seeking alternative hedges.” This week, Hyperliquid repurchased and destroyed approximately 130,870 HYPE tokens in seven days, amounting to about $7.65 million at an average price of around $58.45, reinforcing the platform's value maintenance story with a tangible deflationary action; B2C2 is seeking to sell equity at a target valuation of over $1 billion, reflecting the unevenness in the liquidity provider landscape of the market making domain; U.S. stock index futures rose, Morgan Stanley raised Intel's target price, and NVIDIA’s CEO proclaimed the need for the chip industry to expand five to ten times, contrasting with U.S. Bank's strategist reminding that current valuations are based on the assumption of “everything is perfect”; the EU's 21st round of sanctions against Russia for the first time includes 14 crypto platforms and cross-border payment channels, while India demands GitHub to ban BitChat code, coupled with top scholars flocking to AI risk research at OpenAI, MIT, and the University of Queensland, all these macro, industrial, regulatory, and geopolitical threads overlapped within a week, pushing up imagination around AI and crypto while simultaneously amplifying sensitivity to systemic risks. In such a tension field, market sentiment is no longer simply a direction of euphoria or panic but oscillates amid multiple narratives of repurchase and valuation stories, AI optimism and regulatory tightening, geopolitical tensions and hedging impulses, indicating that the next stage of crypto asset markets is more likely to exhibit dramatic volatility driven by narrative shifts, rather than extending smoothly along a linear optimistic path.

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