In July 2026, capital placed a heavy bet on AI along the same timeline: on one side, SambaNova secured a $1 billion Series F round led by General Atlantic, pushing its valuation to approximately $11 billion, while JPMorgan planned to officially include "AI infrastructure" in institutional asset allocation lists after announcing its inference system; on the other side, Temasek provided a long-term roadmap at the sovereign fund level to raise the proportion of AI-related assets from about 6% to 15% by 2031, backed by a structural rewriting of a roughly $400 billion portfolio. Simultaneously, the on-chain address 0x9dc…f302d opened about $30.81 million in long positions on the leveraged token SKHX linked to SK Hynix, already showing a floating profit of over $1 million, while another address considered smart money closed 8,400 SKHX long positions near $1,510, shifting to hold Micron's positions with floating losses. During the same period, Rocket Lab founder Peter Beck also cashed out approximately $286 million by selling 3.2758 million shares. Together, these moves from the primary market to sovereign funds, then to high leverage on-chain positions and tech founders reducing their stakes, reveal that the macro variable truly being transformed is not whether "AI is good," but rather the redistribution of venture capital between tech stocks, AI infrastructure, and crypto assets: As the AI narrative siphons off chips simultaneously in equities and on-chain derivatives, high beta risk assets such as BTC and ETH face not only valuation correlation issues but also whether funding is being squeezed out or is forming a new round of pricing games between tech and on-chain assets.
SambaNova Ignites AI Infrastructure Financing
The $1 billion Series F round officially propelled SambaNova from a "story-driven startup" into the main battlefield of institutional capital: valuing it at approximately $11 billion with General Atlantic leading the round, this combination resembles mature infrastructure assets rather than early-stage tech stock wagers. More critically, JPMorgan plans to employ its AI inference system, filling the most scarce puzzle piece for this AI infrastructure company—validation in Wall Street scenarios. When top PE firms and the largest global investment bank converge on the same name, the market reads not just a single project's success but a clear signal: computing power and the inference layer are becoming new "must-have" items in institutional risk budgets.
On a macro level, what is being rewritten is the risk premium structure of tech assets. High valuation financing for SambaNova against the backdrop of an already expensive U.S. tech sector effectively tells capital that they are willing to pay higher prices for enterprise-grade AI infrastructure, accept greater volatility, and swap future cash flows and market monopoly potential for optionality. For assets like BTC and ETH, which have been highly correlated with high beta tech stocks in recent years, this re-pricing of premiums brings a subtle squeeze—both targeting risk and betting on growth, capital can opt for AI infrastructure backed by demand anchored by JPMorgan or choose on-chain assets with uncertain cash flows but possessing liquidity premiums. This financing for SambaNova effectively raises the "threshold yield" of tech risk assets, compelling BTC and ETH to reprove their relative attractiveness within the same risk pool.
Temasek Bets on Anthropic and OpenAI
If SambaNova's financing is raising the "threshold yield" of tech risk assets, Temasek's actions are rewriting the asset allocation rules for all risk assets. According to a single source, Temasek disclosed that its approximately $400 billion portfolio already holds equity in Anthropic and OpenAI, explicitly stating that by 2031, it aims to increase the proportion of AI-related assets from roughly 6% to 15%. This is not a tactical trade but a strategic goal written into the balance sheet: over the next five to ten years, sovereign funds will systematically lock away more capital in AI company equity and related assets.
When such sizable sovereign funds adjust their tech allocations, passive capital and index systems will follow suit in reshuffling weights, elevating the "core position" of high beta tech within the global risk asset structure. The question is that BTC and ETH are also viewed as high-risk or alternative assets within the vast majority of asset allocation frameworks, inherently competing for the same risk budget as growth tech. When long-term funds like Temasek raise the target weight for AI from 6% to 15%, unless the overall risk asset pool expands concurrently, it implies that other high-risk exposures must be compressed, including mid- to long-term allocations for BTC and ETH. The funding squeeze effect will likely first manifest in weakened structural buy orders—where crypto assets are seen more as tactical trading tools than as strategic allocations alongside AI equity. This shift in weight will become a key variable for judging on-chain risk preferences in the coming years.
On-Chain Battle Over AI Semiconductors and Smart Money Retreat
While institutions like Temasek and SambaNova inscribe AI weights into their asset allocation manuals, on-chain funds are also betting on the same main line in their own ways. The address 0x9dc…f302d once again leveraged up on platforms like Hyperliquid, opening a position with approximately $30.81 million in long SKHX, currently showing a floating profit of about $1.127 million—even though it previously suffered a loss of around $4.42 million due to long positions in SK Hynix, this address still chose to double down on the AI semiconductor logic, using larger stakes to amplify the same risk exposure. SKHX, as a leveraged token linked to the price of SK Hynix, effectively condenses the AI semiconductor sentiment from traditional markets into a high beta tool on-chain. This ongoing increment is akin to actively raising the weight of the "AI chip factor" within the overall risk asset pool, rather than allowing more space for other segments like BTC and ETH.
In contrast, another address identified as smart money opted to close 8,400 SKHX long positions near a price of approximately $1,510.3 while retaining its Micron positions, incurring floating losses of about $656,000. This operational logic is not about continuing to chase high leverage profits on-chain but instead involves cutting off the most sensitive and easily amplified AI semiconductor derivatives first, then gradually digesting the losses on traditional equities, reflecting a meticulous approach to managing drawdown and risk paths. The outcome is that, centered around AI semiconductors, one type of capital is continuously increasing leverage exposure on-chain, while another type begins actively shrinking synthetic equity exposure, effectively locking risk within more controllable assets. The divergence of styles on SKHX reflects a more significant structural change: as AI chips and related equity become the core narrative of the new cycle, crypto funds must either accept that they are merely the "leverage extension of AI trading" or choose to withdraw from this link and reassess the marginal value of BTC and ETH within the overall risk portfolio. The direction of risk preference in the next phase will largely be determined by the ebb and flow of these two capital styles.
Founders Cashing Out Tech Stocks as a Warning
At the same time that institutions are aggressively adding exposure from SambaNova to the AI semiconductor chain, the tech sector internally displayed a completely opposite action: Rocket Lab founder Peter Beck liquidated his stakes. According to public data, he sold 3.2758 million shares of Rocket Lab at an average price of about $87.43, cashing out nearly $286 million—a significant reduction for an executive-level founder. The reasons for the reduction have not been disclosed, but amid soaring sentiments related to tech and AI, the choice of core founders to realize hundreds of millions in returns in the secondary market will inherently be interpreted by the market as an attitude toward the current valuation position, rather than ordinary employees exercising options as a benefit.
This founder cashing out stands in stark contrast to sovereign funds and large institutions continuously directing capital toward the AI sector: Temasek plans to raise the proportion of AI-related assets from about 6% to 15% by 2031, while companies like SambaNova can still secure a $1 billion Series F financing in mid-2026, valuing around $11 billion. This indicates that top-down configured funds are nonetheless raising the capital pricing in tech and AI; yet within this price increase curve, those who hold the most information about the companies begin to liquidate profits at intervals. Historical experience tells us that founder reductions often accompany high valuations, transitioning future expectations from "extremely optimistic" to "needing more caution." For crypto assets, such internal profit-taking seems more like an early signal of a turning point in risk appetite: once the high-position chips in tech stocks are gradually realized by founders and early shareholders, the overall beta demand for risk assets may shrink downwards from tech stocks, and high beta assets like BTC and ETH often experience more severe volatility and drawdowns as risk appetite cools. The timing of founder cash-outs of tech stocks may well become a critical observation variable for determining whether the next round of crypto market volatility intensifies.
Post-AI Gold Rush Crypto Trading Map
Putting SambaNova’s $1 billion Series F round, Temasek’s systematic increase of AI allocation within a $400 billion portfolio, the on-chain address 0x9dc…f302d betting $30.81 million long on SKHX against SK Hynix, and Peter Beck cashing out $286 million in Rocket Lab at high levels on the same timeline, the mid-2026 wave of AI’s capital absorption has formed a panoramic closure from the primary market, sovereign capital to high leverage on-chain positions and founder stakes. The concentration of funds on AI and tech assets is not only transforming traditional growth stocks into new "core positions" but also subtly altering the relative roles of BTC and ETH in the global risk asset portfolio: they are gradually viewed by some capital as satellite assets around the AI center, with incremental funds either being directly funneled into foundational stories like SambaNova or only seeking on-chain derivative leverage like SKHX linked to semiconductors, while maintaining a shorter cycle and more hedging-focused position structure on mainstream coins. In this landscape, what truly matters in crypto trading is not simply betting on whether "AI concept coins will surge," but continuously tracking the dynamic changes in the correlation between AI and mainstream crypto assets, the rhythm of capital rotations between tech and on-chain, and how the AI narrative reshapes the on-chain capital distribution among spot, leveraged tokens, and derivatives, as these three will collectively determine whether the next phase of BTC and ETH volatility follows tech valuation corrections or emerges as an independent structural market trend during the re-pricing of the risk landscape.
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