From June 26 to 27, 2026, a seemingly scattered yet synchronous capital scene lit up simultaneously: in the traditional stock market, GraniteShares announced a leveraged ETF betting on the core AI supply chain company—SK Hynix, doubling the volatility of this leading HBM storage chip maker into a tradable short-term asset on Wall Street; in the secondary cryptocurrency market, according to SoSoValue data, on that day, only the Bitwise Hyperliquid ETF (BHYP) recorded a net inflow of $1.8161 million, raising the historical total net inflow of this system to about $115 million and a total asset net value of about $324 million, continuously providing compliant spot access for crypto assets under the AI narrative; on the longer cycle end, the infrastructure project Canopy, integrating AI and Web3, announced the completion of an $8.5 million seed round financing, with crypto venture capitals such as Arrington Capital and Fenbushi Capital entering the scene, locking the risks into an exit window years later. Leveraged ETFs aimed at public stock investors, spot products aimed at crypto ETF investors, and early equity aimed at VCs and qualified investors all revolved around AI during these two days, piecing together a clear picture: the same AI story is being synchronized in pricing and amplification by different capital with varying risk appetites and time horizons, using financial tools they excel at.

Wall Street Leverages Up: SK Hynix Becomes a New AI Chip

In this path of the stock market, the protagonist chosen by GraniteShares is SK Hynix, considered one of the core players in the AI storage supply chain. In late June, this institution announced that it was not simply tracking a single stock but launching a 2x leveraged ETF targeting SK Hynix (according to a single source), using financial engineering to double the intraday fluctuations of this storage chip giant, specifically serving those Wall Street funds accustomed to telling AI stories through short-range volatility.

SK Hynix itself is one of the world's leading manufacturers of storage chips, directly standing at the crest of the rising demand for AI computing power with high-bandwidth memory products like HBM, becoming a key supplier contended by computing power vendors and cloud service providers. GraniteShares “financialized” this industry position: the demand for high-bandwidth memory in the AI era is packaged as a highly volatile product that can be bought and sold at any time, and traditional stock market investors do not need to understand the HBM production line or shipping cycles; as long as they understand that this is a double-leverage chip around the AI supply chain, they can complete a new round of speculation and allocation on the AI theme within the familiar ETF shell.

Capital Flows Backward: HYPE Spot ETF Shines Alone

Also on the noisy candlestick of June 26, the HYPE spot ETF system on the crypto side presented a different scene: according to SoSoValue data, the total net inflow of the entire system on that day was $1.8161 million, with this entire amount concentrated in the Bitwise Hyperliquid ETF (BHYP), while the net inflow for the other products in the same series was zero. The money did not exit the market; instead, it made an extremely restrained “single-point bet” under the same product architecture, and amidst a general sentiment of waiting and reducing positions, BHYP, as if named, became the only target that saw additional chips on that day.

The $1.8161 million itself is not astonishing, but placing it on a longer timeline changes its meaning: as of June 26, the historical total net inflow of the HYPE spot ETF had accumulated to about $115 million, with a total asset net value of about $324 million, indicating that the increment on this day was just another link in the continuous allocation chain. For native crypto funds, such recently approved spot ETFs like HYPE provide a compliant exposure to specific crypto assets; in the volatile market range, they did not simply retreat back to cash or go short, but continued to search for entry points along AI and the new narrative, ultimately concentrating on BHYP, allowing this product to maintain a continuous allocation to the AI theme amid stagnation and outflows.

VC Bets on Integration Track: Canopy Secures $8.5 Million

While capital in the secondary market continues to shuffle between ETFs, VCs have quietly pressed their chips towards the intersection of technology stacks. In the same time window, Canopy, positioned as the “AI-assisted development layer for Web3 infrastructure,” announced the completion of an $8.5 million seed round financing, with established crypto venture capitals such as Arrington Capital and Fenbushi Capital appearing on the list, signaling with checks: what is truly worth staking a claim is not just readily available AI trends, but the layer that can directly embed AI tools into on-chain infrastructure development processes.

In comparison to the previously mentioned leveraged ETFs and HYPE spot ETFs, the significance of this seed round lies almost at the opposite end of the spectrum. ETFs provide secondary market exposure that can be entered and exited at any time, with fluctuations settled daily; projects like Canopy are typical early-stage equity bets—currently at a high-risk, high-growth expectation seed round, the exit cycle may take years or even longer to calculate. Institutions like Arrington and Fenbushi, which have experienced several crypto cycles, choosing to place bets on the AI + Web3 infrastructure layer at this juncture suggests that some older money is no longer satisfied with chasing the volatility of AI-named trends but is willing to bear the long-term risks of an uncertain answer about “how AI will be used to rewrite the underlying Web3.”

Three Streams of Capital Converging on Different Battlefields of the AI Narrative

The same “AI” mainline was broken down into three distinct risk curves from June 26 to 27. GraniteShares focused on the public stock market, using a storage manufacturer like SK Hynix, which lies at the core of the AI supply chain, as a target, employing a 2x leveraged ETF to amplify intraday fluctuations for short-term Wall Street funds; the HYPE system remained entirely within the realm of crypto assets, bundling related targets such as computing power and infrastructure into tradable shares through the spot ETF and sub-product BHYP, with BHYP recording a net inflow of $1.8161 million on June 26, raising the history total net inflow of HYPE to about $115 million and its total asset net value to about $324 million; Canopy took a third route, securing an $8.5 million seed round, open only to VCs and qualified investors, injecting funds directly into the early-stage equity of “AI-assisted development layer for Web3 infrastructure,” which is still far from the public market.

If we place these three types of products on a coordinate system, they correspond to entirely different time scales and expressions: GraniteShares' leveraged ETF turns the AI storage track into a tool for intraday speculation; HYPE's spot ETFs provide medium-term allocation channels in the native crypto system, allowing funds to enter and exit with emotions and narratives, without directly participating in company operations; the VC battlefield where Canopy resides calculates returns in years for infrastructure construction. They are not three isolated lines: the capital flows between traditional stocks and crypto ETFs form a visible emotional curve, providing a reference for VCs on the “exit discount rate”; the continuous betting by VCs on underlying AI + Web3 projects thus plants seeds for assets that may be tokenized and included in ETF baskets in the future, reshaping the overall cycle of AI assets in the repetitive intersection of these three capital curves.

From High Leverage to Underlying Code: The Next Step in AI Capitalization

When the SK Hynix leveraged ETF from GraniteShares, the HYPE spot ETF system, and Canopy's $8.5 million seed round appeared simultaneously within the same time window, the AI narrative had clearly stepped out of a single battlefield: the same theme can switch risk exposures at any time between Wall Street's 2x leverage, compliant-packaged crypto spot ETFs, and early equity subscriptions by VCs. The future performance of these AI-related assets increasingly depends on whether these three paths resonate or misalign in emotions, liquidity, and technological advancements—leveraged ETFs naturally amplify intraday fluctuations, resembling an instant amplifier for sentiment; HYPE's spot ETFs turn around $324 million in net asset value and about $115 million in historical net inflow into crypto chips that can be entered and exited at any time; while seed round projects like Canopy lock the judgments of VCs from Arrington Capital and Fenbushi Capital into a multi-year bet on AI + Web3 infrastructure. For any participant, it is more crucial to see whether they stand on the amplified intraday noise or the underlying code quantified in years, rather than just monitoring a product’s daily net value curve; only by understanding the time cycles and risk-bearing capacities behind different tools can one proactively choose their position in the next wave of AI capitalization.

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