On July 9, 2026, four seemingly unrelated signals appeared on the same day: the Hong Kong stock market's chip sector surged collectively, with Chipwise Holdings (02166.HK) rising nearly 16%, and both Hua Hong Semiconductor (01347.HK) and Semiconductor Manufacturing International Corporation (00981.HK) having gains exceeding 10%; almost simultaneously, market maker Wintermute announced it had executed its first power forward contract, referencing the Nvidia H100 price, and candidly stated on platform X that computing power was becoming an independent market requiring accompanying pricing and hedging tools; on-chain credit protocol Maple released governance proposal MIP-021, determining monthly revenue segmentation for the protocol, repurchasing SYRUP at a rate of 10% if monthly revenue was below $1.5 million, increasing to 20% for revenue between $1.5 million and $2 million, and raising it to 30% for revenue exceeding $2 million; the decentralized AI protocol Prime Intellect simultaneously disclosed it had completed a $130 million Series A financing round, led by Radical Ventures, with participation from NVIDIA Ventures, Intel Capital, Dell Technologies Capital, and other tech capital. These four clues collectively sketch a main line that is taking shape: computing power is extending from the chip production capacity on publicly listed company balance sheets, to hedgeable financial contracts, and to decentralized protocols that tightly lock real income and token value together, systematically packaged as measurable, tradable, and distributable cash flow assets, marking the beginning of a new game around computing power and its income ownership unfolding simultaneously between the traditional markets and the on-chain world.
Hong Kong Stock Market Chip Surge: Computing Power Story Returns to Spot Market
According to AiCoin data, during the trading session of July 9, 2026, the chip sector suddenly took center stage on the Hong Kong stock market. Chipwise Holdings (02166.HK) soared, closing with a nearly 16% increase; Hua Hong Semiconductor (01347.HK) and Semiconductor Manufacturing International Corporation (00981.HK) closely followed, each rising over 10%. On the quote screen, a string of familiar semiconductor codes was uniformly painted bright green; terms like "capacity" and "process" that were previously recorded in financial reports were, on this day, once again treated as directly bettable computing power targets, serving as the most intuitive carriers for optimistic expectations from funding. It is worth emphasizing that public materials have not provided specific triggering factors such as policy, financial reports, or industry news, and no single event can currently be observed driving this collective surge.
These listed companies, viewed as "carriers of computing power and semiconductor capacity," are the kind of infrastructure that traditional market participants are most accustomed to understanding: expansion of wafer fabs, depreciation of equipment, iteration of process nodes—all are factored into stock prices, constituting an indirect bet on future AI computing power demand. Concurrently, market makers have initiated the first power forwards in the OTC market based on the pricing of Nvidia H100; on-chain protocols are attempting to use real monthly revenues to buy back governance tokens, binding cash flow and token value together, with the same computing power narrative being split into three distinctly different representations: stocks, contracts, and protocols. In this context, the rise of Hong Kong stocks in the chip sector resembles a strong echo of the narrative of computing power assetization at the spot market, rather than a result that can simply be attributed to a single positive event.
Wintermute Locks in Nvidia H100 for Power Forward
At the same time that Hong Kong chip stocks surged, market maker Wintermute wrapped computing power in a layer of "financial shell": they completed their first power forward transaction, clearly specifying the market pricing of Nvidia H100 as a reference in the contract. Details such as counterparties, scale, and duration have not yet been disclosed, but anchoring pricing to H100 itself is a key signal—computing power is no longer just a GPU inside a data center; it is now an independent asset that can be split, tagged, and written into contract terms. Wintermute subsequently emphasized on platform X that computing power is becoming an independent market, with pricing and hedging tools beginning to emerge around it, this public statement brought what was previously latent institutional exploration to the forefront.
The core logic of power forwards lies in directly binding the GPU hardware supply over a future period with current financial contracts: the parties involved in the contract lock in pricing, available computing power, and delivery paths around high-end chips like the H100, making computing power itself a tradeable, settled, and hedged asset. From a market structure perspective, when professional market makers like Wintermute start to participate in the design and trading of computing power derivatives, one end provides more nuanced risk management tools for suppliers and demanders of computing power, while the other end may establish a new price transmission chain between traditional stocks, OTC contracts, and on-chain protocols. However, how these power forwards correspond to the short-term sentiment in the Hong Kong chip sector currently lacks public data support; they more so point in the same direction: computing power is being viewed as an asset that can be independently priced and financialized, the specific linkage mechanism of this process awaits further observation.
Prime Intellect Secures $130 Million for AI Foundation
Simultaneously with the pricing of computing power in financial contracts, the decentralized AI protocol Prime Intellect announced it had completed a $130 million Series A financing round, directly betting on the foundational infrastructure of computing power and models. This round of financing was led by Radical Ventures, with participation from several traditional technology giants including NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, almost covering the entire chain from chips to complete systems to enterprise-grade technical services. Public information has not disclosed Prime Intellect’s valuation, intended use of funds, and token distribution plans, leaving external observers to judge the direction and weight of this funding solely from the list of institutions and the market positioning.
If Wintermute’s forward contracts referencing the Nvidia H100 are seen as providing capital tools for pricing and hedging computing assetization, then Prime Intellect appears more like a decentralized protocol on the upstream side of computing power and models, placing its bets on the organizational method of future computing networks and AI infrastructure. The willingness of traditional hardware and technology capitals like NVIDIA, Intel, and Dell to engage at this level at least suggests they recognize a direction: not only should computing power be tradeable and hedged, but also the underlying networks carrying computing power and models should possess open and composable protocol forms, jointly supporting the transition of computing power from a factor of production to a sustainable asset shape through both capital and tools.
Maple’s Revenue-Linked Buyback Experiment for Token Dividends
Along the same timeline where computing power is packaged as forward contracts and AI networks are packaged as equity stories, the on-chain credit protocol Maple has chosen to start its experiment from cash flow. It released governance proposal MIP-021, introducing a regulated buyback mechanism that directly writes the protocol's monthly income into the SYRUP buyback formula: when the protocol's monthly revenue is below $1.5 million, only 10% of that income is used to buy back SYRUP on the secondary market; when monthly income is between $1.5 million and $2 million, the buyback ratio increases to 20%; and once monthly income exceeds $2 million, the buyback ratio further increases to 30%. This tiered design provides token holders with a clear expected anchor regardless of what income tier they are in— the more the protocol earns, the more vigorous the buyback. The current voting status and formal effective time of this proposal have not yet been disclosed.
The logic of revenue-linked buybacks aims to directly convert verifiable on-chain cash flow into long-term chips for governance tokens. As an on-chain credit protocol, Maple rewards holders using real income rather than simply issuing new tokens, making SYRUP more like an asset entitled to claim from protocol operations. Thus, the interests of the protocol party and token holders are bound to the same revenue curve. Looking alongside the path of computing power assetization, on one end computing power is split into forward contracts and treated as tradeable and hedgeable assets by market makers and institutions; on the other end, protocols like Maple guide the income generated from on-chain credit business into governance token buybacks according to rules, packaging abstract protocol risks and concrete cash flows into chips that can be held long-term. This design is quietly pushing the boundary of "how income becomes an asset" into the on-chain world.
The Next Step for Computing Power Assetization and On-Chain Finance
From the collective rise of the Hong Kong chip sector around July 9, 2026, to the front-stage introduction of power forward contracts referenced to the Nvidia H100 by market maker Wintermute, and then to Prime Intellect securing $130 million in financing and Maple attempting to bind SYRUP holders’ interests with tiered income buyback, these clues point to a common main line: computing power itself and the cash flows generated around it are being rapidly split, priced, and financialized. Traditional equity carries manufacturing and supply capacity expectations, while OTC computing power contracts begin to provide hedging and pricing benchmarks for future computing deliveries; on-chain governance tokens, through income buyback mechanisms, repackaging the real cash flows of protocol operations into financial assets that can be held. These three carriers form divisions of labor under the same narrative, with potential cyclical linkages. However, current public information shows a lack of quantitative on-chain indicators to prove a direct causal relationship between the rise of Hong Kong chip stocks, power forward transactions, and decentralized AI financing; they appear more as different responses to the theme of "computing power assetization" within the same time window. Moving forward, whether computing power forward tools can form considerable scale and a richer term structure among institutions, whether decentralized AI protocols like Prime Intellect can successfully implement their products and computing networks as planned, and whether the final voting outcomes of Maple MIP-021 will promote the replication and evolution of more on-chain income buyback mechanisms will become key variables to observe the next steps for computing power assetization and on-chain finance.
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