On August 26, 2026, against the backdrop of gold falling below $4,600 per ounce, high U.S. Treasury yields remaining elevated, and global risk assets being repriced, BMO Capital Markets chose this moment to initiate coverage on Broadcom for the first time, giving it an "outperform" rating and a target price of $455, which itself is a directional bet. The analyst responsible for the report, Harsh Kumar, positioned Broadcom as the world's second-largest AI chip supplier after NVIDIA, emphasizing its leading position in custom AI ASICs and networking — that is, Broadcom was given a higher premium narrative in the two main lines of new economic infrastructure: computing power and networking. Macroeconomically, high interest rates diminished gold's safe-haven appeal but prompted funds to be willing to pay valuation premiums for tech assets with long-term growth stories; microscopically, an "outperform" research report often triggers a round of repricing for the entire AI chip chain at the institutional level. When technology stock sentiment is reignited under this catalyst, crypto assets in the high beta asset basket will be incorporated into the risk preference along with factor associations and thematic links, bringing new marginal attention and tentative accumulation for BTC and ETH as funds rotate between gold, U.S. Treasuries, and tech stocks.

AI Chip Duopoly: The Computing Power Narrative of NVIDIA and Broadcom

In the context where computing power is viewed as a key infrastructure asset of the new economic era, the roles of NVIDIA and Broadcom have begun to clarify: the former meets most “plug-and-play” training and inference demands using general-purpose GPUs, while the latter customizes ASICs and networking products for major cloud providers like Google and Meta, creating a more cost-effective and controllable computing power platform. As demand for AI computing power continues to grow, NVIDIA dominates general-purpose GPUs, while Broadcom, positioned as the world's second-largest AI chip supplier, has solidified its foothold on the path of “deep customization for a few large buyers,” transforming abstract AI needs into measurable, signable, and balance sheet project items with a combination of specialized chips and networking.

BMO’s coverage led by Harsh Kumar wrote this landscape into the institutional narrative: Broadcom is no longer just a traditional communications and chip company, but a leading AI supplier in the custom ASIC and networking field, representing another anchor for “computing power as an asset” aside from NVIDIA. For the stock market, AI chip stocks' valuations are highly sensitive to research report ratings; the “outperform” rating and $455 target price provide a new pricing anchor for the entire AI chain, prompting tech stocks to regain risk preference in a reallocation environment characterized by high interest rates, elevated U.S. Treasury yields, and gold dropping below $4,600 per ounce. In portfolio terms, tech stocks and BTC, ETH are often regarded as the same high beta basket, meaning the valuation premium of AI chip leaders will transmit into the chain through factor linkage and thematic fund migration: on one hand, traditional markets embrace “computing power assets,” on the other, the crypto market amplifies AI concepts and overall risk exposure, ultimately allowing BTC and ETH to gain higher emotional weight and risk premiums in the rising cycle of the entire computing power narrative.

High Interest Rates and Gold Pullback: Risk Preference Repricing

Also on August 26, spot gold fell below $4,600 per ounce, while U.S. Treasury yields remained high, sending a direct signal to capital markets: risk-free returns themselves have become sufficiently attractive, and the premiums for traditional safe-haven assets have begun to compress. The pullback in gold prices means that some “defensive positions” are forced to be reevaluated, with funds reassessing the cost-effectiveness between gold, U.S. Treasuries, and high-growth tech stocks; safe-haven status is no longer the only main line; the new selection criterion becomes the ability to still offer sufficient growth in a high interest rate environment.

In this repricing process, the decision to overweight tech stocks easily resonates with the risk preferences of crypto assets. Tech stocks and BTC, ETH are often seen as part of the same high beta basket; when funds flow out of defensive assets like gold, they turn to embrace AI chips and computing-related targets, effectively raising the weight of “high volatility assets” at the portfolio level, allowing crypto positions to gain marginal risk budgets. The relative attractiveness changes between gold and tech stocks also subtly rewrite the narrative structure around BTC: when gold prices are under pressure and the AI sector gains valuation premiums, BTC is more easily perceived as an extension of tech risk assets rather than just a safe-haven alternative, and its “digital gold” label is marginally weakened, replaced by sensitivity to computing power, networking, and high-growth risk premiums. This change will directly affect the subsequent pricing methods and fund flows of BTC and ETH in the global asset rotation.

Cloud Vendors' Self-Developed Chips: Computing Power Dividend and Crypto Narrative

As gold prices are forced to reorder and the tech sector reoccupies the center of risk asset narratives, another deeper capital story unfolds in the cloud: major cloud vendors like Google and Meta are accelerating self-developed or customized AI ASICs while deliberately reducing dependence on a single chip supplier and writing cost structures and bargaining power into their own moats. They have not completely “divorced from the supply chain” but have handed general-purpose GPUs to NVIDIA while delivering custom chips closer to their own loads to ASIC players represented by Broadcom. At the moment BMO names Broadcom as the leading AI supplier in customized ASICs and networks and gives it an “outperform” rating, the market receives a clear signal: computing power and networking are no longer just hardware expenditures but are viewed as core infrastructure assets of the new economic era, worthy of a valuation premium akin to cloud platforms.

This cognitive upgrade will rapidly be sought after by thematic funds in the crypto world looking for “mirror targets.” In traditional markets, capital bets on Broadcom, NVIDIA, and the cloud vendors' data centers; in the on-chain world, the identified targets are infrastructure tokens that provide computing power, bandwidth, and storage, as well as protocols related to node operation and network security. When “infrastructure investment” becomes the main narrative, on-chain computing power, storage, and bandwidth tokens are more easily packaged as part of “AI economic foundations,” gaining excess attention when risk preferences improve. More critically, BTC and ETH's long-term valuations in this framework shift from merely being seen as “currency substitutes” to “digital infrastructure equities”: the former is viewed as anchors for global computing power and security budgets, while the latter corresponds to quasi-equity in decentralized computing and settlement networks, gradually integrating both pricing into a long-term risk premium model centered around computing power, networking, and capital expenditures.

Portfolio Reallocation: Transmission of Risks between U.S. Tech and BTC, ETH

When Harsh Kumar gave Broadcom an “outperform” rating and a target price of $455 on August 26, 2026, what was truly activated was not a single stock but a whole portion of risk budget. U.S. Treasury yields remained high, spot gold fell below $4,600 per ounce, and global funds were making linear choices between “safe assets” and “growth assets”: in an environment where interest rates are expensive and safe-haven assets still yield returns, institutions would only allocate limited high beta quotas to the sectors most supported by narratives and cash flows. AI chips are viewed as the core infrastructures of computing power and networking in the new economic era, and Broadcom is positioned as the second-largest supplier after NVIDIA, implying that when BMO provides an optimistic anchor point available for voting, many portfolio managers will choose to increase their allocations to U.S. tech stocks, particularly the AI sector, while compressing other high volatility exposures — which includes some short-term allocations to BTC and ETH.

However, this compression is not simply “reducing crypto and increasing tech,” but rather a factor-level reallocation. More institutions are incorporating U.S. tech stocks, BTC, and ETH into the same high growth, high volatility risk factor, managing exposures through unified volatility targets and drawdown tolerances: when the AI chip research report is favorable, the sentiment and expected returns for the tech sector improve, and the overall risk premium for the high beta factor is repriced, quantitative and cross-asset funds will simultaneously lower the compensation required by that factor, which in turn lowers the marginal risk cost for BTC and ETH. As a result, traditional portfolios see “tech weight increase, crypto weight stabilize but not drop to zero,” while thematic funds follow the same narrative chain, trading equity and token stories simultaneously from Broadcom and NVIDIA to on-chain AI concept tokens. Within this structure, every improvement in sentiment in the U.S. tech sector will determine through the high beta factor and cross-asset allocation whether funds concentrate further on AI stocks or begin to spread towards BTC and ETH, thereby influencing the volatility and risk premium levels of the crypto market in the future.

AI Thematic Trading Heat: Where Will On-Chain Funds Prefer To Go?

When Broadcom is officially included in the narrative as “the second largest AI chip supplier” and, under the catalyst of the research report, drives up the expectations of the entire AI industry chain along with NVIDIA, the global equity market's AI thematic trading is no longer just a single stock story but a cross-asset high beta factor portfolio. Funds initially concentrate bets on computing power and networking in the U.S. tech sector, viewing AI as new economic infrastructure, and then follow the same emotional curve to seek out “AI concept tokens” on-chain that can replicate this story, attempting to amplify this thematic trading with higher leverage and faster turnover rates.

The key to this transmission path lies in the central choices of on-chain funds. In an environment where U.S. Treasury yields remain high, gold prices fall below $4,600 per ounce, and macro uncertainties intensify, risk preferences do not expand linearly but dynamically shift between gold, U.S. Treasuries, tech stocks, and crypto assets. Funds flowing in and out of the chain often first pause at large-cap tokens considered stable value carriers, with BTC and ETH serving as “transit warehouses” between fiat currency and on-chain thematic sectors, then branching out from there to more aggressive AI narrative tokens and other hot targets; when traditional market AI sentiment recedes, funds retreat from thematic tokens back to these central assets, or simply return to off-chain tech stocks and U.S. Treasuries. Within this structure, the sustained heat and volatility of the AI theme will directly determine the net flows of BTC and ETH as funding routing hubs, as well as whether the on-chain AI concept sector will serve as a stage for short-term emotional trading or the core of the next round of high beta asset allocation.

BTC and ETH Observation Checklist Amidst Chip Valuation Fluctuations

Since BMO first initiated coverage on Broadcom on August 26, 2026, giving it an "outperform" rating and a target price of $455, the market officially began using “NVIDIA + Broadcom” to tell the story of the AI chip duopoly, which is not an isolated research report, but a repricing signal for risk preferences within the high beta asset basket. In an environment where gold has fallen below $4,600 per ounce and U.S. Treasury yields remain high, if AI chip stocks continue to enjoy premiums under institutional bullishness, it often means that funds are decreasing defensive weights between gold and U.S. Treasuries, and re-elevating risk exposures to tech and crypto, thereby enhancing the valuation elasticity of BTC and ETH; conversely, if evaluations of AI suppliers like Broadcom retract under high-interest pressure, the cooling of tech sector sentiment will compress the risk premiums for BTC and ETH. Next, three clues need to be closely monitored: first, whether the valuation fluctuations of Broadcom and similar AI chip stocks continue to amplify along with the rating rhythms of institutions like BMO; second, whether U.S. Treasury yields maintain high levels or show clear retracement, thereby changing the weight preferences of global assets among bonds, tech, and crypto; third, whether after breaking through key levels, gold prices evolve into a lasting retreat from safe-haven status or a phase adjustment, which will determine whether funds re-view BTC and ETH as “tech + anti-inflation” mixed factors for trading. These three clues will collectively shape the next phase of whether BTC and ETH can achieve a higher risk premium and more stable capital inflows.

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