Recently, the macro narrative seems to have been fast-forwarded by AI: on one side, the comprehensive intelligence index of Claude Haiku 5.5 given by Artificial Analysis skyrocketed to 43 points, far exceeding the previous generation's 17 points, and also outpacing GPT-6 Luna and GLM-5.3 Flash. At the same time, the highest-tier token consumption was reported to be more than three times that of the comparative models, with computing power and funding costs being re-priced; on the other side, Butterfly Effect parent company Manus secured over $500 million in financing, with investors such as Boyu, IDG, Tencent, Sequoia China, and ZhenFund collectively betting on this round of AI and on-chain narratives, preparing new ammunition for high beta assets. As technology and capital heat up in parallel, Standard Chartered Bank’s Singapore branch is preparing to launch digital asset custody for institutional investors, incorporating BTC, ETH, and tokenized RWA into the traditional custody stack, indicating that part of the capital could enter the blockchain with lower compliance friction. Meanwhile, Bitget data indicates that after the Korean KOSPI touched 6700 points, it fell about 1.58% within the day, with Samsung Electronics dropping about 1.3%. Coupled with Trump publicly stating he “doesn’t really want to reach an agreement with Iran” and US media reporting that his national security team discussed the potential for large-scale military action, global risk appetite contracts under geopolitical shadows. Rising computing costs, AI company financing expansions, banks opening institutional custody channels, and weakening stock indices and geopolitical risks all elevate funding costs, differentiate risk preferences, and increase compliance fund participation, forcing the crypto market to reconstruct its pricing logic for BTC, ETH, and on-chain risk assets between the optimism of “AI acceleration” and the defensive instinct of “macro uncertainty.”
Haiku 5.5 raises the score, but power costs soar
In the latest assessment from Artificial Analysis, Claude Haiku 5.5 scored 43 points, surpassing GPT-6 Luna's 38 points and GLM-5.3 Flash's 42 points, becoming a new "benchmark" in the general intelligence rankings. However, a more glaring line at the bottom of the assessment is the cost: at the highest tier, Haiku 5.5's token consumption is over three times that of the comparative models. For funding, this is not merely a technical iteration but a direct price increase in computing power and energy demands—each invocation amplifies the cash flow pressures behind GPU and cloud computing resources. AI inference itself has been seen as a cost center heavily reliant on GPUs and cloud computing, and the “smarter but more expensive” structural model of Haiku 5.5 redefines computing power from an abstract tech input into a tradable, hedgeable scarce resource, making related tokens around computing power, GPU supply, and electricity more akin to commodities rather than just concept stocks.
Capital's positioning is also reinforcing this resource attribute. Butterfly Effect parent company Manus announced it has completed over $500 million in financing, led by Boyu and IDG Capital, with continuing bets from old shareholders like Tencent, Sequoia China, and ZhenFund, interpreted by the market as a sign that the “AI × Crypto” track still has ample ammunition. Financing has not tapered off due to rising computing costs; rather, under the new high-cost normal, it has supplemented related projects with more enduring fuel—meaning that more AI services priced by computing power and settled in tokens will be pushed onto the blockchain, and AI infrastructure-related tokens, along with assets linked to GPUs and cloud computing, are likely to attract more stable funding inflows. For BTC and ETH, this re-pricing logic viewing computing power as a tradable resource will transmit through miner costs and on-chain settlement demands for L2 and AI applications to mainstream asset valuations, allowing them to be seen not just as “tech allocations” but as macro assets deeply embedded in the computing cost cycle in the next round of AI narratives.
Standard Chartered's custody launch: Signals for institutional entry
When computing power is re-priced as a tradable resource, for funds to truly enter the blockchain, a regulatory-recognized “warehouse” is also needed. Standard Chartered's Singapore branch is preparing to launch digital asset custody for institutional investors, integrating BTC, ETH, and tokenized physical assets into a unified ledger. The macro significance of this step is not “yet another bank doing business,” but rather that compliance custody, this critical variable, is beginning to improve systematically. Standard Chartered had previously set up similar digital asset businesses in the UAE, Luxembourg, and Hong Kong, and now with Singapore added, institutional funds across Asia, the Middle East, and Europe can complete cross-regional asset custody and settlement within the same banking system, significantly reducing the operational costs of holding and reallocating crypto assets.
For large institutions, whether there is a regulated custodian often determines whether BTC and ETH can make it into formal allocation plans at investment committees. Once custody is established, fund product issuances and large-scale over-the-counter transactions usually follow suit, with spot buying no longer coming solely from active trading on exchanges but driven by continuous inflow from long-term portfolio adjustments, passive allocations, and demand for structured products. The macro trading structure will thus change: on one hand, the proportion of the “compliance chips” of on-chain assets increases, while leverage and sentiment-driven short-term price options relatively weaken; on the other hand, the yield and collateral mechanisms surrounding tokenized physical assets will provide new overlay strategies and hedging tools for BTC and ETH, gradually transitioning them from a single direction risk bet to being embedded as macro objectives in institutional multi-asset portfolios. This time, the Standard Chartered custody launch resembles a floodgate opening for mainstream funds’ structural holdings in crypto assets, rather than a round of short-term emotional trading.
Polymarket and TRUMP move to the speculative stage
As custody and compliance lay a “funding base” for BTC and ETH in the central region, the edges of the market are rapidly building a new high-leverage stage. Former Coinbase employee Edward Lee joined Polymarket to oversee product development for Polymarket US and the international on-chain platform, effectively transforming his infrastructure phase experience into a trading frontend directly aimed at retail users—transitioning from “how the chain operates” to “how people place bets.” This means that prediction markets are no longer just niche tools for geeks but need to find a balance between product usability, compliance structures, and on-chain settlements, bringing larger volumes of speculative demand into a regulatory and scalable interface.
Alongside this, the TRUMP team threw a more direct narrative at Token2049: Bill Zanker stated that they are creating themed games and television programs around the TRUMP token and are seeking to acquire a TRUMP-themed amusement park, with the team’s public goal being “to enhance the value of the TRUMP token and satisfy its holders.” This is a typical narrative-driven speculative project—through gamification, programmization, and offline scenarios, price fluctuations are packaged as entertainment experiences, attracting high-risk appetite funds to use TRUMP as leverage for political sentiment and personal belief. Prediction markets and meme tokens have always been the natural habitat for this type of capital, and with infrastructure veterans like Edward Lee upgrading products for Polymarket, and the TRUMP team staging token narratives, BTC, ETH, and mainstream on-chain funds will oscillate between safe yields and emotional betting under the dual pull of “assets under compliant custody” and “high volatility narrative stages” in an environment where risk appetite is cooling.
KOSPI pullback and US-Iran tensions: Asian risk appetite cools
As funds sway between “custody underpinnings” and “narrative stages,” the Asia-Pacific markets suddenly hit the brakes. Bitget data shows that the Korean KOSPI index touched down to 6700 points, with a daily decline of about 1.58%, as Samsung Electronics, a weighty core, fell about 1.3% simultaneously. In this round of AI and crypto frenzy, both retail and institutional investors in South Korea have been significant participants with high leverage and turnover. This index-level pullback conveys not merely a technical adjustment but a discount on the overall risk of the “future growth narrative”: when standard growth sectors like electronics and semiconductors see concentrated reductions, it signifies that short-term Asia-Pacific funds are more concerned with retreat control rather than further increasing their risk exposure.
Almost simultaneously, Trump tightened his stance on Iran, directly stating that he currently “doesn’t really want to reach an agreement with Iran,” while US media reported that his national security team discussed the possibility of resuming large-scale military action against Iran in the coming weeks. Historical experience tells us that whenever the situation in the Middle East heats up, the weights of “hedging” and “volatility” in global asset portfolios are recalibrated. For the Asian trading desks, the pullback in KOSPI and Samsung, along with heightened US-Iran tensions, equates to a dual signal of risk aversion: high beta AI theme stocks, on-chain speculative positions, and altcoins often bear the brunt of any sell-off, while BTC, which possesses a narrative of “digital hedging,” along with relatively more liquid mainstream assets, stand a better chance of gaining relative returns in this round of cooling sentiment. Whether capital will continue along the path of “reducing high-volatility narratives and increasing high-liquid mainstream assets” is a key variable to closely watch moving forward.
The main trading line for BTC and ETH in a multi-line game
The Haiku 5.5 intelligence index jumped from 17 points to 43 points, while at the same time, the highest-tier token consumption exceeded that of competitors by three times, combined with Manus's over $500 million financing, equates to raising AI computing power prices and the threshold for the track simultaneously on both technology and capital fronts; as computing power becomes a “hard cost,” BTC and ETH, the most core pricing and collateral assets on-chain, are naturally more likely to be viewed as long-term foundational targets for allocation, while Standard Chartered’s planned custody services in Singapore push this demand from “want to allocate” to “able to allocate,” laying the infrastructure for mainstream funds to lean towards BTC and ETH in the coming years. In contrast, Polymarket introducing the former Coinbase backbone to create prediction products, combined with the TRUMP team planning games, television programs, and amusement parks at Token2049, essentially rewraps on-chain contracts in layers of entertainment IP, enhancing the speculative attributes of the chips. In an environment where the KOSPI has dropped to 6700 points and US-Iran tensions rise, these high beta narrative positions are more likely to face liquidation and severe corrections, thereby providing BTC and ETH with a relative advantage of “reducing volatility and preserving liquidity.” Looking back at this round of multi-line games from the perspective of October 8, 2026, the main trading line becomes increasingly clear: in the medium to long term, anchored by rising computing costs, capital injections, and the establishment of custody, strengthening BTC and ETH as core positions in the AI + on-chain asset portfolio; in the short term, closely monitor the performance of AI-themed tokens under high cost constraints, the actual rollout pace of institutional custody businesses like Standard Chartered, and whether KOSPI and other Asian risk assets continue to suppress global risk appetite, thus assessing if funds will persist on the path of “returning to mainstream and reducing high-volatility chips.”
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