This week, three seemingly unrelated coordinates were suddenly brought together on one chart: Progressive Senator Bernie Sanders proposed the "American AI Sovereign Wealth Fund Act," which would impose a one-time 50% equity tax on the largest AI companies in the United States, injecting funds into a national-level sovereign wealth fund sourced from AI profits; towards the Middle East, U.S. Secretary of State Rubio declared that "the war in Iran is over," contrasting sharply with Israeli Prime Minister Netanyahu's insistence that Iran still poses a survival threat and that its regime is "doomed to disappear from the world." The narratives present a fragmented view of war; from a blockchain perspective, Kaiko has acquired Amberdata following its purchase of Cometh, and according to Coinglass statistics, approximately $1.252 billion in liquidations occurred across the network in the last 24 hours, with about $1.129 billion in long positions wiped out, leaving around $123 million in short positions caught in the whirlwind. One aspect is the government attempting to directly seize AI capital appreciation, redistributing these technological gains to the public through cash dividends and public services such as healthcare, education, and housing. At the same time, the split discourse among allies regarding whether "the war is over" leads to ambiguity in pricing Middle Eastern risks. Another aspect is the simultaneous occurrence of accelerated concentration in data infrastructure and high-leverage long squeezes, reshaping this week's risk appetite curve and limiting the market's imagination regarding the future of technology and crypto assets.

50% Equity Tax Debuts: AI Giants Forced Onto the Tax Rack

In Sanders' proposed "American AI Sovereign Wealth Fund Act," the most striking element is not "AI," but rather the "one-time 50% equity tax." The concept is straightforward: impose a one-time tax equivalent to half the equity value on the "largest AI company in the U.S." and inject all the funds into a national-level AI sovereign wealth fund, which would then redistribute this new wealth—originally concentrated in the accounts of a few tech giants—through cash dividends, healthcare, education, and housing expenditures to all American citizens. Sanders' consistent advocacy for wealth redistribution finds a new target here—AI capital appreciation is no longer just a shareholder story but has been rewritten as a nationwide attempt at "nationalizing technological dividends."

What really concerns the market is not just the figures themselves but the identified category of targets—the "largest AI company in the U.S." Symbolically, this announcement signifies that the next generation of global tech hegemons may have to contend not only with antitrust lawsuits but also with direct tax levies at the sovereign wealth level. The issue is that there is currently no publicly available list of the companies to be taxed, no valuation thresholds, and no clear execution path or timeline; even the actual support for this plan in Congress remains unclear. The result is a significant lack of clarity: the capital market finds it difficult to immediately calculate the accounting losses yet easily layers an additional "political tax risk premium" onto pricing, while AI giants are forced to recognize that the marginal profits they create have been explicitly inscribed into a political ledger ready to be opened to all citizens.

From Silicon Valley to Washington: The AI Wealth Redistribution Game

In Washington, Bernie Sanders views this round of AI super profits as a "historic redistribution window." In his progressive narrative, the reason the largest AI companies can accumulate massive valuations in a very short time is that they stand on the foundations of public research investment, national computing power, and infrastructure; therefore, through a one-time 50% equity tax extracting half of the incremental earnings to inject into the AI sovereign wealth fund, and then returning it to all residents through cash dividends, healthcare, education, and housing support, is not a punishment for businesses but a correction of a long-standing structural issue of "low tax burden for the rich and large corporations." For him and his supporters, this money should never have been confined to capital accounts; AI is merely the first instance where this "invisible wealth" has been precisely delineated.

The instinctive reaction from Silicon Valley is quite the opposite. For founders and investors, a one-time 50% equity tax functions almost like a "nuclear option" within the current U.S. corporate tax system: it directly impacts ownership rather than annual profits, essentially communicating to entrepreneurs—once they reach a sufficient size, the state can take away half their holdings at any time. Even though there are currently no public bipartisan voting arrangements, nor have any companies formally opposed it or disclosed lobbying details, this signal alone is sufficient to compress valuation expectations and lower the risk-return ratio for long-term R&D projects, as investment sentiments will preemptively discount for "structural tail risks." From a global perspective, this resembles a first-mover game: traditional sovereign wealth funds are mainly fed by resource exports or fiscal surpluses, whereas Sanders has written AI industry profits into fund bases, effectively providing international regulators with a new template—whether to follow the U.S. in uniformly "taking a cut" from AI giants or to use lower tax burdens and more lenient regulations to compete for these companies will depend on whether the market ultimately views this extreme scenario as an isolated threat or the starting point for a future global AI tax system.

Divided Discourse in the Middle East: War Ended vs Survival Threat

If the AI tax system represents a first-mover game of paper rules, then in the Middle East issue, the contest is for the very narrative itself. U.S. Secretary of State Rubio's public statement that "the war in Iran is over" has been interpreted by the market as a suggestion that a specific phase of military action has ended, as if pressing a pause button on geopolitical tensions. Almost simultaneously, Netanyahu's statements from Tel Aviv amplifies another reality: Israel will never allow Iran to obtain nuclear weapons, will never allow Iran to threaten its survival, and describes the Iranian regime as a "terrorist regime destined to disappear from the world," emphasizing that Israel would "help achieve this goal." One narrative conveys a sense of closure—the "war is over," while the other is a rallying cry about a "survival threat," presenting a distinctly contrasting story of the same region.

This discord directly affects global perceptions of whether risks in the Middle East are genuinely easing. The Middle East has long been in a high-risk zone, with the opposition between Iran and Israel viewed as a significant potential risk source; when Washington signals "de-escalation" while Jerusalem continues to position Iran as an enemy that must be erased from history, investors can only acknowledge that this is merely a pause in one round of conflict, not a dismantling of the risk structure itself. What complicates matters further is that specific occasions for these statements and subsequent military or diplomatic actions have yet to be made public, making it impossible for external observers to verify whether it is "true de-escalation" or just "narrative management." For risk assets, this means that risk-averse sentiment will not automatically dip just because of a statement saying "the war is over," and the crypto market is unlikely to interpret such a singular signal as a green light for "risk clearance." Until narratives converge, any bets must account for geostrategic uncertainty premiums.

Kaiko Acquires Amberdata: Data War Escalates

As the macro narrative fluctuates, underlying infrastructure is quietly beginning to concentrate. Kaiko has announced its acquisition of Amberdata, directly defining this transaction as one of the most significant consolidations in the digital asset data industry in recent years, following its purchase of Cometh. The intent behind continuously acquiring peers is not subtle: transforming from "one of many data sources" into the central hub for institutional-grade digital asset data solutions, bundling data from different dimensions such as prices, on-chain data, and derivatives into a set of standardized components "sufficiently usable" for institutions. The transaction's amount, payment method, and integration timeline have not been disclosed, but in the context of a long-term highly fragmented industry with disparate interfaces, this movement towards fewer leading players itself serves as a signal.

For larger institutional investors, the truly scarce resource has never been the data from a specific blockchain or exchange, but rather a unified, reliable, and comparable data view—one that can be directly called upon by a set of risk control models and pricing frameworks. By incorporating Amberdata into its fold, Kaiko indicates that the pathways for exchanges, market makers, and funds to obtain pricing, on-chain, and derivatives data may be further "packaged" into a select few foundational service providers: whose data is viewed as the "benchmark," whose anomalies may be overlooked, and who first detects liquidity collapses or surges in implied volatility will increasingly depend on these centralized data entry points. On the surface, this is an improvement in efficiency and consistency; in essence, it rewrites a more critical question—who will ultimately define what constitutes "the true state of the market" in the future crypto space.

$1.252 Billion in Liquidations Within 24 Hours: Leveraged Frenzy Slams on the Brakes

While the question of "who defines the true state of the market" remains a power struggle in language, derivative accounts have already provided a more direct answer: according to Coinglass, approximately $1.252 billion in liquidations occurred in the last 24 hours, with long positions accounting for about $1.129 billion and short positions only about $123 million. The concentration of long-leverage positions with a singular direction was flipped over by a single wave of volatility. The briefing did not specify which price curve blew the fuse, but the scale of the liquidations itself speaks volumes—during the current round of market activity, leverage has been pushed to high levels, and any directional impact converts into magnified losses in margin accounts. More critically, this 24-hour "leveraged brake" has not been compounded by a single negative factor, but rather three external forces simultaneously pressing in: one is Sanders' attempt to impose a one-time 50% equity tax on the largest AI companies in the U.S., signifying a new round of cross-industry policy redistribution; another is the split discourse on the Iranian situation in the Middle East, making it difficult for geopolitical risk premiums to truly return to zero; and the third is the acceleration of data infrastructure concentration represented by Kaiko's acquisition of Amberdata, concentrating the power of "seeing what the market sees, and when it sees it" into fewer entry points. In an environment interweaving policy redistribution, geopolitical games, and infrastructure centralization, it is hard for the crypto market to be viewed as an independent game disengaged from macro factors; it seems more like a passive amplifier of high-leverage risks that absorbs external shocks. If investors do not reprice the risk premiums they are willing to pay for these uncertainties, the $1.252 billion in liquidations will only be an interlude in a longer saga rather than an ending.

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