Recently, a financing that seemed purely financial has brought together crypto capital, AI computing power, and discussions of US policy into a single narrative: Tenstorrent, led by chip architect Jim Keller, completed an E round financing of up to 1.5 billion dollars, with a post-financing valuation of about 6.2 billion dollars. According to research briefs, Tether Capital's name has appeared in this round—specific contributions and shareholdings have not been disclosed, but it is enough to indicate that the crypto circle is no longer satisfied with merely speculative narratives; it has begun to place heavy bets on the underlying computing power infrastructure that supports future models. Concurrently with the forward layout of capital is the debate in Washington about how to redistribute technological dividends: Brad Gerstner, founder of Altimeter Capital, has publicly pushed for legislation to extend the eligibility of "Trump accounts" to people under 40, thereby targeting about 100 million Americans, and allowing funds to be used for retirement, education, and entrepreneurship; meanwhile, at the 2026 Bund Summit, Robert Rubin reminded that the long-term fundamentals of the US remain solid, but failure to respond to technological change at the policy level could exacerbate imbalances. He suggested considering increasing the tax burden on companies that profit most from AI, redirecting the earnings from computing power and algorithm accumulation through the tax system. One side is crypto capital pushing into the heavy asset battlefield of AI computing power through chips and servers, while the other side is the US attempting to redraw the distribution boundaries of technological dividends with accounts and tax rates. What arises from this overlap is not just a change in the direction of capital flow, but a long-term game surrounding ownership of computing power, entitlement to earnings, and institutional redistribution.
Tether Capital Bets on Tenstorrent's Computing Power
If we are to find a typical sample in this game of computing power, Tenstorrent is almost a tailor-made target for the narrative. The company, led by chip architect Jim Keller, has proven himself in the traditional semiconductor world and is now focusing energy on high-performance AI computing-related chips and systems: not a lightweight software story, but carving out the "foundation" of next-generation dedicated computing power around matrix operations, data flow, and energy efficiency. Tenstorrent's business positioning is straightforward—compressing larger models, denser inference, and training demands into a combination of hardware and systems that can be replicated and scalable, providing the upper-level AI applications with sufficient "electricity" to squander.
The recently completed E round financing has pushed this heavy asset story into the spotlight of capital: 1.5 billion dollars of new funds have poured in, with a post-investment valuation of approximately 6.2 billion dollars; even though the list of investors has not been fully disclosed, the scale itself indicates the capital intensity and growth expectations of the computing power business. More significant is the presence of Tether Capital, as a related investment subject, in this round of financing—specific investment amounts and share proportions have not been disclosed, but this has already rewritten the landscape of crypto funds: funds originally seeking yield opportunities in the on-chain world are now directly moving their chips to AI chip and systems companies, locking in future computing power dividends in the form of equity. This is not a simple "diversified investment," but rather an acknowledgment by crypto capital that computing power itself is a new asset class, willing to descend from protocols and trading platforms to the data center and chips, securing a seat at the hardware level. Thus, Tenstorrent's financing is both a milestone in the company's own expansion and a turning point in the formal convergence of crypto funds and AI infrastructure.
Expanding the Trump Account to Compete for Technological Dividends
As crypto capital has already seized sovereign rights over computing power in data centers and chips, Brad Gerstner, founder of Altimeter Capital, has chosen to shape distribution rules on another front—his proposed "Trump account plan" is not a new fund, but an institutionalized account framework, attempting to separate the upward gains of technology and capital markets from Wall Street and a few tech company shareholders. According to Gerstner's public vision, the team is lobbying Congress to propose relevant legislation in the coming months to directly extend the eligibility of this account to all Americans under 40. The funds in the account are locked for three types of long-term goals: retirement, education, and entrepreneurship, tying investment returns to the individual's future time value, rather than becoming another channel for short-term speculation.
What bears political weight is the change in the scale of coverage. Estimates provided in research briefs indicate that simply opening eligibility to those under 40 could add about 100 million people to coverage; if approximately 70 million children and about 3.5 million newborns each year are further included, this account system could nearly "touch" the American labor and consumer population for decades to come, reserving the technological and capital market dividends under the name of every newborn social member through institutional means. Unlike the route of capital precedents where returns are redistributed through market self-adjustment behind Tenstorrent's financing, the expansion of Trump accounts shifts the battleground to legislative mechanisms: who can enter the list of 100 million plus tens of millions of children and newborns, how to set account limits and thresholds, and whether investment targets will lean towards AI and high-growth tech stocks—these yet-to-be-disclosed details will determine whether American families are merely observing from the periphery of the technology cycle or are locked onto this long-term train driven by computing power and capital through institutional arrangements.
Calls for Increased Taxes on AI Winners: Rubin's Redistribution Proposal
If the expansion of Trump accounts is about discussing "how to distribute money and to whom," Robert Rubin's speech at the 2026 Bund Summit brings the focus back to "where the money comes from." In that roundtable discussion centered on technological shocks, he first presented a judgment sharply different from the common anxieties in public opinion—America still possesses a strong long-term economic foundation and inherent advantages, but to turn this advantage into widespread economic success during the AI cycle, proactive policy responses and adjustments are essential. The technological dividend itself is not the issue; the problem lies with who seizes the dividends and under what system they are distributed.
Thus, Rubin proposed a directionally unpopular yet increasingly hard-to-ignore suggestion on the capital side: consider increasing the tax burden on companies that benefit most from AI, redirecting these "winners'" excess returns back into broader social levels through fiscal channels. There are no specific tax rate numbers or collection details, but the signal is already clear—during a year of soaring computing power and asset prices, policy discussions are beginning to directly point to the distribution rights of AI capital. If a targeted tax on AI winners becomes a reality in the future, it might provide new fiscal space for inclusive accounts, social security, and other tools, allowing the returns first captured by capital during the technology cycle to flow back to ordinary accounts and public protections along institutional pathways. This is precisely the key test of whether America's long-term advantages can be sustained for the welfare of the majority in the AI era, as Rubin envisions.
Game Between Crypto Capital and Policy: How to Distribute Computing Power Dividends
On the same timeline, Tether Capital's bet on Tenstorrent's high-performance AI chips and systems, the push for expanding Trump accounts by Brad Gerstner, and Rubin's proposal to "increase the tax burden on companies that benefit most from AI" are placed within the same distribution framework: who will first, in what way, seize and redistribute the AI dividends. Tenstorrent completed a 1.5 billion dollar E round financing led by Jim Keller, achieving a post-financing valuation of about 6.2 billion dollars, with Tether Capital directly entering this underlying computing power asset, representing crypto funds' choice to position themselves at the very bottom of the tech stack, locking in future rents of computing power first; on the other end, the Trump account expansion proposals aim to push coverage to those under 40, with funds usable for retirement, education, and entrepreneurship, aggregating about 100 million new adult accounts, approximately 70 million children, and about 3.5 million newborns, designed as a policy container to spread technological cycle returns to a wider group.
The tension thus becomes apparent: private crypto capital uses equity and valuation as mediators to occupy the rising space of AI computing power infrastructure ahead of legislation, while policy discussions attempt to cut away part of the highly concentrated technological dividends through targeted taxation and inclusive accounts, injecting them into social security and individual balance sheets. Rubin views an increased tax burden on AI winners as a crucial adjustment for the sustainability of America's long-term advantages for the welfare of the majority. How the expansion of Trump accounts and relevant tax systems will be implemented in the coming months will directly determine whether these computing power dividends continue to cycle within the capital camp or whether part of them is diverted to a more inclusive account system. For the crypto industry, this game is reshaping the narrative structure: from a simple asset story betting on price fluctuations to a compound story of “computing power investment + inclusive financial tools,” only narratives that can explain how capital participates, how policies constrain, and how ordinary accounts share will likely gain more legitimacy in the next AI cycle.
The Resonance of AI and Crypto: Where Will the Next Opportunity Lie
From companies like Tenstorrent, led by Jim Keller and betting on high-performance AI computing, securing 1.5 billion dollars in E round financing, to Tether Capital directly entering the computing power asset side, and the US discussions surrounding the expansion of "Trump accounts" and taxes on AI, a single main storyline has surfaced: crypto capital is transitioning from on-chain assets to embrace computing power infrastructure, while policies are brewing to use taxes and account systems to redirect part of technological dividends to a broader population. The next opportunity is not merely about searching for the next "Tenstorrent," nor simply betting on a particular asset narrative, but rather synchronously observing along two lines: one is the continuous layout of crypto funding in foundational layers like AI chips and data centers; the details of Tenstorrent's E round investors and Tether Capital's specific stakes haven't been publicly disclosed, but this capital shift has become a directional fact; the other is the ongoing battle in US legislation regarding the redistribution of technological dividends. Brad Gerstner's proposed expansion of Trump accounts remains at the stage of qualification relaxation and coverage use for retirement/education/entrepreneurship, while Robert Rubin's suggestion to increase the tax burden on "companies benefiting most from AI" has yet to reach the level of tax rates and execution mechanisms. From the perspective of October 20, 2026, these uncertainties mean no concrete paths can be concluded, but the triangle of "computing power investment + inclusive accounts + AI taxation" is taking shape, and the resonance between crypto and AI is likely to occur during the gradual incorporation of these three elements into balance sheets and legal texts.
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