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Deutsche Bank warns the dollar is riskier and tied to AI success as tokenization shifts funding flows.
A new report from Deutsche Bank's foreign exchange strategy team draws a line linking three issues often considered in isolation: the artificial intelligence investment boom, the tokenisation of assets, and the outlook for the US dollar. Strategist Mallika Sachdeva puts forward a straightforward yet challenging thesis: the United States is depending heavily on private foreign capital to finance both its AI build-out and its budget deficits, and blockchain infrastructure is the tool being used to expand that conduit.
This year's scale of US capital raising is without precedent.
In the report, the most important chart concerns foreign equity inflows. The second quarter of 2026 alone saw over $400bn of foreign equity capital enter the US, far exceeding any earlier quarter and far more than what index performance alone would explain. Equity flows have now overtaken long-term debt flows as the main source of US capital account financing, which Deutsche says is a critical shift in the FX world and points to greater volatility as capital moves around global equity markets.
The bank describes a "geopolitics-to-technology funding swap": official, long-term, geopolitically motivated buyers of Treasuries are receding, while private, shorter-term, tech-motivated equity buyers are taking over.
Many traders may have stopped paying attention to blockchain headlines, but Deutsche notes interesting developments in stablecoins. It also argues that tokenization of US securities has moved from the fringe to the core of the infrastructure.
The timeline:
Only about $40bn of real-world assets are tokenized today against a US asset universe north of $100tn. Estimates for the 2030s run from $2tn to $30tn, and Deutsche thinks those are low.
The example of Korea is worth noting. Korea is 2% of global GDP but accounted for 10% of the $740bn in foreign equity inflows to the US last year, largely retail, and largely because Korean brokerages lowered the access hurdles early with fractional trading and daytime access to US stocks. Deutsche's point: if 24/7, instant-settlement, $1-minimum access to US assets goes global, that's a powerful force.
What does it mean for the dollar?
Tokenisation makes US assets more attractive (collateral velocity, instant repo, cheaper cost of capital) and more accessible. Both pull capital in. The problem is that the same rails that lower the hurdle for inbound capital lower it for outbound capital too. Deutsche's conclusion is that the dollar is becoming riskier, more equity-sensitive, and directly leveraged to the AI race. The importance of equity flows is something I've increasingly observed since covid and now we're seeing that growing into a mainstream view.
The report includes a scatter of currency-equity correlations against net international investment positions and notes that the safe-haven properties of the US dollar are eroding.
The tail risk is spelled out plainly: if AI proves uneconomical, or if the US starts to fall behind, the dollar is very exposed. Said differently, the dollar is increasingly a bet on US tech companies winning in AI.
China is playing a different game
The final section reframes the whole thing as a contest between economic models rather than AI models.
The US is running what Deutsche calls "open markets, closed tech": throw the doors open to foreign capital, keep model weights proprietary, protect pricing power, reward shareholders. China is running "open tech, closed markets": push out low-cost open-weight models, keep the capital account managed, fund capex from a trade surplus that is actually growing on AI-related exports.
China doesn't need foreign capital, so it doesn't need tokenization. In February the PBOC and CSRC tightened rules on RWA tokenization and offshore RMB stablecoins, while steering toward controlled e-CNY. Chinese labs have raised a fraction of what US labs have. DeepSeek's $7.4bn was the largest round.
Chinese models are already more than half of US company token usage on OpenRouter. If the open-weight approach commoditizes AI and caps the excess profits of US labs, Deutsche argues it threatens more than valuations. It threatens the funding model that now underpins both the AI buildout and the US deficit, and the premise that open capital markets always deliver the winning innovation.
Strip out the blockchain language and this is a report about financing. The US has swapped official Treasury demand for private equity demand, is building infrastructure to make that swap bigger and faster, and has tied the dollar's fortunes to whether AI earns a return. Europe is on board with tokenization but lacks the AI footprint. China has opted out because it doesn't need the money.
For FX, the practical read is that USD is increasingly a bet on the Nasdaq, and the old assumption that the dollar rallies when equities fall deserves a hard second look.
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Disclaimer: this article comes from third-party media and is provided for reference only. It does not constitute investment advice. Crypto and other financial products carry significant price volatility risk, so please make your own decisions carefully.
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