World Liberty Financial to Tokenize Trump Maldives Resort Revenue

World Liberty Financial to Tokenize Trump Maldives Resort Revenue

World Liberty Financial (WLFI) is stepping further into the world of tokenized real-world assets with plans to tokenize loan revenue interests tied to the Trump International Hotel & Resort in the Maldives. The announcement signals an effort to merge luxury hospitality development with regulated blockchain-based finance, giving qualified investors a new way to participate in high-profile real estate projects.

The initiative is being developed in partnership with Securitize and DarGlobal PLC. Together, the companies aim to design, structure, and distribute a WLFI-branded tokenized offering that brings institutional-grade real estate exposure onto supported public blockchains while maintaining compliance with securities regulations.

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The underlying asset, Trump International Hotel & Resort, Maldives, is a flagship ultra-luxury hospitality development by DarGlobal in collaboration with The Trump Organization. Scheduled for completion in 2030, the resort is expected to include approximately 100 ultra-luxury beach and overwater villas, positioning it as a premium destination within the global luxury travel market.

Rather than offering direct equity ownership, the initial structure focuses on loan revenue interests associated with the development. Eligible accredited investors will be offered exposure to fixed yield components along with loan interest payments linked to the project’s financial performance. There may also be potential participation in certain profits if the asset is sold in the future. The entire framework is structured within established regulatory exemptions, underscoring that the tokens represent private securities rather than publicly traded digital assets.

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Eric Trump, co-founder of World Liberty Financial, stated that the company’s goal has always been to expand access to decentralized finance and that tokenized real estate is a natural progression of that vision. By bringing a globally recognized property into an on-chain structure, WLFI aims to broaden participation in traditionally exclusive asset classes.

Carlos Domingo, Co-Founder and CEO of Securitize, highlighted the longstanding complexity of tokenizing real estate in a scalable and compliant way. He emphasized that successful on-chain real estate products must be built with strong governance, regulatory alignment, and market infrastructure at their core. According to Domingo, this partnership is designed to meet those standards.

From DarGlobal’s perspective, the move introduces an alternative pathway for qualified investors to gain structured exposure to high-end real estate during its development phase. CEO Ziad El Chaar described the initiative as a step forward in how investors can potentially access, trade, and eventually gain liquidity in loan revenue interests tied to premium global developments.

The tokens will be offered in a private placement under Rule 506(c) of Regulation D of the Securities Act of 1933 and will be available only to verified accredited investors in the United States, as well as to non-U.S. persons through offshore transactions under Regulation S. The securities will not be registered under the Securities Act and will be subject to significant transfer and resale restrictions.

Issuance is expected to occur on supported public blockchains, with access facilitated through select third-party partners and digital wallets, subject to applicable legal requirements. WLFI has also indicated that, where permitted by law, eligible participants may be able to use their token holdings as loan collateral through WLFI Markets.

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Overall, the announcement reflects a broader shift in capital markets, where traditional real estate finance and blockchain infrastructure are increasingly converging. By combining brand recognition, regulatory structure, and digital asset technology, WLFI’s latest move signals growing momentum behind tokenized real-world assets as a serious segment of modern investment markets.

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