Trump-Linked WLFI $500M UAE Stake Sparks Senate Demand For Probe

bitcoinistPublicado em 2026-02-16Última atualização em 2026-02-16

Resumo

US lawmakers, including Senators Elizabeth Warren and Andy Kim, are demanding an investigation by the Treasury's CFIUS committee into a reported $500 million investment by an Abu Dhabi-linked vehicle for a 49% stake in Trump-connected crypto firm World Liberty Financial (WLFI). The investment, tied to Sheikh Tahnoon bin Zayed Al Nahyan and finalized in January 2025, raises national security concerns over foreign access to sensitive customer data, system controls, and strategic decision-making. The deal also involved board appointments linked to G42, a company previously scrutinized by US intelligence. If CFIUS does not review the transaction, lawmakers plan to pursue oversight hearings and further document requests.

US lawmakers on Friday stepped up pressure over a reported foreign stake in a crypto firm tied to US President Donald Trump, asking the Treasury’s foreign-investment watchdog to explain whether the deal threatens national security or should be reviewed.

Trump And The $500 Million Deal

Reports say an Abu Dhabi-linked vehicle paid about $500 million for roughly 49% stake in World Liberty Financial (WLFI). That investment is said to have put a foreign investor in line to be the largest outside shareholder and to win board seats.

Based on reports, critics worry about what access a large shareholder could have to customer data, system controls, or strategic decision-making at a company that handles stablecoins and user wallets.

Sheikh Named As A Backer

Accounts point to an investment vehicle tied to Sheikh Tahnoon bin Zayed Al Nahyan. Reports say the deal closed in January 2025, a timing that has drawn extra attention from legislators, given its proximity to the transition in Washington.

Some money from the transaction reportedly flowed to entities linked to the company’s founders and affiliates. That detail has raised questions about disclosure and whether any rules governing foreign deals were followed.

BTCUSD currently trading at $70,279. Chart: TradingView

Lawmakers Want Answers

Massachusetts Senator Elizabeth Warren and New Jersey Senator Andy Kim have written to Scott Bessent asking whether the Committee on Foreign Investment in the US — CFIUS — has reviewed the transaction or should now open a formal probe into the Trump-linked crypto venture.

The lawmakers set a response deadline and asked for documents and a clear statement on any national security concerns. Their letter frames the matter as one of foreign access to sensitive financial and identity information, and of potential influence over a firm connected to a sitting president.

Image: WEEX

Board Appointments And Tech Ties Add To Scrutiny

Reports note that executives with ties to G42 were named to the company’s board after the deal. That link has prompted fresh questions, since G42 has been inspected in past US intelligence reviews for its foreign partnerships.

Lawmakers say those kinds of connections merit a close look when the investor traces back to a foreign government official or agency.

Trump-Linked Crypto: What Happens Next

If CFIUS opens a formal review, it could demand documents, interview executives, and impose mitigation steps or block parts of the deal. If no review is launched, lawmakers say they will press further through oversight hearings and document requests.

The unfolding inquiry highlights a knot of issues: foreign capital in crypto, the handling of consumer data, and how political ties intersect with cross-border investments.

Featured image from David Hume Kennerly/Getty Images, chart from TradingView

Perguntas relacionadas

QWhat is the main concern of US lawmakers regarding the $500 million investment in the Trump-linked firm WLFI?

AUS lawmakers are concerned that the foreign investment, reportedly tied to an Abu Dhabi-linked vehicle, may threaten national security by granting access to customer data, system controls, or strategic decision-making at a company handling stablecoins and user wallets.

QWho is identified as the backer of the investment vehicle involved in the WLFI deal?

AThe investment vehicle is tied to Sheikh Tahnoon bin Zayed Al Nahyan of Abu Dhabi.

QWhich US senators have demanded an investigation into this transaction by CFIUS?

AMassachusetts Senator Elizabeth Warren and New Jersey Senator Andy Kim have written to the Committee on Foreign Investment in the US (CFIUS) demanding an investigation.

QWhat additional scrutiny has arisen due to board appointments following the deal?

AExecutives with ties to G42 were named to WLFI's board, which has prompted further scrutiny because G42 has been previously inspected in US intelligence reviews for its foreign partnerships.

QWhat are the possible outcomes if CFIUS opens a formal review of the deal?

AIf CFIUS opens a formal review, it could demand documents, interview executives, and impose mitigation steps or block parts of the deal. If no review is launched, lawmakers plan to press further through oversight hearings and document requests.

Leituras Relacionadas

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbitHá 1h

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbitHá 1h

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbitHá 1h

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbitHá 1h

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHá 3h

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHá 3h

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHá 3h

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHá 3h

Trading

Spot
Futuros
活动图片