Tether Invests $150 Million in Gold.com to Expand Digital Gold and Stablecoin Use

TheNewsCryptoОпубликовано 2026-02-06Обновлено 2026-02-06

Введение

Tether, the issuer of USDT, has invested $150 million for a 12% stake in Gold.com. This partnership aims to expand the use of digital gold and stablecoins. Tether will integrate its gold-backed token XAUT onto Gold.com, allowing users to potentially purchase physical gold using USDT or its new regulated stablecoin, USAT. Tokenized gold, like XAUT, is fully backed by physical gold stored in Swiss vaults and represents a rapidly growing market. Tether's XAUT currently dominates with over 60% market share. CEO Paolo Ardoino emphasized gold's role as a long-term store of value and a hedge against economic instability. Additionally, Tether's recent investment in federally regulated bank Anchorage Digital signals its strategic expansion into compliant financial services, combining digital dollars, gold, and regulation. Following the announcement, Gold.com's shares rose by 6%.

Tether, the company behind the largest stablecoin USDT, has now invested a $150 million stake in Gold.com to buy Gold. This investment gives Tether 12% ownership in Gold.com. Tether aimed to offer a tokenized gold that can be traded on the blockchain and is safer during the global economic uncertainty.

What this partnership means

Through this partnership, Tether will integrate its gold-backed token XAUT into Gold.com, and users may be able to buy real physical gold using USDT. Purchases may also support using USAT, which is the Tether’s new U.S.-regulated stablecoin. After the announcement of the Tether partnership, Gold.com shares increased by 6%.

Tokenized golds are the real gold turned into a digital token. Each XAUT token is backed 1:1 by real gold, and golds are stored in Swiss vaults safely, where users can trade or move gold digitally without handling it in physical bars. The tokenized gold market has grown rapidly from $1.3 billion to over $5.5 billion. Tether’s XAUT controls more than 60% of this market right now.

Paolo Ardoino, Tether’s CEO, said that Gold is a long-term protection tool, and he explained that Gold has protected value for hundreds of years and it performs well during financial stress. According to Ardoino, Tether wants to protect both users and the company’s reserves, so gold helps to balance risks in an unstable global economy.

Along with this deal, Tether also invested in Anchorage Digital, which is a federally regulated U.S. crypto bank. This bank supports USAT, which shows that Tether is expanding into regulated U.S. markets and combining digital dollars, gold, and regulations.

Highlighted Crypto News:

Aperture Finance Loses $3.67M in Exploit, Hacker Deposits Funds Through Tornado Cash

TagsGoldStablecoinTether

Связанные с этим вопросы

QWhat is the amount of Tether's investment in Gold.com and what percentage of ownership does it represent?

ATether invested $150 million in Gold.com, which represents a 12% ownership stake in the company.

QWhat is the name of Tether's gold-backed token and how is it backed?

ATether's gold-backed token is called XAUT. Each XAUT token is backed 1:1 by real physical gold, which is stored in Swiss vaults.

QAccording to Tether's CEO Paolo Ardoino, why is gold an important asset for the company?

APaolo Ardoino stated that gold is a long-term protection tool that has protected value for hundreds of years and performs well during financial stress. It helps Tether balance risks in an unstable global economy and protect both its users and the company's reserves.

QWhat was the market reaction to the announcement of the Tether and Gold.com partnership?

AFollowing the announcement of the partnership, Gold.com's shares increased by 6%.

QBesides Gold.com, what other recent investment did Tether make to expand into regulated U.S. markets?

ATether also invested in Anchorage Digital, a federally regulated U.S. crypto bank that supports its new U.S.-regulated stablecoin, USAT.

Похожее

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

**Daily Tech & Markets Roundup: AI Advances, Market Turmoil, and Geopolitical Tensions** **AI / LLMs**: Anthropic's internal report on AI self-improvement sparked serious discussions about Recursive Self-Improvement (RSI). Meanwhile, debate continues on AI coding tools after Claude was accused of introducing bugs into the rsync codebase. In positive news, DeepSeek V4 Flash impressed in local deployment tests, and GitHub Copilot now supports custom endpoints for local models. A surprising research turn suggests removing chain-of-thought prompting can sometimes improve LLM performance. **Crypto / Web3**: Bitcoin plunged below $60,000, with its RSI hitting levels last seen during the COVID-19 crash, driven by strong U.S. jobs data reviving interest rate hike fears. Discussions highlight Ethereum DeFi's continued lack of a smooth consumer payment layer. **Chips / Hardware**: Chip stocks suffered a massive sell-off, with the Philadelphia Semiconductor Index posting its worst single-day drop in six years, erasing over a trillion dollars in value. Marvell, Micron, AMD, and Intel were among the biggest losers. **Tech Companies**: A leaked Microsoft document revealing goals to make Copilot "addictive" drew criticism. LinkedIn founder Reid Hoffman left Microsoft's board to focus full-time on his AI agent startup, Manus. Google was revealed to be paying SpaceX $920 million monthly for AI training compute. **Markets & Macro**: A blowout U.S. jobs report (172k vs. 80k expected) crushed hopes for near-term rate cuts, sending Treasury yields soaring and triggering a broad market sell-off. CEOs from Kraft, McDonald's, and Whirlpool simultaneously warned U.S. consumers are exhausting their savings. **Geopolitics**: U.S.-Iran tensions escalated with missile/drone interceptions and U.S. strikes on Iranian radar sites, keeping the critical Strait of Hormuz largely closed since late February and posing ongoing oil supply risks. **The Bottom Line**: The strong jobs data acted as a single trigger for correlated sell-offs across equities, crypto, and chips. Underlying the volatility is a stark contradiction between robust employment data and warnings of consumer weakness, alongside geopolitical risks that could reignite inflation, leaving markets to price in a fraught macro outlook with no clear "soft landing" path.

marsbit2 ч. назад

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

marsbit2 ч. назад

It Took Me a Year to See the Bitter Truth About Agent Payments

After a year building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, and Coinbase, the author shares a sobering analysis of the current state of Agent payments. The core finding is a stark lack of genuine, immediate demand across most envisioned use cases. The article breaks down four key market segments: 1. **Agent-to-Merchant (Consumer Shopping):** For most product categories (e.g., clothing, electronics), conversational AI shopping is a step backwards from visual e-commerce interfaces. While agents excel at understanding needs, they can't replace side-by-side product comparison. Real merchant interest is defensive "Agent Engine Optimization," not driven by current customer demand. Potential exists for high-frequency, low-decision purchases (like food delivery) or navigating complex store UIs, but these require massive B2C distribution channels dominated by giants like Amazon. 2. **Agent-to-API (Developer Services):** Developers already have subscriptions and billing relationships for APIs (compute, data). Prepaid balances solve micro-payment issues for low transaction volumes. A deeper structural problem is that major SaaS vendors' business models rely on enterprise contracts, resisting granular pay-per-call pricing. While protocols like MPP and x402 serve the long tail of niche services, this market is small and developers are historically low-willingness-to-pay. 3. **Agent-to-Agent:** This remains largely theoretical with minimal transaction volume. While it represents a long-term bet on a fundamentally new transaction infrastructure (sub-second, micro-penny to million-dollar, multi-party settlements), it does not constitute a present market. 4. **Agent-to-Finance:** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors established, regulated institutions. The "real problem" is not moving money between agents, but the broader challenge of **coordination**—orchestrating work between agents and humans, verifying outcomes, and settling results. Payment is just one component of settlement, which is itself part of coordination. Companies that solve the coordination layer will subsume payment, not the other way around. While well-funded incumbents build defensively for a long-term future, startups must find where the market is today—which, for the author's team, lies outside these four categories in an area of real, growing, and underserved activity.

marsbit3 ч. назад

It Took Me a Year to See the Bitter Truth About Agent Payments

marsbit3 ч. назад

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手3 ч. назад

It Took Me a Year to See the Hard Truth About Agent Payments

链捕手3 ч. назад

Торговля

Спот
Фьючерсы
活动图片