Tether to Reduce Holdings of Commercial Debt in USDT Reserves

CryptoPotatoPubblicato 2022-04-14Pubblicato ultima volta 2022-04-14

Introduzione

The world’s leading stablecoin issuer Tether has stated that it plans to reduce its holdings of commercial debt in its reserves.

Tether’s chief technology officer, Paolo Ardoino, said the company will reduce its commercial debt holdings, speaking to CNBC on April 13 at the Paris Blockchain Week Summit.
The world’s largest stablecoin is currently backed by a mixed bag of commercial debt holdings, cash, and cryptocurrencies, but it has yet to produce a full official audit of its reserves.
“Over time we will keep reducing the commercial paper, we aren’t finished yet with the reduction,” he stated.
Tether CTO @paoloardoino tells me the company plans to reduce the amount of commercial paper in its reserves for $USDT as questions over the backing of the stablecoin continue. Important conversation @PBWSummit as this industry continues to develop pic.twitter.com/nwAuz3w4Ks
— Arjun Kharpal (@ArjunKharpal) April 13, 2022
Commercial Paper Reductions
Ardoino added that the firm had moved the money from this commercial paper to US Treasuries. Tether has already been reducing its commercial paper, or short-term corporate debt holdings, in an effort to provide more transparency regarding its reserves.
The company cut its commercial paper holdings by 21% in Q4 2021, additionally, it almost doubled its allocation to Treasury bills or short-term liquid government debt. Commercial paper made up a little over 30% of Tether’s total reserves in the fourth quarter, down from more than 44% in the third quarter.
There has been a lot of controversy regarding the stablecoin’s reserves, drawing a great deal of scrutiny from US lawmakers. The Commodity Futures Trading Commission (CFTC) fined Tether $41 million last year for “making untrue or misleading statements” that USDT was fully backed by fiat currencies.
Tether agreed to provide a breakdown of the assets backing its digital currency as part of a settlement with the New York Attorney General. However, it has yet to disclose which companies it holds commercial paper for.
“Our journey towards increased transparency is not finished yet,” Ardoino said but did not elaborate on further details.
Stablecoin Ecosystem Outlook
The current USDT supply is 82.6 billion, according to the Tether Transparency website. This is pretty close to its highest ever level and represents an increase of 80% over the past 12 months.
The vast majority of this supply is split almost evenly across the Tron and Ethereum networks, with the former having slightly more at 41.7 billion USDT. On April 13, the company announced that it had launched the stablecoin on Polkadot’s Kusama network.
Tether’s closest rival, Circle, has just over 50 billion USDC in circulation, which is an increase of 355% over the past 12 months. In total, the stablecoin market is worth $186 billion, which represents around 9.7% of the total cryptocurrency market capitalization.

Letture associate

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit52 min fa

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit52 min fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit1 h fa

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit1 h fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 h fa

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 h fa

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2 h fa

Token Inefficient, Economy Tokenless

marsbit2 h fa

Trading

Spot
Futures
活动图片