Tether Submits Bid To Acquire Juventus Football Club — Details

bitcoinistPublicado em 2025-12-14Última atualização em 2025-12-14

Resumo

Stablecoin issuer Tether has submitted a bid to acquire a controlling 65.4% stake in Italian football club Juventus FC from the Agnelli family's holding company, Exor. This follows Tether's earlier investments, which it acquired a 10% stake in the club. Tether CEO Paolo Ardoino stated the move aims to provide stable, long-term capital to support the club's growth and performance. As part of the proposal, Tether has pledged to invest 1 billion euros into the club for sports development. However, reports indicate that Exor has stated Juventus is not for sale. Tether, the operator of USDT, has a market capitalization of $186.24 billion.

Stablecoin operator Tether has submitted a market bid to acquire a controlling stake in Italian football club Juventus FC. This development follows initial minor investments, as the USDT issuing company looks to deepen its involvement with the footballing institution.

Tether Promises 1 Billion Euros For Sport Development If Bid Succeeds

In Feb 2025, Tether announced a minority stake purchase of 8.2% in Juventus FC. The stablecoin issuer described this acquisition as a strategic move to integrate stablecoins and digital assets into everyday life. Two months later, Tether would boost its holdings to 10%, as the company’s CEO and lifetime Juventus supporter, Paolo Ardoino, explained the move as a commitment to long-term innovation.

Taking this step further, the USDT operator has submitted an audacious bid to acquire the entire 65.4% controlling stake of the football club from Exor, the listed holding company of the billionaire Italian Agnelli Family. For context, Juventus FC ranks as the third-largest Italian club with a market valuation of $1.87 billion. However, the Old Lady, as it is popularly called, is the most decorated in the land, boasting 71 major honors, which include 36 Serie A championships.

While Juventus’ momentum has slowed down in recent years, with its last league-winning campaign coming in 2020, the Italian giant has remained relevant by securing three domestic cup trophies since then. Paolo Ardoino explains that Tether’s objective is to contribute to Juventus’ growth and drive exceptional performance.

The Tether CEO said:

Tether is in a position of strong financial health and intends to support Juventus with stable capital and a long horizon. Our goal is to make a positive contribution to the club’s future, support its sporting performance at the highest level, and help Juventus continue to grow sustainably in a rapidly evolving global sports and media landscape.

To this end, Tether has promised to invest 1 billion Euros in the club if the transaction receives approval from relevant regulatory bodies. However, footballing media The Athletic has reported that sources close to Exor state the Agnelli Family has no intent to divest their stake in Juventus, with the message being “the club is not for sale.”

Notably, Juventus represents one of Tether’s investments, which also includes the Italian media company Be Water and the Canadian video platform Rumble.

USDT Market Overview

At the time of writing, USDT’s total market cap is valued at $186.24 billion, ranking as the largest stablecoin and third-largest cryptocurrency in the world.

USDT market cap valued at $186.23 billion on the daily chart | Source: USDT chart on Tradingview.com

Leituras Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHá 9h

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHá 9h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHá 11h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHá 11h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHá 11h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHá 11h

Trading

Spot
Futuros
活动图片