Tether buys 27 tons of gold, but its tokenized market share slips – Why?

ambcryptoPublicado a 2026-01-27Actualizado a 2026-01-27

Resumen

Tether purchased 27 metric tons of gold in Q4 2025, continuing its aggressive accumulation strategy amid macroeconomic uncertainty and strong safe-haven demand. Gold surged 64% in 2025 and broke the $5,000 mark in 2026, driving retail interest in tokenized gold. Tether Gold (XAUT), backed 1:1 by physical gold, saw its market cap grow to $2.24 billion in early 2026. However, despite this growth, Tether's dominance in the tokenized gold market dropped from 60% to 50%, as competitors like Pax Gold and Kinesis Gold gained traction. The overall tokenized gold market exceeded $5.2 billion, with further growth expected due to ongoing geopolitical and economic risks.

Tether continued its gold buying spree in late 2025, driven by macro uncertainty and growing demand for safe‐haven assets. According to its latest transparency report, the world’s largest stablecoin issuer purchased 27 metric tons of gold in Q4 2025.

This was nearly the same amount of gold as it acquired in Q3, 2025. In fact, its 2025 buying spree rivaled demand from central banks, as the metal crossed new highs and broke key psychological levels.

In 2025, gold posted a 64% gain and is up another 17% so far in 2026, crossing the $5000 mark for the first time.

This explosive run has also driven retail demand for tokenized gold, with the Tether gold [XAUT] market supply growing over 3x from $600 million to $ 1.8 billion by the end of 2025.

In early 2026, Tether Gold’s market cap rose to $2.24 billion, up 26% in January alone, further underscoring investors’ interest in the tokenized gold. The firm’s aggressive demand for gold is used to back issued XAUT tokens on a 1:1 basis, the report noted.

Commenting on the report, Tether’s CEO Paolo Ardoino said,

“Through Tether Gold, we are operating at a scale that now places the Tether Gold Investment Fund alongside sovereign gold holders, and that carries real responsibility.”

Ardoino added that XAUT exists to ‘remove ambiguity’ as confidence in monetary systems weakens and is put to a stress test by institutions and people.

Tether’s share in tokenized gold market drops

That said, the tokenized gold boom has also seen Tether’s market share trimmed by nearly 10%. According to CoinGecko data, Tether gold held nearly 60% market dominance as of November 2026.

However, in early 2026, Tether Gold’s market share had dropped to 50% ($2.6 billion), while Pax Gold, the second-largest tokenized gold, had a 40% market share.

Kinesis Gold appeared to be the rising star that has eaten into most of the market share. Its dominance rose from zero in November to nearly 8% as of early 2026.

Meanwhile, the tokenized gold market has surpassed $5.2 billion and could grow further if geopolitical tensions and macro uncertainty drive physical gold prices higher.


Final Thoughts

  • Tether added 27 tons of gold in Q4 2025, nearly the same amount bought in Q3, as the commodity extends its bull run into 2026.
  • However, Tether Gold has lost 10% of its market share amid the tokenized gold boom

Preguntas relacionadas

QHow much gold did Tether purchase in Q4 2025 and what was the reason behind this purchase?

ATether purchased 27 metric tons of gold in Q4 2025. This buying spree was driven by macro uncertainty and growing demand for safe-haven assets.

QWhat was the performance of gold in 2025 and early 2026, and what key price level did it cross?

AIn 2025, gold posted a 64% gain. It is up another 17% so far in 2026, crossing the $5000 mark for the first time.

QDespite the growth of its XAUT token, why did Tether's market share in the tokenized gold market drop?

ATether's market share dropped by nearly 10% because new competitors, particularly Kinesis Gold, entered the market and captured a significant portion of the growing tokenized gold sector.

QWhat is the current size of the total tokenized gold market and what factors could drive its further growth?

AThe tokenized gold market has surpassed $5.2 billion. It could grow further if geopolitical tensions and macro uncertainty continue to drive physical gold prices higher.

QAccording to Tether's CEO, what is the primary purpose of the XAUT token?

AAccording to CEO Paolo Ardoino, XAUT exists to 'remove ambiguity' as confidence in monetary systems weakens and is put to a stress test by institutions and people.

Lecturas 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.

marsbitHace 6 hora(s)

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

marsbitHace 6 hora(s)

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.

marsbitHace 8 hora(s)

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

marsbitHace 8 hora(s)

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.

marsbitHace 8 hora(s)

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

marsbitHace 8 hora(s)

Trading

Spot
Futuros
活动图片