Crypto Goes Davos: Ripple And Hedera Step Into WEF Week

bitcoinistPublished on 2026-01-15Last updated on 2026-01-15

Abstract

Ripple CEO Brad Garlinghouse will participate in a World Economic Forum (WEF) panel titled "Is Tokenization the Future?" during Davos 2026, alongside leaders from Coinbase, Standard Chartered, and the ECB. The discussion will focus on tokenization's transition from pilots to mainstream financial infrastructure. Ripple is also a sponsor of the privately organized USA House venue. Hedera is an official sponsor of USA House and will contribute to high-level discussions on digital assets, AI, and central banking. It is also sponsoring the Global Blockchain Business Council’s "Blockchain Central Davos." Additionally, Hedera's carbon-market initiative, EcoGuard Global, will launch at Davos, offering end-to-end digital infrastructure for high-integrity carbon markets, built on the Hedera network.

Ripple CEO Brad Garlinghouse is slated to appear on a World Economic Forum (WEF) panel on tokenization during Davos 2026, while Hedera says it will sponsor and participate in a slate of senior-level events running alongside the annual gathering. The WEF Annual Meeting 2026 is scheduled for Jan. 19–23 in Davos-Klosters.

Ripple Joins WEF Davos Tokenization Panel

Garlinghouse is once again listed among the public speakers for a WEF session titled “Is Tokenization the Future?” set for Jan. 21 (10:15–11:00 CET). The panel also lists Coinbase CEO Brian Armstrong, Standard Chartered CEO Bill Winters, ECB Governor François Villeroy de Galhau, Eurazeo CEO Valérie Urbain, and moderator Karen Tso.

The session framing is explicitly market-structure oriented, positioning tokenization as something moving beyond pilots and into mainstream financial rails. In the WEF description, organizers write: “Asset tokenization is accelerating quickly, moving from early experiments to full deployment across major asset classes. As adoption expands, it promises new ways for individuals to invest while presenting traditional firms and emerging innovators with complex new dynamics.”

A separate thread of Ripple’s Davos presence may run through “USA House,” a privately organized venue that typically operates in parallel with the official WEF perimeter. Venue materials list Ripple among sponsors of USA House for Davos 2026.

Hedera Brings EcoGuard Global To Davos

Hedera, for its part, is leaning into Davos week as a convening calendar rather than a single stage appearance. In a statement via X, Hedera announced: “Hedera is proud to be an official sponsor of the USA House during the WEF Annual Meeting in Davos, and will contribute to senior-level discussions on digital assets, AI, central banking, and G20 coordination.”

Hedera is also sponsoring Global Blockchain Business Council’s “Blockchain Central Davos,” which runs Jan. 19–22 alongside the WEF meeting, according to Hedera and GBBC materials.

Separately, a Hedera-built carbon-market initiative called EcoGuard Global is scheduled to officially launch in Davos on Jan. 20 at Turmhotel Victoria (3:00–6:00 PM), per EcoGuard’s announcement.

The EcoGuard description pitches an end-to-end infrastructure play around integrity and lifecycle accounting:

“EcoGuard Global is a full carbon lifecycle company building and operating digital infrastructure and managed marketplaces—while actively participating in carbon markets as a developer, investor, and market enabler for high-integrity climate projects... Built on the Hedera network by The Hashgraph Group, EcoGuard Global combines trusted digital infrastructure with market operations, capital, and partnerships to support credible, investable, and scalable carbon markets.”

At press time, HBAR traded at $0.12134.

HBAR remains below the 200-week EMA, 1-week chart | Source: HBARUSDT on TradingView.com

Related Reads

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.

marsbit11h ago

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

marsbit11h ago

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.

marsbit13h ago

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

marsbit13h ago

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.

marsbit13h ago

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

marsbit13h ago

Trading

Spot
Futures
活动图片