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

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbit9h ago

Has the 'Digital Gold' Narrative for BTC Failed?

marsbit9h ago

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手9h ago

Has BTC's 'Digital Gold' Narrative Failed?

链捕手9h ago

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit10h ago

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit10h ago

Trading

Spot
Futures
活动图片