Topics of Crypto World

This article systematically assesses whether AI + Crypto projects genuinely generate irreplaceable on-chain demand, analyzing factors such as PMF definition, demand rigidity, the advantages of on-chain settlement, data and incentive closed loops, retention, and unit economics. It also offers a practical research and filter checklist to assist investors and content creators in identifying high-quality opportunities.

This week’s recap highlights persistent macro uncertainty and soft market sentiment, with Bitcoin and Ethereum facing pressure amid weak flows. Meanwhile, institutional initiatives, Bitcoin infrastructure expansion, and selective narrative catalysts continued to drive development across the Web3 ecosystem.

It is reported that Gate's traditional asset category layout is comprehensive, covering the widest range on the entire network.

This journey would not have been possible without the trust of our users, partners, and team. On this occasion, I would like to share a few reflections on where we started, what we have learned, and how we see the road ahead.

USDS is a decentralized stablecoin launched by Sky Protocol as an upgraded version of DAI. It maintains its peg to the US dollar through overcollateralization and liquidation mechanisms, while supporting 1:1 conversion with DAI. Compared to DAI, USDS introduces improvements in incentive design, yield integration, and ecosystem scalability, making it a more composable stable asset within DeFi.

Gate Smart Leverage is an automated leveraged trading tool that requires no margin and carries no liquidation risk. It allows users to gain amplified exposure through a system that automatically builds and manages leveraged positions, delivering a trading experience similar to spot trading. Unlike traditional futures trading, it relies on dynamic leverage and automated risk controls to adjust positions, reducing complexity and the likelihood of liquidation. Compared with leveraged ETF tokens, Smart Leverage does not use fixed multiples but instead adapts to market conditions, making it better suited for volatile or complex markets. However, returns are not amplified by a fixed multiplier, and market risk and uncertainty still remain.

Pandu Pandas (PANDU) is a Web3 project that combines AI Companion, NFTs, and token economics to create a personalized digital companionship experience through intelligent interaction and on-chain identity systems. Users can interact with AI characters via text or voice, while the system continuously learns user preferences during these interactions to refine future responses, enabling long-term relationships with memory. Compared to traditional meme coins, Pandu Pandas introduces real functionality and practical use cases, shifting meme narratives from purely culture-driven to product-driven.

While Hong Kong’s crypto ETFs remain small, deeper shifts are underway. Rapid licensing expansion, RWA tokenization, and stablecoin regulation are driving TradFi integration. This piece examines regulatory overhaul, infrastructure buildout, and the path to closing the on-chain/off-chain gap.

According to CoinDesk's latest exchange report, Gate posted impressive results in Mar., as its Derivative trading volume entered the top three among centralized exchanges worldwide for the first time. Meanwhile, its Spot trading volume also ranked third globally, further strengthening its overall standing in the industry.

According to CoinDesk's latest Exchange Review, Gate delivered standout performance in March, becoming the world's third-largest centralized exchange in derivatives for the first time, while also ranking third globally in spot trading volume, marking a further step up in its position among leading global exchanges.

Pepe and Dogecoin both originated from internet culture, yet they differ fundamentally in their underlying structure and development paths. Pepe is an ERC-20 token built on Ethereum, relying on existing blockchain infrastructure, while Dogecoin operates on its own independent blockchain and uses a proof-of-work consensus mechanism to secure its network. Comparing them across technical architecture, consensus design, tokenomics, and community culture helps clarify the core differences between meme coins and their roles within the broader crypto ecosystem.

Pepe (PEPE) is a meme coin issued on the Ethereum network following the ERC-20 standard, inspired by the classic internet character Pepe the Frog. Unlike traditional crypto projects, Pepe does not emphasize complex technical functionality. Instead, it gains attention through community-driven spread and cultural consensus. From token mechanics and community dynamics to its use cases, Pepe represents a class of crypto assets driven primarily by narrative and network effects.

In March, BTC and ETH exhibited a “decline-then-stabilization” recovery pattern. Institutional allocation remained BTC-centric with ETH as a supplement. BTC ETFs recorded cumulative inflows of approximately $86.8 billion, while ETH ETFs saw around $12.6 billion. Within Gate Private Wealth’s quantitative funds, USDT strategies delivered an average annualized return of 5.7%. Xinghe Smart Investment (USDT) achieved the highest one-year return at 9.5%, while Interstellar Hedging (USDT) recorded a cumulative return of 18.0% with all 21 cycles profitable, achieving a 100% win rate. Gravity Hedging (USDT) maintained a maximum drawdown of just 0.01%, demonstrating strong stability. By the end of March, tensions around the Strait of Hormuz eased marginally, supporting a stable outlook for risk assets.

XRP has recently experienced ETF / ETP inflows, yet its price has not shown a corresponding breakout. This article examines the real reasons behind the “inflows without price increase” by exploring five core variables: capital structure, regulatory outlook, on-chain applications, marketplace microstructure, and the macro environment. It also provides a three-scenario price framework and key indicators to watch for XRP in 2026.

Drawing on the latest enterprise adoption trends and real-world market cases, this article provides a systematic analysis of how enterprise AI transitions from pilot programs to paid deployments. It explains why coding, customer service, and search are the first sectors to realize ROI, and evaluates—through the lenses of product structure, sales cycles, organizational change, and valuation logic—the most promising application tracks and risk parameters to watch for in 2026–2027.