# NFT Related Articles

HTX News Center provides the latest articles and in-depth analysis on "NFT", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

US SEC and CFTC Jointly "Unbind": Crypto Assets Are "Digital Commodities" Not "Securities"

The U.S. SEC and CFTC have jointly issued new interpretive guidance clarifying that most crypto assets are not securities. Instead, they are classified as digital commodities, digital collectibles, digital tools, or stablecoins—provided stablecoin issuers do not pay interest. Only tokenized assets that represent traditional financial instruments are considered securities. Key classifications include: - Digital commodities (e.g., Bitcoin, Ethereum) are non-securities whose value derives from utility and market dynamics. - Digital collectibles (e.g., NFTs, meme coins) are for collection or use. - Digital tools (e.g., membership tokens, credentials) serve functional purposes. - Stablecoins are non-securities if they do not pay yields. The guidance also states that DeFi mining, staking, wrapped assets, and airdrops generally do not constitute securities offerings—unless airdrops require active effort (creating an investment contract risk). Notably, a token initially sold as a security can later be reclassified as a non-security if it becomes decentralized or gains utility. This clarity is expected to benefit crypto IPOs (e.g., exchanges like OKX and Kraken), DeFi protocols, and prediction markets like Polymarket by reducing regulatory uncertainty and attracting institutional liquidity. However, increased regulatory alignment may reduce innovation in gray areas and raise compliance costs. Overall, the move signals tighter integration with mainstream finance, potentially ensuring the industry’s broader adoption and stability.

Odaily星球日报03/18 10:18

US SEC and CFTC Jointly "Unbind": Crypto Assets Are "Digital Commodities" Not "Securities"

Odaily星球日报03/18 10:18

The True Replay of the Internet Bubble Is Web3, Not AI

Author TVBee argues that Web3, not AI, is the true reenactment of the 2000 dot-com bubble. The article compares the three sectors: the historical internet bubble, the current AI boom, and Web3. During the 2000 bubble, capital was focused on the supply side with many unprofitable companies, while demand-side applications were scarce due to limited internet access and primitive technology. In contrast, the current AI boom is primarily driven by infrastructure leaders like NVIDIA and AMD, which have substantial profits. Demand-side applications, such as various AI models and tools, are growing and integrating into more use cases, though the ecosystem is still developing. Web3, however, is criticized for its significant supply-side speculation with high valuations based on minimal revenue (e.g., ZKsync's $1.76B市值 vs. $458 daily income). Demand-side applications are limited mostly to DeFi, memecoins, and prediction markets, with much activity driven by airdrop farming rather than genuine utility. The author concludes that Web3, with its hype-driven capital and lack of practical products, mirrors the 2000 bubble most closely. Predictions include a likely U.S. stock market correction (but not a crash), a moderate impact on Bitcoin, and a prolonged, painful consolidation for altcoins to separate valuable projects from speculative ones. The author warns that the altcoin market decline since late 2024 is not yet over.

marsbit03/13 09:31

The True Replay of the Internet Bubble Is Web3, Not AI

marsbit03/13 09:31

When AI Takes Over Productivity, Which Web3 Jobs Begin to Disappear?

In the evolving landscape of Web3, the integration of AI and automation is reshaping the job market, leading to the decline of certain roles while creating new opportunities. Jobs that involve repetitive or standardized tasks are increasingly being automated. These include: - Junior Solidity developers, as AI can generate standard smart contract code. - Web3 researchers/analysts, with AI handling data analysis and report generation. - Community managers and customer support roles, replaced by AI-driven communication systems. - Crypto traders, outperformed by AI in speed, data processing, and execution. - NFT content creators and low-barrier NFT creators, as generative AI produces art quickly, reducing demand for basic creative work. Simultaneously, new roles are emerging that require interdisciplinary skills: - AI × Web3 architects, designing integrated AI-blockchain systems. - AI Agent training coordinators, managing multi-agent behaviors in DeFi and DAOs. - Web3 prompt engineers, crafting prompts for code generation and AI interactions. - AI on-chain data analysts, extracting insights from blockchain data using AI models. - AI-powered smart contract auditors, enhancing security with automated tools. - Web3 automation strategy designers, developing algorithmic systems for DeFi. Overall, Web3 teams are becoming smaller but more efficient, with a growing emphasis on advanced, cross-disciplinary expertise in architecture, security, and innovation. AI is not diminishing Web3’s potential but is driving it into a new phase of growth, where creativity and technical depth are paramount.

比推03/05 06:00

When AI Takes Over Productivity, Which Web3 Jobs Begin to Disappear?

比推03/05 06:00

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