# Wealth Related Articles

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

Robinhood Gains a New Batch of Stock Investors, the Oldest is 1 Year Old, the Youngest is -3 Years Old

On April 6, the U.S. Treasury announced that Robinhood, in collaboration with BNY Mellon, has been selected as the broker and initial custodian for the "Trump Accounts" (also known as 530A accounts). Established under the "Big and Beautiful" Act authorized by former President Trump in June 2025, the program aims to create tax-advantaged investment accounts for children born between January 1, 2025, and January 1, 2029. Each account will receive an initial $1,000 from the federal government. Private donations, such as Michael Dell’s $6.25 billion contribution, will add $250 for eligible lower-income families. Families can also deposit up to $5,000 annually per child. Funds are restricted to low-cost index funds or ETFs tracking broad market indices like the S&P 500 and cannot be withdrawn until the child turns 18. With an estimated 14.4 million children eligible, the program could inject over $14.4 billion in government funds alone, growing significantly with private and family contributions. This creates a long-term, passively managed pool of capital potentially worth hundreds of billions of dollars. Robinhood stands to benefit significantly by gaining millions of young users who will be tied to the platform from birth, with their accounts converting to IRA-like structures upon adulthood. This provides Robinhood with a long-term client base, stable custodial assets, and entry into government-backed financial infrastructure, diversifying its business beyond its traditional retail trading focus. The rollout is set for July 4, 2026, ahead of the midterm elections.

marsbit20h ago

Robinhood Gains a New Batch of Stock Investors, the Oldest is 1 Year Old, the Youngest is -3 Years Old

marsbit20h ago

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

The article "AI致富教程:先搞色色,再去卖课" (AI Money-Making Guide: Start with Adult Content, Then Sell Courses) explores how AI-generated content (AIGC) is being monetized, particularly through adult entertainment and low-barrier creative work, before ultimately shifting to selling instructional courses. A16Z’s report highlights a striking trend: in the U.S., user spending on OnlyFans surpassed combined spending on OpenAI and The New York Times. This reflects a broader pattern where “sexual appeal outperforms productivity.” Early adopters used tools like Midjourney and Stable Diffusion to create AI-generated virtual models, offering “girlfriend experiences” on platforms like Fanvue, where AI models now contribute significantly to revenue. Similarly, some turned to AI-generated children’s books, though market saturation and quality issues quickly diminished profitability. Both paths often lead to selling courses—packaging the “get-rich-quick” illusion to newcomers. However, the real barrier isn’t technical proficiency but aesthetic judgment: the ability to translate vague ideas into precise prompts. Those with design, photography, or writing backgrounds excel because they know what “good” looks like; others struggle even with advanced tools. The rise of AI also brings ethical and trust issues. Clients often reject AI-assisted work on principle, perceiving it as “unfair” or lacking human effort. Regulations now require AI-generated content labeling, but boundaries remain unclear—especially for hybrid human-AI creations. The core question isn’t just whether AI was used, but whether someone is genuinely accountable for the output. In summary, while AI lowers entry barriers for content creation, success still hinges on traditional skills like审美 (aesthetic sense), and the real money often moves from creating content to selling the dream of easy success.

marsbit03/23 10:52

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

marsbit03/23 10:52

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era This article analyzes the AI industry through a five-layer "AI stack" framework: energy, chips, cloud infrastructure, models, and applications. It argues that while public attention focuses on the top application layer (e.g., ChatGPT), the vast majority of capital investment and profits are currently concentrated in the underlying infrastructure layers. Key points include: - An estimated $700 billion in annual capital expenditure is flowing into AI infrastructure (energy, chips, data centers), not applications. - Infrastructure companies (Nvidia, TSMC, ASML) show massive profits and near-monopolies, while model companies (OpenAI, Anthropic) experience rapid revenue growth but burn enormous cash due to compute costs. - Historical parallels are drawn to the electricity revolution and internet infrastructure boom, where infrastructure builders captured most early value. - The article advises investors to focus on infrastructure layers currently generating concentrated profits, while acknowledging future value may shift to applications as the market matures. - Risks include capital misallocation, supply chain concentration, and efficiency breakthroughs (like DeepSeek's lower-cost models) that could disrupt current assumptions. The conclusion emphasizes understanding this layered structure, tracking capital flow, and participating at appropriate levels based on risk tolerance and expertise.

marsbit03/16 08:17

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era

marsbit03/16 08:17

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