美国企业通常将税前利润的约21%作为联邦所得税交给社会，其余79%则归股东所有。然而，随著人工智慧的快速发展，若AI最终取代所有人类劳动力并创造全部经济价值，社会仅获得21%的分润可能显得过低。为了出于利他主义、行销宣传或避免社会反弹等考量，各大AI相关企业纷纷提出提高社会回馈比例的方案：例如OpenAI曾提议将5%股份交给美国政府，Anthropic宣布将5%股份投入新的公益基金以应对劳动力市场冲击（并随公司估值增长追加股份），而马斯克则承诺向每位美国儿童赠送一股SpaceX股票，展现了科技巨头对分配AI财富的不同愿景。
在追求财务自由的趋势下，人们对高收益被动收入的需求催生了被称为「股息游牧族」的群体。传统上，依赖土地或债券获取被动收入需要庞大的资本，而现代金融业则透过包装高风险交易来提供极高的名目收益率。例如，有投资者仅凭13万美元储蓄，投资于透过卖出Coinbase股票买权来创造高达58%年化配息率的衍生性商品ETF（如CONY），借此辞职并在东南亚旅居；然而当标的股价大跌时，基金净值与配息也随之重挫，显示将高风险的选择权交易包装成稳定股息在结构上难以长期维持，除非未来能实现由AI创造无限财富并发放全民股息的终极理想。
此外，金融市场与商业社会还出现了多项奇特现象。在ETF领域，随著芝加哥商品交易所推出与美职棒及冰球球队表现挂钩的指数期货，市场正迎来一波针对个别运动队伍甚至球员的「体育博彩ETF」浪潮；在商学院教育方面，有剑桥学者批评MBA课程过度灌输股东利益至上，呼吁将其改组为涵盖合作社与工会研究的「组织学院」，但作者认为多数学生就读MBA本就是为了赚取高薪；而在大宗商品市场，尽管芝加哥大学学生在芝商所外抗议1958年通过的《洋葱期货法案》已经过时，但菲律宾近期却查获一起导致洋葱价格贵过肉类的非法垄断案，证明洋葱市场的操纵风险依然存在。
US corporations typically allocate about 21% of their pre-tax profits to society via federal income taxes, leaving the remaining 79% for shareholders. However, if artificial intelligence eventually renders human labor obsolete and captures all economic value, a 21% societal share may prove insufficient. Driven by altruism, marketing, or a desire to preempt public backlash, major tech leaders are proposing ways to increase society's cut: OpenAI previously floated giving 5% of its stock to the US government, Anthropic announced plans to commit 5% of its shares to a new Public Benefit Fund to mitigate labor market disruptions (with provisions to increase the stake as valuation grows), and Elon Musk pledged to give one SpaceX share to every American child, illustrating competing visions for distributing AI-generated wealth.
The pursuit of financial independence and high-yield passive income has given rise to a community of "dividend nomads." While living off passive income traditionally required millions in capital invested in low-yield land or bonds, modern finance packages high-risk strategies into high-yielding retail products. For instance, one investor quit his job to travel across Southeast Asia on just $130,000 in savings by investing in derivative income ETFs like CONY, which boasts a 58% annual payout generated by selling call options on Coinbase stock; yet when the underlying stock tumbled, the ETF's value and distributions plunged, highlighting that disguising risky options trading as steady dividends is unsustainable short of a future where AI generates limitless abundance for everyone.
Meanwhile, several other quirky developments are unfolding across financial markets and business culture. In the ETF space, following CME Group's listing of futures tied to MLB and NHL team performance indexes, issuers are preparing a massive wave of thousands of sports-gambling-style ETFs tied to specific franchises and players; in academia, a Cambridge professor argued that MBA programs should be dismantled in favor of "schools for organizing" because they overly prioritize shareholder value, though the author notes students attend business school precisely to make money; and in commodities, right as University of Chicago students protested the 1958 Onion Futures Act as an outdated relic, Philippine regulators imposed record fines on an onion cartel that drove vegetable prices higher than meat, proving that onion market manipulation remains a real threat.