# Пов'язані статті щодо Labor

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Labor", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

The Permanent Underclass: No One Can Answer That 17-Year-Old Child

The article "The Permanent Underclass: No One Has an Answer for That 17-Year-Old" explores the concept of a "permanent underclass" emerging in a future where AI can perform most cognitive and physical labor. This theory, gaining traction in tech circles, suggests that as AI reduces the need for human workers, wages lose importance, and wealth increasingly flows to those who own AI models, compute, and data. The core issue is not temporary poverty but the potential breakdown of the traditional ladder of upward mobility—through labor, bargaining, and asset accumulation—making "underclass" a permanent status. The piece highlights a poignant question posed by researcher Jasmine Sun to AI lab personnel: What advice would you give a typical 17-year-old facing this future? Most had no answer, acknowledging the frightening transition ahead. However, while struggling to advise others, many in the AI field are securing their own positions, shifting from research or policy into labs to gain equity and stand on the "capital" side. This creates a vicious cycle: the more people believe labor's bargaining power is vanishing, the fewer work to rebuild it, accelerating its decline. Common personal survival strategies—learning AI skills, acquiring AI company equity, or pivoting to hands-on, in-person work—are analyzed. The author argues these are largely stopgaps, accessible mainly to the privileged, and may collectively undermine labor's overall position. The fundamental question shifts from "how not to fall behind" to "why must one's survival depend on being needed by capital?" The article concludes that the real solution is not individual adaptation but building a new societal "negotiating table"—new laws, forms of collective bargaining, or redistribution mechanisms (like taxes or public funds) to ensure the wealth AI creates is shared, especially with those displaced. It contrasts tentative institutional responses in China with a potential regulatory vacuum in the US, warning that without such frameworks being established before public frustration boils over, social unrest could follow. The 17-year-old’s dilemma underscores a systemic failure: the architects of this future are buying personal insurance but offering no collective answers.

marsbit2 дні тому 08:12

The Permanent Underclass: No One Can Answer That 17-Year-Old Child

marsbit2 дні тому 08:12

Understanding Circle Founder's "Agentic Economy" Treatise: Deciphering How the Economic Landscape Will Be Reshaped in the Next Decade

This text summarizes the key points from Jeremy Allaire's treatise "The Agentic Economy." It argues that the convergence of AI agents (driving the cost of thought and work toward zero) and blockchain-based onchain economies (driving transaction costs toward zero) are not separate trends but two facets of a single, emerging economic system. The core premise is that AI agents will decompose traditional corporate functions into automatable skills, managed by an "orchestration layer." This demands a new economic infrastructure built on fully-backed, programmatic stablecoins for fast, final settlement and machine-speed payments. Trust is enabled through an "accountability chain" linking agents to verified real-world identities on public blockchains. The treatise explores how this native global system reshapes credit (through machine underwriting and agent working capital), software pricing (shifting from subscriptions to consumption/pay-per-work), and corporate structure (leading to hybrid "onchain companies"). It frankly addresses significant risks: a potential decline in labor's share of income and dangerous concentration of power at control points like identity layers and dominant currency issuers. The concluding "Civic Vision" argues the solution is not to defend old jobs but to deliberately design for broad ownership of productive capital (agents, models, infrastructure) to distribute prosperity. It acknowledges that achieving this equitable outcome is a political and design challenge, not a technological inevitability.

Odaily星球日报07/15 02:09

Understanding Circle Founder's "Agentic Economy" Treatise: Deciphering How the Economic Landscape Will Be Reshaped in the Next Decade

Odaily星球日报07/15 02:09

Multicoin Partner: The World Turned Upside Down, Humans Will Work for AI in the Future

Multicoin Capital partner Shayon Sengupta argues that the future of AI will invert the traditional labor paradigm: rather than AI agents merely working for humans, humans will increasingly work for AI agents. He predicts the emergence of the first "Zero-Employee Company" within 24 months—a tokenized AI agent that raises over $1 billion to solve open-ended problems (like curing rare diseases) and distributes over $100 million to humans who perform tasks on its behalf. Sengupta categorizes agents into two types: those optimizing existing GDP (handling defined tasks like customer support) and those creating new GDP (tackling uncertain, exploratory problems). While agents excel at computation and strategy, they still require humans for physical execution, complex judgment, and strategic guidance. Humans will serve as both labor contributors (completing real-world tasks) and as a strategic "board" providing high-level direction. Crypto infrastructure is identified as critical for coordination, offering global payment rails, permissionless labor markets, and token-based governance. As agents become more capable, human input may diminish, but robust ownership and governance structures must ensure they remain aligned with human values. Key enabling tools will include proof-of-agenthood/personhood systems, verifiable labor markets, and new capital formation mechanisms.

marsbit02/04 09:19

Multicoin Partner: The World Turned Upside Down, Humans Will Work for AI in the Future

marsbit02/04 09:19

From Cheap Customer Service to Billion-Dollar Leaks: The Dual Faces of India's Outsourcing Industry

An investigation into India's massive BPO (Business Process Outsourcing) industry reveals a dual reality of cost efficiency and severe security risks, highlighted by a major data breach at Coinbase. In December 2025, Coinbase’s CEO announced the arrest of a former customer support employee in Hyderabad, India, linked to a $400 million data leak. The employee, working for outsourcing firm TaskUs, allegedly stole and sold user data for substantial personal gain—earning up to 200 times their daily wage per photo of sensitive information. This incident is not isolated. Companies like Amazon and Microsoft have also experienced similar breaches due to insider threats from underpaid Indian外包 employees, who often earn as little as $300–500 per month. Despite these risks, India remains the global leader in BPO, with its market valued at around $50 billion in 2024 and projected to grow significantly. The country’s advantages include low labour costs, English proficiency, and time-zone benefits for Western companies. However, the industry is evolving. Many multinationals are now establishing Global Capability Centers (GCCs) in India for higher-value work like R&D and AI, leveraging local talent for innovation at lower costs. Meanwhile, repetitive low-end tasks face growing competition from automation and AI. While companies like Coinbase continue to rely on Indian outsourcing for economic reasons, the recurring security lapses underscore ongoing management challenges and the human cost behind the industry’s “cheap labour” model.

比推01/06 15:18

From Cheap Customer Service to Billion-Dollar Leaks: The Dual Faces of India's Outsourcing Industry

比推01/06 15:18

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