# Automation Related Articles

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

Real Vision Founder: When Machines Take Over the Global Economy, Cryptocurrency Becomes Their Sole Payment Channel

In approximately two years, the vast majority of global economic activity will be conducted without direct human involvement, according to Raoul Pal, founder of Real Vision. This new economy will be driven by billions of autonomous AI agents executing trades, hedging, and clearing amongst themselves in milliseconds—far faster than human perception. This shift is driven by a fundamental crisis in the old economy: shrinking workforces and stagnant productivity in aging Western societies. Unable to generate organic growth, governments resort to debt and currency debasement. The proposed solution is a new, silicon-based labor force. However, this machine economy cannot function on human banking systems. Banks are ill-suited for machines, requiring human identity verification, struggling with sub-cent transactions, and operating too slowly with weekend closures. In contrast, blockchain technology offers instantaneous, borderless settlements 24/7, with programmable money and precision to 18 decimal places. It is the only viable payment rail for machines. The core of this transformation is tokenization—converting real-world assets and data into machine-readable, tradable packets. This goes far beyond tokenizing stocks or bonds; it encompasses data, identity, energy, storage, and compute, creating entirely new markets where machines buy and sell information. While some fear job losses, Pal argues the focus is misplaced. The real disruption is to the human wage system, which historically priced scarce human labor. When silicon labor becomes abundant and cheap, compensation mechanisms must change. Wealth will flow to the owners of the machines and the foundational infrastructure they run on—the blockchain networks. For the first time, this infrastructure is globally accessible. Pal's conclusion: individuals should seek to own a part of this foundational layer, as it will capture the value of the coming machine-driven economic singularity.

marsbit08/06 23:56

Real Vision Founder: When Machines Take Over the Global Economy, Cryptocurrency Becomes Their Sole Payment Channel

marsbit08/06 23:56

Sailor from Strategy Company Claims ChatGPT Facilitated a $15 Billion Financial Breakthrough

Strategy executive chairman Sailor, in an interview on "The Diary of a CEO" podcast, stated that AI contributed to a $15 billion financial breakthrough for the company. Facing limitations with traditional convertible bond financing for Bitcoin purchases, Strategy used ChatGPT to design a novel financial security called STRK, a preferred share structure combining debt and equity instruments. Sailor claimed this AI-proposed solution, which initially faced resistance from lawyers and bankers, unlocked billions in investor capital. He positioned Bitcoin as "digital capital" and AI as "digital intelligence," arguing they are transformative technologies. Bitcoin enables global asset transfers without intermediaries, while AI boosts productivity by solving complex problems. Sailor advised entrepreneurs to leverage AI for unprecedented innovations rather than compete with it directly. The discussion covered Bitcoin's advantages over traditional finance (TradFi) for preserving value, criticizing fiat inflation and the long-term returns of residential real estate. Sailor also predicted AI will rapidly automate intellectual professions like accounting and legal work, shifting human roles towards managing AI. He emphasized learning emerging technologies over mature industries. Sailor views both Bitcoin and AI as early-stage technologies. He believes their combination will define the next generation of finance, creating entirely new products and business models.

cryptonews.ru08/06 20:31

Sailor from Strategy Company Claims ChatGPT Facilitated a $15 Billion Financial Breakthrough

cryptonews.ru08/06 20:31

Debate: Korean Workers Fear Unemployment, While Musk Envisions a Society 'Without Work'?

While South Korean auto workers fear job losses from robotics, Elon Musk envisions a future where AI and robots render most work optional. This article explores the growing tension between immediate anxieties over automation and long-term visions of a post-work society. The piece begins with recent strikes at Hyundai's Korean plants, where unions, amid standard wage negotiations, also sought job guarantees against advancing robotics—specifically mentioning Boston Dynamics' Atlas. This reflects how anxiety about technological displacement is emerging even before robots are fully capable of replacing skilled labor on assembly lines. The author argues that while current robotics still struggle with the nuanced, experiential knowledge of veteran workers, the *perception* of imminent replacement is fueling social conflict prematurely. This modern "Luddite" sentiment is compared to the 19th-century English textile workers who smashed machines. Historically, Luddites weren't simply anti-technology; they were protesting the rapid devaluation of their skills and the unequal distribution of productivity gains. Similarly, today's workers ask who will bear the cost of transition and share in the new wealth created by machines. In contrast, figures like Elon Musk propose an optimistic endpoint: with AI and robotics driving extreme abundance, the link between work and survival could break. He suggests concepts like "Universal High Income" could allow society to share the technological bounty, transforming work from a necessity into a choice. The core challenge, however, lies in the transition. The author notes that technology's benefits diffuse slowly, while its disruptive costs—job losses, skill obsolescence—can be concentrated and immediate. The risk is a painful interim period where productivity gains are captured by a few before new social contracts, safety nets, and retraining systems are established. The conclusion calls for proactive governance. Just as past industrial revolutions gave rise to labor standards and social safety nets, the robotics era needs its own frameworks. These should address job transition support, distribution of productivity gains, safety liability, and ethical deployment. Embracing such "constraints" is not opposition to progress but a necessary step to ensure technology benefits society broadly. The discussion sparked by Hyundai's workers, therefore, is not premature but essential.

marsbit08/03 10:10

Debate: Korean Workers Fear Unemployment, While Musk Envisions a Society 'Without Work'?

marsbit08/03 10:10

Dalio's Latest Interview: 3 Major Signs of an AI Bubble Bursting, and How to Respond?

In a recent interview, Ray Dalio discusses the current AI investment bubble, drawing parallels to past speculative frenzies like the dot-com bubble. He explains that such bubbles form when revolutionary technology, like AI, sparks massive investor excitement and debt-fueled investment, driving prices beyond fundamentals. Dalio outlines three key signs of an impending bubble burst: 1) Rising interest rates forcing asset sales, 2) A significant increase in stock supply from companies issuing shares, and 3) Ownership shifting from strong hands to inexperienced, often leveraged, retail investors. To navigate this uncertainty, he advocates for a diversified portfolio across assets like stocks, bonds, real estate, and notably gold (5-15% allocation), which he views as a true "hard asset." He expresses skepticism towards Bitcoin as "digital gold," citing potential technological and governmental risks. Regarding AI's impact, Dalio believes the primary beneficiaries will be the capitalists who own the automating technology, potentially widening wealth inequality as AI replaces both physical and cognitive labor. However, he contends that humans with exceptional interpersonal skills, emotional intelligence, and collaboration abilities will remain highly valuable. Finally, on his theory of ~80-year major cycles in world order, Dalio notes that while timing isn't precise, current indicators suggest we are in the vicinity of a significant transitional period. His core investment advice remains to avoid market timing and focus on diversification.

marsbit08/03 08:19

Dalio's Latest Interview: 3 Major Signs of an AI Bubble Bursting, and How to Respond?

marsbit08/03 08:19

Алгоритмы в криптовалютах: как работает стратегия «Криптоинструменты» от «Финама»

Algorithms in cryptocurrency offer investors a way to manage digital assets without emotional decisions. Finam's "Crypto Instruments" strategy employs an algorithmic approach focused on systematic trading rather than market speculation. The article explains that in crypto, algorithms fall into two main categories: 1) consensus algorithms (like Proof-of-Work and Proof-of-Stake) that secure blockchain networks, and 2) trading algorithms for automated execution. Finam's strategy is a trend-following model designed for medium-term upward trends. It automatically trades a basket of nine major and meme cryptocurrencies (like Bitcoin, Ethereum, Dogecoin) available on its platform. The algorithm seeks to enter positions early in a trend and exit during downtrends, moving capital to conservative instruments. It does not engage in short selling. Key features include full automation, a focus on discipline over emotion, and risk management like the 1% rule per trade. It's intended for qualified investors with a minimum entry of ~90k RUB and handles Russian tax reporting. Historical backtesting over four years showed approximately 400% total return with a max drawdown under 20%, outperforming a simple buy-and-hold approach on the same assets. However, future returns are not guaranteed and depend on market conditions, with an estimated annual return of around 60% being a potential scenario in a bullish market. The core principle is portfolio diversification and systematic execution. The strategy's main limitations are its inability to profit from falling markets, vulnerability to prolonged sideways markets with false signals, and its dependence on the emergence of clear upward trends. It is positioned as a high-risk portfolio component, not a source of guaranteed returns.

cryptonews.ru07/31 16:51

Алгоритмы в криптовалютах: как работает стратегия «Криптоинструменты» от «Финама»

cryptonews.ru07/31 16:51

Analyzing the Impact of AI on Economic Growth and Productivity

**Title: Analyzing AI's Impact on Economic Growth and Productivity** This article examines three contrasting views on AI's influence on economic growth and productivity. **The Optimistic View** posits that AI, especially through automating R&D ("recursive self-improvement"), could dramatically accelerate growth, even triggering a technological "singularity" with explosive, potentially infinite, economic expansion. **The Moderate/Mainstream View** acknowledges AI's productivity benefits but emphasizes significant real-world constraints that could limit its impact. These include: limited cost savings per task, structural ceilings on which jobs and industries are "exposed" to AI, adoption bottlenecks (e.g., compute, energy, regulatory hurdles), and the "weak link" effect where non-automatable tasks cap overall gains. Consequently, the realized AI dividend may be far lower than optimistic projections, with estimates typically ranging from 0.1% to 1.3% annual productivity growth. **The Pessimistic View** stems from two strands. The first aligns with the moderate view but applies extremely conservative assumptions about task exposure and efficiency gains, yielding minimal projected impact. The second introduces a demand-side critique: if AI primarily replaces rather than augments labor, it could depress labor's share of income, weaken consumer demand, and create a "demand trap" that ultimately stifles growth, unless offset by redistribution policies. **The authors' assessment** is nuanced: * **Short-term (1-2 years):** AI will support growth primarily through investment spending, not significant productivity gains. * **Medium-term (3-5 years):** Three potential paths emerge based on AI demand and bottleneck severity: 1. **"Optimistic Path":** High demand, few bottlenecks. Rapid productivity gains but risk of major job displacement and social conflict without redistribution. 2. **"Moderate Path" (most likely):** High demand but significant, surmountable bottlenecks. Leads to moderate productivity gains, financial market volatility (K-shaped returns), and sectoral job losses. 3. **"Pessimistic Path":** Low demand or severe bottlenecks. Minimal productivity and growth impact, triggering financial market corrections but allowing a smoother societal transition with less labor disruption. * **Long-term:** AI holds potential for a major productivity revolution and prosperity. The conclusion stresses that no path is smooth. Technologically "optimistic" outcomes could be socially detrimental, while "pessimistic" technological diffusion might be more socially stable. Policymakers must monitor developments and prepare balanced responses to manage economic, financial, and social sustainability.

marsbit07/31 10:46

Analyzing the Impact of AI on Economic Growth and Productivity

marsbit07/31 10:46

Luno Cuts 20% of Global Workforce as Cryptocurrency Exchange Shifts Priorities Towards Automation

Luno, a global cryptocurrency exchange owned by Digital Currency Group, is reducing its global workforce by 20% as part of a major operational restructuring driven by a downturn in retail crypto activity and increased automation. CEO James Lanigan announced the layoffs on July 28, stating it was a difficult but necessary decision to build a more sustainable structure for the long term. The company did not disclose the total number of affected employees, though South African staff are among those impacted, with formal consultations initiated there in line with local labor laws. This marks the second major round of layoffs in three and a half years, following a 35% staff reduction in January 2023. The company cites cyclical declines in retail user activity and ongoing investment in automated tools as key factors behind the restructuring, which has fundamentally changed the firm's resource needs. Concurrently, Luno is reorganizing into three unified divisions built on a single core platform: 1) a consolidated consumer and API platform serving over 16 million users in Africa and Asia-Pacific, 2) a stablecoin solutions unit focused on the zar-backed 'Zaru' stablecoin launched in February 2026, and 3) an institutional arm offering OTC services and cross-border settlement networks. This restructuring follows recent market withdrawals, with Luno discontinuing services in certain markets from September 1, 2026.

cryptonews.ru07/30 05:22

Luno Cuts 20% of Global Workforce as Cryptocurrency Exchange Shifts Priorities Towards Automation

cryptonews.ru07/30 05:22

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