# 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.

After Integrating OpenClaw into Every Aspect of My Life, I Personally Switched It Off

After extensively using OpenClaw (formerly Clawdbot and Moltbot) for over a month as a 24/7 AI assistant integrated with Telegram, email, and calendar, the author decided to shut it down. The primary reasons were its unreliability in long-term memory retention despite claims, high and unpredictable API costs (over $150 monthly), and significant security vulnerabilities, including exposed API keys and unauthorized data transmission. The author realized that a constantly running AI was unnecessary for most valuable tasks, which were better handled through active, intentional work. The core functions of OpenClaw—remembering user context and automating tasks—were effectively replicated using Claude’s ecosystem. By creating a consolidated CLAUDE.md file (replacing OpenClaw’s multiple configuration files), leveraging Claude’s built-in memory features, and integrating with Obsidian via CLI for efficient knowledge management, the author achieved similar functionality with greater reliability. For mobile access, Claude’s Remote Control feature or a Telegram bot solution provided seamless interaction. Scheduled tasks were handled through Claude’s Cowork feature, avoiding the cost of continuous API checks. Ultimately, Claude Pro or Max subscriptions offered a more predictable cost structure ($20–$200/month) and a stable, secure environment. The author concluded that Claude’s ecosystem delivers nearly all of OpenClaw’s promised benefits without the operational headaches, making it a superior choice for practical AI assistance.

marsbit03/02 10:13

After Integrating OpenClaw into Every Aspect of My Life, I Personally Switched It Off

marsbit03/02 10:13

a16z: What Entrepreneurial Opportunities Lie in the Blue Ocean of Agent Payment Transactions?

a16z explores the emergence of AI Agents as autonomous economic actors and the resulting shift in payment infrastructure. Unlike human "tourists" who engage in one-off retail transactions, Agents behave more like "locals"—relying on pre-negotiated B2B terms, supplier relationships, and credit systems. This shift challenges traditional card-based payment rails, which are ill-suited for high-frequency, micro-value, or programmatic transactions. Key insights include: - Agents will operate like scaled platforms, leveraging long-term partnerships rather than per-transaction negotiations. - Existing payment systems (e.g., credit cards) face technical and economic constraints (e.g., minimum fees, lack of programmability) for Agent-driven commerce. - Stablecoins emerge as a superior alternative due to their global reach, low cost, and programmability—enabling features like streaming payments, microtransactions, and automated arbitration. The article argues that stablecoins can serve as the foundational layer for future Agent payment ecosystems, facilitating seamless integration, reduced friction, and new financial primitives like dynamic billing and cross-system interoperability.

marsbit03/02 09:06

a16z: What Entrepreneurial Opportunities Lie in the Blue Ocean of Agent Payment Transactions?

marsbit03/02 09:06

The Stronger AI Gets, The More Tired People Become: 'Anxiety' Becomes the Norm for Companies and Employees

Amidst promises of liberation, AI coding tools like Claude Code and Codex are instead fueling widespread workplace anxiety and a "productivity obsession." While over 40% of C-suite executives claim AI saves them at least 8 hours weekly, 67% of non-managerial staff report saving less than two hours—or none. Studies reveal that even as AI handles more tasks, working hours are increasing. This anxiety is top-down: executives like Intuit’s CTO code at 5 a.m. with AI, while CEOs monitor usage bills to gauge effort. Employees face量化管理, tracked on daily AI interactions, leading to burnout and "AI fatigue." The gap between leadership’s staff experience is stark, with executives enjoying hands-on prototyping while employees bear转型成本 and job insecurity. Researchers note "task expansion" – non-technical staff generate code, but engineers clean up, increasing workloads. The risk? A surge in "busyware": low-value projects that consume resources but add little. True efficiency may lie not in building more, but in questioning what shouldn’t be built at all.

marsbit03/02 02:04

The Stronger AI Gets, The More Tired People Become: 'Anxiety' Becomes the Norm for Companies and Employees

marsbit03/02 02:04

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

The rapid advancement of AI is profoundly impacting the Web3 job market, leading to the decline of several traditional roles while creating new opportunities. Roles such as junior Solidity developers, entry-level researchers, community moderators, crypto traders, and NFT artists are increasingly being replaced by AI, which can perform these tasks faster, cheaper, and often more effectively. Conversely, new Web3 professions are emerging. These include AI-Web3 synergy architects, who design systems for AI and blockchain integration; AI agent training coordinators, managing multi-agent collaboration; advanced prompt engineers crafting behavioral frameworks for AI; on-chain behavioral economists designing anti-AI-exploit tokenomics; Web3 compliance and ethics officers addressing algorithmic bias; and privacy and proof-of-humanity experts verifying human identity in an AI-dominated landscape. The key takeaway is adaptability. Web3 professionals must assess whether their current roles will remain relevant and focus on areas where human-AI collaboration creates value—the intersection of human ingenuity and machine efficiency.

marsbit03/01 03:57

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

marsbit03/01 03:57

How 2328.io Helps SaaS Businesses Work with Crypto Payments

SaaS businesses seeking to integrate cryptocurrency payments require more than a simple checkout tool; they need infrastructure that supports recurring billing, financial reporting, and volatility management. 2328.io provides a crypto payment gateway built for operational control, offering invoice-driven architecture for subscriptions, automated stablecoin conversion to ensure revenue predictability, and support for prepaid credit models. It also enables automated affiliate payouts and scales from hosted checkouts to full API integration. This allows SaaS companies to accept crypto globally while maintaining financial stability and backend automation.

TheNewsCrypto02/28 05:30

How 2328.io Helps SaaS Businesses Work with Crypto Payments

TheNewsCrypto02/28 05:30

Fabric: The Dominant Force in the Robotic Economy

The robotics industry is at a critical inflection point, driven by advancements in AI, affordable hardware, and labor shortages in sectors like healthcare and manufacturing. However, robots currently lack economic agency—they cannot own assets, sign contracts, or receive payments like humans, limiting their role to isolated tools controlled by large corporations. Fabric aims to address this by building a decentralized network for payments, identity, and capital allocation, enabling robots to operate as autonomous economic participants. This "robot economy" replaces inefficient, closed-loop cluster models with a permissionless, transparent market where anyone can coordinate, deploy, and benefit from robotic labor. The network uses the $ROBO token for settling payments and incentivizing contributions, with value derived from utility rather than speculation. Blockchain is essential for providing robots with verifiable identity, programmable wallets, and global coordination capabilities. Fabric’s infrastructure allows robots to be deployed at scale, optimized across industries and regions, and integrated into a global workforce. While still early, Fabric is laying the foundation for a future where robots and humans collaborate seamlessly to solve complex challenges.

marsbit02/27 12:22

Fabric: The Dominant Force in the Robotic Economy

marsbit02/27 12:22

Deutsche Bank's Blockbuster Report: The Two Ultimate Outcomes of AI - Marx's Prophecy and Musk's Vision

Deutsche Bank's report presents two extreme scenarios for AI's ultimate impact on the economy. The first, "Full Substitution," envisions AI fully replacing human labor, where capital becomes labor itself. This Marxian/Muskian outcome would render labor value and wages near zero, causing extreme wealth concentration. Classical economics would break down as the link between supply and demand fractures, leading to deflation, secular stagnation, and potential social upheaval. The second, "Augmentation," is a more familiar path where AI enhances human productivity without full replacement. New jobs emerge, policy adapts, and the economy continues similarly with moderate inflation and rising rates. The report concludes that the path taken depends on the speed of technological change versus institutional adaptation, with key indicators to watch being structural unemployment data and shifts in fiscal/antitrust policy.

marsbit02/27 09:06

Deutsche Bank's Blockbuster Report: The Two Ultimate Outcomes of AI - Marx's Prophecy and Musk's Vision

marsbit02/27 09:06

Jack Dorsey's Company Is Laying Off 4,000 White-Collar Workers, Replaced by AI

Jack Dorsey's fintech company Block has announced a major workforce reduction, cutting nearly 40% of its employees—around 4,000 roles—to streamline operations and transition toward a flatter, AI-centric organizational structure. Despite reporting growing revenue and profitability, and even raising its 2026 profit guidance to $12.2 billion, Block is proactively restructuring to adapt to rapid AI-driven changes in productivity. Dorsey emphasized that AI tools are fundamentally reshaping how companies operate, enabling exponential growth without proportional increases in staff. This move reflects a broader trend among tech firms like Salesforce, Amazon, and ASML, which have also cut jobs during growth phases by leveraging AI for efficiency. Notably, Block’s stock surged 20% following the announcement, adding nearly $6 billion in market value—effectively valuing each eliminated role at about $1.5 million in created enterprise value. The layoffs primarily affect white-collar roles, as AI excels at tasks involving information processing—a core function of many knowledge-economy jobs. Affected employees will receive severance including 20 weeks' base pay, additional compensation per year served, a $5,000 transition bonus, and six months of continued health insurance. The situation underscores how AI is disrupting traditional employment faster than expected, shifting focus toward reskilling and adaptation in the automated economy.

Odaily星球日报02/27 03:55

Jack Dorsey's Company Is Laying Off 4,000 White-Collar Workers, Replaced by AI

Odaily星球日报02/27 03:55

Former Twitter Co-founder's Sincere Layoff Letter: AI Can Do Your Job, You Can Go Now

Block, the financial technology company led by Twitter co-founder Jack Dorsey, saw its stock surge 25% after announcing plans to lay off nearly half its workforce—cutting 10,000 employees down to 6,000. The move added approximately $3 billion in market value, equating to about $750,000 per terminated employee. Dorsey attributed the cuts directly to AI, stating that “intelligence tools” enable smaller teams to achieve more with greater efficiency. He emphasized that the decision was intentional and immediate, avoiding prolonged uncertainty. Unlike typical corporate messaging that obscures layoffs with strategic jargon, Dorsey was explicit: AI can now do many jobs better and cheaper. The company had expanded rapidly during the pandemic, tripling in size since 2019. Now, much of that growth is being reversed under the banner of AI-driven efficiency. Dorsey’s approach mirrors actions taken by Elon Musk at Twitter (now X), but with a key difference: Block paired the layoffs with strong financial results and a clear AI transformation narrative, which investors rewarded. Internally, the transition has been turbulent. Employees were recently mandated to use AI tools and required to email Dorsey weekly summaries of their contributions—summaries he processed using AI. Many expressed low morale and job insecurity. Despite offering relatively generous severance, Dorsey’s blunt honesty underscores a harsh new truth: proficiency in AI or proving one’s value may not guarantee job security if companies prioritize cost-cutting through automation. Dorsey predicts most companies will follow suit within a year. For workers, the message is clear: as AI reshapes work, relying solely on a single employer carries increasing risk.

marsbit02/27 03:15

Former Twitter Co-founder's Sincere Layoff Letter: AI Can Do Your Job, You Can Go Now

marsbit02/27 03:15

Author of 'AI Doomsday Report' Speaks Out: Market Panic Exceeds Expectations, but the Real Risk is the 'Unemployment Loop'

A report on the potential AI disruption scenario, co-authored by Alap Shah of Lotus Technology Management, triggered significant market sell-offs, with IBM’s stock plunging 13% in a single day. Shah stated that the market reaction "far exceeded expectations" and warned that AI could eliminate 5% of white-collar jobs within 18 months, particularly in service-intensive sectors like insurance and banking. He emphasized a negative feedback loop: companies cut jobs to boost margins, reinvest savings into AI, and cause further layoffs. Shah urged governments to tax AI-generated profits to mitigate unemployment and protect consumer demand, arguing that rapid job loss could severely harm the broader economy. The report, set in a hypothetical 2028 scenario, highlights rising market volatility and growing differentiation between AI beneficiaries (e.g., semiconductors) and vulnerable industries (e.g., software, payment processing).

marsbit02/24 09:20

Author of 'AI Doomsday Report' Speaks Out: Market Panic Exceeds Expectations, but the Real Risk is the 'Unemployment Loop'

marsbit02/24 09:20

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