# Сопутствующие статьи по теме Efficiency

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Efficiency", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

The First Batch of Big Tech Employees Laid Off by AI Have Returned to Their Posts

The first wave of employees laid off by major tech companies, citing AI as the reason, are already being rehired. In late February, Block, led by Jack Dorsey, laid off over 4,000 employees, reducing its workforce from 10,000 to under 6,000, with Dorsey stating that "AI tools changed everything." However, within a month, some of those laid off began receiving offers to return. Reports indicate rehires occurred in departments like engineering and HR, with reasons ranging from "clerical errors" in termination to managers advocating for their return. The article argues that replacing humans with AI is often more cost-effective. For instance, enterprise-level AI can be expensive in terms of token usage, and training a reliable AI system, such as for customer service, may exceed the cost of human employee salaries. Examples like Klarna, which rehired客服 after initially replacing them with AI, support this. Additionally, the "Jevons Paradox" suggests that AI-driven efficiency gains don’t necessarily reduce workloads but may increase demands on remaining employees, adding to their burden. The piece criticizes companies using AI as a pretext for layoffs, arguing that AI cannot replace human organizational dynamics or strategic roles. Nvidia’s Jensen Huang is quoted condemning leaders who裁员 instead of leveraging AI for expansion. Ultimately, AI serves as a convenient excuse for cost-cutting, but its limitations and the essential role of humans in organizations mean that some layoffs are reversed when key roles are affected. The trend reflects broader issues of corporate strategy and management rather than a true AI takeover.

Odaily星球日报03/20 07:26

The First Batch of Big Tech Employees Laid Off by AI Have Returned to Their Posts

Odaily星球日报03/20 07:26

HashKey Accelerates AI Strategy Implementation: From Organizational Efficiency to New-Generation Digital Financial Infrastructure

HashKey Group is accelerating its AI strategy, transitioning from organizational efficiency to building next-generation digital financial infrastructure. The company has established a "Group Technology Steering Committee" to oversee the overall planning and implementation of AI and cutting-edge technologies. According to CTO Devin Zhang, the move marks a shift from fragmented, individual use of AI to a group-level systematic adoption aimed at upgrading organizational capabilities. Key priorities include improving internal operational efficiency—particularly in R&D and non-R&D functions like compliance and finance—and enhancing user experience through intent-driven interactions. Initial AI applications focus on high-repetition, measurable scenarios such as automated development pipelines, threat detection, risk management, and anti-money laundering analysis. Devin emphasized that a robust security framework is essential for financial institutions adopting AI, as agent-based systems require careful management of permissions, resource access, and accountability. HashKey is taking a compliant, risk-aware approach: prioritizing back-end and internal use cases first, while cautiously evaluating customer-facing innovations like automated trading. In the long term, HashKey envisions AI and blockchain converging, with AI agents gaining digital identities and payment capabilities, potentially making blockchain a key infrastructure for managing AI-driven economies. The company aims to boost efficiency near-term, strengthen mid-term technical foundations, and ultimately contribute to the evolution of digital financial infrastructure.

marsbit03/18 06:07

HashKey Accelerates AI Strategy Implementation: From Organizational Efficiency to New-Generation Digital Financial Infrastructure

marsbit03/18 06:07

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