AI用工成本仅为人类1/100，但人类仍不可替代。
Exponential Shift: Humans Adapt to AI Economies
- 用数字劳动力对比人类效率与成本，揭示自动化潜力
- 40%-70%任务可被自动化，但能源消耗抵消20%-40%成本优势
- 提出4天工作制等策略，助人类适应AI经济
本文探讨人工智能与机器人如何重塑全球劳动力市场。人类受休息与假期限制，仅能维持33%的工作周期，时薪为14至55美元；而数字劳动力几乎全天候运行，每小时成本仅0.10至0.50美元。在医疗、教育、制造和零售等行业中，40%-70%的任务具备自动化潜力。尽管人类每小时处理5,000至20,000个文本单元（tokens），AI处理能力远超人类，但其能耗是人类的3.5至7倍，可能抵消20%-40%的成本节约。通过新闻业与法律领域的实际案例，文章揭示这一动态，并提出六项策略，包括推行4天工作制与再培训计划，以保障向人工智能经济平稳过渡。
原文摘要 · Abstract (English)
This paper explores how artificial intelligence (AI) and robotics are transforming the global labor market. Human workers, limited to a 33% duty cycle due to rest and holidays, cost $14 to $55 per hour. In contrast, digital labor operates nearly 24/7 at just $0.10 to $0.50 per hour. We examine sectors like healthcare, education, manufacturing, and retail, finding that 40-70% of tasks could be automated. Yet, human skills like emotional intelligence and adaptability remain essential. Humans process 5,000-20,000 tokens (units of information) per hour, while AI far exceeds this, though its energy use-3.5 to 7 times higher than humans-could offset 20-40% of cost savings. Using real-world examples, such as AI in journalism and law, we illustrate these dynamics and propose six strategies-like a 4-day workweek and retraining-to ensure a fair transition to an AI-driven economy.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。