Exponential Shift: Humans Adapt to AI Economies
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866912321941536768 |
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| author | McNamara, Kevin J Marpu, Rhea Pritham |
| author_facet | McNamara, Kevin J Marpu, Rhea Pritham |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_08855 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exponential Shift: Humans Adapt to AI Economies McNamara, Kevin J Marpu, Rhea Pritham Computers and Society Artificial Intelligence Computational Engineering, Finance, and Science Emerging Technologies 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. |
| title | Exponential Shift: Humans Adapt to AI Economies |
| topic | Computers and Society Artificial Intelligence Computational Engineering, Finance, and Science Emerging Technologies |
| url | https://arxiv.org/abs/2504.08855 |