---
格式版本: 2
标题: "Pricing Intelligence: Task-Based Learning and Labor Displacement in the AI Economy"
原文链接: "https://arxiv.org/abs/2608.11112"
发布日期: "2026-08-11"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:local:strict_original_body"
发布时间证据: "**\\[v1\\]** Tue, 11 Aug 2026 16:21:51 UTC (305 KB)"
发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body"
发布时间校准置信度: "high"
发布时间候选数量: 18
发布时间严格候选数量: 6
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-12T11:18:08+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-12T11:16:29+08:00"
入库时间: "2026-08-12T03:18:08.556Z"
来源平台: "arXiv 学术论文搜索"
搜索渠道: "source_template"
搜索词: "https://arxiv.org/search/?query=performance&searchtype=all"
匹配关键词:
  - "performance"
  - "AI"
相关厂家:
  []
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 4
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "该论文为经济学理论分析，与超节点、AI Rack等机柜级AI基础设施完全无关，无任何技术或商业细节。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-12T11:18:21+08:00"
AI主题相关性: 0
AI来源权威性: 3
AI新颖性: 1
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 0
采集批次: "2026年8月12日2点04分20秒"
采集批次ID: "20260812-020420-289"
去重键: "https://arxiv.org/abs/2608.11112"
---

## Economics > Theoretical Economics

## Title:Pricing Intelligence: Task-Based Learning and Labor Displacement in the AI Economy

Authors:[Carl-Christian Groh](https://arxiv.org/search/econ?searchtype=author&query=Groh,+C)

[View PDF](https://arxiv.org/pdf/2608.11112) [HTML (experimental)](https://arxiv.org/html/2608.11112v1)

> Abstract:What determines the speed and direction of AI learning? I analyse this question from a microeconomic perspective by studying a model in which AI providers sell access to users who must complete tasks using either AI or labor. Users differ in the share of complex tasks they face. When complex tasks are delegated to AI, it learns to perform them better. In an initial technological state where AI has a comparative advantage at easy tasks, users with many complex tasks have low willingness to pay for access. This gives rise to a tension between profit maximization and complex-task learning. I characterize when this tension gives rise to a convex path of labor displacement or a learning trap in a monopoly benchmark. Competition between AI providers increases the speed of labor displacement if it is intense. Asymmetric competition can increase the speed of labor displacement by promoting endogenous specialization of AI providers.

| Subjects: | Theoretical Economics (econ.TH) |
| --- | --- |
| Cite as: | [arXiv:2608.11112](https://arxiv.org/abs/2608.11112) \[econ.TH\] |
|  | (or [arXiv:2608.11112v1](https://arxiv.org/abs/2608.11112v1) \[econ.TH\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.11112](https://doi.org/10.48550/arXiv.2608.11112) |

## Submission history

From: Carl-Christian Groh \[[view email](https://arxiv.org/show-email/92748885/2608.11112)\]  
**\[v1\]** Tue, 11 Aug 2026 16:21:51 UTC (305 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.11112) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
