这一数据点强调了小型农业对全球经济的重要性，涉及20亿人的生计。这表明农业AI工具的潜在影响范围巨大，但文章没有提供这一数据的来源年份和统计方法，也缺乏关于小型农业在全球农业总产值中占比的信息。

文章提到企业仍在使用为AI前世界构建的系统，估计造成超过2万亿美元的拖累。这是一个相当宏观数据，但缺乏具体计算方法和来源说明。在AI经济影响评估中，2万亿美元是一个引人注目的数字，但需要更多上下文来验证其准确性。

经济学家呼吁以“曼哈顿计划”的规模来收集各行业价格弹性数据，凸显了当前AI经济研究的底层基础设施极度匮乏。没有跨经济体的系统性微观数据支撑，任何关于AI就业前景的预测都是盲人摸象，政策制定更是无从谈起。

大多数人认为应对AI就业影响应该专注于当前受威胁最大的行业，但作者认为我们需要像曼哈顿计划一样全面收集所有行业的价格弹性数据，包括目前尚未受到AI影响的领域。这种前瞻性视角挑战了危机应对的常规思维。

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