在科技行业之外,投资回报率(ROI)的实现周期可能很长。
AI: The ROI Runway Could Be Long Outside the Tech Sector

原始链接: https://www.apollo.com/wealth/insights-news/insights/daily-spark/ai-the-roi-runway-could-be-long-outside-the-tech-sector

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这篇 Hacker News 的讨论探讨了尽管 AI 炒作甚嚣尘上,但为何其投资回报率(ROI)在科技行业之外仍难以实现。 主要结论包括: * **集成障碍:** 持怀疑态度者认为,非科技公司之所以举步维艰,是因为 AI “试点项目”往往止步于简单的聊天机器人。真正的价值需要与遗留系统、数据管道和安全架构进行复杂且乏味的集成,这些任务在技术上既困难又耗时。 * **成本现实:** 与代币成本将趋近于零的预期相反,用户反馈称由于需求增加以及智能体(Agent)多步工作流的复杂性,成本反而正在上升。虽然有些人通过使用更廉价的小模型获得了价值,但另一些人则面临着高昂的支出。 * **应用爆发与可见性:** 参与者讨论是否存在“AI 应用爆发”。许多人认为,目前正处于企业内部定制化工具的大规模扩散中,这使得个人能够在无需公开发售软件的情况下优化自己的工作流程。 * **市场动态:** 虽然有些人预期 AI 将提高利润率,但另一些人警告会出现“红皇后竞赛”,即效率提升带来的红利会被竞争抵消,最终受益的是消费者而非股东。归根结底,许多人认为目前利润增长的匮乏反映了企业落地实施过程的缓慢与艰难。
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