Bret 探讨 AI 与互联网时代的相似之处，强调竞争强度，并指出 AI 代理通过执行工作而非仅仅提升生产力，重新定义了软件的价值。
Bret discusses parallels between AI and the internet era, emphasizing competitive intensity and how AI agents redefine software value by performing jobs, not just enhancing productivity.
要点 · TL;DR
AI 代理将变得像网站一样对客户体验至关重要。 AI agents will be as crucial as websites for customer experience.
基于结果的定价将软件价值与业务成果挂钩。 Outcome-based pricing ties software value to business results.
现有企业面临商业模式挑战，而不仅仅是技术障碍。 Incumbents face business model challenges, not just tech hurdles.
核心观点 · Key points
AI 智能体在客户体验方面将变得与网站或移动应用同等重要。 AI agents for customer experience will become as important as websites or mobile apps.
基于结果的定价将软件价值与业务成果对齐，而非技术成本。 Outcome-based pricing aligns software value with business outcomes, not technology costs.
现有企业在 AI 转型中面临商业模式挑战，而不仅仅是技术障碍。 Incumbents face business model challenges in AI transition, not just technology hurdles.
AI 推理成本将大幅下降，催生新的用例和商业模式。 The cost of AI inference will drop dramatically, enabling new use cases and business models.
软件工程智能体将使开发者从代码作者转变为代码生成机器的操作者。 Software engineering agents will shift developers from authors to operators of code-generating machines.
反共识 · Contrarian takes
十年内，AI 智能体将被与其他智能体比较，而非与人类比较。 AI agents will be compared to other agents, not humans, within a decade.
大多数企业软件现有企业将无法转型为 AI 原生商业模式。 Most enterprise software incumbents will fail to transition to AI-native business models.
消费者智能体将中介品牌互动，颠覆 SEO 和广告商业模式。 Consumer agents will mediate brand interactions, upending SEO and ad-based business models.
AI 智能体的价值将由业务成果衡量，而非生产力指标。 The value of AI agents will be measured by business outcomes, not productivity metrics.
利用 AI 的通才将在创造突破方面胜过狭窄领域的专才。 Generalists who leverage AI will outperform narrow specialists in creating breakthroughs.
本期章节 · Chapters（共 19）
引言与融资里程碑Introduction and funding milestone
AI与互联网浪潮的相似性Parallels between AI and internet waves
AI如何重塑软件格局How AI shifts the software landscape
基于结果的定价与ROIOutcome-based pricing and ROI
定价动态与竞争Pricing dynamics and competition
二阶效应与市场转型Second-order effects and market transformation
AI对市场与价值创造的影响Impact of AI on markets and value creation
现有企业商业模式转型挑战Challenges of Business Model Transitions for Incumbents
AI生态系统演进框架Framework for AI ecosystem evolution
基础模型可能进入应用领域Where foundation models may move into applications
AI采纳中的变革管理与自愿主义Change management and palunteerism in AI adoption
智能体部署挑战与采纳Agent deployment challenges and adoption
软件民主化及其行业影响Democratization of software and its impact on the industry
智能体与传统软件的价值对比Value of agents vs. traditional software
消费者智能体与经济影响Consumer agents and economic impact
从支持到销售：AI智能体的角色演变From support to sales: the evolving role of AI agents
企业AI智能体作为礼宾体验Company AI agents as concierge experience
应对职业不确定性的建议Advice for navigating career uncertainty