Core Viewpoint - The article argues that concepts learned during the internet era are outdated, emphasizing a shift from human users to AI agents as the new primary users of software [3][5][24]. Group 1: Outdated Concepts - Daily Active Users (DAU) is no longer a relevant metric, as in the AI era, each additional user incurs additional costs rather than generating value [6][10]. - The transition from tools to platforms is no longer viable; AI tools are sufficiently powerful on their own, negating the need for community support [13][15][16]. - Software as a Service (SaaS) is not dead, but its focus has shifted from human users to AI agents, which are now the primary customers [17][21]. Group 2: Economic Shifts - The term "AI application" is misleading, as it still implies human usage; the focus should be on serving AI agents instead [25][27]. - The attention economy, which focused on capturing user time for advertising revenue, has been replaced by a productivity economy where value is created through results rather than time spent [28][29]. Group 3: New Market Dynamics - The concept of "going overseas" is outdated; in a world where AI agents operate, geographical barriers are irrelevant [31][33]. - The pricing strategies for AI models are increasing, with higher costs associated with enhanced capabilities, indicating a competitive landscape driven by computational power [36][39]. Group 4: Future Landscape - The rise of AI agents represents a new population dividend, with the focus shifting to how well software can serve these agents [52][53]. - In the new world, human value lies in the ability to direct and manage multiple agents rather than performing tasks directly [62][64].

Core Viewpoint - The article argues that traditional concepts in the internet era, such as DAU, SaaS, and attention economy, are outdated and no longer applicable in the AI-driven world. The focus has shifted from human users to AI agents as the new primary users of software [5][10][11]. Group 1: Outdated Concepts - DAU (Daily Active Users) is no longer a relevant metric as AI products incur costs for each additional user, making DAU a liability rather than an asset [15][18]. - The transition from tools to platforms is blocked; AI tools are already powerful enough that communities are no longer needed to enhance their functionality [23][24]. - SaaS is not dead, but its focus has shifted from human users to AI agents, with the latter becoming the primary customers [25][27]. - The term "AI application" is misleading as it implies human usage; the focus should be on serving AI agents instead [32][34]. - The attention economy is replaced by a productivity economy, where the goal is to achieve results efficiently rather than capturing user attention [35][37]. - The concept of "going overseas" is outdated; in an agent-driven world, geographical barriers are irrelevant as agents can access services globally through APIs [40][42]. Group 2: New Foundations - Token consumption is a new privilege in the AI era, with increasing costs associated with model usage, indicating a growing divide based on computational power [46][48]. - The speed of token consumption determines the pace of human evolution, emphasizing the importance of investing in high-quality models for better outcomes [51][55]. - Agents represent a new demographic dividend, with their increasing numbers leading to higher API call volumes, surpassing human interactions [60][61]. - In the new world, the focus shifts to how well products serve agents, with stability and accuracy being key factors for retention [63][65]. - The role of humans will evolve to focus on decision-making and driving agents, rather than performing tasks directly [70][72]. Group 3: Conclusion - The transition from a world where humans are users to one where agents are users signifies a fundamental shift in business dynamics, with new keywords defining the landscape [76][78]. - The article concludes that the internet era is over, and the future belongs to agents, urging a complete departure from outdated paradigms [80][81].