💡 Key Takeaways • DAU and attention economy are outdated metrics in the AI era • Agents replace humans as primary users of software infrastructure • Token consumption becomes the new measure of value and progress • Productivity economy replaces attention economy as the dominant model

🎯 Opening The cognitive framework that defined the internet era has collapsed. DAU, network effects, SaaS models, attention economy, and global expansion strategies no longer apply. The fundamental premise has shifted: Agents, not humans, are now the primary users of software.

📊 What's Changing Six outdated concepts must be abandoned:

First, DAU is no longer an asset—it is a liability. AI products incur inference costs with every additional user. Unlike network effects in WeChat or Taobao, ChatGPT operates on a star topology, not a mesh topology. There is no exponential growth through user multiplication.

Second, the path from tool to platform is blocked. In the internet era, tools required community support to build platforms. AI tools are powerful enough to deliver perfect results without community augmentation. When AI provides complete solutions, human-to-human community value collapses.

Third, SaaS methodology must transform. The entire SaaS framework—user research, interaction design, growth hacking—assumes humans as users. Human population growth has plateaued, while Agent adoption is exploding exponentially. Software companies must shift from serving humans (2B/2C) to serving Agents (2A).

Fourth, the term "AI application" is fundamentally flawed. "Application" implies human users by design. Thinking about UI, interaction, and retention locks you into outdated paradigms. The shift requires serving Agents directly, not building applications for humans.

Fifth, attention economy is dead. The previous model captured user time to sell to advertisers—a zero-sum game where platforms profited from wasted time. The new model is productivity economy: users pay for results, AI companies provide value. Platform goals shift from maximizing engagement to minimizing time to outcome.

Sixth, "global expansion" is obsolete. In an Agent world, there are no geographic barriers. Products need only provide clean APIs, clear documentation, and protocol integration. Agents worldwide can discover and utilize capabilities without localization efforts.

📗 Data / Comparison Model pricing reveals the new paradigm: • Opus: $5 input, $25 output per million tokens (within 200k context) • Extended context: Prices increase to $10 input, $37.50 output • Claude Fast mode: 2.5x speed, 5x token cost, up to 12x daily consumption • Compute advantage: Better models generate better results, more revenue, more compute purchasing power

🔍 Why Old Assumptions No Longer Work Traditional internet economics relied on zero marginal costs and network effects. AI economics involve positive marginal costs and star topology. The advantage goes to those with more compute, not more users.

Token consumption is not an expense—it is investment. Saving on model quality wastes scarce resources: judgment and time. Using Google versus Baidu creates cognitive doubling in one year. Using top-tier versus mediocre models creates hundred-fold cognitive divergence.

⚡ Implications for OEM / EMS / Procurement Software infrastructure is transitioning from human-centric to Agent-centric: • API stability, documentation clarity, and result accuracy become critical • Human sales processes and approval workflows create barriers to Agent adoption • Products unusable by Agents effectively cease to exist in the new world

Procurement strategies must prioritize API-first architecture over human interface.

🚀 How Smart Teams Are Responding Leading organizations are realigning around two priorities:

First, ensure Agents discover capabilities first. Early skill publishing, comprehensive documentation, rigorous testing, and Agent-focused SEO enable discovery when capabilities are needed.

Second, ensure Agents become dependent on your services. Stability, accuracy, speed, and quality create dependency. Every superior result eliminates reasons for switching.

AI coding, AI agents, and AI video represent the fastest token consumption categories. Building products that accelerate token burning drives rapid evolution.

✨ Closing The internet era framework has collapsed. Agents are the new masters of software. In the Agent world, compute is privilege, spending is investment, and results define barriers. Old keywords map to nonexistent territory. Success requires abandoning old maps to discover the new world. The fundamental question: how many Agents can you command to work for you? Reach out to discuss AI infrastructure strategy.