AI ladder nobody told you about
2026-08-07T19:38:36Z openrouter_free google/gemma-4-31b-it
The author argues that AI adoption must be rapid to avoid falling behind competitors. Using a comparison to the slow adoption of email in the 90s, the text introduces a four-level map of AI adoption to help users move beyond basic usage.
The article argues that the speed of AI adoption is far more critical today than previous technological shifts, such as the adoption of email in the 1990s. The author warns that because AI allows for exponential compounding of productivity, those who fail to integrate it deeply into their work will quickly be left behind by those who do. To guide this transition, the author proposes a four-level 'AI ladder' of adoption.
Level 1 ('Unacceptable') describes individuals who avoid AI entirely, performing tasks manually as they did years ago. Level 2 ('Capable') is where the majority of users currently reside; they use AI as a basic chatbot for one-off questions, drafting emails, or summarizing text. The author contends that Level 2 is a 'trap' because it feels like the destination, yet it only utilizes a fraction of AI's potential. This is evidenced by the fact that only 9% of companies are actually scaling with AI, while 91% are merely 'poking' at the tools.
Level 3 ('Adaptive') marks the shift from using a chatbot to implementing a system. At this stage, users build end-to-end workflows—where a human provides input, AI processes the logic, and a human reviews the output. By stacking these workflows, users create 'specialist agents' dedicated to specific roles like SEO, email marketing, or ad creation. The author concludes that moving to this level of implementation transforms the work experience, making traditional manual methods feel obsolete and inefficient.