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When AI enters the enterprise, faster individuals and departments do not mean a smarter organization. This collection explores organizational transformation in the AI era: from Skill and MCP pitfalls, to Block replacing hierarchy with AI, to JD Retail's AI Native restructuring. The real gaps lie in shared goals, business context, and feedback loops.
From MCP's hard lessons to what Skills really mean—the real challenge of organizational transformation in the AI era. It's not about the tools. It's about changing how you work and restructuring your org.
The real pressure on many roles doesn't come from today's AI. It comes from a future tipping point—when 'good enough + cheap + always available' all become true at once.
Making individuals and departments faster with AI does not automatically make an organization smarter. The real gap lies in shared goals, business context, feedback loops, and leadership-driven organizational change.
Meta's token leaderboard, Amazon's chart-climbing culture, Uber's blown budget — it all looks like grading programmers by lines of code. The yardstick is moving to the output side, and Nadella's 20 million agents just gave DAA its heaviest footnote.
In the AI era, there's no comfort zone. You have to squirm like a loach, finding cracks to squeeze through. But squirming isn't enough—you need to accumulate something with every step. Skills keep you fed, Niche makes you irreplaceable. You need both.
An opening from a rational creator: who I am, why this site exists, and what I plan to write here.