The AI Era's New Middle Class: Technical Bureaucrats

The Misconception “AI will replace everyone.” “Prompt engineers will rule the world.” Both are wrong. The reality: A new professional class is emerging—not agents, not prompt engineers, but technical bureaucrats. A Historical Parallel In Joseon Dynasty Korea, there was a class called 중인 (Jung-in, “Middle People”). Class Role Power Source Yangban (Nobility) Abstract commands, philosophy Status, land Jung-in (Middle) Technical execution, administration Expertise, skills Sangmin (Commoners) Manual labor Numbers Jung-in roles: ...

2026년 4월 6일 · 4 분 · 788 단어 · Den Kim

The Pilot-Scale Gap: Why Your AI Pilot Worked but Company-Wide Rollout Failed

The Pattern Pilot results: Meeting notes automated → 3 hours/week saved Email drafts generated → 50% faster Document summaries → 90% time reduction Company-wide results: Adoption stalls at 20% Hidden costs eat the savings ROI negative within 6 months The Numbers Metric Value Pilots that fail to scale 95% (MIT, 2025) Organizations stuck in pilot/POC 68% AI embedded in core processes 7% Users reporting significant downsides 92.4% The uncomfortable truth: ...

2026년 3월 19일 · 5 분 · 865 단어 · Den Kim

The Missing Link: Why 42% of AI Projects Get Scrapped (Hint: It's Not the Technology)

The 42% Problem S&P Global (2025): 42% of AI initiatives were scrapped entirely. That’s up from 17% the year before. What’s killing these projects? The data is clear: Abandonment Reason Percentage Data quality issues 38% Business case no longer viable 29% Loss of executive sponsorship 21% Technical approach infeasible 12% The Hidden Variable: Executive Sponsorship What the Numbers Say Digital Applied (2026): Executive alignment reduces AI project failure by 67%. ...

2026년 3월 17일 · 4 분 · 766 단어 · Den Kim