Institutional AI vs Individual AI: Why Productivity Gains Haven't Translated to Organizational Value
George Sivulka argues that while AI has made individuals 10x more productive, organizations haven't realized proportional value gains because they've adopted the technology without redesigning institutional structures. Drawing parallels to the electrification of textile mills in the 1890s-1920s, he proposes that true organizational productivity requires 'Institutional Intelligence' built on seven pillars: coordination, signal detection, objectivity, determinism, measurement, alignment, and architecture.
Metrics in this report
30years
historical
Period textile mills saw no output increase after electrification
10xmultiplier
claimed
Individual worker productivity gains from AI
1xmultiplier
observed
Company value increases corresponding to productivity gains
50deals per quarter
projected
Projected increase from AI-polished deal submissions