Institutional Knowledge: Definition, Risks, And How To Preserve It
Institutional knowledge is the accumulated experience, processes, unwritten practices, and cultural norms that enable an organization to operate and make informed decisions.
AI will infiltrate the industrial workforce in 2026-let's apply it to training the next generation, not replacing them | Fortune
Tacit industrial knowledge is vanishing as experienced workers retire, risking operational reliability unless AI preserves and augments hands-on expertise.
Architects become meta-designers orchestrating AI across In, On, and Out loops, designing governance, preserving judgment, and maintaining human accountability.
Organizations maximize legibility to control and measure work while relying on essential illegible, tacit activities; prioritizing legibility often reduces efficiency yet remains preferred.
This Stanford study shows AI is starting to take jobs - and those identified as highest risk are eerily similar to a recent Microsoft study
We find that since the widespread adoption of generative AI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13% relative decline in employment even after controlling for firm-level shocks,