Now to Next with Jason Averbook

EP20: The K-Shaped Knowledge Economy: Why AI Fluency Is Splitting the Workforce

Feb 6, 2026
A look at a new K shaped divide driven by AI fluency that splits people within the same roles. Stories show how AI can multiply output and create hidden performance gaps. Discussion on why traditional reviews and training miss this shift. Calls to rethink hiring, learning, and mindset so teams can embody AI rather than just adopt tools.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

K-Split Occurs Within Roles

  • The K-shaped split is forming inside roles, not just between industries or income brackets.
  • AI fluency is creating divergent performance paths among people doing the same job.
ANECDOTE

Early Experimenter Multiplied Output

  • A colleague who experimented with Claude for 18 months produced roughly five times the proposals and responses of peers last quarter.
  • Jason Averbook highlights that the same role and tools produced radically different outcomes because she treated AI as a thinking partner.
INSIGHT

Performance Systems Miss The Divergence

  • Traditional performance systems won't detect the growing productivity divergence driven by AI fluency.
  • The gap compounds over time and becomes harder to close the earlier it starts.
Get the Snipd Podcast app to discover more snips from this episode
Get the app