Algorithms Trap Us in the Familiar. Can They Also Spark Breakthroughs?

Most digital tools are designed for efficiency, not exploration — and that can stymie innovation. New research shows that standard algorithms channel team members toward popular, familiar information, leading them to independently converge on the same ideas. But the researchers uncovered a surprisingly simple fix: By using algorithms designed to surface diverse, uncommon information, domain experts can avoid “ideation bubbles” and generate ideas across entirely new solution spaces.

Authors

Publication Details

Journal
MIT Sloan Management Review
Published
2026-08-20
DOI
https://doi.org/10.63383/yzks2231
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
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article

Algorithms Trap Us in the Familiar. Can They Also Spark Breakthroughs?

Moran Lazar, Hen Emuna, Hila Lifshitz, Charles Ayoubi
MIT Sloan Management Review
Team Dynamics and Performance
article

Algorithms Trap Us in the Familiar. Can They Also Spark Breakthroughs?

Moran Lazar, Hen Emuna, Hila Lifshitz, Charles Ayoubi
article en

Abstract

Most digital tools are designed for efficiency, not exploration — and that can stymie innovation. New research shows that standard algorithms channel team members toward popular, familiar information, leading them to independently converge on the same ideas. But the researchers uncovered a surprisingly simple fix: By using algorithms designed to surface diverse, uncommon information, domain experts can avoid “ideation bubbles” and generate ideas across entirely new solution spaces.

MIT Sloan Management Review
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Team Dynamics and Performance
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Algorithms Trap Us in the Familiar. Can They Also Spark Breakthroughs? — Moran Lazar, Hen Emuna, et al. · MIT Sloan Management Review (2026) | TGRS Research Map | TGRS