The experiment featured four distinct conditions:
– Individuals working alone without AI
– Individuals working alone with AI
– Teams of two specialists (one commercial expert, one technical R&D expert) working without AI
– Teams of two specialists working with AI
Team Performance: AI improved team performance by 39%
Breakthrough Solutions: Teams using AI were 3x more likely to produce solutions in top 10% of quality
Effeciency Gains
- Individuals using AI completed tasks 16.4% faster than those without
Output Quality
- Despite working faster, AI-enabled groups produced substantially longer and more detailed solutions
Expertise and collaboration effects
Breaking Down Silos!!
Without AI: Clear professional silos existed — R&D specialists created technical solutions while Commercial specialists developed market-focused ideas
With AI: Distinctions virtually disappeared — both types of specialists produced balanced solutions integrating technical and commercial perspectives
Experience Leveling: Less experienced employees using AI performed at levels comparable to teams with experienced members
Emotional Experience
Positive Emotions: AI users reported significantly higher levels of excitement, energy, and enthusiasm
Negative Emotions: AI users experienced less anxiety and frustration during work
Individual Experience: People working alone with AI reported emotional experiences comparable to or better than those in human teams
Team Dynamics
Solution Types: Teams without AI showed a bimodal distribution (either technically or commercially oriented solutions)
Balanced Input: AI appeared to reduce dominance effects, allowing more equal contribution from team members
Consistency: Teams with AI showed more uniform, high-quality outputs compared to the variable results of standard teams
We’ll be talking about this study for a while.
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Douglas Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare and ACCC President-Elect, shared this post, adding: