Can AI Break Down Expertise Silos?
Can AI Break Down Expertise Silos?
It has long been known that diverse teams produce more innovative solutions than homogeneous groups. Harvard research showed as early as 2017 that cognitively diverse teams solve problems up to 50% faster. Having worked in multi-background teams, I have seen this in practice.
The challenge, however, has always been how to get experts from different backgrounds to truly understand each other. The "language barrier" between functions has made it difficult to fully utilize teams' potential.
Harvard and Wharton researchers recently published the results of "The Cybernetic Teammate" field experiment, which studied AI's impact on teamwork among 776 Procter & Gamble professionals. The results reveal three significant findings:
1. AI breaks professional boundaries Without AI, R&D experts produced mainly technical solutions and commercial experts market-focused proposals. When using AI, both groups produced more balanced solutions that combined both technical and commercial perspectives – even when working alone.
2. AI democratizes expertise With AI's help, less experienced professionals were able to perform at levels that matched teams composed of experienced members. AI helped people think outside their area of specialization.
3. Individual and team boundaries blur Those working alone with AI performed as well as two-person teams without AI. However, in the study, teams using AI were most likely to produce exceptionally high-quality solutions.
For organizations, adopting AI is not just a productivity tool, but an opportunity to rethink how expertise and knowledge flow within the organization. Could some functional silos be abandoned when moving to AI-assisted work?
How could AI be leveraged in your organization to build bridges between different expert groups?
#AIStrategy #OrganizationalChange #DemocratizationOfExpertise
Marko Paananen
Strategic AI consultant and digital business development expert with 20+ years of experience. Helps companies turn AI potential into measurable business value.
Follow on LinkedIn →Related Insights
Built to Adapt: What Football Teaches Us About AI Transformation
AI is changing the rules of business while the game is still being played. Not a new tool—a fundamental rule change. The teams that thrive won't be those with an AI strategy, but those built to adapt when competitive dynamics shift beneath them.
The Data Maturity Paradox: Data Needs Users, Users Need Data
Data maturity requires users, users require working solutions, working solutions require data maturity. How to break this cycle?
Shadow AI: Three Critical Risks Organizations Face
Employees increasingly share sensitive data with AI tools using personal accounts, creating governance and security challenges.
Interested in learning more?
Contact us to discuss your company's AI strategy.