Our client wanted to explore how both thought leadership and research organizations are approaching the way they produce knowledge work, particularly in the AI era.
The objective was to assess how thought-leadership and research teams are using AI to generate knowledge work - what’s changing internally, which use cases work or fail, and how leaders decide where to apply AI.
10EQS led the primary research for this study by interviewing senior thought-leadership/research leaders to assess current adoption & early value, lessons learned, culture and adoption, ethics & risk and trust considerations, organizational shifts and talent, as well as future outlook and differentiation factors.
10EQS found that AI is mainly helping teams work faster (research, drafting, editing), but it isn’t replacing the core expertise. As more generic AI content spreads, real value is coming from human judgment and strong original or proprietary data, and leaders are worried that automating junior tasks could hurt future talent growth.
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