#114: AI at Work: Uneven Adoption, Real Risks
Podcast: Play in new window | Download (Duration: 18:47 — 8.6MB)
Podcast: Play in new window | Download (Duration: 18:47 — 8.6MB)
In this episode, Olga Solovyeva explains why AI adoption inside organizations is so uneven, often coming down to leadership.
Some leaders give teams freedom and time to experiment; others pause and “park” AI altogether. That caution has a cost. When leadership restricts AI, employees often turn to personal accounts instead (what Olga calls shadow AI use) which strips away any oversight the organization would otherwise provide.
The conversation then turns to risk: data leaks from sensitive information entered into AI tools, and hallucinations that have already damaged reputations at major consulting firms. Olga closes on a subtler one: as AI makes longer reports easy to produce, those reports get AI-summarized on the receiving end too, leaving discussions built on content no one’s actually read, and no one’s accountable for.
Olga Solovyeva, PhD, works at the intersection of technology governance and strategic communications. She advises boards on AI governance and risk at Chairwell Partners, and writes on the human side of AI adoption. Her doctoral research examined how tech companies wield political power — a thread she’s now pulling through a book on the transformation of one of Russia’s largest tech firms under state pressure.
References: