This episode explores how generative AI is changing workplace communication, weighing its benefits for efficiency and synthesis against risks like loss of authenticity, empathy, and critical thinking. Experts Matt Abrahams and Wade Foster discuss when leaders should use AI, when they should rely on their own voice, and the essential human skills—like judgment, curiosity, and empathy—that must remain central.
Summarized by Podsumo
AI can jumpstart thinking and help structure messages, but leaders must review and personalize AI output to avoid sounding generic or losing their authentic voice.
High-stakes, emotionally charged communications (like negative feedback or sensitive team alignment) should never be fully delegated to AI; empathy cannot be automated.
The rise of AI risks an 'authenticity crisis' where it's hard to know if a message is genuinely from the person or an AI, making spontaneous, in-person communication skills more valuable.
Wade Foster shares that at Zapier, they set clear etiquette rules—like 'author should put more effort than reader' and flagging when AI was used—to manage mixed human-AI communication.
Matt Abrahams warns that AI can cause 'empathy atrophy' and homogenize language, especially for younger workers, and suggests leaders signal humanness through imperfections and personal storytelling.
"The big risk with AI, from my perspective, is the outsourcing of empathy... if all we do is outsource the most challenging communication we have, then we're in trouble."
— Matt Abrahams
"You can delegate the work, but you can't delegate the accountability. If I'm not reviewing the output, if I'm not paying attention to the quality of the work, that reflects back on me."
— Wade Foster (paraphrasing his co-founder)
"My colleague Scott Bernardo loves to say that LLMs are really just an averaging machine. So if you want to be average, you should use them."
— Adi Ignatius