AI is enhancing my output | Pursuing true self assessment and professional growth

In this episode of Coworkers with AI, Gretchen LaBelle and Bre'Ana Deen dig into self-assessment and performance growth in the age of AI. They unpack how AI can blur the line between what you actually know and what AI produced for you—covering the "LLM fallacy" (misattributing AI output to your own competence), why fluency isn't the same as learning, and how leaders can build real judgment in early-career talent. They also share practical frameworks for using AI more intentionally: asking for help with process instead of output, calibrating AI use based on how high-stakes a communication is, and deliberately putting yourself in situations that force real growth. Episode reflection: How do you know where you still need to grow as you're using AI to deliver your communications and outputs at work? Resources mentioned:

• The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows (https://arxiv.org/abs/2604.14807)

• Redefining the Software Engineering Profession for AI (https://dl.acm.org/doi/10.1145/3779312)

• AI and Education: What's Changing, What Kids Must Learn, and the Path Forward | SXSW (   • AI and Education: What's Changing, What Ki...  )

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Music by Abby Hubbard available at: https://bit.ly/3SyZ0qD