AI Made me Lazy and Incompetent

About this episode

The episode discusses the potential downsides of AI in the workplace, emphasizing the need for proper oversight and process management to maintain competence.

In this episode, I unpack a tension I’ve been feeling more and more as AI becomes part of my daily workflow. AI has become incredibly useful. It helps with content, software development, problem solving, and all sorts of work that used to take much longer. In many cases, it feels almost magical. But there’s a catch. Used carelessly, AI can make us faster while also making us lazier in the ways that matter most. This episode is about that hidden downside. Not because AI is bad, but because it changes how we work. And if we don’t update our process along with the tools, we risk skipping the thinking that builds real competence. I talk about this mostly from the perspective of software development and running a software business, but the same lessons apply to coaching too. Whether you’re using AI to write training plans, athlete messages, content, or admin workflows, the risk is similar: AI can produce solid output, but it can’t fully replace context, judgment, or oversight. The real problem isn’t that AI makes mistakes. The real problem is that it can make it easier for us to approve work we haven’t properly interrogated. That’s where bad habits creep in. In this episode, I explore…

People in this episode

Host: Training Tilt

Topics covered

• AI in the workplace
• productivity
• software development
• coaching
• process management
• competence

Keywords

• AI
• laziness
• competence
• software business
• coaching
• process
• review
• productivity