The Expectation Problem Nobody Talks About When It Comes to AI Tools

Andrew Miles Davis kicks off a new series drawing on patterns he has observed across thousands of face-to-face training sessions, starting with two of the most common reasons people struggle with AI tools despite genuinely wanting to use them well. The first is an expectation problem, where people go in expecting the accuracy of a database, the creativity of a human, and the consistency of software, and then lose patience when AI delivers something messier than that. The second is a habit carried over from two decades of search engine use, treating large language models like Google by typing short queries, reading the first answer, and moving on. Andrew argues that shifting these two mindsets alone would improve most people's results overnight. Subscribe to In AI Nutshell for daily ten-minute episodes built around what actually happens when real people use AI at work.