ICYMI: When Not to Use Generative AI

In this episode of the Gartner ThinkCast podcast, the speakers explore the limitations of generative AI (Gen AI) and advocate for a more comprehensive approach to AI adoption. While they recognize Gen AI's strengths in generating content, facilitating conversations, and uncovering knowledge, they point out four key areas where it falls short: planning and optimization, forecasting, decision intelligence, and autonomous systems. They argue that other AI techniques, like predictive machine learning, simulation, and rule-based systems, often deliver superior results for these applications. By focusing exclusively on Gen AI, we risk missing out on valuable opportunities and the potential for effective combinations with other AI methods. The main takeaway is that AI is a diverse toolkit, and Gen AI is just one of many tools, not a one-size-fits-all solution.