From Hype to Help: Intelligent GenAI Adoption to Avoid Productivity Loss

Its been 2 years since Large Language Models became a household name, and every company on the planet is expecting to see significant productivity
gains across multiple departments from using genAI-powered tools.

Yet, emerging research tells us that naively utilizing genAI can hurt the organizational productivity as much as it helps it.

This shouldnt come as a surprise as we have seen similar results with companies naively implementing novel technologies and methodologies before. We know how to do these things well, yet we keep falling into the trap of assuming that technology alone solves the problem and fail to account for the human factors of sociotechnical systems.

We also tend to believe that novel systems require novel governance and processes, causing us to solve and re-solve the same problems over and over again.

In this talk, we will cover some of the common causes of productivity loss via naive adoption of genAI tools, and how to take the human factors into account to intelligently design the sociotechnical systems to maximize genAI-powered productivity gains.