The next AI wave — agents — should come with warning labels

“Research in artificial intelligence has, until recently, focused on training models that perform well on a single task,” Lee said, “but a job is often comprised of many interdependent tasks. With agentic AI, humans no longer provide the AI an individual task but rather provide the AI a job. An intelligent AI will then strategize and determine the set of tasks needed to complete that job.”

According to Capgemini, 82% of organizations plan to adopt AI agents over the next three years, primarily for tasks such as email generation, coding, and data analysis. Similarly, Deloitte predicts that enterprises using AI agents this year will grow their use of the technology by 50% over the next two years.

“Such systems exhibit characteristics traditionally found exclusively in human operators, including decision-making, planning, collaboration, and adapting execution techniques based on inputs, predefined goals, and environmental considerations,” Capgemini explained.