Given how fast technology is advancing, many coaching companies are working on replacing the need to meet with a coach altogether. When people have access to apps that allow the user to receive personalized guidance in leadership development or goal setting, it is tempting to try to automate the process to lower professional development costs per employee.
Generally, users of these apps briefly answer a few questions pertaining to their overarching goals. Then, the AI models generates action items in which the users will need to complete in order to achieve said goals. Users are sent nudges and notifications via their app to ensure accountability. As a result, AI models send the user progress reports, customize their metrics based on the organization’s goals, and change the way learning content is delivered.
This is no doubt a controversial use case of AI to replace the human, rather than improve the human’s effectiveness in their role (as coach in this instance). It’s important to note that using technologies like this does potentially risk losing engagement from the users since they know they are in discussion with a bot rather than a human. Often, interacting with a bot lowers accountability and engagement. This is a risky space when considering adoption rates, especially the more senior and experienced the individual using the software.