AI-powered workplace coaching platforms are delivering personalized, executive-level guidance to employees at all levels of an organization [1, 2, 3].

This shift democratizes professional development by removing the high cost and exclusivity typically associated with corporate mentoring. By automating guidance, companies can scale support across their entire workforce rather than limiting it to senior leadership.

Alexi Robichaux, CEO and co-founder of BetterUp, said AI coaching is on the rise, broadening access to mentoring at work, so that people at every level of an organization can receive guidance [1]. This movement aims to provide workers with tools that were previously reserved for the C-suite.

The Blomma app, which is launching in the U.S., is part of this trend [2]. A founder of the app said the goal is to give ordinary workers the kind of personalized coaching that is usually reserved for executives, at a price closer to a streaming subscription than a C-suite perk [2]. The subscription price for the AI career-coach app is $25 per month [2].

These platforms use artificial intelligence to handle the routine aspects of professional growth and data management. A Forbes Council contributor said AI takes care of the routine tasks, like sorting data and handling simple requests, so people can focus on work that needs their judgment and creativity [3].

By reducing the reliance on human coaches for basic skill-building, these tools allow for a more scalable approach to human resources. The integration of AI into the workplace is designed to broaden access to mentoring while reducing the overall cost of implementation for the employer [1, 2].

AI coaching is on the rise, broadening access to mentoring at work.

The transition from human-led to AI-driven coaching represents a shift in corporate hierarchy, where the 'secret' strategies of executive leadership are being codified into software. While this lowers the barrier to entry for junior employees, it also shifts the responsibility of professional development from the manager to the algorithm.