Artificial intelligence (AI) has drastically changed modern business. It has made its mark in several industries like healthcare and finance and is now revolutionizing the leadership coaching segment. However, is AI in coaching beneficial or not?’

Coaches commenced using the Internet to chat with clients in the early 2000s and after 2012, digital coaching soared like a rocket, especially after the pandemic. In 2022, the use of AI in education including coaching was valued at $2.90 billion. During 2023 – 2029, it is expected to increase by 43.8%.

Using AI can enable executive coaches to perform various tasks, such as using chatbots for client interactions or creating customized coaching programs. Other benefits of AI in coaching include efficiency, scalability, and speed. AI can provide information in seconds. This new technology evaluates body language to make suggestions to maximize the benefits. Leadership coaches can use AI to develop strategies that focus on self-directed improvement and growth.

Areas where AI is Beneficial in Leadership Coaching

Data Analysis

AI can analyze large amounts of information quickly. The technology assesses, processes, and produces insights from complicated data thereby enabling informed decision-making.

Customized Plans

A one-stop leadership coaching program does not suit every individual. Coaches can leverage AI to cater to the unique needs of each client. Additionally, the plan can be modified based on the progress of the participants.

Time Management

Leadership coaches can find paperwork and scheduling cumbersome and time-consuming. AI can be useful to eliminate these non-strategic tasks. Several virtual assistants offer scheduling programs freeing coaches to focus on imparting coaching to their clients. Other tools help coaches organize their notes and research and also take notes during online sessions.


AI platforms can easily accommodate a large number of participants at the same time without any issues or technical glitches. Most coaches may be able to manage batches of 15 – 20 participants. The majority of coaches may find it difficult to seamlessly complete the training if there is a large number of participants.

Augmented Techniques

AI-driven technologies like natural language processing (NLP) sift through text content and can provide coaches with insight into how their clients feel. This emerging technology helps coaches understand participants’ emotions. Additionally, machine learning (ML) analyzes body language and facial expressions to enable coaches to offer more effective training.

Areas where AI may not be Effective

Emotional Intelligence

Human coaches can perceive and understand the nuances of aspirations, emotions, and motivations even with advanced technologies like NLP and ML. Often, leadership coaching participants want to progress in their careers and this is interconnected with their personal ambitions, aspirations, and values. The top leadership coaching companies hire coaches who successfully establish empathetic connections with participants. This enables them to identify their goals, interests, strengths, and weaknesses. Additionally, the coaches encourage participants to think about situations differently thereby making it possible for them to explore new possibilities and solutions.

Adaptive and Dynamic Guidance

The business environment is constantly changing with new technologies, job roles, and industries. Career paths in the modern business world are diverse and non-linear. Human coaches are adaptable and flexible, which allows them to guide their clients through the changing career landscapes. They can guide individuals through career changes, unexpected situations, and transitions with real-time assistance and advice.

Contextual Understanding

One primary limitation of AI coaches is their inability to understand an individual’s situation fully. AI can process complex and vast data and offer generalized advice depending on patterns. However, they lack the capability of understanding the intricate details of personal circumstances. Human coaches consider several factors like cultural background, personal experiences, and socioeconomic conditions. Participants’ situations are not static and are constantly changing. Contextual understanding allows coaches to offer personalized recommendations aligning with the changing circumstances of the participants.

Long-Term Relationship

According to studies, individuals with higher career social support are better able to improve their adaptability. This allows individuals to make adjustments in their jobs, and new tasks, anticipate the needs and prepare, and be more confident in their careers. Human coaches offer clients career social support and invest time to understand their aspirations, and goals, and track their progress to develop long-term relationships. The best corporate coaching providers act as advocates, confidants, and mentors and provide a safe place for clients to share concerns, celebrate achievements, and seek guidance when faced with challenging situations.

AI is a game-changing technology and coaches can use the latest technology to complement their coaching programs. While companies and employees benefit from AI coaching due to its responsiveness and scalability, it cannot overlook the advantages of human interactions. In an era where technology is permeating all aspects of living, one cannot forget the importance of human support while individuals navigate through their dynamic career paths.