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Why AI coaching is not just coaching

At first glance, AI coaching might seem like an attempt to replicate human-led coaching sessions. However, dig a little deeper, and it becomes evident that AI coaching is not merely an imitation but an evolution of traditional coaching methodologies. Let’s explore why AI coaching is more than just coaching.

1. Scalability and accessibility

While human coaches have time and capacity constraints, AI coaches can cater to countless users simultaneously. This scalability ensures that coaching is no longer a luxury but an accessible tool available to everyone, anytime and anywhere.

2. Data-driven personalisation

AI coaching platforms utilize vast amounts of data to tailor sessions based on individual needs. By analyzing patterns, past interactions, and feedback, AI can provide personalized insights and action points, making each session more impactful than the last.

3. Continuous learning

Traditional coaching is often limited to scheduled sessions. In contrast, AI coaching offers a continuous learning experience. Users can interact, seek guidance, and receive feedback 24/7, fostering a culture of persistent growth.

4. Multitasking and efficiency

While a human coach engages in one-on-one sessions, AI can multitask. Alongside a coaching conversation, it can simultaneously document details, track progress, set reminders, and even provide resources, making the entire process streamlined and efficient.

5. Objective and bias-rree

Human interactions are inevitably influenced by biases and emotions. AI coaching, being algorithm-driven, ensures an objective, consistent, and bias-free approach, guaranteeing that guidance is based solely on data and proven methodologies.

6. Evolving with every interaction

AI coaching platforms are dynamic. With each interaction, they learn, adapt, and refine their coaching techniques. This ensures that the coaching experience is not static but continually improving and aligning with the user’s evolving needs.

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