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portada The Competitive Edge. Emotional Intelligence in the Age of AI (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
312
Encuadernación
Tapa Blanda
Dimensiones
22.9x15.2x1.6 cm
ISBN13
9798995063704

The Competitive Edge. Emotional Intelligence in the Age of AI (en Inglés)

Prasanna Kumar;Mary Marland (Autor) · Wild Doves Press, LLC · Tapa Blanda

The Competitive Edge. Emotional Intelligence in the Age of AI (en Inglés) - Prasanna Kumar;Mary Marland

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Reseña del libro "The Competitive Edge. Emotional Intelligence in the Age of AI (en Inglés)"

The Algorithm Can't Read the Room. You Can.

AI can now pass emotional intelligence tests. That should concern you, but not for the reason you think. It reveals we have been measuring the wrong thing: the ability to recognize the right emotional response, not the capacity to produce it under pressure.

Emotional intelligence is not a soft skill or a personality trait. It is the integrating force behind every other human capacity: the mechanism that turns information into wisdom, analysis into judgment, and knowledge into action. It requires what no machine possesses: a body, a nervous system, and the lived weight of consequence.

The same technology that risks eroding these capacities is also giving us unprecedented access to our emotional lives. Wearables track the nervous system. Behavioral analytics expose the gap between who we believe we are and how we actually show up. Brain imaging captures the moment two people fall into synchrony. We can now see what we could only feel, measure what was once found only in spiritual practice, and train what was once left to fate.

Humanity has been refining this work for five thousand years. What the sages practiced, neuroscience now validates. This book draws on both, treating emotional intelligence the way an earlier era treated literacy: as foundational infrastructure. Trainable. Measurable. Accessible.

The book builds in layers: self-awareness, self-mastery, and relational mastery, then continues where most books stop, into measurement, organizational culture, and the question of who benefits when these capacities become scalable. It is honest about the cost. Development requires discomfort, and this book does not pretend otherwise.

Machines optimize for prediction. Humans optimize for meaning. That distinction is your advantage. This book investigates how to keep it.

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