Скачать или смотреть Why Emotional Intelligence Will Decide Your Value in the AI Economy | The M-Shaped Future

What actually determines who stays valuable in an AI-driven world?

As artificial intelligence takes over execution, like writing, coding, design, and analysis, the rules of work are changing. Technical skill alone is no longer enough. In this video, I explore a deeper question:

Will Emotional Intelligence decide who thrives in the AI economy?

Using a scientific case study approach, this video breaks down:
• How AI is reshaping work across technical fields like IT, data analysis, and marketing
• Why productivity is shifting from execution to human judgment, alignment, and sense-making
• What the M-shaped future means — and why integrators may outperform both specialists and generalists
• How emotional intelligence reduces uncertainty, risk, and friction in AI-driven systems
• The hidden psychological costs of automation: disengagement, moral offloading, and burnout

This is not a motivational talk about Empathy.
It’s an evidence-based exploration of why emotional intelligence becomes economically valuable when AI scales faster than human certainty.

In the M-shaped future, thriving won’t belong to specialists or generalists alone — it will belong to INTEGRATORS who can connect systems, regulate emotions, and make decisions when information is incomplete.

If you’re thinking about relevance, resilience, and long-term value in an AI-shaped world, this video is for you.

Read the Full Article Here:
https://afsaanaachangingthenarrative....

Chapters:
00:00 Intro: The Question AI Forces Us to Ask
01:41 Chapter 1: The Practical Lens — From Execution to Judgment: The New Human Role
03:46 Chapter 2: The Profitable Lens — Why EQ Starts Showing Up in Value Creation
06:24 Chapter 3: The Purposeful Lens — The Hidden Cost of Ignoring EQ
08:00 Chapter 4: The Balance of 3Ps: Practical, Profitable & Purposeful


Research References:
• Behavioral Economics & Judgment
Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
• Automation Bias & Overtrust
Parasuraman, R., & Riley, V. (1997). Humans and Automation: Use, Misuse, Disuse, and Abuse. Human Factors, 39(2), 230–253.
• Algorithmic Decision-Making & Responsibility
Danaher, J. (2016). The Threat of Algocracy: Reality, Resistance and Accommodation. Philosophy & Technology, 29(3), 245–268.
• Burnout & Loss of Control
Maslach, C., & Leiter, M. P. (2016). Burnout. Wiley.
• Emotional Intelligence & Work Performance
Mayer, J. D., Salovey, P., & Caruso, D. R. (2008). Emotional Intelligence: New Ability or Eclectic Traits? American Psychologist, 63(6), 503–517.


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