Techways

AI vs Mediocrity

AI vs Mediocrity

Artificial intelligence (AI) is changing the world in unprecedented ways, creating new opportunities and challenges for various industries and professions. However, one of the most significant impacts of AI is that it will raise the bar for human performance and creativity, making mediocre efforts no longer acceptable or in demand.

AI is becoming more proficient in performing tasks that were once exclusive to us humans, such as creating art, music, entertainment, and business content. With the help of advanced algorithms and machines, AI can generate high-quality outputs at a faster pace and at a lower cost, without requiring significant human input or supervision.

This means that those of us who rely on average skills or routine tasks will face increasing competition from AI, and may find themselves displaced or irrelevant in the market. To survive and thrive in the age of AI, we will need to develop and demonstrate skills that cannot be easily replicated by machines, such as creativity, critical thinking, emotional intelligence, and social skills.

In other words, being average or mediocre will no longer be good enough. AI will require that we strive for excellence and differentiation, rather than settling for mediocrity. It is our job as educators to help our children find their passion and purpose, so that they can shine in their creativity and create value and meaning for themselves and others, rather than merely following instructions or fulfilling obligations.

AI will not replace us humans, but it will redefine what it means to be human. The future belongs to those who can rise above mediocrity and aspire for greatness.

**References**

  • Bostrom N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
  • Cuban M. (2017). Mark Cuban: The world’s first trillionaire will be an artificial intelligence entrepreneur. CNBC. 
  • Cellan-Jones R. (2014). Stephen Hawking warns artificial intelligence could end mankind. BBC News.
  • Baudrillard J. (1994). Simulacra and Simulation. University of Michigan Press.

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