Dra. Gabriela Arriagada and Carolina Urrejola said critical thinking is a uniquely human superpower during a recent episode of TVN Exponencial in Chile [1].
As artificial intelligence integrates into professional and personal spheres, the ability to maintain intellectual independence is becoming a primary differentiator for workers. The shift emphasizes that while AI can process data, it cannot replicate the human capacity for genuine doubt and creative questioning.
This tension is evident in the current corporate landscape. Approximately 70% of Spanish companies already use AI to optimize their internal processes [4]. This rapid adoption creates a demand for what some describe as being "AI-fluent," though others argue that literacy alone is insufficient without the ability to challenge machine output.
Age also plays a role in this transition. Some reports suggest that people over 50 have an unbeatable advantage over AI in the workplace [5]. This advantage stems from a combination of deep experience and critical thinking skills that robots cannot currently imitate.
However, the reliance on these tools is growing among younger generations. In some instances, 15-year-old adolescents are using AI to seek personal advice [6]. This trend raises concerns about a "consumption mode" of thinking, where the user stops questioning the source, or the logic, behind the answer provided by the software.
Arriagada and Urrejola said that the ability to create and question remains essential despite the growing capabilities of AI [1]. They said that the real advantage for humans is not just using the tool, but knowing when to doubt it.
“Critical thinking is a uniquely human superpower in the age of artificial intelligence.”
The integration of AI into the workforce is shifting the value of human labor from technical execution to cognitive oversight. As AI handles optimization and data processing, the economic and professional premium is moving toward 'critical thinking'—the ability to audit AI outputs for bias, error, and lack of nuance. This creates a paradoxical advantage for older workers with extensive institutional knowledge and a risk for younger users who may outsource their decision-making processes to algorithms.
