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Author David Brooks suggests success with AI depends on one's intrinsic enjoyment of mental effort. 'Mental Marathoners' thrive by using AI to tackle bigger challenges, while 'Productive Passengers' may see their skills atrophy by using it to avoid difficult thinking.

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Using AI effectively isn't about cognitive offloading, which leads to mediocrity. It's about amplifying human thought. Humans must provide the 'why' (ambition) and the 'what' (taste) to bookend the technology, which only solves for the 'how'.

As AI makes it increasingly easy to get answers without effort, society may split into two groups. Bernd Hobart suggests a "cognitive underclass" will opt for the ease of AI-generated solutions, while a "cognitive overclass" will deliberately engage in the now-optional hard work of critical thinking, creating a new societal divide.

Gurley presents a paradox: for 'high agency' individuals who love their work and are constantly self-improving, AI is a massive force multiplier. For those who are disengaged and not intrinsically motivated to learn, AI feels deeply threatening, creating a stark divide in its impact on the workforce.

AI creates a vicious cycle. In a competitive world, you must use AI tools to keep up. However, outsourcing cognitive tasks to AI risks diminishing our capacity for critical thought and robs us of the meaning derived from overcoming intellectual challenges.

To differentiate oneself in an AI-saturated world, one must learn to embrace cognitive strain. This means treating the mental discomfort of deep focus not as a negative to be avoided, but as the productive "burn" an athlete feels during training—a direct sign that one's cognitive capacity is growing.

The primary danger of AI is not job replacement but the outsourcing of core human skills like deep thinking, creativity, and communication. As with any outsourced capability, this leads to the atrophy of our cognitive functions, mirroring how physical tools made us physically weaker.

AI's impact will diverge based on a user's "need for cognition." The 20% who enjoy thinking will use AI to become exponentially more productive. The other 80%, who are "cognitive misers," will use it as a substitute for thinking, leading to a massive atrophy of their cognitive abilities.

Your perception of AI depends on your career approach. If you're passively executing tasks in a job you don't love, AI is a direct competitor. If you are an active, curious learner building a craft, AI is a powerful tool for leverage and acceleration.

A framework for AI use: delegate 'vicious friction' (tedious tasks like data entry) but retain 'virtuous friction' (challenging problems that require deep thought). Outsourcing the latter prevents the cognitive struggle necessary for learning, expertise, and building new neural pathways.

A key driver of AI adoption in the workplace is its ability to smooth over moments of high cognitive effort, like starting a document from a blank page. For brains already exhausted by constant context switching, this is a welcome relief but ultimately creates a dependency that further weakens the ability to focus.

A Person's 'Need for Cognition' Dictates if AI Enhances or Degrades Their Skills | RiffOn