The dawn of AI was heralded as an age of unprecedented efficiency and access to information. And in many ways, it has delivered. From streamlining complex calculations to generating vast swathes of content, AI’s capabilities are expanding at a dizzying pace. The sheer scale of its growth is staggering: over 2,000 new AI companies were funded globally last year (2024), a 70% surge since 2019.
The power to think for ourselves, to scrutinize, to differentiate truth from algorithmically-generated consensus, is arguably more vital now than ever.
Read More: The Algorithmic Echo Chamber: AI’s Quiet Influence on Critical Thinking
“We only think when we are confronted with problems.” – John Dewey
Yes and no.
Yes, our thinking is pushed into strategic cognition when confronted with problems. We engage in intention-driven critical thinking.
No, it’s not the only time we think.
We also think when we play, but it’s not the same type of thinking. It’s thinking that’s completely absorbed in the moment.
It’s a different type of thinking, but it’s altogether just as meaningful.
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The theory was first proposed in the late 1970s to explain our human tendency to overestimate our abilities in completing a task. We tend to estimate less time than is actually needed for us to complete tasks.
It’s our optimistic bias toward our own effort and skill.
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