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Saved February 14, 2026
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The article argues that fear of AI stems from small ambitions. Instead of focusing on efficiency and cost-cutting, it encourages individuals and organizations to aim for transformative goals, leveraging AI to create radically better products and services. Embracing this mindset can lead to more jobs and greater innovation.
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The article argues that the advent of Artificial Superintelligence should inspire bold ambitions rather than fear. The common advice of “don’t boil the ocean” may have served a purpose in the past, but current technological advancements open up possibilities that should encourage expansive thinking. The author highlights a conversation with a head of private investing who expressed anxiety about job security due to AI capabilities. This fear, the article claims, stems from a mindset focused on maintaining the status quo rather than embracing the potential for transformative growth.
The text emphasizes that instead of merely seeking efficiency gains, businesses and individuals should aspire to create products and services that fundamentally change the market. The author poses challenging questions about what’s possible: Why not aim for a 50% net IRR instead of 10%? Why not develop a service that outperforms existing solutions by a factor of 100? These aren’t just dreams; they are solvable problems. The piece also references Buckminster Fuller’s concept of “ephemeralization,” which describes achieving more with less through technological progress, ultimately enhancing human capabilities rather than diminishing jobs.
The author connects this with Jevons Paradox, explaining that increased efficiency often leads to greater overall consumption rather than reduction. Historical examples, like steam engines increasing coal demand, illustrate this principle. The article posits that this paradox won’t materialize without a shift in ambition from capital and management. Startups, known for their agility in uncertain environments, are uniquely positioned to pursue these larger goals while traditional companies often remain stuck in incremental improvements. The call to action is clear: embrace the potential of AI and the broader technological landscape to rethink what’s achievable.
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