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Can we just be normal about AI?
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What if AI doom and bloom prophecies are derailing more important conversations?
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Tuesday, January 27, 2026
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<span style="color:#000000;font-size:24px;font-family:Arial,Helvetica,sans-serif">
What if AI doom and bloom prophecies are derailing more important conversations?
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</span>
</span>
</h2>
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<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
Scroll through any tech news feed and you'll find two dominant narratives about AI. On one side, venture capitalists like Marc Andreessen publish manifestos declaring that "
</span>
<a data-linktext="intelligence is the ultimate engine of progress" data-linktype="Normal" style="color:#168DD9;background-color:#FFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;font-size:16px;" target="_blank">
intelligence is the ultimate engine of progress
</a>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
" and promising technology will liberate the human soul. On the other, respected researchers
sign open letters warning of "
</span>
<a data-linktext="extinction risk" data-linktype="Normal" style="color:#168DD9;background-color:#FFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;font-size:16px;" target="_blank">
extinction risk
</a>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
" and comparing AI development to nuclear weapons proliferation.
</span>
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<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
Both camps share something in common beyond their certainty. They're drowning out everyone else, including plenty of smart AI researchers who don't subscribe to either vision. These researchers show up to conferences, publish papers, and do the slow work of studying how these systems actually behave in the real world and how they are likely to evolve. But their perspectives rarely break through because they lack the dramatic
appeal of salvation or extinction.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
They're stuck arguing for something far less quotable — that we might be looking at a technology that's genuinely important but ultimately ordinary.
</span>
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Humanize AI Text in Seconds
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<strong style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:20px">
What ‘normal’ actually means
</strong>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
A
</span>
<a data-linktext="paper published last spring" data-linktype="Normal" style="color:#168DD9;background-color:#FFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;font-size:16px;" target="_blank">
paper published last spring
</a>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
from Princeton researchers Arvind Narayanan and Sayash Kapoor offers a useful framework. Their argument is deceptively simple. What if AI is just normal technology?
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
Normal
doesn't mean insignificant. The printing press, electricity, and the internet all fundamentally changed the world. But they did it piecemeal, over decades, through messy processes of adoption that gave societies time to respond. Factory owners didn't immediately understand how to harness electric power. It took years of experimentation with layouts, worker training, and production processes before productivity gains materialized. The technology was revolutionary, but the revolution was gradual.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
This framing cuts against both the utopian and dystopian visions. It suggests we don't need to prepare for superintelligent AI taking over the world or plan for
</span>
<a data-linktext="college graduates getting jobs on spaceships by 2035" data-linktype="Normal" style="color:#168DD9;background-color:#FFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;font-size:16px;" target="_blank">
college graduates getting jobs on spaceships by 2035
</a>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
, as OpenAI's Sam Altman recently suggested. We need to think about
discrimination in hiring algorithms, the erosion of the free press, labor displacement in specific industries, and all the problems that come with any powerful new tool.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
That's a long list of problems. But they're the kind of problems we've solved before. We developed food safety regulations when industrialized production created new risks. We made commercial aviation remarkably safe through
decades of crash investigations, pilot training standards, and maintenance requirements. None of it was easy or fast, but we did it. If AI follows this pattern, we're not flying blind. We can do the hard, slow work of applying lessons we've already learned.
</span>
</div>
<div>
<br/>
</div>
<h2 style="mso-line-height-rule:exactly;Margin:0;font-family:Arial;font-size:20px;color:#000;">
<strong style="background-color:#FFFFFF;font-family:Arial;color:#000000;font-size:20px">
After the goldrush
</strong>
</h2>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
The problem is that this framing doesn't serve the AI industry’s interest. Tech that will take decades to pan out won't help you raise billions in venture capital this quarter. And it doesn't offer a get-out-of-jail-free card for companies that want to skip safety testing because we're in an arms race with China. The extreme narratives are useful precisely because they justify extreme responses, whether that's showering AI labs
with cash or exempting them from oversight. The boring middle justifies nothing except careful, deliberate work.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
That work can still account for the extremes. We stress-test banks for financial crises that may never come. We build earthquake codes into cities that might not shake for decades. Planning for normal doesn't mean ignoring tail risks. It means not
</span>
<em style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
only
</em>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
planning for tail risks. It also means asking the question that doesn't raise money. What if we bet on apocalypse or utopia and neither shows up? Then we've spent years having the wrong conversation.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica
Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
The middle path requires something harder than prophecy. It requires patience, empiricism, and the willingness to admit we don't know how this plays out. That's not a satisfying story. But it might be the right one.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="background-color:#FFFFFF;font-family:Helvetica Neue,Helvetica,Arial,sans-serif;color:#000000;font-size:16px">
—Jackie Snow, Contributing Editor
</span>
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<span style="background-color:#FFFFFF;font-family:Arial;color:#000000;font-size:20px">
Recommended Reading
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