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3 minutes, 46 seconds
Artificial intelligence is everywhere. But the real question isn't how fast AI can answer—it's whether you're still thinking for yourself. According to investigative journalist and Cornell professor Cheryl Strauss Einhorn, the biggest risk isn't bad information. It's handing over your judgment to a machine. Here's why AI should challenge your thinking, not replace it, and how to use it wisely.
Einhorn spent years studying how people actually use AI, not how they say they use it. Her discovery? Most people ask AI to think for them, not with them. They use it to make decisions, define problems, and even shape opinions—instead of using it to gather information and challenge their own ideas.
This is a mistake. The true value of AI isn't in replacing human judgment. It's in expanding it.
AI is designed to sound convincing. But sounding confident doesn't mean being correct. Einhorn warns: treat every AI answer as a draft, not a decision.
These questions keep you in control.
A subtler danger is that AI learns from your past behavior. Over time, it gives you more of what you already like—narrowing your view instead of expanding it. Einhorn calls this a 'comfortable but narrowing world.' Good decisions require actively seeking what you're not seeing.
Einhorn offers a simple way to think about when to use AI—and when not to.
You don't know where you're going. You hand the wheel to AI and let it decide. This works for open-ended brainstorming, but it's dangerous for important decisions. The destination is still unknown, so don't let AI choose it for you.
You know exactly what you need. You use AI to quickly extract precise information—like a surgeon using a scalpel—then return to your own judgment. This is the smart way to use AI.
Most failures happen when people treat a Lamborghini problem like a surgeon problem. They hand an open-ended decision to AI before clarifying what matters.
Before asking AI anything, ask yourself: 'What problem am I solving?' Many people have a thinking problem, not a technology problem. For example:
Only bring in AI after you've done your own thinking.
Trust AI for possibilities. But verify anything that influences an important decision. Ask for sources, check primary documents, and cross-reference facts. AI is a prediction engine, not a truth engine.
AI tends to tell you what you want to hear. Counter this by asking:
The goal isn't to prove you're right—it's to discover what you're missing before reality does it for you.
Just like muscles weaken when not used, cognitive abilities can deteriorate when outsourced to AI. You may feel more productive in the moment, but over time, you become less confident in your own judgment because you've stopped exercising it.
Use AI to improve your thinking, not replace it. Let AI gather information, generate options, summarize material, and challenge your assumptions. But don't outsource the moments that require judgment. AI can tell you what is likely. It cannot tell you what matters. It cannot choose your goals, weigh your values, or decide which risks are worth taking.
The people who benefit most from AI won't be those who use it for every decision. They'll be the ones who know when to lean on it—and when to think for themselves. Remember: the first answer is a draft, not a decision.
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