This follows my recent piece “AI Coach or AI Ghostwriter? The Choice Is Yours,” which argued that AI can sharpen your thinking or replace it. That piece was about writing. This one is about the other side of the coin: learning. The practical question is: how do you use AI to become a more productive learner than a lazy one?
Back in 2006, my UW students and I coined the term “machine learning” to describe the autonomous understanding of text by computers (Etzioni, Banko, & Cafarella, AAAI 2006). Two decades later, large linguistic models (LLMs) can digest, summarize, and answer questions about text with remarkable efficiency. Ironically, the biggest buyers of this skill are humans, who use AI to do our learning for us.
AI-assisted learning has become so pervasive that we’re approaching the absurd idea taken from Tom Fishburne’s famous Marketoonist cartoon: “II Written, AI Read.” One AI writes the memo, another AI summarizes it, with minimal human involvement.
It’s a simple application of AI for abstract learning, and it has its merits. Drop off a 50-page PDF from your favorite LLM, ask for a summary, and you’ll get it in seconds.
But that summary is only a skeleton. It removes the voice, the best lines, the telling details, and the nuances that can make or break your understanding. If you read the official contract, the details are complete. When you read a competitor’s product announcement, the spin they put on the numbers is more important than the numbers themselves. A skeleton has no heartbeat!
AI-assisted learning punishes inaction. A recent Wharton study of more than 10,000 participants found that people who relied on AI-generated summaries showed shallow knowledge and provided fewer concrete facts later compared to those who engaged with real sources. The advice written after the AI was used was short, blunt, and very similar to all users. In other words, AI compression is not just about compressing text. They spread it. Speed learning with AI can be like speed dating: you cover a lot of places, but you don’t really know anyone when you travel.
The important question here is not productivity. It’s about the impact of learning AI on you as a student: What happens to your bottom line, your understanding, your ability to integrate all the sources? Are you winning by doing this, or are you weakening the cognitive muscle that makes you good at your job? Outsourcing your thinking to AI is not a productivity gain; it’s a talent leak.
My practical advice is: treat the brief as a measuring tool, not a destination. Use it to decide if a document is worth your time. That is really precious. The world produces more text than any human can process, and AI can help you sort the wheat from the chaff in minutes instead of hours. But once you decide something is important, put down a summary and engage with the source.
The real power of AI learning is not in a single summary but in a conversation. Think of it as a documentary investigation, focusing on what interests you. Upload a contract, research paper, or salary call script, and start asking questions. What are the three most dangerous categories? How does this methodology compare to Chen et al. previous year paper? Where do the CFO’s comments contradict the numbers in Table 4? This is not an order to dismiss and forget. It’s a back-and-forth conversation between you and the AI about the text, which brings up some quotes, pulls connections to related things, and writes to what you need. The quality of the conversation depends entirely on the quality of your questions. AI-assisted learning rewards curiosity.
A warning I can’t repeat often enough: always verify anything important yourself. The AI models are ridiculous. They create quotations, invent statistics, and present anecdotes with the calm confidence of a young professor. The verification step is important. If you skip, you don’t learn about AI. You gamble with AI.
And you want to use different learning strategies for different tasks, just like you would without AI. Summarizing is great for getting the gist of a piece, for sorting through your inbox, for deciding what to read next. It will not serve you well if you need to store content, protect it in a meeting, or build on it in your work. For those tasks, you need a method of interrogation, and you need to supplement it with ancient human reading of the verses the AI points you to.
Used well, AI can make you a better, faster, more careful reader by helping you navigate through more material, ask sharper questions, and see connections you might otherwise miss. If used poorly, it turns you into a consumer of predictable pablum, the mental equivalent of living on protein shakes when there’s a farmers market across the street.
Machines are happy to read to you, but they won’t understand you. The choice, as always, is yours.
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