At Drillster we hear a familiar question: Why is it still vital to memorize when artificial intelligence seems to put every answer at our fingertips? It is the latest version of a debate we have had for over a decade: If we can look anything up on our phone, why invest energy in learning and remembering?
At Drillster we often hear a familiar question: “Why is it still vital to memorize in an environment dominated by artificial intelligence?” It is the newest take on a discussion we have had for more than a decade—if we can access any fact in seconds, why put effort into learning and remembering?
The answer is straightforward: learning is a deeply personal process that AI cannot complete for us. There are also critical situations where applying knowledge must happen in the moment. When expertise is not embedded in memory, the consequences can be serious: a healthcare professional who hesitates during an arterial bleed, a manager who cannot navigate a team conflict, or an employee who fails to recognize a phishing email.
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Artificial intelligence has transformed the learning and development landscape. It can generate content at speed—even tailoring it to each professional. That is an important step forward, but reading, watching, or listening is not enough. Learning only sticks through effort and engagement.
AI can provide feedback, enable realistic simulations, and answer questions, but it cannot learn for us. There are no shortcuts to building real expertise; it takes time, deliberate practice, and repetition.
Back in 2011, Columbia University researcher Betsy Sparrow uncovered an important insight: when people know they can retrieve information online, they stop trying to remember the facts themselves. Instead, they store the path to the information.
Today, AI tools such as ChatGPT amplify this behaviour. We reach for them to get instant answers rather than consolidating knowledge in our own minds.
A recent study by Barbara Oakley, “The Memory Paradox: Why Our Brains Need Knowledge in the Age of AI,” sheds light on the issue. Her team concluded that:
In a world packed with smart tools it is easy to forget that learning happens in our brains, not in the cloud. The memory paradox matters more than ever in the age of AI. Even if machines are better at retrieving data, they cannot match our ability to synthesize, contextualise, and innovate. In an era of information overload, the professionals who cultivate deep knowledge will deliver the sharpest insights, the most original ideas, and the clearest direction for their decisions and actions.
The future belongs not to those who collect the most data, but to those who achieve the richest understanding. And understanding depends on memory.
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