The AI shortcut: Are we sacrificing essential skills for convenience?
The scary part about AI may not be that it can do things better than us. It may be that we slowly stop knowing how to do them ourselves.
A futuristic kitchen robot demonstrates assistance in a Singaporean kitchen. In the early days of Google's emergence, concerns were raised that the search engine would diminish our cognitive abilities. As information became more accessible, some feared that we would become reliant on technology, potentially sacrificing our ability to think independently.
However, these fears proved unfounded. While a search engine certainly simplifies the process of finding information, the final decision still rests with us. We must sift through results, evaluate sources, and determine the credibility of the data.
AI has altered this dynamic, offering assistance beyond mere information retrieval. It can now summarize lengthy texts, provide explanations, solve problems, and even execute tasks autonomously. This convenience is dubbed "cognitive offloading." While it offers significant benefits, researchers caution that excessive dependence on AI could erode the skills we have cultivated over time.
For example, a 2025 study revealed that doctors who relied on AI assistance during colonoscopies experienced a decline in polyp detection rates once they stopped using the technology. The researchers hypothesized that the doctors had become less adept at recognizing the subtle visual cues they had previously mastered.
The issue extends beyond healthcare. Education is also experiencing the effects of AI integration. Researchers are investigating the impact on students who frequently rely on AI to guide them through problem-solving. Machine-learning expert Grace Liu from Carnegie Mellon University and her team discovered that students using an AI assistant while practicing SAT questions struggled to produce accurate answers once the tool was removed.
Additionally, they were more inclined to abandon questions altogether. Economist Alp Sungu from the University of Pennsylvania's Wharton School and his colleagues found a comparable pattern among high-school students using AI tools for math problem-solving. The students performed better with AI assistance but underperformed when the technology was unavailable.
Michael Gerlich, a professor at the Swiss Business School in Zurich and an expert in AI and cognitive offloading, advocates for using AI solely as an "assistant" rather than relying on it exclusively. He suggests that individuals should initially tackle problems independently, utilizing AI for targeted assistance when needed. By working through a problem on their own before seeking help, individuals can preserve their cognitive skills.
Gerlich advises against entrusting AI with the entire task; instead, individuals should attempt to solve the problem first, then enlist AI's assistance for guidance. This approach allows students to maintain their problem-solving abilities while still leveraging AI's capabilities.
Written by urgent.news from The Independent Singapore's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
