New York Post Warns AI Use for Just 10 Minutes Can Hurt Your Brain, Raising Costs for Attention and Thinking

A recent report highlighted by the New York Post argues that brief, everyday use of artificial intelligence can carry a surprising cognitive burden—especially when people rely on it in ways that change how they think, focus, and remember. The piece frames the issue around a central claim: even short AI sessions, lasting around ten minutes, may have an outsized impact on the brain because they require significant mental effort to process, evaluate, and integrate what the tool produces.

The article’s main idea is that AI is not a passive convenience. Instead, when people use AI tools, they may spend more time and attention than they realize deciding whether the output is accurate, coherent, and usable. That evaluation step—checking facts, spotting errors, judging tone, and determining relevance—can create what the report describes as a “heavy cognitive cost.” In other words, the mental work does not end when the AI generates a response; it often shifts to the user, who must actively interpret and verify.

The report also suggests that AI use can influence how the brain processes information. Rather than reading and thinking in a straightforward linear way, users are repeatedly asked to pivot between the tool’s output and their own goals. This constant switching may strain attention and working memory, the brain systems responsible for holding and manipulating information in the short term. When those systems are strained, the user may experience reduced clarity, lower retention, and less efficient thinking.

Another theme is that people may underestimate how quickly small habits accumulate. The story emphasizes the “just 10 minutes” framing to stress that even brief interactions can add up over days and weeks. If short AI bursts are repeated frequently—whether for writing, learning, planning, or problem-solving—the cognitive load may compound. The report implies that the brain adapts poorly to frequent interruptions, particularly when each session requires fresh evaluation and mental reorientation.

The article also points to the broader question of reliance. If users start to accept AI outputs with less scrutiny, it can create new mental patterns: the user may offload thinking to the tool without fully engaging the cognitive steps normally used for understanding. However, if users do not fully trust the output, they are drawn into the opposite problem—spending even more cognitive effort to check, correct, and reconcile the AI’s responses. Either way, the report argues that the user’s brain pays the price.

In its cautionary tone, the New York Post piece effectively treats AI usage as a behavior that can reshape attention. It raises the possibility that frequent AI prompting and reviewing can make it harder to maintain concentration on original tasks. Instead of deep, sustained focus, a person may remain in a cycle of generating, assessing, and revising. The story suggests that this loop may reduce the ability to absorb information deeply and may make it more difficult to remember what was learned because the cognitive process is constantly interrupted.

The report’s warning is not framed as an argument that AI is universally harmful in every situation. Rather, it focuses on the cost of using AI in a way that requires active mental work and frequent judgment. It highlights how the user’s involvement—especially verification and decision-making—can turn a quick interaction into a mental drain. The “heavy cognitive cost” label underscores that the brain’s effort may be underestimated because the time spent with AI feels short.

Importantly, the story reads like a call for more mindful and intentional use. It implies that users should treat AI outputs as drafts requiring careful review rather than final answers that can be accepted instantly. It also suggests that time limits and deliberate breaks may matter if AI use repeatedly pulls attention away from deep thinking.

Ultimately, the New York Post report centers on the idea that AI interaction is cognitively expensive, even when it appears effortless and quick on the surface. By focusing on a ten-minute window, the piece aims to show that the brain’s work—evaluating accuracy, integrating information, and sustaining attention—can be significant. For readers, the takeaway is to be aware that AI may demand more from them than they expect, and that those cognitive demands can accumulate over repeated use.

Source: New York Post