Think First, AI Second – keeping your cognitive edge while leveraging AI (every.to)

Economist Ines Lee highlights a growing concern about reliance on AI, particularly after a personal experience where she struggled to articulate thoughts during a ChatGPT outage. This reflects a broader issue among knowledge workers who find themselves increasingly dependent on AI tools for cognitive tasks. Recent MIT research indicates that using AI first can lead to diminished cognitive engagement and poorer memory retention, exemplified by participants in a study who relied heavily on AI displaying the least neural activity and difficulty recalling their written work. The MIT study suggests that the order in which we use AI is crucial. Those who engaged their own thinking before consulting AI showed better cognitive engagement, while starting with AI led to passivity. Lee proposes that active collaboration with AI—where users frame problems and evaluate AI-generated suggestions—can enhance understanding and critical thinking. The emphasis is on using AI as a supportive tool that challenges assumptions rather than as a replacement for independent thought, promoting deeper comprehension and more effective problem-solving in professional settings. Ultimately, the discussion centers on how we can leverage AI without sacrificing the cognitive abilities essential for critical reasoning and adaptation.