A 2025 study revealed a stark gap between developers' perceived AI-driven productivity gains and their actual, measured performance. This suggests the feeling of speed from using AI tools is a powerful, but potentially misleading, metric for true effectiveness.
Research shows AI usage shifts cognitive effort from problem-solving to simply integrating AI output. Higher trust in AI correlates with less critical thinking, leading to "precarious agency" where users feel in control but are actually making smaller, algorithmically-shaped decisions without realizing it.
The workflow of using AI—frequent small successes, constant interaction, and variable results—unintentionally mimics the variable ratio reinforcement schedules perfected by platforms like TikTok. This creates a compelling, dopamine-driven loop that makes developers feel productive, even when closing many minor tasks instead of focusing on a single larger one.
A Harvard Business Review study identified a new condition called "AI Brain Fry," characterized by mental fog, headaches, and slower decision-making. It's caused by the cognitive load of supervising multiple AI agents, constantly verifying outputs, and juggling tools, and is most prevalent in marketing and software engineering.