A study found that software developers took longer to complete tasks when using AI tools, despite believing the technology would enhance productivity. Researchers enlisted 16 developers to perform 246 tasks with and without AI assistance. Developers predicted that AI would reduce completion time by 24%, but the results revealed a 19% increase in task time when using AI. The findings suggest that the supposed benefits of AI may not translate into actual productivity enhancements, challenging common beliefs about workplace efficiency.
A new study reveals that 16 software developers took longer to complete tasks using AI tools than without, contradicting expectations of enhanced productivity.
The experiment found that developers expected AI to reduce their task completion time by 24%, but instead, their task times increased by 19%.
Experienced software engineers faced a surprise as AI tools, like Cursor Pro and Claude 3.5/3.7 Sonnet, ultimately slowed them down.
The research challenges the popular narrative that AI drives workplace efficiency, illustrating the unforeseen burdens of adapting to new technology.
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