Artificial Intelligence & Impostorism
Artificial Intelligence (AI) is transforming how we work, learn, and measure ourselves. While AI offers new opportunities for efficiency and creativity, it also introduces new challenges. One of these challenges is AI-induced impostorism—the feeling of inadequacy, self-doubt, or fraudulence that arises when individuals compare their own skills, creativity, or expertise against AI systems.
At The Atkinson Institute, we are leading one of the first research efforts to study this phenomenon. Our goal is to understand not only how impostor syndrome shows up in traditional contexts like relocation, career gaps, and social comparison, but also how it is being reshaped in the digital age by AI.
AI-Induced Impostorism
AI-Induced Impostorism refers to the psychological experience in which individuals receive praise or recognition for work that was generated or significantly assisted by artificial intelligence, leading to uncertainty regarding the legitimacy of the compliments and their own role in the achievement.
Signs of AI-Induced Impostorism
The uneasy feeling of being celebrated for work you did not fully create yourself. It arises when others compliment AI-generated or AI-assisted results, leaving you questioning whether you genuinely earned the recognition.
Hyper-comparison
Comparing your real effort against AI-polished results and feeling as if you fall short.
Skill doubt
Wondering if the recognition belongs to you or the tool you employed.
Visibility anxiety
Fear of being exposed for not writing or creating every word yourself.
Who feels it most
- Students relying on AI for essays, homework, or projects.
- Job seekers using AI to draft resumes, cover letters, and applications.
- Professionals leaning on AI for reports, presentations, or client work.
- Content creators using AI to fill in or polish large portions of their work.
The Impostor Cycle
Overprepare or avoid → brief relief → discount success → repeat. With AI, the cycle intensifies because the product appears polished without the same visible effort.
- Name the trigger
- Reframe the standard
- Record real wins