25-1082.00
Library Science Teachers, Postsecondary
Teach courses in library science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Your job is remarkably safe from AI
Safer than 25% of occupations we track
Disruption Vector
Human-Centric
This occupation relies heavily on human judgment, empathy, creativity, or physical dexterity that remains beyond current AI capabilities.
Library science faculty teach information management, research methods, and digital curation in a field already deeply engaged with AI's implications for knowledge organization and access. These faculty are well-positioned to integrate AI into their curricula and research, and the field's focus on information literacy makes their expertise more relevant in an AI-saturated information environment. Through 2027, the role is stable with demand for LIS programs potentially growing as organizations need AI-literate information professionals.
Salary & Job Outlook
AI Risk Timeline
Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.
Skills Analysis — AI Vulnerability
Similar Safe Careers
Library Science Teachers, Postsecondary is already low-risk. Explore similarly safe occupations:
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Library Science Teachers, Postsecondary
"AI tried to grade the awkward silence in your classroom. It failed."
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I just checked if I'm cooked as a Library Science Teachers, Postsecondary 🤖 AI risk score: 2.5/10 — Low Risk "AI tried to grade the awkward silence in your classroom. It failed." Check yours 👇 https://amicooked-five.vercel.app/results/25-1082.00 #AmICooked #AI #FutureOfWork
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You're safer than 25% of all knowledge workers we track.
This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →