Every year, someone in the LIS world declares that librarianship is dying.
It never has.
What changes is the skill set underneath the job title.
I have seen it twice in my career — first when computerisation changed Indian libraries in the 1990s, and later when the internet reshaped reference work.
AI is the third wave.
And this time, an MLIS degree cannot be treated as a finished product. It is a foundation.
What matters now?
*Prompt literacy.* Boolean searching taught librarians to ask precise questions. AI requires the same instinct in a different form: clear questions, useful context and sensible constraints.
*Verification.* AI can produce summaries, citations and records in seconds. It can also be confidently wrong. The gap between a convincing answer and a correct one is becoming an important part of the librarian’s work.
*Data fluency.* Understanding how information is structured, cleaned and contextualised changes what you can get from AI tools.
*Ethics and privacy.* Who stores patron queries? What happens to the data? Who can access it? These are not questions we can simply leave to a vendor’s terms and conditions.
And perhaps most importantly, *the ability to explain.*
Some people will fear AI. Others will trust it too much. Librarians have always been translators between information systems and the people who use them.
That role is not disappearing.
It is becoming more important.
The core of librarianship remains familiar: organise knowledge, make it discoverable, and help people use information responsibly.
The tools have changed.
They always will.
The librarians who thrive in the next decade may not be those who resisted AI the longest.
They may be the ones who learned to question it most carefully.