Six ways AI is reshaping workload, expectations and responsibility for information leaders
Jinfo Report
5th March 2026
Abstract
Jinfo has explored a growing paradox: while generative AI is often positioned as a productivity tool that reduces effort and speeds up delivery, many research and information teams report being busier than ever.
Experimentation with AI has not reduced pressure – instead, stakeholder expectations have increased, with demands to deliver more, faster, and at greater scale.
In this report, we describe six key areas driving increased demand for information teams, and outline how information managers should respond to these changing needs.
Contents:
Experimentation with AI has not reduced pressure – instead, stakeholder expectations have increased, with demands to deliver more, faster, and at greater scale.
In this report, we describe six key areas driving increased demand for information teams, and outline how information managers should respond to these changing needs.
Contents:
Introduction
1. Adoption and application
2. Augmentation
3. Verification
4. Validation
5. Delegation
6. Facilitation
What this means for research leaders.
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About this report
- Report title: Six ways AI is reshaping workload, expectations and responsibility for information leaders
- Pages: 6
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