AI at Scale Tamilla Triantoro: Work rewired: human + AI
Mar 17, 2026
Tamilla Triantoro, Associate Professor of Business Analytics and co-author of Converging Minds, studies human–AI collaboration and the future of work. She outlines four collaboration modes and why trust, behavior shifts, and unhelpful AI matter. Tamilla reframes automation as task reorganization and explains how agents will stitch tools together while humans focus on judgment and supervision.
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Four Stable Roles For Human AI Collaboration
- Human AI collaboration means structured workflows where AI expands capability while humans keep ownership and purpose.
- Tamilla Triantoro defines four stable AI roles: field expert, idea generator, critic, and style amplifier that generate, edit, critique, and inform.
Trust And Behavior Are Core Adoption Risks
- Leaders often overlook trust, behavior changes, and unhelpful model interactions when adopting AI in the workplace.
- Tamilla warns unhelpful AI raises stress, encourages jailbreaking tactics, and creates negotiation behaviors similar to antagonistic co-workers.
Map Jobs Into Task Bundles Before Automating
- Break jobs into task bundles and assess which tasks are automatable versus those needing human judgment.
- Use that task-level map to decide risk, redesign roles, and preserve learning pathways for junior employees.
