Case 11 — Work Collaboration and Administrative Literacy with AI Agents
Overview
| Item | Content |
|---|---|
| Period | Mid-2030s through the 2040s (AI agents as always-on work assistants) |
| Technology | Work-oriented AI agents (scheduling, documents, intake, summaries, bookings) |
| Literacy | Work delegation, instruction design, output review, accountability |
Realistic Premises
- If generative AI (2022–) produced drafts, by 2040 agents will perform whole units of work as assistants.
- Human time shifts from recording and organizing to relationships and judgment.
- But wrong instructions and careless verification become real harm.
Literacy Improvement Mechanisms
- Task decomposition: Delegate “from intake to guidance” step by step
- Writing instructions: Specify conditions, exceptions, and prohibitions
- Review routines: Check four things — numbers, names, dates, consent status
- Records and responsibility: Leave a record of who decided what
Field Operation Tips
- Simulate experience-program intake as a two-step process: AI assist + human check
- Output: three sample delegation instructions (good / bad / average)
- Make a table of “what can be automated” vs. “what humans must do”
Implications for Paju Activist Training
- Operations that reduce the burden of public and village administration while keeping trust
- A realistic solution for one activist running multiple programs
- Core capability of a 2040 activist = the balance of delegation and review
Notes
- Not an era where AI does the work for us, but one where we share the work