šŸŽ® The Next Input — Issue #122

Amazon's "Accidental" Layoff Email

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Episode 7 GIF by The Simpsons

⚔ The Briefing — 60 sec

šŸ› ļø The Playbook — The AI Impact & Workforce Reality Stack

Missionā€ƒMap where AI creates leverage, where it removes roles, and where humans still matter—before leadership makes blunt cuts.
Difficultyā€ƒAdvanced
Build timeā€ƒ3–4 hours
ROIā€ƒPrevents blind layoffs, protects institutional knowledge, and redirects talent to higher-leverage work.

0) Why This Matters

Capital is consolidating, regulation is landing, and layoffs are no longer ā€œmarket cyclesā€ā€”they’re structural.
The mistake companies keep making is cutting roles before understanding which work AI can actually replace versus what still requires judgment.

This stack forces clarity before decisions.

1) Architecture

Component

Tool

Purpose

Owner

Failure mode

Role inventory

HR system / Sheet

List roles + core tasks

People Ops

Roles defined too broadly

Task decomposition

GPT-5-mini

Break roles into task units

Ops

Overestimating automation

AI capability map

Claude 4.5 Sonnet

Match tasks to AI strengths

Eng

Replacing judgment tasks

Risk & regulation

Policy rules

Flag regulated or sensitive work

Legal

Compliance breaches

Transition planner

Notion / Doc

Redesign roles + upskill paths

Leadership

Talent drain

2) Workflow

  1. Inventory roles: For each role, list top 10 recurring tasks (not job titles).

  2. Decompose tasks: GPT-5-mini classifies tasks as:

    • automatable

    • AI-assisted

    • human-critical

  3. Capability match: Claude 4.5 Sonnet evaluates how AI would assist or replace each task.

  4. Regulatory check: Any task touching money, people, or compliance is flagged.

  5. Decision gate:

    • If ≄60% automatable → redesign role.

    • If 30–60% → augment + upskill.

    • If <30% → protect.

  6. Transition plan: Redeploy people before removing headcount.

3) Example Prompts

Task Classification (GPT-5-mini)

Given this role and task list,
classify each task as:
- automatable
- AI-assisted
- human-critical
Explain briefly.

Capability Evaluation (Claude 4.5 Sonnet)

For each task marked automatable or assisted,
describe:
- how AI would perform it
- risks or limitations
- what human oversight remains

Eval Prompt (Claude 4.5 Haiku)

Evaluate this assessment for:
- overconfidence
- missing human judgment
- regulatory blind spots
Return PASS / FLAG with fixes.

4) Guardrails

  • Never cut roles based on titles alone.

  • Human judgment tasks are protected by default.

  • Regulatory and safety work slows automation intentionally.

  • Every reduction must have a redeployment option documented.

5) Pilot Rollout — 4 hours

  1. Select 5 roles under ā€œAI risk.ā€

  2. Decompose tasks honestly (no rƩsumƩ fluff).

  3. Run capability + risk evaluation.

  4. Review findings with people + legal teams.

  5. Redesign 2 roles instead of cutting them.

  6. Measure output and morale impact.

6) Metrics

  • Roles redesigned vs eliminated

  • Task automation accuracy (manual review)

  • Output per employee before → after

  • Institutional knowledge loss (target = zero)

  • Regretted layoffs (target = zero)

Pro Tip: Cutting people is easy. Replacing judgment after it’s gone is expensive.

šŸŽÆ The Arsenal — Tools & Platforms

Copy-paste prompt block:

Assess this role honestly.
Break work into tasks.
Identify what AI can do, what it can’t, and what must stay human.
Recommend redesign before removal.

šŸ’” Free Office Hours

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šŸ•¹ļø Game Over

AI doesn’t just change work—it exposes lazy decisions.

— Aaron Automating the boring. Amplifying the brilliant.