🎮 The Next Input — Issue #139

Why 2.5 Million Users Just Deleted ChatGPT

Aaron Bost
March 03, 2026

In partnership with

⚡ The Briefing — 60 sec

ChatGPT uninstallations surge 295% after DoD deal Cycles happen. Watch what happens when the next major release lands. Users drift. Capability pulls them back.
Agentic AI and job losses in Australia Your role isn’t being evaluated on effort anymore. It’s being evaluated on replaceability. Executives are asking whether software can handle it faster and cheaper.
AI adoption accelerates across financial services The most conservative sectors are no longer cautious — they’re racing. When regulated industries move first, the rest follow quickly.

🛠️ The Playbook — The Replaceability Audit

Mission Assess which roles, tasks, and workflows are vulnerable to agentic automation — and reposition before disruption hits.
Difficulty Advanced
Build time 3–4 hours
ROI Reduces surprise displacement and increases strategic leverage.

0) Why This Matters

Adoption curves don’t announce themselves politely.

Once conservative industries begin accelerating, the window for gradual adaptation shrinks.

The risk isn’t that AI exists.
The risk is not knowing where you stand relative to it.

1) Architecture

Component	Tool	Purpose	Owner	Failure mode
Task decomposer	Claude 4.6 Sonnet	Break roles into discrete task units	Ops Lead	Oversimplified role mapping
Automation scorer	GPT-5-mini	Score feasibility of agentic replacement	Analyst	Over-optimistic automation scoring
Sensitivity overlay	Policy matrix	Identify tasks requiring human oversight	Governance	Missing compliance constraints
Cost comparator	Metrics DB	Compare human vs AI execution cost	Finance	Ignoring hidden implementation cost
Strategy board	Exec review	Decide reposition, augment, or automate	Leadership	Reactionary decision-making

2) Workflow

Decompose roles: Identify repeatable and decision-heavy components.
Score replaceability: Rate each task (Low / Medium / High).
Overlay compliance: Flag tasks that legally require human involvement.
Compare cost and latency: Evaluate financial impact of automation.
Design augmentation plan: Shift humans to higher-leverage work.
Phase rollout: Pilot automation in low-risk zones first.

3) Example Prompts

Role Decomposition

Break this role into:
- repeatable tasks
- judgment-based tasks
- relationship-driven tasks
Return structured output.

Replaceability Scoring

For each task:
Score replaceability (Low / Medium / High).
Justify score in one sentence.

Augmentation Planning

For tasks rated High replaceability:
Propose human augmentation pathways.
Focus on leverage and strategic value.

4) Guardrails

No automation without compliance review.
Hidden costs included in ROI projections.
High-trust roles require oversight layer.
Reposition before removal.

5) Pilot Rollout — 3 hours

Select one department.
Run full replaceability audit.
Identify 2–3 pilot automation candidates.
Model cost and risk.
Implement limited-scope automation.
Monitor performance and morale.

6) Metrics

% of roles decomposed
Replaceability score distribution
Automation cost savings vs forecast
Compliance flags triggered
Employee redeployment rate

Pro Tip: If you don’t audit yourself, someone else will.

🎯 The Arsenal — Tools & Platforms

Claude 4.6 Sonnet · Structured role decomposition · https://anthropic.com
GPT-5-mini · Feasibility and replaceability scoring · https://openai.com
Perplexity Pro · Industry benchmarking · https://perplexity.ai
Notion / Metrics DB · Audit tracking and ROI modelling · https://notion.so

Copy-paste prompt block:

Before assuming this role is safe:
Decompose tasks.
Score replaceability.
Overlay compliance.
If displacement risk is high, flag it.

💡 Free Office Hours

Want help implementing this? Book a free 15-minute Office Hours slot — no sales pitch, just workflows solved.

→ https://calendly.com/aaron-cylentis/the-next-input-office-hours

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🕹️ Game Over

Adoption accelerates. Prepared operators win.

— Aaron Automating the boring. Amplifying the brilliant.

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