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- 🎮 The Next Input — Issue #189
🎮 The Next Input — Issue #189
The 2026 AI Jobs Warning
Aaron Bost
June 16, 2026
In partnership with
Giphy
⚡ The Briefing — 60 sec
PwC 2026 AI Jobs Barometer TL;DR: If you have skills, experience, and know how to work with AI? $$$. If you're just entering the workforce? It might be time to get really creative, really quickly. Busking, building, selling, starting something — pick your flavour.
Today's AI talks like nobody: new research gives it real personality Super cool article. One of the most overlooked shifts in AI is that we're moving beyond "answers" and into "character." Personality is rapidly becoming a feature, not a bug.
Aussies warned over risks of uploading personal documents to AI platforms A useful reminder: just because you can upload something into an AI system doesn't mean you should. Governance isn't sexy until it saves your ass.
🛠️ The Playbook — Personal AI Workforce Engine
Mission
Build a secure AI-powered productivity system that amplifies individual output while protecting sensitive information.
Difficulty
Intermediate
Build time
3–5 hours
ROI
Turns one knowledge worker into the equivalent of a small team without creating unnecessary privacy or governance risks.
0) Why This Matters
AI is creating a strange new labour market.
The gap between:
AI-enabled professionals
AI-agnostic professionals
...is widening rapidly.
The highest performers aren't necessarily becoming smarter.
They're becoming more leveraged.
The challenge is building that leverage without accidentally feeding confidential business data into systems that shouldn't have it.
1) Architecture
Component | Tool | Purpose | Owner | Failure mode |
|---|---|---|---|---|
User workspace | Teams / Desktop | Daily work environment | Employee | Fragmented workflows |
Reasoning layer | OpenAI GPT-5.5 / Claude | Analysis and execution | User | Poor prompting |
Personal memory | Pinecone Pinecone | Context retrieval and continuity | User | Outdated context |
Governance layer | Entra ID | Permissions and security controls | IT | Oversharing |
Workflow engine | LangGraph | Multi-step automation | Operations | Workflow drift |
Audit layer | PostgreSQL | Activity and compliance tracking | Security | Missing logs |
2) Workflow
Capture tasks, notes, documents, and requests in a central workspace.
Route work to AI systems based on complexity and sensitivity.
Retrieve relevant context from approved knowledge sources.
Generate drafts, analyses, and recommendations.
Review outputs before execution.
Continuously refine workflows and knowledge sources.
3) Example Prompts
Career Leverage Prompt
You are an AI career strategist.
Review my current role.
Identify:
- repetitive work
- high-leverage activities
- tasks suitable for AI support
- skills likely to increase in value
- skills likely to decline in value
Provide a 12-month development plan.
Personal Productivity Prompt
Review my weekly workload.
Identify:
- administrative tasks
- reporting overhead
- communication bottlenecks
- opportunities for automation
- activities requiring human judgement
Estimate time savings.
Privacy Review Prompt
Review the following AI workflow.
Identify:
- privacy risks
- sensitive information exposure
- governance gaps
- compliance concerns
- safer alternatives
Provide mitigation recommendations.
4) Guardrails
Never upload confidential information without approval.
Use enterprise environments for business-sensitive work.
Review AI outputs before acting on them.
Maintain access controls for stored knowledge.
Log important AI-assisted decisions.
Regularly review privacy and retention policies.
5) Pilot Rollout — 3 hours
Document one week of recurring work.
Identify repetitive tasks consuming the most time.
Build AI workflows for low-risk activities first.
Create a personal retrieval knowledge base.
Measure time saved over two weeks.
Expand to more complex workflows gradually.
6) Metrics
Hours saved per week
Administrative workload reduction
AI adoption rate
Task completion speed
Workflow automation coverage
Knowledge retrieval accuracy
Privacy incidents
Pro Tip: The biggest productivity gains don't come from asking AI better questions. They come from building systems that remember the answers.
🎯 The Arsenal — Tools & Platforms
OpenAI GPT-5.5 · reasoning, drafting, and execution support · Link
Anthropic Claude · deep analysis and long-context work · Link
Pinecone Pinecone · personal knowledge retrieval and memory · Link
Microsoft Entra ID · security and access management · Link
PostgreSQL PostgreSQL · activity logging and operational memory · Link
Copy-paste prompt block:
You are an AI workforce architect.
Help me build a personal AI operating system.
Analyse:
- my current workload
- repetitive activities
- communication overhead
- reporting requirements
- knowledge management needs
Return:
1. highest leverage automations
2. recommended AI workflows
3. privacy considerations
4. implementation roadmap
5. expected time savings
6. success metrics
💡 Free Office Hours
The biggest AI opportunity for most professionals isn't replacing their job. It's becoming dramatically more effective at the one they already have.
Book here: https://calendly.com
Fix that. Live. With Clay + HubSpot.
Defining your ICP on vibes is a pipeline killer. In Build Your GTM Alpha, Clay + HubSpot for Startups walk you through a live build. Real prospect list. Real enrichment. Real outreach sequence. You don't leave with a plan. You leave with outbound running. June 18. 11am ET / 4pm GMT.
🕹️ Game Over
The future might not belong to the smartest workers.
It might belong to the workers with the best systems.
— Aaron Automating the boring. Amplifying the brilliant.
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