The Next Input — Issue #190

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⚡ The Briefing — 60 sec

• Plaud says its software business topped $100M ARR after shipping over 2M AI notetakers Don't let anyone fool you. Hardware is still a very solid bet when done right. Everyone got so obsessed with software that they forgot physical products can be incredible distribution engines. And no, Plaud doesn't sponsor me... yet 😉

• France chooses AI data tools provider over Palantir 👀 This might not be breaking news to you, but in Cylentis-land? Alarm bells. Sovereign AI, sovereign infrastructure, sovereign data. Expect this theme to keep getting louder.

• Can AI turn agriculture into Australia's next investment theme? AgTech is booming. Turns out farmers quite like technologies that reduce costs, increase yield, and don't spend six months arguing in committee meetings.

🛠️ The Playbook — Sovereign AI Operations Stack

Mission
Build AI systems that create operational leverage while maintaining ownership of your data, workflows, and institutional knowledge.

Difficulty
Advanced

Build time
4–6 hours

ROI
Reduces vendor dependency, improves data governance, and creates long-term strategic control over AI operations.

0) Why This Matters

The first AI wave was about capability.

The second wave is about control.

Questions organisations are starting to ask:

• Where does our data live?

• Who owns the models?

• Can we migrate providers?

• What happens if pricing changes?

• What happens if regulations change?

• What happens if our AI vendor becomes our competitor?

These aren't technical questions anymore.

They're board-level questions.

1) Architecture

2) Workflow

1. Ingest operational data into controlled repositories.

2. Create retrieval layers around proprietary knowledge.

3. Route requests through orchestration systems rather than directly to models.

4. Implement governance and approval controls.

5. Measure business outcomes continuously.

6. Maintain the ability to swap AI providers when required.

3) Example Prompts

Sovereignty Assessment Prompt

You are an AI governance strategist.

Review the following AI architecture.

Identify:
- vendor lock-in risks
- data sovereignty risks
- governance gaps
- migration challenges
- operational dependencies

Provide recommendations ranked by severity.

AgTech Opportunity Prompt

You are an AI innovation consultant.

Review the following agricultural business.

Identify:
- automation opportunities
- predictive analytics opportunities
- reporting improvements
- operational bottlenecks
- AI use cases with measurable ROI

Return a prioritised implementation roadmap.

AI Infrastructure Prompt

Design an AI architecture that:

- preserves organisational control
- minimises vendor lock-in
- supports governance
- scales across departments
- protects institutional knowledge
- remains flexible for future models

Return architecture and implementation steps.

4) Guardrails

• Avoid direct dependence on a single AI provider.

• Maintain ownership of business-critical data.

• Separate business logic from model logic.

• Log all high-impact AI decisions.

• Review governance controls regularly.

• Plan migration paths before they are needed.

5) Pilot Rollout — 3 hours

1. Identify one business-critical AI workflow.

2. Map data ownership and storage locations.

3. Build a retrieval layer around internal knowledge.

4. Introduce governance and approval checkpoints.

5. Test portability across multiple AI providers.

6. Measure operational resilience and flexibility.

6) Metrics

• Vendor dependency ratio

• Data ownership coverage

• AI workflow portability

• Governance compliance rate

• Retrieval accuracy

• Operational uptime

• Time-to-migrate between providers

Pro Tip: The most valuable AI asset in your company probably isn't the model. It's the proprietary knowledge wrapped around it.

🎯 The Arsenal — Tools & Platforms

• Pinecone Pinecone · retrieval and institutional memory · Link

• OpenAI GPT-5.5 · reasoning and workflow execution · Link

• Anthropic Claude · long-context analysis and planning · Link

• Grafana Labs Grafana · operational monitoring and observability · Link

• Microsoft Entra ID · identity governance and access management · Link

Copy-paste prompt block:

You are an AI sovereignty and governance consultant.

Assess my organisation's AI stack.

Evaluate:
- data ownership
- vendor dependency
- governance maturity
- portability
- retrieval architecture
- operational resilience

Return:
1. risk assessment
2. architecture recommendations
3. migration strategy
4. governance controls
5. implementation roadmap
6. success metrics

💡 Free Office Hours

Most organisations are focused on what AI can do today. Increasingly, the more important question is whether they'll still control that capability three years from now.

Book here: https://calendly.com

The 10 Best AI Stocks to Own in 2026

AI is moving from experiment… to essential.

Every major industry is integrating it.
Every major company is investing in it.

By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.

Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.

But here’s the real question…

When trillions flow into this transformation — which stocks stand to benefit most?

Our new report reveals 10 AI stocks positioned across the backbone of this shift — from the companies powering the infrastructure… to those embedding intelligence into everyday systems.

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🕹️ Game Over

The first AI race was about building intelligence.

The next one might be about who owns it.

— Aaron Automating the boring. Amplifying the brilliant.

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