1. Prompt Engineering This is leverage. Clear prompts turn AI from a text generator into a thinking partner. If you can’t direct it, you’ll always get shallow output.
2. AI agents Replies are easy. Completion is valuable. Agents take a goal and finish the work end-to-end without babysitting.
3. Workflow automation This is where real-time savings come from. If a task repeats, automate it with tools like Zapier or n8n.
4. Agentic AI The next step up. AI that can plan, adapt, and correct itself mid-task. A huge part of my learning this year has come from watching the Searchable team build these systems.
5. Multimodal AI AI that moves seamlessly between text, visuals, audio, and code.
6. RAG (Retrieval-Augmented Generation) Generic AI is risky. RAG grounds models in your data so accuracy improves over time. This is how AI starts thinking like an employee.
7. AEO / GEO Search is changing. If AI answers the questions and your brand isn’t in those answers, you disappear.
8. AI tool stacking One tool helps. Connected tools become a system that runs quietly in the background. Find 4–5 you use daily, that’s your stack.
9. AI content generation Use it for consistency, not churn. This is how small teams produce daily output without burning out.
10. LLM management Control cost and performance, or you lose track of ROI fast.
You don’t need all of this today.
But these are the skills that compound over the next decade.
Start 2026 by nailing the ones that will actually move your career or business forward.
Techpreneur
Techpreneur
1. Prompt Engineering
This is leverage. Clear prompts turn AI from a text generator into a thinking partner. If you can’t direct it, you’ll always get shallow output.
2. AI agents
Replies are easy. Completion is valuable.
Agents take a goal and finish the work end-to-end without babysitting.
3. Workflow automation
This is where real-time savings come from.
If a task repeats, automate it with tools like Zapier or n8n.
4. Agentic AI
The next step up. AI that can plan, adapt, and correct itself mid-task.
A huge part of my learning this year has come from watching the Searchable team build these systems.
5. Multimodal AI
AI that moves seamlessly between text, visuals, audio, and code.
6. RAG (Retrieval-Augmented Generation)
Generic AI is risky. RAG grounds models in your data so accuracy improves over time.
This is how AI starts thinking like an employee.
7. AEO / GEO
Search is changing. If AI answers the questions and your brand isn’t in those answers, you disappear.
8. AI tool stacking
One tool helps. Connected tools become a system that runs quietly in the background.
Find 4–5 you use daily, that’s your stack.
9. AI content generation
Use it for consistency, not churn.
This is how small teams produce daily output without burning out.
10. LLM management
Control cost and performance, or you lose track of ROI fast.
You don’t need all of this today.
But these are the skills that compound over the next decade.
Start 2026 by nailing the ones that will actually move your career or business forward.
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Techpreneur
Motorola edge 60 Fusion 💬
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