Two Ways to Use AI
When you use ChatGPT, Claude, or Gemini, you're using cloud AI. Your messages travel over the internet to a data center, get processed by powerful hardware, and the response comes back to you.
But there's another option gaining traction: local AI. This means running an AI model directly on your own computer, phone, or server. No internet connection needed. No data leaves your device.
Both approaches work. Both have tradeoffs. Understanding them helps you make the right choice for your situation.
Cloud AI: The Default Experience
Cloud AI is what most people use today. You open a browser, go to chatgpt.com or claude.ai, and start chatting.
How it works: Your message goes to a data center where it's processed by clusters of specialized hardware (GPUs costing tens of thousands of dollars each). The response is generated and sent back to you.
Why it's popular:
- Zero setup — just make an account
- Access to the most powerful models (GPT-4, Claude, Gemini)
- Works on any device with a browser
- The provider handles all the technical complexity
The catch:
- Your data is processed on someone else's servers
- Requires an internet connection
- Usage limits or subscription fees
- The provider can see your conversations (with varying privacy policies)
- Service can go down or change without notice
Local AI: The Privacy-First Alternative
Local AI runs entirely on your hardware. You download a model, install some software, and everything happens on your machine.
How it works: The AI model is stored on your hard drive and runs on your computer's processor (CPU) or graphics card (GPU). When you ask it something, the computation happens locally — nothing is sent over the internet.
Why people choose it:
- Complete privacy — no data ever leaves your device
- No subscription fees after initial setup
- Works offline (airplane, remote locations, unreliable internet)
- No usage limits
- Full control over which model you use and how it behaves
The catch:
- Requires decent hardware (especially for larger models)
- Smaller models than what cloud providers offer
- Some technical setup required
- You're responsible for updates and maintenance
The Head-to-Head Comparison
| Factor | Cloud AI | Local AI |
|---|---|---|
| Setup | Make an account (2 minutes) | Install software + download model (30-60 minutes) |
| Privacy | Data processed on provider's servers | Data never leaves your device |
| Cost | $0-$20/month subscription | Free after hardware investment |
| Model quality | Best available (hundreds of billions of parameters) | Good but smaller (7-70 billion parameters typically) |
| Speed | Fast (powerful data center hardware) | Depends on your hardware |
| Internet required | Yes | No |
| Hardware needed | Any device with a browser | Good CPU or a dedicated GPU |
| Maintenance | Provider handles everything | You manage updates |
When Cloud AI Makes More Sense
Use cloud AI when:
- You need the most capable model available for complex reasoning, creative writing, or specialized tasks
- You don't want to deal with any technical setup
- Privacy isn't a primary concern for what you're working on
- You're on a device that can't run models locally (phone, Chromebook, old laptop)
- You need features like web search, image generation, or file analysis that are built into cloud platforms
When Local AI Makes More Sense
Use local AI when:
- You're working with sensitive information (medical records, financial data, legal documents, personal diaries)
- You want to use AI without an internet connection
- You're uncomfortable with your conversations being stored on someone else's servers
- You have a capable computer and want unlimited, free AI usage
- You want to experiment with different models or customize behavior
What You Need to Run AI Locally
Local AI has gotten surprisingly accessible. Here's what the hardware landscape looks like:
| Hardware | What You Can Run | Experience |
|---|---|---|
| Modern laptop (16GB RAM, no GPU) | Small models (1-3B parameters) | Slow but usable for simple tasks |
| Gaming PC (32GB RAM, RTX 3060+) | Medium models (7-8B parameters) | Good speed, genuinely useful |
| High-end PC (64GB RAM, RTX 4090) | Large models (70B parameters) | Excellent — comparable to cloud for many tasks |
| Apple M2/M3/M4 Mac (32GB+) | Medium to large models | Surprisingly good — Apple Silicon handles AI well |
The software side is even simpler. Tools like Ollama let you download and run models with a single command. No programming required.
The Privacy Question
This is often the deciding factor, so let's be specific about what happens to your data:
With cloud AI:
- Your messages are transmitted over the internet (encrypted in transit)
- They're processed on the provider's servers
- Most providers store conversations (for varying periods)
- Providers have different policies on whether your data is used for training
- Enterprise plans typically offer stronger privacy guarantees
With local AI:
- Your messages never leave your computer
- No one else can access them (unless your computer itself is compromised)
- No terms of service govern your conversations
- You can delete everything at any time with certainty
For most casual use — asking for recipes, getting writing help, brainstorming ideas — cloud privacy is probably fine. But if you're processing client data, working with medical information, or just value digital privacy on principle, local AI is worth the setup effort.
The Hybrid Approach
You don't have to pick one. Many people use both:
- Cloud AI for complex tasks that need the most powerful models
- Local AI for sensitive work, offline use, or quick questions that don't need peak performance
This gives you the best of both worlds — maximum capability when you need it, maximum privacy when it matters.
Getting Started with Local AI
If you want to try local AI, the simplest path is:
- Install Ollama (available for Mac, Windows, and Linux)
- Open a terminal and type:
ollama run llama3.1 - Wait for the model to download (~4 GB)
- Start chatting — everything runs on your machine
That's genuinely all it takes. From zero to a working local AI in about 10 minutes on a modern computer.
Not sure which AI tool to pick? Read How to Pick the Right AI Tool for You.
Want to see AI in action for business? See how it works — a custom AI assistant from setup to live.