A new thing I am watching closely is running AI directly inside the browser instead of sending every request to an AI API.

The main technology behind this is WebGPU.

WebGPU gives JavaScript applications access to the GPU for high-performance graphics and compute workloads. It is now also being used for browser-based AI inference. Google has brought its LiteRT inference stack to the browser with WebGPU support, which makes on-device AI more practical for web applications.

The architecture can look like this:

React App
   ↓
JavaScript
   ↓
WebGPU
   ↓
AI Model
   ↓
Result

There is no request to my Laravel API for the actual AI calculation.

This can be useful for:

• Image processing
• Text classification
• Small AI assistants
• Speech processing
• AI features that need low latency
• Applications where sending data to a server is not ideal

For example:

User uploads image
        ↓
Browser
        ↓
WebGPU
        ↓
AI model
        ↓
Result

This can make some AI features much faster because the data does not always need to travel to a server and back.

Another interesting part is that WebGPU is not limited to browsers. New tooling is also bringing WebGPU-style compute to Node.js and other environments.

I don't think this will replace APIs like OpenAI or Claude.

For large models, complex reasoning and server-side processing, cloud AI is still useful.

But for smaller models and real-time frontend features, browser AI with WebGPU is something I would definitely test in a React project.

My main takeaway is simple:

AI does not always have to run on the server. Some AI can now run directly on the user's device.