Opera is taking another step toward making artificial intelligence a standard part of everyday internet use. On October 27, 2026, the browser company introduced WebAI, a proposed web standard that allows websites and browser extensions to use AI models running directly on a user’s computer instead of relying entirely on cloud-based services. The feature is launching as an early preview in Opera One, with support planned for Opera GX and Opera Neon as well. The goal is to make AI more accessible, reduce reliance on paid AI services, and give users greater control over their personal information.
What Will Local AI Allow Users to Do?
The biggest difference with WebAI is that artificial intelligence can work alongside the websites people already use, rather than requiring them to open a separate chatbot. Developers can create browser extensions that summarize articles, organize tabs, identify relevant job listings, sort information by importance, or help users find connections between large amounts of content. Someone researching investments, for example, might eventually use a browser extension to organize company news and highlight information relevant to a particular stock. Students could generate quizzes from articles they read, while professionals could sort research and identify useful information more efficiently. These are examples of what developers can build, rather than a guarantee that every feature is already available.
Privacy and cost are two major reasons this approach could gain traction. When an AI model runs locally, the information it processes does not need to be sent to an outside AI provider. Users may be able to access certain AI features without a subscription, while developers can build tools without paying for every request to a cloud-based model. Opera’s implementation supports models including Google’s Gemma and, on Apple silicon Macs, Apple’s on-device foundation model. The feature is optional, and users must enable it before a model is downloaded. However, local AI is not automatically risk-free: websites still require appropriate permissions, and performance depends on the user’s hardware. Smaller models may also be less capable than the most powerful cloud-based systems.
Where Could AI Move Next?
Opera’s announcement reflects a broader shift in AI development. Instead of concentrating all the processing in massive data centers, technology companies are increasingly exploring ways to run AI on personal computers, smartphones, and other devices. The next step could be more capable AI assistants built directly into operating systems, allowing users to search files, summarize documents, manage schedules, and automate routine tasks without constantly sending information to the cloud. Smartphones could also become more independent personal assistants, handling translations, photo organization, message summaries, and voice commands even when internet access is limited.
Another likely development is the growth of AI agents that do more than answer questions. Future assistants could help compare products across websites, prepare travel itineraries, complete forms, organize work projects, and carry out multistep tasks with user approval. Browsers are a natural place for this evolution because so much of everyday work already happens online. Local AI could eventually handle sensitive or routine parts of a task on the user’s device, while cloud-based AI tackles more demanding work when necessary.
AI may also spread further into cars, home devices, workplace software, and wearable technology. Vehicles could offer more natural voice assistants, smart-home systems could better understand household routines, and wearable devices could provide real-time assistance without requiring users to pull out a phone. These developments will depend on improvements in hardware, battery life, reliability, and privacy protections, but the direction is becoming clearer: AI is moving away from being something people deliberately open and toward becoming a capability built into the products they already use.
Opera’s WebAI is still an early preview, not a finished revolution in browsing. Its larger significance is the possibility that AI tools will become easier for developers to create, cheaper for users to access, and more private to operate. If that approach catches on, the future of AI may not depend solely on which company builds the biggest chatbot. It may depend just as much on how effectively AI can work on the devices people already own.
