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Tygo Cover > Tech > Firefox AI Backlash: Users Slam CPU-Draining ‘Bloat’

Firefox AI Backlash: Users Slam CPU-Draining ‘Bloat’

Hashim Haque
Last updated: August 10, 2025 5:53 pm
Hashim Haque
Tech AI
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11 Min Read
A laptop overheating due to the Firefox AI backlash, with a glowing red screen and a draining battery icon.

The Firefox AI backlash is gaining momentum as Mozilla, the organization behind the beloved open-source browser, faces a storm of criticism from its core community. Following the release of Firefox 141, tech forums and social media have been flooded with complaints from users reporting that new, privacy-first Artificial Intelligence features are causing severe performance hits, including extreme CPU spikes and alarming battery drain, as first reported by Neowin.

This has led to accusations that Firefox, long celebrated as a lean and efficient alternative to its resource-heavy rivals, is succumbing to “bloatware”. The controversy exposes a difficult challenge for Mozilla: a principled strategy to innovate with on-device AI to protect user privacy has backfired, creating a user experience so poor that it risks alienating the very users the browser relies on. For many, these new features represent a betrayal of the browser’s fundamental promise: to be fast, reliable, and respectful of a user’s system resources.

The Firefox AI Backlash: “My CPU is Going Nuts”

The discontent started with users noticing their laptop fans spinning wildly and battery life dropping during normal browsing. The issue quickly gained traction on communities like r/technology and Hacker News, where users identified a common source: a new background process in Firefox’s task manager named “Inference”.

Users reported this process consuming a shocking amount of processing power, with some observing CPU usage spiking to over 100% even when the browser was idle. One user on Reddit captured the community’s anger, stating, “I don’t want this garbage bloating my browser, blowing up my CPU, and killing my battery life”. Another confirmed that trying to kill the process would crash the entire browser.

This sentiment was widely shared, forming a clear complaint: Mozilla was adding non-essential features that compromised the browser’s main purpose. As one user bluntly put it, “The point of a browser is to DOWNLOAD AND RENDER WEB PAGES”. For a user base that chooses Firefox to avoid the feature creep of competitors, this move felt like a philosophical betrayal. The backlash shows a deep-seated expectation that Firefox should remain a fast, reliable tool, not a platform for experimental AI that harms everyday use.

Under the Hood: The Technical Price of On-Device Privacy

A diagram showing Firefox's on-device AI processing using the local CPU versus cloud-based AI.

The “Inference” process is a core part of the Firefox AI Runtime, a new system designed to run machine learning models directly on a user’s computer. This on-device method is a deliberate strategic choice by Mozilla. While competitors process AI queries on powerful cloud servers, Mozilla’s approach ensures that browsing data and other sensitive information never leave the user’s machine, offering superior privacy.

Technically, the runtime uses Transformers.js, a library for running AI models, and the ONNX (Open Neural Network Exchange) runtime, a framework for high-performance machine learning. The entire system is compiled into WebAssembly (WASM), allowing it to run securely in an isolated process inside the browser.

This privacy-first design, however, comes at a high performance cost. By avoiding the cloud, Firefox places the entire computational workload of running these AI models onto the user’s CPU. Tasks like analyzing tab content for “smart groups” are intensive. Without the power of a data center, the user’s processor must bear the load, leading directly to the CPU spikes and battery drain being reported.

Some users have questioned the choice of ONNX, with technical discussions on platforms like Hacker News suggesting a more specialized format like GGUF might be more efficient for the language-based tasks being deployed. The performance problem is not just a bug but a fundamental trade-off in Mozilla’s decision to put privacy first.

The Browser AI Arms Race: A Battle of Cloud vs. Client

A visual comparison of browser AI, showing Firefox's on-device approach versus the cloud infrastructure of competitors.

Mozilla’s move into on-device AI is a direct response to the industry-wide push to integrate artificial intelligence into the user experience, a key part of current global tech trends. Every major browser is in an “AI arms race,” with each company’s strategy reflecting its strengths.

  • Microsoft Edge: Microsoft has fully embraced cloud-based AI, integrating its Copilot browser assistant deeply into Edge. Features like page summarization and content generation are powered by Microsoft’s Azure cloud, offloading the work from the user’s device. This allows for powerful features but requires sending browsing data to Microsoft’s servers.
  • Google Chrome: Google is also using its cloud dominance. Experimental features like the “Tab Organizer” send tab data to Google for processing. The broader integration of Gemini also relies on server-side computation, trading some privacy for powerful assistance.
  • Brave: Like Firefox, the privacy-focused Brave browser uses an on-device strategy with its Leo AI assistant. It aims to provide summaries and answer questions without data leaving the machine. User feedback for Leo has been mixed, with complaints often focused on the quality of the smaller, on-device models compared to their cloud-based rivals.

This competitive field highlights Mozilla’s tough position. It lacks the cloud infrastructure to compete with Microsoft and Google on server-side AI power. At the same time, its on-device approach, while true to its brand, has created a major performance issue. Mozilla is trying to find a middle ground, but the initial rollout shows this path is filled with challenges.

Regaining Control: How to Disable Firefox’s AI Features

For users hit by performance issues or those who simply don’t want AI in their browser, it is possible to disable Firefox AI features. The method depends on the specific feature, ranging from a simple toggle to an advanced configuration change.

Method 1: Standard Settings Menu

Some AI-powered features can be controlled from Firefox’s main settings panel. For AI-assisted tab grouping, the option can usually be found here:

  1. Click the menu button (three horizontal lines) and select “Settings.”
  2. Go to the “General” panel.
  3. Scroll down to the “Tabs” section.
  4. Uncheck the box that says “Use AI to suggest tabs and a name for tab groups”.

Note: This option may only appear if the feature has been rolled out to your Firefox installation.

Method 2: Advanced Configuration (about:config)

For a more complete approach that disables the underlying AI components, users must use Firefox’s advanced configuration editor. This should be done with caution.

  1. Open a new tab and type about:config into the address bar, then press Enter.
  2. A warning page will appear. Click “Accept the Risk and Continue”.
  3. Use the search bar to find the following preferences and toggle their values to false.
  • To disable the AI chatbot:
    • Search for browser.ml.chat.enabled and set it to false.
  • To disable smart tab grouping:
    • Search for browser.tabs.groups.smart.enabled and set it to false.
  • To disable the AI runtime more broadly:
    • Search for browser.ml.enable and set it to false.

Restarting the browser after making these changes will ensure they take full effect. This method is the most thorough way to prevent the “Inference” process from running.

Practical Impact

The real-world effects of Firefox’s AI-related performance problems go beyond simple annoyance. For a user on a powerful desktop, a brief CPU spike might not be noticeable. For many others, the impact is severe.

On laptops, the high CPU usage leads to a dramatic drain on battery life, cutting a machine’s usable time significantly. This is especially damaging for remote workers and students who depend on their device’s portability.

The extra heat forces cooling fans to run at high speeds, creating noise and making the device uncomfortable to use. For users with older or less powerful hardware, the resource drain can make the entire system sluggish and unresponsive, rendering the browser difficult to use for multitasking. This performance hit directly contradicts the user’s expectation of a fast, efficient browsing experience, turning a reliable tool into a source of frustration.

Frequently Asked Questions (FAQ)

Q1: What is the “Inference” process in Firefox causing high CPU usage?

A: The “Inference” process is part of Firefox’s new on-device AI system. It runs machine learning models directly on your computer for features like smart tab grouping, which causes high CPU usage as it performs complex calculations locally instead of in the cloud.

Q2: Is Mozilla using my browsing data to train its AI?

A: According to Mozilla’s privacy notice, these new on-device AI features operate locally. Your web page content, tab URLs, and other personal data are not sent to Mozilla’s servers or used for training purposes without your explicit consent.

Q3: Can I completely turn off the new AI features in Firefox?

A: Yes. Some features can be disabled in the standard Settings menu, while others require you to go to the about:config page and set flags like browser.ml.chat.enabled and browser.tabs.groups.smart.enabled to false.

Q4: Why is Firefox adding AI if it slows down the browser?

A: Mozilla is competing with other major browsers like Chrome and Edge, which are heavily integrating AI. By developing on-device AI, Firefox is attempting to offer modern features while maintaining its core commitment to user privacy, though this has come at a significant performance cost.

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ByHashim Haque
Based in San Mateo, California, Hashim Haque is a Data Scientist who lives at the intersection of data and technology. With a passion for uncovering the stories hidden within the numbers, he brings a unique, analytical perspective to the world of tech. Hashim's writing for TygoCover decodes the data behind the headlines, offering readers a deeper understanding of AI, emerging trends, and the quantitative forces shaping our digital future.
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