AI has arrived, bringing with it a silent "job extinction" wave. AI has deeply penetrated news gathering, editing, aggregation, and distribution processes. From Perplexity's bold $34.5 billion bid to acquire Chrome to Particle's creation of panoramic news summaries, AI is reconstructing information gateways and user experiences. Journalism positions face "silent extinction," with 57% believing they will be replaced.

AI is redefining the entry points and methods of information acquisition. Meanwhile, native AI news products deliver user experiences vastly different from traditional news. A study shows that AI has already emerged in newsrooms worldwide. This research, conducted by researchers from the University of Copenhagen and the University of Chicago, focuses on professions that may be affected by generative AI, particularly journalism.

Anders Humlum states that journalists may be "at the forefront of using AI chatbots." However, in a survey of working journalists, 57.2% believe AI will replace more jobs, with some stating: "We are witnessing a slow and silent extinction of news journalists and editors." Over 70% of journalists indicated that AI will replace them in the coming years.

This wave of new technology—marked by automated content generation, AI-based social media monitoring, and algorithmic editorial decisions—has triggered alarm across the industry. Meanwhile, tech companies have decided to continue doubling down, not only seeking to control human information traffic gateways but also to transform information distribution methods.

**Perplexity's David vs. Goliath Move**

Last Wednesday, renowned AI search engine startup Perplexity formally presented Google with a shocking acquisition offer: $34.5 billion to purchase the Chrome browser. Behind this seemingly impossible "David vs. Goliath" move lies Perplexity's ambition and venture capital's bet on AI information gateways—Chrome has over 3 billion users globally and is one of the internet era's most critical traffic entry points. Controlling the browser equals controlling users' information channels.

Perplexity entered the AI information space through search and previously launched an AI news aggregation feature called "Discover," which real-time crawls and integrates news across the web, presenting hot event knowledge bases through interactive Q&A formats. Articles on Discover aren't randomly scraped but are generated in combination with Perplexity Pages—a tool that helps users organize search results into structured, visualized articles.

This content is presented in "page" format, organized by topics like technology, finance, and entertainment, allowing users to browse quickly while having deep experiences. Discover pages are Perplexity's designed content discovery and browsing method for users. Using optimized "Pages" with rich graphics and text as carriers, they aggregate the platform's latest, hottest, and most in-depth themes and perspectives, allowing users to quickly capture inspiration and deeply explore interests.

**Particle's Alternative AI News Organization**

AI news application Particle functions similarly, featuring three main characteristics: summarization, personalization, and speed. Particle News is an intelligent news agent in your pocket. Particle is an AI-driven news platform founded by former Twitter engineers, with its Particle.news website officially launching in May 2025.

Particle.news provides AI-generated news summaries, allowing users to quickly understand key content without reading full articles. Through curated media citations and multi-angle views, each summary includes multiple mainstream news media sources, prominently displayed to help users access original information in depth. Particle.news processes media materials, articles, and citations separately for convenient viewing.

In the blog program "The Media Copilot," Particle CEO Sara Beykpour believes AI is changing how people consume news: "All news aggregators aren't really aggregating... they're just collecting... Particle is the true aggregator." Unlike traditional aggregators that simply pile up news, Particle uses AI technology to generate panoramic summaries for each topic—highlighting key facts, uncovering original sources (like tweets or trailers), and analyzing media reporting tendencies.

**Beyond News: AI's Impact on Content Creation**

Today's social platforms rely on creators to produce content, then monetize through advertising. If AI-generated short videos, images, and posts can be equally engaging, then Meta could gradually "cut out the middleman"—no longer needing to pay creators. This trend is already happening. Some creator channels are almost 100% AI-driven, yet viewership remains massive.

This shows that most audiences don't actually care "whether this is AI-made"—they only care about obtaining information or entertainment. Younger generations especially think this way. For them, "content is content," without deliberately distinguishing between human or AI creation. As long as it brings joy and stimulation, they'll continue scrolling.

This poses a huge impact on traditional creators. In coming years, there may be a flood of "AI-generated idols" and "AI series," with increasing audience acceptance.

**How Will AI Reshape Internet Content?**

For the same news story, multimodal AI can automatically generate multiple message formats. AI news is like water, changing form with the medium. Moreover, news alternatives no longer need to worry about creator strikes, emotional fluctuations, rule violations, or scandals—AI doesn't have these problems.

In the future, journalists will become "information architects," needing to understand AI while maintaining ethical boundaries. AI and humans will complete new divisions of labor: - AI takes over: data organization, background explanation, basic reporting - Humans focus on: field investigation, value judgment, error correction

AI content creation speed in the AI era is exponential, and traditional news generation processes will ultimately be disrupted. But remember: information can be mastered by AI, while news value still requires human judgment.

**Changes in Human User Reading Experience**

From a user perspective, AI news products bring refreshing reading experiences: more efficient, personalized, and interactive information acquisition. First is one-stop panoramic reporting. Previously, readers often needed to browse multiple reports to understand different aspects of major events. Now, AI aggregators automatically consolidate multi-source information, reconstructing content by events, allowing users to obtain core facts, various viewpoints, and background context on a single page.

Second, reading becomes more interactive and personalized. Traditional news is one-way output—readers with questions can only search themselves or wait for follow-up reports. AI news products introduce conversational interaction, allowing users to ask AI about interesting details, achieving "see and ask, ask and answer." This interactivity transforms reading from passive acceptance to active exploration: reading news no longer stops at what reporters wrote, but users can further ask "what next? Why did this happen?"

AI is reshaping industry landscapes from news production, distribution to consumption. For news professionals, AI brings both efficiency tools and transformation requirements: they need to collaborate with AI, focus on higher-level content creation and supervision, and grasp the irreplaceable aspects of "humanity."

For AI news products themselves, finding healthy business models is crucial—only by respecting content value and benefiting content sources can they gain long-term industry support. Media ecosystems will also seek new balance through adaptation, with human-machine symbiosis potentially becoming journalism's new normal.

The ultimate goal is undoubtedly to benefit users: when redundant information noise is filtered, diverse viewpoints are aggregated, and knowledge acquisition becomes within reach—we move one step closer to the vision of "everyone being able to conveniently understand the real world."