Adapt to thrive amidst the technological storm.
June 21st each year is always an occasion for journalists to reflect on their journey so far and chart a course for the future. However, 2026 is unlike any other milestone in the history of modern journalism: We are no longer standing at the threshold of change, but are at the very "eye of the storm" of a comprehensive revolution.
Dr. Vu Hai Quang
Deputy Director General of the Voice of Vietnam
June 18, 2026
June 21st each year is always an occasion for journalists to reflect on their journey so far and chart a course for the future. However, 2026 is unlike any other milestone in the history of modern journalism: We are no longer standing at the threshold of change, but are at the very "eye of the storm" of a comprehensive revolution.
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The Reuters Institute's annual report earlier this year made a powerful observation: "In 2026, news organizations will continue to apply AI generation in every aspect from data collection to product distribution, while facing existential pressure from answer engines—entities that are dramatically reducing traffic to traditional news sites."
This forecast is not just a warning about technology; it's a strategic challenge regarding the survival and core values of journalism in a digital ecosystem being redefined by AI.
By mid-2026, AI generation will no longer be a foreign concept or an "add-on" tool for newsrooms, but will have become the true operating system of modern news organizations, deeply involved in three core stages:
News Gathering - A Giant Data Scanner
In 2026, journalists will no longer have to spend hours manually compiling data or translating. Advanced AI systems, customized specifically for newsrooms, can scan billions of data points from macroeconomic reports and stock market data to social media streams in real time. AI's signal-detection capabilities allow newsrooms to catch trends or unusual fluctuations before they become headline news. This is especially crucial for news reporting and economics, where speed and data reliability are vital.
Package multi-format content in an instant.
The paradox of modern journalism is that the public wants in-depth information but has little time. AI has solved this problem by its ability to flexibly "package" content. A long-form investigative report of about 3,000 words can be instantly summarized by AI into 200 words for a morning news bulletin, a short video script for TikTok/Reels, and an audio news broadcast (podcast) with an artificial voice that sounds just as emotional as a real person. This transformation happens automatically, optimizing human resources so that reporters and editors can focus on tasks requiring reflection and professional ethics—things that algorithms cannot yet address.
Content distribution - Personalization at every "touchpoint"
In 2026, the home pages of online newspapers will no longer be a generic, one-size-fits-all interface. Thanks to AI, the public experience will be completely personalized. The system will understand users' habits, preferences, and schedules to deliver the most relevant information at the right time. This is not just a distribution technique, but an effort by journalism to retain readers in today's information-saturated world.
If AI is an extension of the power structure that helps broadcasters improve productivity, then the rise of "Answer Engines" poses a direct threat to the current economic model of journalism.
Changes in search behavior
For the past two decades, journalism has relied on the "link economy." Users search on Google, see the headline, and click on the news site. The emergence of answer engines like Gemini, ChatGPT-5, and Perplexity has disrupted this cycle. Instead of providing a list of links, AI aggregates information from reputable news sources and presents a complete, concise answer directly within the search interface.
So what's the consequence? Users get the answer they need without ever having to visit the original news site. This phenomenon is called "Zero-click Search".
Traffic crisis
Data from mid-2025 to early 2026 shows that search engine traffic to news websites globally has decreased by 30% to 50%. This is a major blow to advertising revenue (AdSense) and the ability to convert readers into paying subscribers. When "Answer Engines" take news content and rework it into their own answers, newsrooms find themselves in a dilemma: their content remains valuable to users, but that value is being exploited by tech giants instead of them.
Under pressure from "Answer Engines," journalism in 2026 is being forced to undergo a major overhaul of its thinking. If AI can synthesize information faster, then journalism must provide what AI cannot synthesize.
From "Information" to "Knowledge and Trust"
Answer engines are very powerful at answering the question "what?", but often weak at explaining "why?" and "what does this mean?". News organizations are shifting their focus to in-depth analytical articles, exclusive reports, and predictive perspectives. This shift requires journalists to be not just news providers but also experts, economists, and scientists with credibility in their respective fields.
Build a community instead of seeking traffic.
Instead of relying on Google or Facebook for readers, newsrooms in 2026 will focus on owning user data (first-party data). Personalized newsletters, closed forums for members, and exclusive mobile applications will become "fortresses" protecting journalism from third-party algorithm changes. The goal will no longer be millions of superficial views, but tens of thousands of loyal readers willing to pay for high-quality content.
Content copyright and the legal battle.
2026 also saw intense copyright negotiations between news organizations and AI technology corporations. Forcing Answer Engines to clearly cite sources and share revenue when using journalistic content to train their models was no longer an option, but a legal necessity to ensure fairness in the information ecosystem.
In Vietnam, amidst the celebrations of the 101st anniversary of Revolutionary Journalism Day, these global challenges are becoming even more apparent. Given its unique role as a political press, shaping public opinion and providing social commentary, Vietnamese journalism cannot afford to be left out of the AI game.
We are witnessing a strong transformation of major media outlets in building "national digital platforms." The application of AI in journalism is not just about keeping up with technology, but about better fulfilling the political mission: delivering information from the Party and State to the people in the fastest, most accurate, and most accessible way on all devices.
However, in a context where Answer Engines can spread misinformation, the role of mainstream journalism as a "gatekeeper" becomes more crucial than ever. Credibility is the most valuable "tool" for journalism in 2026. An article signed by a reputable journalist, verified by a newsroom with a long history, will be worth a thousand times more than a soulless answer from a machine.
Technology may change the way we write, the way we send news, and the way we generate revenue, but technology can never replace the humanistic spirit and social responsibility of journalists.
In 2026, journalism may "shrink" in terms of mass traffic, but will "deepen" in its influence. The challenges posed by AI generation or Answer Engines are not the end of journalism, but a necessary cleansing. It eliminates junk content and superficially copied news, forcing genuine writers to return to their true selves: going to the scene, seeing with their own eyes, feeling with their hearts, and writing with responsibility.
Journalism is not losing to AI; rather, it is evolving alongside AI to better serve the public in a constantly changing world. Celebrating June 21, 2026 – Vietnam's Journalism Day of intelligence, technology, and resilience.