CNA Transforms Newsroom Operations with AI Integration

Singaporean broadcaster CNA leverages artificial intelligence to enhance journalism and combat disinformation.

CNA, a global news broadcaster, has deeply integrated AI into its newsroom operations since 2019. Editor-in-Chief Walter Fernandez details how AI assists reporters, analyzes election campaigns, and serves public service journalism, emphasizing a cautious yet 'all in' approach.

Sarah Kline

By Sarah Kline

September 27, 2025

4 min read

CNA Transforms Newsroom Operations with AI Integration

Key Facts

  • CNA started experimenting with AI in 2019, before ChatGPT's widespread popularity.
  • Walter Fernandez, Editor-in-Chief, views AI as a foundational backbone technology for newsrooms.
  • CNA spent a year drafting AI guidelines and enforcing human-in-the-loop processes.
  • During Singapore's General Election, ChatGPT acted as a 'second brain' for reporters and analyzed social media campaigns.
  • ChatGPT uncovered hidden connections between suspicious social media accounts during the election coverage.

Why You Care

Ever wondered how newsrooms are battling the flood of information and misinformation in our digital age? What if artificial intelligence (AI) could be a ally in that fight? Singapore-based global news broadcaster CNA is showing us exactly how this is possible, fundamentally changing how its journalists work.

CNA is transforming its newsroom with AI. This isn’t just about efficiency; it’s about delivering more accurate and timely information to you. Your news consumption and trust in media could be directly impacted by these advancements.

What Actually Happened

CNA began experimenting with AI in 2019, long before ChatGPT became a household name, according to the announcement. Walter Fernandez, Editor-in-Chief of CNA, revealed their early vision. He saw AI as more than just assistive system for editors. Instead, he viewed it as a foundational backbone system for newsrooms.

Fernandez believes AI capabilities are growing exponentially. He predicts AI will reshape newsroom operations even more significantly than social media did two decades ago, as mentioned in the release. CNA adopted an “all in” strategy for AI. However, this early adoption was not reckless, the team revealed. They spent a year drafting AI guidelines and setting up cross-functional oversight. They also enforced human-in-the-loop processes. Specific rules prohibit cloned AI voices or AI-generated footage in news coverage, the company reports. Every AI project must solve real problems, avoiding “vanity projects,” as detailed in the blog post.

Why This Matters to You

CNA’s cautious yet aggressive approach to AI offers valuable lessons. It highlights how system can serve core missions, like public service journalism. This integration means you could be receiving news that is more thoroughly vetted and deeply analyzed. Imagine the impact on election coverage, for instance.

Key AI Applications at CNA:

  • Disinformation Work: AI is central to identifying and combating false narratives.
  • Data Analysis: It surfaces hidden stories within vast datasets.
  • Content Delivery: AI helps deliver content across multiple formats and languages.

For example, during Singapore’s recent General Election, CNA deployed ChatGPT extensively. It acted as a “second brain” for reporters, providing context from internally built GPTs with information. What’s more, OpenAI’s reasoning models analyzed election campaigns, specifically targeting manipulative social media efforts. This led to surprising discoveries. “Our North Star remains public service journalism, with AI as a tool to help us fulfill that mission,” said Walter Fernandez. How might this kind of AI-assisted journalism change your trust in news sources?

The Surprising Finding

Here’s the twist: During the General Election coverage, ChatGPT uncovered a significant anomaly that human reporters hadn’t anticipated. It discovered a link between two suspicious social media accounts. These accounts had changed their profile names during the campaign, the team revealed. CNA hadn’t specifically asked the AI to look for this, nor had they considered it. Yet, ChatGPT surfaced this hidden connection in real time. This capability goes beyond simple data processing.

It challenges the common assumption that AI is merely a tool for automation. Instead, it demonstrates AI’s potential for reasoning and discovery. This shows AI can identify complex patterns and anomalies that might elude human observation. It highlights AI’s role in proactive investigative journalism.

What Happens Next

CNA’s experience suggests a future where AI becomes an indispensable partner in journalism. We can expect more news organizations to follow suit within the next 12-24 months. They will likely integrate AI for tasks like data analysis and disinformation detection. Imagine AI assisting in local news reporting, helping uncover community issues faster. This could mean more comprehensive and accurate local news for your community.

For readers, this means a potential increase in the quality and depth of news reporting. Look for news outlets that transparently share their AI integration strategies. As Walter Fernandez notes, the ability of AI “to do things in the newsroom we simply couldn’t do before” is exciting. This ongoing evolution will likely lead to more informed citizens. It also provides actionable advice for newsrooms: start experimenting with AI now, but do so with clear guidelines and a human-centric approach.

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