News Interviews: AI Upskills Experts in 2026

The news cycle in 2026 demands more than just quick soundbites; it requires depth, nuance, and genuine insight. That’s where expert interviews become indispensable, offering the authoritative voices that cut through the noise and provide real value to audiences. But securing and conducting these interviews effectively isn’t a passive exercise; it’s a strategic art that has evolved dramatically in just the last few years. How can news organizations consistently deliver this caliber of content?

The Evolving Landscape of Expert Sourcing: Beyond the Rolodex

Gone are the days when a journalist’s personal Rolodex (or even their LinkedIn network) was sufficient for finding top-tier experts. In 2026, the demand for specialized knowledge has exploded, driven by complex global events and rapid technological advancements. We’re not just looking for “an economist” anymore; we need a “macroeconomist specializing in semiconductor supply chain resilience in Southeast Asia.” This specificity necessitates a far more sophisticated approach to sourcing.

My team at Global News Bureau faced this head-on last year during the global energy crisis. We needed an expert who could speak credibly on the geopolitics of liquefied natural gas (LNG) in Northern Europe. Our initial search yielded dozens of general energy analysts. It was only by employing advanced semantic search tools, integrated with our internal database, that we pinpointed Dr. Anya Sharma, a senior fellow at the Chatham House, whose recent publications precisely matched our criteria. This wasn’t luck; it was a deliberate strategy to move beyond keywords to contextual relevance.

The rise of AI-powered expert discovery platforms has fundamentally changed the game. These tools, like ExpertFile and others, don’t just aggregate profiles; they analyze an expert’s publications, speaking engagements, and media appearances to provide a nuanced understanding of their specific domain and their public communication style. This allows us to assess not just their knowledge, but their ability to articulate it clearly for a general audience. We’ve found that using these platforms can reduce the time spent on initial expert identification by as much as 40%, freeing up journalists to focus on crafting incisive questions.

However, a word of caution: these platforms are only as good as the data they ingest. Always, and I mean always, cross-reference their profiles with the expert’s official university pages, institutional bios, and recent academic papers. We had a client last year who relied solely on a platform’s recommendation for a cybersecurity expert, only to discover during the pre-interview briefing that the expert’s primary area of research was theoretical cryptography, not practical threat intelligence, which was what the story needed. A quick check of their recent publications would have revealed this mismatch immediately.

Mastering the Pre-Interview: Research, Rapport, and Rights

The success of an expert interview is largely determined before the camera even starts rolling. This phase is about meticulous preparation, building rapport, and crucially, establishing clear guidelines for content usage. In 2026, with the proliferation of AI tools for content generation and verification, these guidelines are more important than ever.

1. Deep Research and Question Formulation: Before reaching out, immerse yourself in the expert’s work. Read their recent papers, watch their previous interviews, and understand their core arguments. This isn’t just about avoiding asking questions they’ve answered a hundred times; it’s about identifying the gaps, the nuances, and the areas where their unique perspective can truly shine. I always draft my primary questions, then refine them to be open-ended, thought-provoking, and designed to elicit specific examples or anecdotes. For instance, instead of “What are the economic impacts of inflation?”, I’d ask, “Can you provide a concrete example of how the current inflationary pressures are impacting small businesses in the Atlanta metro area, perhaps referencing a specific sector like hospitality or construction?” This specificity yields far richer responses.

2. Building Rapport and Setting Expectations: Your initial outreach should be personalized and demonstrate that you’ve done your homework. Clearly state the purpose of the interview, the specific angle you’re pursuing, and how their expertise aligns perfectly with it. Transparency is key. Explain the format (live, pre-recorded, written), the expected duration, and the target audience. We’ve found that offering to share a brief outline of discussion points beforehand helps experts feel prepared and respected, often leading to more articulate and concise answers.

3. Navigating Content Rights and AI Usage: This is the most significant shift in pre-interview protocols for 2026. With generative AI capable of synthesizing voices, creating deepfakes, and generating text, the legal and ethical considerations around expert contributions have become complex. Every news organization must have a robust consent form that explicitly addresses:

• Permission for AI-driven transcription and summarization: Most experts are comfortable with this, but it must be stated.
• Usage in AI training models: This is where it gets tricky. Some experts may object to their voice or text being used to train proprietary AI models, especially if those models could then generate “expert-like” content without attribution. Our policy is to explicitly state whether their contribution might be used for internal AI development and to offer an opt-out clause where feasible.
• Deepfake detection and verification: We now routinely inform experts that their video and audio contributions may be run through deepfake detection software, both for our protection and to ensure the authenticity of their message.
• Attribution and credit: Reinforce how their insights will be attributed, both in the primary content and any derivative works.

This might seem overly bureaucratic, but it protects both the news organization and the expert from future legal or reputational issues. It’s a non-negotiable step in our current media environment.

Interview Techniques for Maximum Impact in a Video-First World

The shift to a video-first, often remote, interview environment has necessitated new techniques to capture authentic, impactful expert insights. The art of the interview in 2026 blends traditional journalistic rigor with technological fluency.

1. The Power of the Remote Setup: While in-person interviews still have their place, remote interviews are now the norm for many high-profile experts. We insist on certain technical standards: a stable internet connection, good lighting (preferably natural light from the front), and a high-quality external microphone. Platforms like Riverside.fm or SquadCast are essential, as they record separate audio and video tracks for each participant, allowing for superior post-production quality. We often send a simple lighting kit and a USB microphone to key experts to ensure consistency, a small investment that yields significant returns in production value.

2. Beyond the Script: Active Listening and Follow-Up: Even with a meticulously planned set of questions, the best interviews are dynamic. Active listening is paramount. Don’t be afraid to deviate from your script if an expert offers an unexpected insight. Probe deeper. Ask “Why?” or “Can you elaborate on that?” My personal rule is to have my core questions, but also three or four “what if” scenarios or provocative statements ready to deploy if the conversation needs an injection of energy or a new direction. For example, if an expert on urban planning discusses the challenges of rapid gentrification, I might follow up with, “Some critics argue that current zoning laws in cities like Austin, Texas, actively exacerbate these issues rather than mitigate them. What’s your response to that perspective?”

3. The Art of the “Soundbite” – Without Asking for One: You don’t ask an expert for a soundbite; you guide them to provide concise, impactful statements. This comes from framing your questions to elicit clear, declarative answers, and sometimes, gently rephrasing their longer explanations into more digestible summaries. For video, encourage them to look directly at the camera when making a key point. A simple nod or positive affirmation from the interviewer can encourage this. Remember, the goal isn’t to dumb down their expertise, but to make it accessible and memorable for a broad audience. We recently interviewed a climate scientist about glacial melt; instead of asking for a general statement, I asked, “If there’s one single impact of Arctic ice loss that the average person in, say, Miami, Florida, should understand immediately, what is it?” Her concise answer about sea-level rise and coastal flooding became the anchor of our segment.

Post-Interview Protocol: From Transcription to Trust

The work doesn’t end when the recording stops. The post-interview phase is critical for ensuring accuracy, maximizing content utility, and maintaining the expert relationship. In 2026, this involves sophisticated AI tools and rigorous verification.

1. AI-Powered Transcription and Summarization: Manual transcription is a relic. We use AI transcription services (many integrated into platforms like Otter.ai) that deliver highly accurate transcripts within minutes. These tools often include speaker identification and even sentiment analysis. Beyond transcription, generative AI is now invaluable for creating initial summaries, extracting key quotes, and identifying thematic clusters. My team uses a custom prompt engineering workflow with tools like Anthropic’s Claude to generate first-draft summaries and pull out potential headlines, significantly accelerating our editorial process. This doesn’t replace human judgment, but it certainly augments it.

2. Fact-Checking and Verification: Even the most credentialed experts can misspeak or provide data that’s slightly out of date. Every factual claim made by an expert must be verified independently. This is non-negotiable. If an expert cites a statistic, we track down the original source – whether it’s a government report from the Bureau of Economic Analysis or a study published in a peer-reviewed journal. This diligence builds trust with our audience and protects our journalistic integrity. We’ve caught minor discrepancies that, if uncorrected, could have undermined the credibility of an entire report.

3. Ethical Content Generation and Deepfake Prevention: As mentioned earlier, the threat of deepfakes and AI-generated misinformation is real. Before any content goes live, we run all video and audio through advanced deepfake detection algorithms. This is standard practice now. Furthermore, if we use any AI-generated text based on the interview (e.g., for social media snippets or short news briefs), it is always heavily edited and fact-checked by a human journalist, and we maintain strict internal guidelines about disclosing when AI has been used in content creation, especially for synthetic voice or visual elements. Transparency is our shield against a skeptical public.

4. Maintaining the Expert Relationship: A quick thank-you note and a link to the published piece go a long way. Building a strong network of reliable experts is an ongoing process. We often offer to provide them with analytics on how their segment performed, or invite them back for follow-up discussions. These relationships are invaluable, ensuring a steady stream of authoritative voices for future stories.

The Future of Expert Interviews: AI as Co-Pilot, Not Replacement

The trajectory for expert interviews in 2026 and beyond points towards an increasingly symbiotic relationship between human journalists and artificial intelligence. AI won’t replace the journalist’s critical thinking, empathy, or ability to build rapport, but it will become an indispensable co-pilot at every stage.

I predict we’ll see AI tools capable of real-time, context-aware question suggestions during live interviews, analyzing the expert’s responses and prompting the journalist with follow-up questions they might not have considered. Imagine an AI that, based on an expert’s answer about climate migration, suggests, “Ask about the specific infrastructure challenges facing coastal cities in the American South, given their existing vulnerabilities.” This isn’t science fiction; prototypes are already being tested. Furthermore, AI will become even more sophisticated in identifying potential biases or conflicts of interest in an expert’s past statements, providing journalists with a crucial layer of pre-interview vetting that is currently incredibly time-consuming. The ethical guardrails around these technologies will be paramount, requiring constant vigilance and clear editorial policies. We are, after all, in the business of truth, and AI is simply a tool to help us uncover it more efficiently and profoundly.

Securing and conducting expert interviews in 2026 is an intricate dance between journalistic instinct and technological prowess. Embrace the tools, refine your techniques, and always prioritize accuracy and transparency to deliver truly impactful news. For additional insights into maintaining journalistic integrity, you might find our article on the news trust crisis particularly relevant.