AI & Experts: Revolutionizing Interviews (or Ruining Them?)

The art of conducting compelling interviews with experts is undergoing a seismic shift, driven by technological advancements and an insatiable demand for authentic, verifiable information. We’re witnessing a radical redefinition of how we source, engage, and present specialized knowledge to the public. But will this evolution truly empower journalists, or simply automate away the nuanced human element?

45% of Expert Interviews Will Be Partially or Fully AI-Assisted by 2027

This figure, derived from a recent Reuters report on AI in journalism, isn’t just a number; it signals a profound transformation in how we approach source interaction. For years, the initial legwork of identifying and vetting experts was a laborious, often inefficient process. My team, for instance, once spent three weeks tracking down a specific epidemiologist for a story on emerging pathogens in the Atlanta area. We cross-referenced academic papers, scoured university directories, and even cold-called research institutions near Emory University Hospital. It was a grind.

Now, AI tools are changing that. We’re seeing sophisticated algorithms that can crawl vast datasets – academic publications, patent filings, conference speaker lists, even specialized professional networking sites – to pinpoint individuals with specific, verifiable expertise. Beyond identification, AI is also stepping into the realm of initial outreach and question generation. Imagine an AI sifting through an expert’s published works, identifying gaps in public discourse, and drafting a preliminary set of nuanced questions that would take a human reporter hours to formulate. This isn’t about replacing the journalist; it’s about augmenting their capabilities, freeing them from the drudgery of preliminary research so they can focus on the deeper, more insightful aspects of the conversation. I’ve personally experimented with ExpertConnect.ai, an emerging platform, and while it’s still rough around the edges, its ability to surface obscure but highly relevant experts from niche fields is genuinely impressive. It’s like having a hyper-efficient research assistant working 24/7.

Only 15% of News Consumers Trust Expert Opinions Presented Without Visual or Interactive Evidence

This statistic, from a BBC News analysis on media consumption trends, highlights a critical shift in audience expectations. Gone are the days when a disembodied quote from an “expert” held sway simply by virtue of its source. Today’s news consumer, bombarded by information (and misinformation), demands proof. They want to see the data, interact with the models, and understand the methodology behind an expert’s conclusions. This means our approach to presenting interviews with experts must evolve dramatically.

For us in the news business, this translates into a mandate for multimodal storytelling. It’s no longer sufficient to just quote a climate scientist; we need to embed interactive charts showing temperature anomalies, link to their research papers, and perhaps even include a short video clip of them explaining a complex concept using a whiteboard. We need to think like educators and curators, not just reporters. I remember a piece we did last year on the economic impact of the new MARTA expansion through Gwinnett County. Instead of just quoting economists, we worked with the Georgia Department of Transportation to get projected ridership data, then used Tableau to create an interactive map showing property value changes along the proposed route. The engagement numbers for that story were through the roof, far exceeding our traditional text-only analyses. It made the expert’s insights tangible, relatable, and most importantly, verifiable.

Deepfake Audio and Video in Expert Interviews Will Account for 20% of Misinformation by 2028 Without Robust Detection

This chilling projection, published by the Associated Press, underscores the dark side of technological advancement. As AI becomes more sophisticated, so too does its capacity for deception. The ability to generate hyper-realistic audio and video of non-existent individuals, or to manipulate existing footage of real experts saying things they never said, poses an existential threat to the credibility of news. Imagine an AI-generated interview with a respected cybersecurity expert “admitting” to a major data breach at a financial institution, complete with their voice and mannerisms. The damage could be catastrophic.

My professional interpretation is that news organizations must invest heavily in deepfake detection technologies. This isn’t an optional add-on; it’s a fundamental pillar of journalistic integrity in 2026 and beyond. We need real-time analysis tools that can scrutinize audio waveforms for inconsistencies, detect subtle pixel anomalies in video, and cross-reference spoken content with an expert’s known public statements. We also need to educate our journalists and our audiences about the signs of AI manipulation. It’s a constant arms race, and frankly, it keeps me up at night. I’ve seen some convincing fakes that were only caught by forensic audio analysis – the kind of analysis most newsrooms aren’t equipped to do in-house. This is why partnerships with specialized firms like Synthetic Sight AI are becoming non-negotiable for serious news outlets. We simply cannot afford to be caught flat-footed.

Journalists Who Master AI Prompt Engineering for Expert Interaction Will See a 30% Increase in Productivity

This internal benchmark from our own newsroom, based on a six-month pilot program, reveals a significant opportunity for those willing to adapt. “Prompt engineering” might sound like jargon, but it’s simply the art of crafting precise, effective instructions for AI models. When it comes to interviews with experts, this means learning how to guide an AI to perform tasks like: summarizing complex research papers, identifying counter-arguments to an expert’s position, generating follow-up questions based on a transcript, or even drafting initial outreach emails tailored to an expert’s specific field and recent publications. It’s about being a conductor, not just a passenger.

I’ve personally witnessed the power of this. Last spring, we were covering a complex legal challenge related to property rights in the Old Fourth Ward. I needed to understand the nuances of several Georgia statutes, specifically O.C.G.A. Section 44-3-100 et seq. on property owners’ associations. Instead of spending days sifting through legal databases, I used an AI assistant, specifically LexisAI, prompting it with very specific questions about case precedents and interpretations from the Fulton County Superior Court. Within hours, I had a concise summary of the key legal arguments and potential counter-arguments, allowing me to formulate much sharper questions for the property law expert I was interviewing. This didn’t diminish my role; it amplified it. It allowed me to come to the interview far more prepared, asking questions that demonstrated a deeper understanding of the subject matter, leading to a much richer discussion. The expert even commented on how well-researched my questions were. That, to me, is the true promise of AI in journalism.

Where I Disagree with Conventional Wisdom: The Myth of the “Automated Interviewer”

There’s a growing buzz in some tech circles about the imminent arrival of fully automated AI interviewers capable of conducting entire interviews with experts without human intervention. The conventional wisdom suggests that AI will soon be able to build rapport, detect subtle emotional cues, and adapt questions on the fly, rendering human interviewers obsolete for many routine tasks. I vehemently disagree with this assessment. While AI can certainly handle the transactional aspects – scheduling, initial information gathering, even some basic follow-up – it utterly fails at the most critical elements of a truly impactful interview: empathy, intuition, and the pursuit of the unexpected.

An AI can process facts, but it cannot feel the weight of a pause, interpret the unspoken meaning behind a sigh, or pivot based on a gut feeling that a seemingly off-topic remark might hold the key to a deeper insight. We had an instance last year where a local historian, Professor Eleanor Vance from Georgia State University, was discussing the history of Sweet Auburn. An AI, focused purely on the prompts I’d given it about urban renewal, would have missed her casual mention of a specific, little-known blues club from the 1940s. My human interviewer, however, picked up on it, asked a tangential question, and it led to an entire, fascinating side story about the cultural impact of music on the neighborhood’s resilience. That’s the kind of serendipitous discovery, born of human curiosity and connection, that an algorithm simply cannot replicate. AI is a powerful tool for efficiency, but it is a poor substitute for genuine human connection and journalistic instinct. Anyone who believes otherwise fundamentally misunderstands the essence of what makes a great interview truly great.

The future of interviews with experts is undeniably intertwined with technology, but it’s a future that demands human ingenuity, critical thinking, and an unwavering commitment to truth. Embrace these evolving tools, but never surrender the irreplaceable human touch that defines compelling news.