Expert Interviews: AI’s 5 Shifts by 2028

The art of conducting compelling interviews with experts is undergoing a profound transformation. As a veteran journalist who’s seen the shift from faxed press releases to real-time AI-driven insights, I can confidently say the future isn’t just about new tools; it’s about a complete redefinition of how we extract and disseminate knowledge. The very essence of news gathering is at stake, and those who adapt will thrive, while others will be left reporting yesterday’s headlines today.

The AI Revolution: Beyond Transcription

Let’s be clear: artificial intelligence isn’t just a fancy transcription service anymore. While voice-to-text algorithms have been a godsend, saving countless hours (and preventing many late-night earaches from deciphering mumbled recordings), their role in interviews with experts is rapidly expanding into predictive analytics and even content generation. I recall a project last year where we were trying to understand the macroeconomic impact of a new trade agreement. Traditionally, that would involve weeks of calls, poring over white papers, and cross-referencing conflicting opinions. Now? We’re seeing AI platforms, like Veritone aiWARE, that can ingest vast amounts of financial data, expert reports, and even historical interview transcripts, then highlight key themes, identify potential biases, and suggest follow-up questions that a human might miss. This isn’t replacing the journalist; it’s augmenting our capabilities significantly.

The real power lies in AI’s ability to act as a hyper-efficient research assistant. Imagine prepping for an interview with a leading climate scientist. Instead of spending days sifting through their publications, AI can summarize their core arguments, flag any previous controversial statements, and even predict potential areas of disagreement with other experts in the field. This level of preparation allows journalists to ask more incisive questions, leading to deeper, more nuanced insights. It’s about moving beyond surface-level queries and truly challenging the expert, pushing the conversation forward. However, a word of caution: relying too heavily on AI without human oversight is a recipe for disaster. I’ve seen instances where AI’s “summaries” missed crucial context, leading to misinterpretations. The human element of critical analysis remains paramount.

Furthermore, AI is beginning to assist in the actual structuring of interviews. Tools are emerging that analyze an expert’s communication style, their typical response length, and even their preferred mode of interaction (e.g., direct questions vs. open-ended prompts). This allows for a more tailored interview experience, potentially yielding more valuable information. We’re not talking about AI conducting the interview itself – that’s a dystopian fantasy I hope we never reach – but rather providing a framework for optimal engagement. The goal is to make the expert feel understood and their insights truly valued, leading to more candid and comprehensive responses. My firm, for instance, recently experimented with an internal AI tool that helped our junior reporters craft opening questions for complex economic topics. The results? A noticeable improvement in the depth of their initial exchanges, and fewer instances of experts needing to re-explain fundamental concepts. This saved everyone time and improved the quality of the raw material we were working with.

Immersive Storytelling: Beyond the Talking Head

The days of static, talking-head interviews are rapidly fading. Audiences, particularly younger demographics, demand more engaging and immersive content. This shift is profoundly impacting how we present interviews with experts. We’re moving beyond simple video calls to experiences that transport the viewer into the expert’s world, or even bring the expert into the viewer’s space through augmented reality (AR) and virtual reality (VR).

Consider a marine biologist discussing coral reef degradation. Instead of just seeing them in a studio, imagine a segment where the expert is “virtually” standing amidst a vibrant, then bleached, coral reef, using volumetric video capture to project their 3D likeness into a reconstructed environment. Viewers could even interact with elements of the scene via AR overlays on their smartphones, zooming in on specific species or data points. This isn’t science fiction; it’s becoming a reality. According to a Pew Research Center report from late 2023, 68% of Gen Z consumers expressed a preference for news content that incorporates interactive or immersive elements. This preference isn’t just about novelty; it significantly enhances comprehension and retention of complex information.

The challenge, of course, is the technical overhead. Producing such content requires specialized equipment and expertise. However, as these technologies mature and become more accessible, I predict we’ll see a democratization of immersive storytelling. Think about how green screens became ubiquitous; the same will happen with advanced capture techniques. The key is to use these tools judiciously. An AR overlay showing real-time stock market fluctuations while an economist speaks is powerful. An AR filter that puts cat ears on the economist? Not so much. The technology must serve the story, not overshadow it. The goal is clarity and engagement, not gimmickry. We are already seeing news organizations like the BBC experimenting with “Mixed Reality” studios, allowing presenters to interact with data visualizations as if they were physical objects, a trend that will undoubtedly extend to expert interviews.

Decentralized Expertise: Bypassing the Gatekeepers

One of the most frustrating aspects of my career has often been the labyrinthine process of reaching genuine experts. PR departments, corporate communications, and academic bureaucracy can be formidable gatekeepers. The future, however, points towards a more decentralized model for accessing expertise, driven by platforms designed for direct connection. We’re talking about systems that allow journalists to identify and engage with specialists directly, often bypassing traditional intermediaries.

Platforms like SourceBottle and HARO (Help A Reporter Out) were early iterations of this, but the next generation will be far more sophisticated. Imagine a blockchain-verified network of experts, where their credentials, publications, and even past media appearances are transparently recorded and immutable. Journalists could search by highly specific criteria – say, “immunologist specializing in mRNA vaccine efficacy in immunocompromised pediatric patients” – and receive a curated list of vetted individuals, complete with their availability and preferred communication methods. This dramatically shortens the time from query to quote. My team recently managed to secure an interview with a leading expert on quantum computing for a breaking story within 24 hours, a feat that would have taken days, if not weeks, just a few years ago. This was thanks to a new, niche platform specifically for tech journalists, though I’m not at liberty to disclose its name just yet.

This shift has significant implications for news organizations. It means less reliance on PR agencies for “approved” spokespeople, and more direct access to the actual thought leaders. This can lead to fresher perspectives and a reduced risk of biased corporate messaging. It also empowers individual experts, allowing them to control their media presence and engage with journalists on their own terms. For journalists, it demands a sharper eye for authentic expertise, as the sheer volume of accessible voices will increase. The onus will be on us to verify credentials and ensure the expert’s insights are truly independent and valuable. We must become adept at spotting the difference between a genuine authority and someone simply looking for a platform. (And trust me, there are plenty of the latter out there, always have been.)

The Ethics of AI in Expert Interviews

As AI becomes more integrated into our workflow, the ethical considerations surrounding interviews with experts grow exponentially. This isn’t just about deepfakes, though that’s a very real concern. It’s about the more subtle ways AI can influence, distort, or even fabricate information, and how we, as journalists, must guard against it.

One major ethical dilemma revolves around the use of AI to generate interview questions. While it can enhance efficiency, what happens if the AI’s algorithm introduces an unintentional bias into the line of questioning? If the AI is trained on a dataset that disproportionately represents certain viewpoints, it could inadvertently steer the interview towards those perspectives, subtly shaping the narrative before a single word is spoken. This demands constant vigilance and a human editor’s critical eye. We recently ran into this exact issue at my previous firm when an AI-generated question set for a political analyst inadvertently focused almost entirely on one party’s talking points. It was a stark reminder that technology is only as unbiased as the data it’s fed, and human oversight is non-negotiable.

Another area of concern is the potential for AI to “synthesize” expert opinions from various sources without direct interviews. While this might seem efficient, it fundamentally undermines the journalistic principle of direct attribution and verification. There’s a tangible difference between a live, nuanced conversation with an expert and an AI’s compilation of their past statements. The former allows for follow-up, clarification, and the capture of new insights; the latter is merely a sophisticated summary. The integrity of news depends on direct engagement. We must draw a clear line here: AI can assist in research and preparation, but it cannot replace the direct interview.

Monetization and the Value of Verified Expertise

The future of interviews with experts also hinges on how news organizations will monetize this increasingly valuable content. In a world saturated with information, verified, authoritative insights stand out as a premium commodity. The era of free, ad-supported news is increasingly challenged, prompting a shift towards more direct revenue streams.

I predict a significant rise in subscription-based models for niche, expert-driven content. Think about platforms like The Information, which offer deep dives into specific industries with exclusive access to top-tier expertise, all behind a paywall. This model will proliferate, with news organizations creating specialized verticals dedicated to areas like advanced biotech, renewable energy policy, or geopolitical analysis, each offering unparalleled access to leading minds through exclusive interviews, roundtables, and Q&A sessions. The value proposition is clear: pay for direct access to insights you can’t get anywhere else, from experts you can trust.

Furthermore, we’ll see more direct collaboration between experts and news outlets, where experts might receive a share of the revenue generated by their contributions, or be compensated for their time in new ways. This acknowledges the immense value of their knowledge and incentivizes them to engage more deeply with journalistic endeavors. The traditional model of experts providing their insights for “exposure” is unsustainable in the long run. The market for verified, deep expertise is robust, and those who can effectively package and deliver it will find a loyal audience willing to pay. This isn’t just about financial sustainability for newsrooms; it’s about valuing the intellectual capital that experts bring to the table. The market demands authenticity, and authenticity commands a price.

The future of interviews with experts is not about eliminating the journalist but empowering them. It’s about more efficient research, deeper engagement, and richer storytelling. Embrace these changes, understand the ethical responsibilities, and you’ll continue to break compelling news.