Show Notes
Can AI help us find answers faster without replacing the human experience, context, and trust needed to solve technical problems? Recorded at NetApp INSIGHT 2026, host Matt Brown joins NetApp’s Drew Claybrook and Lex Rutledge to explore why people and communities remain essential in an AI-driven world. They discuss how experts turn information into practical guidance, from understanding a customer’s environment to checking whether an AI-generated answer is relevant. They also share what makes technical communities valuable: trusted relationships, shared experience, and the freedom to ask questions. In this episode, you’ll learn:
Why understanding the person and their environment leads to better guidance How experts help determine whether information is current and relevant Why checking the sources behind AI-generated answers matters How community leaders can make asking questions easier Where AI can support communities and help experts share their knowledge
As AI becomes part of how we work, how can we keep human experience and connection at the heart of solving problems? You are not alone. Let’s Solve IT!
Learn More IT case studies | NetApp
Connect with us! https://www.linkedin.com/in/cmattbrown Drew Claybrook | LinkedIn Lex Rutledge | LinkedIn
----- Drew Claybrook and Lex Rutledge on why human expertise survives the AI era Episode overview In this episode of "Let's Solve IT!," recorded at NetApp Insight, host Matt Brown talks with Drew Claybrook, Technical Marketing Engineer at NetApp, and Lex Rutledge, A-Team Program Manager at NetApp, about whether AI's growing capabilities make human experts unnecessary. The episode opens with Matt Brown's framing question: "If AI has all the answers, do we still need the experts?" Drew Claybrook and Lex Rutledge answer no on both counts, arguing that AI depends on human-generated content to function and that trust, built through years of community participation, cannot be replicated by AI. Drew Claybrook draws on six and a half years managing NetApp's community to argue that AI systems need human experts to create the content AI learns from in the first place. Drew Claybrook also points to a NetApp community platform migration completed in July, where archived content from 2018 and earlier still surfaces in AI-generated answers, a sign that users follow reference links back to original expert sources rather than trusting AI summaries outright. Lex Rutledge draws on the NetApp A-Team, a subject matter expert program established in 2013, to argue that trust accumulated over time gives human experts a credibility AI cannot match, particularly for attendees who travel to NetApp Insight specifically for face-to-face answers. The conversation also covers why some technical professionals avoid brand-owned communities. Drew Claybrook explains that community members often fear admitting a knowledge gap in a space where an admin or colleague might recognize their name, driving them toward anonymous platforms like Reddit and Discord instead. Both guests close by affirming that human connection, highlighted by lessons from the COVID-19 pandemic, remains necessary even as AI use grows across daily life. Key takeaways The following points capture the practical arguments Drew Claybrook and Lex Rutledge made about AI, trust, and community management.
AI systems require human-generated content as training material, meaning human experts remain foundational to AI's functioning, not optional to it.
Face-to-face interaction at events like NetApp Insight gives attendees answers to complex questions that AI cannot provide, according to Lex Rutledge.
Human tone and implied context, available in person or on a call, often get lost in text-based community platforms like forums, Reddit, or Discord.
Trust built over years of community participation cannot currently be replicated or replaced by AI, per Lex Rutledge.
AI systems can surface outdated informat
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