Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center.

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IN THIS EPISODE
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DAVID HOARE — Group VP, Digital Content & Design, ServiceNow
ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow
DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━
CHAPTERS
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0:00 Introduction & Guest Intros
1:13 David: The AI Philosophy — ChatGPT as genuine inflection point
3:02 David: Economic viability — why AI unlocks what was never possible before
3:12 Anand: Three-person startups scaling to $100M+
3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower
6:29 Anand: The customer north star hasn't changed
7:10 David: Engineering's survival problem — the 100x production gap
8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong
9:40 Dantley: Nine concepts in an hour — design velocity and discernment
12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process
14:20 David: Content governance — the fox guarding the hen house
16:21 Anand: Trust and the human-AI system
17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt
20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━
KEY TAKEAWAYS
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• Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive
• The cost of building has dropped. The cost of building the wrong thing has climbed exponentially
• Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker
• AI quality is only as good as the content signals it receives — governance is not optional
• The customer north star hasn't changed. AI just changes how fast you can move toward it
• Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━
ABOUT THIS PODCAST
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Subscribe for new episodes on AI, product, engineering, and the future of work.

#ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValue

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Can't believe it's already been 6 years. Thank you to our amazing guests and specially our listeners. In this season finale episode, Juan and Tim rant about the honest no-bs discussions they've had in 2026 and what are the topics they are looking forward to cover in the next season.

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What does it actually mean to be AI native? Not the buzzword — the real thing. Host Bobby Brill brings together seven ServiceNow experts across six conversations for a complete picture of what AI native thinking, building, and working looks like right now.

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WHAT WE COVER
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DI LE — AI Ethicist & Human-Centered AI Strategist, ServiceNow
The clearest definitions you'll find anywhere of responsible AI, ethical AI, and human-centered AI — and why all three are required if you're going to do this right. Plus: why AI native means AI as the operating system, not a feature.

DR. ALAINA BEAVER — Global Head of Accessibility Customer Engagement, ServiceNow
ServiceNow built the world's first AI model accessibility checker with the Global Accessibility Awareness Day Foundation — and open-sourced it on GitHub for free. Because responsible AI native behavior means holding AI itself accountable.

ANAND THARANATHAN — Research Leader, ServiceNow
A framework from cognitive science every AI builder needs: use, disuse, misuse, and abuse. The four modes of AI interaction — and why proper use is the only one that delivers.

TARA BOGAVELLI & KATRINA STANKIEWICZ — Voice AI Research Team, ServiceNow
How ServiceNow built a rigorous open-source evaluation framework for voice agents from scratch — and what cascade failures, transcription errors, and prosody failures actually sound like in practice.

IAN THURLOW & ANDREW YAN — Software Engineering Manager & Software Engineer, ServiceNow
The daily ground-floor reality of being AI native: AI as accelerator, AI as the new Stack Overflow, the calculator analogy, and why fundamentals matter more than ever.

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LEARN MORE
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ServiceNow Responsible AI: https://www.servicenow.com/responsible-ai
AI Model Accessibility Checker: https://www.servicenow.com/accessibility-statement.html
ServiceNow AI: https://www.servicenow.com/artificial-intelligence

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ABOUT THIS PODCAST
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Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.

#AINative #ServiceNow #ResponsibleAI #HumanCenteredAI #AIEthics #EnterpriseAI #FutureOfWork #NowAssist #ArtificialIntelligence #Podcast

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