# AI in GTM: Hype, Hope, and What Actually Works

Page: https://stenobird.com/podcast/thrivecast-6591286/ai-in-gtm-hype-hope-and-what-actually-works
Text version: https://stenobird.com/podcast/thrivecast-6591286/ai-in-gtm-hype-hope-and-what-actually-works.md
Podcast: [Thrivecast](https://stenobird.com/podcast/thrivecast-6591286)
Published: 2026-03-28T14:00:00+00:00
Episode link: https://www.hybridgtm.com/p/ai-in-gtm-hype-hope-and-what-actually
Audio file: https://api.substack.com/feed/podcast/190199964/fb3828bee175e5a2b227e4f52d0d2f21.mp3
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JSON: https://stenobird.com/v1/public/podcasts/thrivecast-6591286/episodes/ai-in-gtm-hype-hope-and-what-actually-works
Duration seconds: 3286

## Resource

In this episode of ThriveCast , we host a panel with Molly Bowden (GTM Operations Leader), Jonathan Carford (VP GTM Strategy at Momentum), and Gururaj (Founder of ThriveStack) to unpack how AI is actually changing go-to-market today cutting through the hype to explore real use cases, shifting buyer expectations, the importance of data foundations, and why most AI pilots fail without strong processes and strategy. Key Insights * Buyers now conduct AI-assisted research before ever speaking to sales. * Marketing website traffic is declining as AI search tools intercept discovery. * SaaS budgets are increasingly shifting toward AI-first tools and experimentation . * Many companies are automating broken processes instead of fixing them first. * AI delivers the most value when optimizing existing workflows , not replacing them. * Conversational intelligence is emerging as a powerful source of customer insight . * Sales ramp time can significantly improve through AI-driven coaching and role-play . * Poor data foundations remain the biggest barrier to successful AI adoption . * Many GTM teams are buying AI tools without strategy or clear ROI . * The future GTM stack requires unified data across marketing, product, sales, and customer success . Actionable Takeaways * Fix broken processes first before applying AI automation. * Invest early in clean, structured GTM data foundations . * Use conversational intelligence to capture real customer insights . * Apply AI to improve ramp time and productivity for GTM teams. * Avoid buying shiny AI tools without clear outcomes . * Build systems that unify marketing, product, revenue, and support signals . * Shift GTM strategy toward customer value creation instead of mass outreach. * Focus on improving the buyer experience , not just selle…

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## Transcript

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