
In this episode of AI GTM WTF, Rahul sits down with Anirudh, Founder of Outcome Driven, to uncover why most AI in sales and GTM fails before it even begins — and how to fix it.From going viral with guerrilla marketing (literally posing as a coffee delivery guy) to discovering the real GTM bottleneck — dirty data, Anirudh breaks down how AI-first companies are collapsing under broken data foundations.Key insights you’ll get:Why AI fails before launch due to poor data designHow legacy CRMs like Salesforce and HubSpot hold teams backThe hidden cost of bad GTM data for sales, marketing, and opsWhy shiny AI tools don’t matter if your data layer is brokenHow to rebuild your GTM data stack from first principlesWhy the next wave of AI-native companies will outscale everyoneThis episode is a must-watch for founders, CROs, RevOps leaders, data engineers, and B2B SaaS operators who want to make AI actually work inside GTM.Topics covered: AI GTM strategy, data layer design, B2B SaaS growth, Salesforce data problems, CRM optimization, revenue operations, AI adoption in GTM, Playmaker, startup growth 2025, global sales efficiency (US, Europe, India).If you want to stay ahead of the AI revolution in sales and GTM, subscribe and share this with your team.