I'm putting Sahil A. of Von on the hot seat tomorrow at our webinar with Von -> 5 AI Myths That Are Holding Your Revenue Team Back What was true about AI and revenue teams in 2025 is already outdated in 2026, and the gap is only widening. Sahil has evolved Rattle into Von to meet this new era. He put his own company through the gauntlet of initially launching pre-AI and evolving it to build the ultimate solution for today. He's got a killer presentation, then I'm putting him on the hot seat and asking him for the honest answers to what's truly on my mind with AI in GTM. Sign up- https://www.revgenius.com/events/5-ai-myths-that-are-holding-your-revenue-team-back 🧵 @channel - what questions would you ask a CEO of a company building to help you with your AI GTM Strategy? (maybe I'll include some)
Totally agree and from what I’ve seen and read so far, that’s actually where the risk starts to show up. AI doesn’t seem to reduce revenue performance immediately. It tends to create the appearance of progress first. Activity goes up, outputs look cleaner, dashboards improve but the underlying signal quality can start to weaken. So it’s less about AI directly hurting revenue and more about it masking early indicators of decline. By the time it shows up in core KPIs, you’re already reacting late. So this makes me want to know how are teams distinguishing between AI that’s actually improving outcomes vs AI that’s just making activity look better?
