The 77% Revenue Gap (And Why You Should Only Half-Believe It)
The one thing you need to know in AI today | AI-Ready CMO
Two weeks ago, we said productivity was becoming a dead metric for AI in sales. Gong Labs has put a dollar sign on that argument. Their State of Revenue AI 2026 (pdf) report — based on 7.1 million actual sales opportunities — found that sellers who frequently use AI generate 77% more revenue per rep. That’s roughly $894K versus $504K for non-users.
Now, let’s be honest about what this number actually is.
This is Gong analyzing deals worked inside Gong: reps who use the platform heavily outperform reps who don’t.
Duh.
It’s a bit like Peloton publishing research showing that people who ride their bikes are fitter. Probably true — but the sample is doing some heavy lifting and the direction matches what more and more people in the industry are saying. Salesforce found something similar with a completely different dataset and methodology, and it rhymes with what the great folks at Hupo told me today: the conversation has moved from “AI saves time” to “AI helps companies make money.”
Big difference.
Buried in the same report: 69% of revenue leaders now trust AI-generated insights, and 7 in 10 use AI to inform strategic decisions — not small stuff, but actual calls on forecasting and resource allocation. This is the data point most people will skip over, and it’s the one that matters. You can’t measure AI’s impact on revenue if you don’t trust it enough to let it influence revenue decisions. The measurement didn’t shift because leaders got smarter about KPIs. It shifted because trust hit critical mass.
Sales crossed that trust threshold. Marketing mostly hasn’t. Most CMOs are still measuring AI by content pieces produced or hours saved on briefs. That’s the productivity phase — the one sales leaders are leaving behind.
The gap isn’t technology; every marketing team has access to the same tools. The gap is trust. Sales leaders are letting AI inform pipeline calls and forecast decisions — stuff with real consequences. Marketing leaders are mostly using it for drafts that get rewritten anyway. Until that changes, marketing will keep reporting how many blog posts AI helped produce while sales reports how much revenue it helped close.
Again, big difference.
One more thing worth flagging: Gong makes a strong case that domain-specific AI outperforms generic tools — 13% higher growth, 85% higher commercial impact. That finding also happens to be Gong’s entire sales pitch, so, grain of salt. But the underlying point holds well beyond sales: AI trained on your actual workflows will outperform a general-purpose chatbot every time. Giving everyone a ChatGPT license was never a strategy. It was a starting point.
— Torsten and Peter
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