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How AI is changing go-to-market (GTM) and revenue operations workflows for sales and marketing teams

Latest Drop: May 30, 2026, 6:30 AM EST

New data drops are published daily around: 6:30 AM EST

Data Drop

The available signals point toward GTM moving away from fragmented point tools and drafting assistants and toward unified, agentic operating systems that automate execution and govern core workflows.
Discussion increasingly centers around RevOps as an AI-native control layer, not just a reporting function or campaign support team.
Early evidence points to a broader move from AI as a reporting or productivity aid to AI as a live execution layer across sales and GTM operations.
The signals suggest GTM and revenue operations are being rebuilt around AI-native, agent-friendly, real-time systems.
A recurring pattern is emerging around AI and enrichment being used as a real-time decision layer for lead qualification, routing, and sales actionability.
Attention appears to be shifting from campaign support toward marketing operations as a cross-functional growth system design layer.

Live research

Terminal Overview

Terminal Owner
Gong
Terminal Status:
Live

26 Days of continuous research

491Signals Analyzed
50Analyses Published
21Active Clusters
Signal Types
Structural227
Narrative128
Constraint67
Capability56
Economic11
Anomaly2

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The research, analysis, and interpretations published in this terminal are the original work of Gong. You may freely reference, quote, share, and republish this content, provided that Gong is clearly credited as the original source.