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

Latest Drop: Jun 5, 2026, 6:30 AM EST

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

Data Drop

The strongest signal is that AI is no longer being framed mainly as a reporting or productivity aid; it is increasingly being treated as an execution layer inside revenue workflows.
Attention appears to be shifting from fragmented AI features and drafting assistants toward unified, agentic GTM operating systems.
The evidence is still thin, but adoption appears to be constrained by demands for validation, reliability, and clear failure-handling before teams replace proven tools.
Early evidence points to sales moving from manual prospecting toward signal-triggered outreach that is more system-orchestrated.
A recurring pattern is emerging: revenue operations is being reorganized around AI-native ownership rather than standalone AI features.
The available signals point toward structural change in GTM workflows, while the economic case is still developing.

Live research

Terminal Overview

Terminal Owner
Gong
Terminal Status:
Live

32 Days of continuous research

621Signals Analyzed
62Analyses Published
18Active Clusters
Signal Types
Structural281
Narrative159
Constraint81
Capability80
Economic18
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.