AI×GTMHello Operator

How GTM teams are using Claude Code (and Cowork)

Wednesday, April 22, 2026Read original

ai-coding-toolsautomation-stacksai-writing-workflows

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Key takeaways

Why this matters for operators: Potentially relevant for GTM AI tool adoption patterns, but needs full content

I cover AI×GTM intelligence like this every Wednesday.

Enterprise AIStratechery

Google Cloud emphasizing unified architecture with real production use cases, not just pilots
Google allocating 50% of capex to Google Cloud, running same stack internally as external customers
Shift from theoretical AI applications to agents running at scale, with security as key differentiator

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Enterprise AIRevenue Operations Alliance

AI investment scrutiny has shifted from 'what can it do' to 'prove the ROI' - CFOs now demand direct correlation between AI spend and measurable productivity/revenue impact
The MIT '95% of AI pilots fail' statistic is driving C-suite skepticism and causing companies to question entire AI strategies, though the stat may be misleading
Companies experienced rapid AI tool sprawl (2022-2026) - buying point solutions for every use case (call summaries, SDR avatars, email writing, enrichment) without strategic integration

ai-sdr-backlashrevenue-platform-consolidationback-to-basics-gtm

GTM OpsThe Signal (Brendan Short)

GTM Engineer role has reached critical mass with 54% adoption among fastest-growing B2B SaaS companies
Signal infrastructure and GTM engineering becoming competitive differentiator for high-growth companies
Newsletter targets GTM founders/operators (7,783 readers), indicating audience interest in operational excellence

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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.