GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
Enterprise AIRevenue Operations Alliance
Why RevOps needs to stop counting hours and start architecting outcomes
ai-sdr-backlashrevenue-platform-consolidationback-to-basics-gtm
“The hype era of AI is over. We're now firmly in the reality phase, and our CFOs don't want to hear about magical transformation anymore. They want to know why every pilot, every seat, and every API call directly correlate to productivity and revenue impact.”
Key takeaways
- 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
Why this matters for operators: RevOps leaders facing AI ROI scrutiny, companies rationalizing AI tool sprawl, CFOs demanding measurable outcomes
I cover AI×GTM intelligence like this every Wednesday.
Get STEEPWORKS WeeklyMore picks
Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.