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- Your Strategic Roadmap to AI-Native GTM
Your Strategic Roadmap to AI-Native GTM
Why 73% of Companies Are Stuck in AI Stage 1 (And Losing Market Share) - GTM Series #2
The Four-Stage Maturity Model - Your Strategic Roadmap to AI-Native GTM
We are proud to announce that this week’s newsletter is sponsored by ZoomInfo. They just launched their GTM Intelligence Platform. Now, real-time signals fuel every move.
In the previous newsletter, we established that AI-powered GTM transformation is no longer optional; it's a strategic imperative that separates market leaders from followers. Today, we reveal the roadmap that transforms this imperative into measurable competitive advantage: a four-stage maturity model that charts your organization's evolution from basic automation to AI-native dominance.
The sobering reality: 73% of companies remain trapped in Stage 1, creating individual productivity gains while their AI-native competitors build insurmountable market advantages.
Understanding where you are and, more importantly, how to advance, determines whether AI becomes your growth engine or your missed opportunity.
Stage 1: Task Automation - The Productivity Trap
Most organisations begin here: deploying AI tools to accelerate individual tasks like email writing, research, and basic analytics. These implementations deliver immediate gratification, sales reps save 3-10 hours per week, marketing teams generate content faster, and activity metrics improve across the board.
The trap is seductive. Organizations see busy teams using AI tools and mistake increased activity for strategic progress. But this is where the productivity paradox emerges: individual efficiency gains don't translate to revenue growth because the fundamental GTM approach remains unchanged.
You're optimising existing inefficiencies rather than reimagining what's possible.
Stage 2: Process Augmentation - Where ROI Becomes Visible
The breakthrough occurs when AI integrates into core systems like your CRM, enhancing entire processes rather than isolated tasks. This is where you capture the 26-50% win rate increases and 62% sales cycle reductions that early adopters report.
AI begins recommending next-best actions, scoring leads with precision, and identifying optimal engagement timing. Your conversion rates improve because AI analyses patterns humans miss. However, this stage remains constrained by its "human-in-the-loop" model; AI provides recommendations, but humans make all decisions. You're getting better at the existing game, but you're still playing by traditional rules.
Stage 3: System Orchestration - The Alignment Solution
Here's where transformation accelerates into true competitive advantage. Multiple AI agents collaborate across functions, executing complex GTM "plays" with minimal human intervention. Marketing AI identifies the perfect prospect moment, sales AI crafts personalised outreach, and customer success AI predicts expansion opportunities, all working in seamless coordination.
The breakthrough insight: this stage structurally solves the eternal challenge of sales and marketing alignment. AI agents don't have ego conflicts or territorial disputes. They optimise for shared business outcomes, executing coordinated campaigns that would be impossible with human-only teams.
Organisations reaching Stage 3 report systematic efficiency gains that compound over time. They're not just improving individual metrics; they're rewiring their entire revenue engine for superior performance.
Stage 4: The Autonomous GTM Engine - AI Becomes the Business
At the ultimate level, AI isn't just powering your business; it is your business. The system generates compounding intelligence where every customer interaction makes the entire engine smarter. These organisations would target achieving the 7x conversion rate increases and 8-12x ROI that create structural competitive moats (these are estimates at this point, when we extrapolate current results)
The AI doesn't just recommend actions; it executes strategies, adapts to market changes, and identifies opportunities that human teams would miss. Revenue growth decouples from operational costs as the system scales intelligence without proportional resource increases.
The Advancement Challenge
Each stage requires different investments and capabilities. Stages 1 and 2 focus on tool adoption and process integration, manageable with existing teams and budgets. Stages 3 and 4 demand foundational transformation: unified data architecture, AI-native workforce development, and cultural evolution toward autonomous systems.
The companies advancing fastest treat this as an integrated transformation program, not a series of tactical technology decisions. They're building toward autonomous futures while capturing value at each stage.

The Strategic Imperative
The gap between Stage 1 organizations and those reaching Stages 3 and 4 isn't closing; it's widening exponentially (companies just being built today could have a massive advantage). While most companies optimize individual productivity, leaders are building AI-native competitive advantages that become mathematically impossible to overcome with traditional approaches.
The organizations that commit to systematic advancement now will define their markets for the next decade. Those that remain comfortable with Stage 1 productivity gains will find themselves competing against companies with fundamentally superior economics.
Next week: We'll quantify exactly what this progression delivers, the ROI evolution that transforms AI investment from cost center to exponential growth engine, and why the financial case for bold action has never been stronger.
Dale Zwizinski, Editor of Revenue Creator, and Chief GTM Officer at Revenue Reimagined.
ZoomInfo Revenue Rebuild Case Study
At ZoomInfo, they faced the same GTM challenges as everyone else. Disconnected tools, stale data, and wasted time chasing the wrong leads. They rebuilt their revenue engine with their GTM Intelligence Platform. Now, real-time signals fuel every move.
• A buyer hits their pricing page? A rep is alerted.
• A competitor’s contract is expiring? Outreach is triggered.
No guesswork. Just coordinated plays that create real pipeline.
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GTM Hot Takes Episode #9: Is the MQL Dead?
For decades, the MQL was the golden metric, but is it now a bottleneck? Join our debate as we pit Marketing vs. Sales to expose the MQL as an outdated metric holding back revenue. You'll hear what to replace it with, how modern RevOps teams are building MQL-free frameworks, and how AI makes it irrelevant.
Where do you stand? This debate will reshape how you think about your funnel.
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Email Jared directly to get your hot job featured.
Creator DNA Drop
"Hot take: Your six-figure CRM is quietly dying from the inside. 💀”
A conversation in a RevOps Slack channel reveals the real problem: your CRM is full of duplicates and outdated contacts because people change jobs. The data is "trash" and your sales team hates it. 🗑️
Before you invest another dollar in tech, what should you really know? 🤔
The community answered with gold:
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Want to get your product in front of our 57k member GTM community?
Email Jared Robin directly for inquiries.
Big Bets
OpenAI secured $8.3 billion in a late-stage private funding round.
Clay raised $100 million in a Series C round.
Endex.ai, a startup bringing AI agents into Microsoft Excel emerged with a $14 million seed round.
Conversion, an AI-powered marketing automation startup, raised a $28 million Series A round.
Anaconda, a provider of open-source tools for data science and AI, raised over $150 million in a Series C round.
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