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Achim’s Razor
Weekly, on GTM effectiveness, AI adoption, and the evidence your CFO can actually check.
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Strategy
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Articles
Strategy
Your AI Productivity Scorecard Is Too Small
Time saved is too small an AI metric. B2B GTM leaders should measure the valuable work AI helps teams finally start, improve, and repeat.
May 26, 2026
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3 min read
Gerard Pietrykiewicz, HubSpot
Strategy
The Decision Layer: AI Won’t Fix Bad GTM Logic
AI amplifies your GTM logic, good or bad. Why effectiveness must come before efficiency, and how to build the decision layer your GTM team is missing.
May 21, 2026
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4 min read
Gartner, McKinsey
Execution
The Competitor Subsidy: You Trained Them. Now Someone Else Wins.
AI layoffs often destroy the context your AI needs to work. Here's why cutting the wrong people makes your competitors stronger, not you leaner.
May 13, 2026
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5 min read
Forrester, Gerard Pietrykiewicz
Insight
Start With the Decision, Not the Data
Most GTM leaders start with the data. The right order is decision first, then process, then data. PocketOS shows the cost of getting it backwards.
May 7, 2026
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5 min read
ChatGPT, Proof Causal Advisory, dashboard
Strategy
Getting Started with AI Is Easy. Making It Matter Is Hard.
Only 6% of companies get real value from AI. The rest push tools without guardrails or trust. What the PocketOS failure and 2026 data reveal.
April 29, 2026
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6 min read
Gerard Pietrykiewicz, McKinsey
Insight
GTM Math Is Grading a Market That No Longer Exists
Most GTM teams judge today's market with yesterday's math. Why correlation breaks, where the missing 70-80% lives, and what to tell the board.
April 22, 2026
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4 min read
Proof Causal Advisory
Strategy
Questions Boards Should Ask GTM Teams
Most boards are still asking yesterday's questions. Mark Stouse on CAC debt, time lag, fiduciary risk, and the five questions every board needs to ask now.
April 8, 2026
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4 min read
Delaware Chancery Court, Proof Causal Advisory
Strategy
Why You Shouldn’t Trust a Forecast That Starts With the Past
Most B2B forecasts fail upstream. Mark Stouse explains why weak models, time lag, and bad assumptions break GTM planning and revenue trust.
March 24, 2026
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3 min read
Proof Causal Advisory
Strategy
How Not to Hire with AI and Fix Broken Recruiting Processes
AI-written JDs attract AI-written CVs. Here’s how overloaded teams create hiring noise and how to use AI to cut admin without handing off judgment.
March 17, 2026
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3 min read
Gerard Pietrykiewicz
Insight
The Causal Bridge: A Common Language for Your CEO, CFO, and GTM Team
GTM is failing because CEOs, CFOs, and GTM teams work from different models of reality. Here's what the bridge looks like and why attribution was never the answer.
March 11, 2026
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5 min read
Gartner, Jon Miller, Proof Causal Advisory
Insight
More Output, Less Thinking. That’s the Real AI Problem.
71% of B2B firms use AI mainly to produce content. Most aren't thinking better. They're just moving faster in the wrong direction.
March 3, 2026
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4 min read
Gerard Pietrykiewicz
Insight
Your Stack Is Not the Fix. Your Model Is.
Your martech stack does exactly what you told it to do. If GTM results are sliding, the problem isn't the tools. It's the model underneath them. Here's what to fix.
February 24, 2026
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4 min read
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