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The Consumer Products Leader's Guide to Competitive Advantage
McKinsey projects AI could unlock $400-660 billion annually in CPG. Yet 80% of AI initiatives fail to deliver expected results. This book reveals what separates the winners with case studies from Amazon, Walmart, Nestle, P&G, L'Oreal, Coca-Cola, and the companies actually capturing value.
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You've seen the headlines. Coca-Cola's $1.1 billion Microsoft partnership. Nestle's 100,000 employees using AI daily. Estee Lauder's 240 custom GPTs cutting time-to-market by 90%.
Yet here's what's actually happening inside most organizations:
Pilot projects that never scale beyond the proof-of-concept
Millions spent on tools that employees don't adopt
AI initiatives that fail the "hedgehog test" - they don't amplify what makes you distinctive
Technical teams and business leaders talking past each other
The gnawing sense that competitors are pulling ahead while you're still figuring it out
The hard truth: Companies in the top quartile of AI adoption are delivering total shareholder returns 3.6x higher than those in the bottom quartile. That gap compounds every quarter.
17 chapters. 5 parts. Everything consumer products leaders need to win with AI.
Chapters 1-4
Why 89% of companies have deployed AI but 80% report failed initiatives. The strategic test every AI investment must pass, and how Amazon, Stitch Fix, and P&G build compounding advantages.
Chapters 5-7
Microsoft Copilot vs. ChatGPT Enterprise vs. Google Gemini. The "vibe coding" revolution with 41% of global code now AI-generated. Walmart's "super agents" and the shift from AI assistants to AI that acts.
Chapters 8-11
Detailed case studies of how industry leaders are deploying AI with specific tools, organizational structures, and measurable results.
Chapters 12-13
The chatbot disasters, scaling failures, workforce cuts that backfired. Why responsible AI deployment isn't just ethical, it's strategic.
Chapters 14-17
Data foundations, talent capabilities, governance frameworks, and a structured approach to launching AI transformation with clear milestones and deliverables.

About the Author
Founder, Texin.ai
Gunnar builds AI products for a living. As founder of Texin.ai, an AI venture lab and consultancy based in Austin, he leads a team that develops AI SaaS products in-house and transforms operations for clients across industries.
Unlike consultants who only advise, Texin.ai ships production AI systems daily, facing the bugs, scaling challenges, and real-world edge cases that theory never covers. This book distills lessons from building AI products and helping senior leaders work through the complexity of AI adoption.
Co-authored with Claude Code (Anthropic AI), combining human strategic insight with AI research capabilities.
30-day guarantee. If it doesn't deliver value, email for a full refund. No questions.
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Every chapter includes specific frameworks, metrics, and implementation guidance you can use immediately. The book includes detailed case studies with exact tools, timelines, and results from companies like Amazon, Walmart, Nestle, and P&G.
Absolutely. This is written for business leaders, not engineers. Technical concepts are explained in strategic terms without jargon.
Even better. The frameworks help you evaluate what's working, apply the "hedgehog test" to existing investments, and accelerate results using proven approaches from industry leaders.
We practice what we preach. The book was written using AI-assisted research and drafting, demonstrating how human strategic insight combines with AI capabilities. Every insight was validated and refined by human expertise.
Yes. For teams of 10+ or enterprise licensing, contact us at the Texin.ai contact form for custom pricing.
30-day, no-questions-asked refund. If it doesn't deliver value, you shouldn't pay for it.
The performance gap between AI leaders and laggards is compounding every quarter. Companies in the top quartile are delivering 3.6x higher shareholder returns and accelerating.
The frameworks in this book aren't theoretical. They're drawn from the companies actually winning with AI.
Your next board meeting. Your next strategic planning cycle. Your next competitive threat. Which playbook will you be running?
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