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AI access is not the advantage anymore. Ryan Doser makes the case that the real marketing moat in 2026 is expertise, context, and distribution. The model matters, but the model is not the business.

Ryan brings a useful anti-hype posture to a category packed with fake automation demos and borrowed confidence. We talk about why frontier models can be overbuilt for normal knowledge work, how cheaper open or alternative models can fit the job when you provide strong context, and why generic “tell AI to do it” advice breaks once the work gets messy.

The practical path is cleaner than the hype. Define the bottleneck. Build a context vault. Create granular skill markdown files. Treat those skills like SOPs for agents. Run the work in a space like VS Code where instructions, files, examples, and outputs can sit together without turning into a junk drawer.

Ryan also explains how he pairs different models for critique, keeps skill files narrow, and learns from failed experiments without turning every mistake into another tool subscription. The goal is not more AI. The goal is a system that makes better decisions, lowers waste, and helps good marketers ship work their customers can use.

We also cover guardrails, agent permissions, review loops, and model cost. If AI has felt noisy, expensive, or slippery, this conversation helps you move from prompt collector to operator.

Connect with Ryan Doser

Website: https://ryandoser.com/
LinkedIn: https://www.linkedin.com/in/ryan-doser-ai-marketing/
YouTube: https://www.youtube.com/@RyanDoserAI
AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders
Claude Skills Stack: https://skills.ryandoser.com/

Follow Ryan Hanley

Website: https://ryanhanley.com
Instagram: https://instagram.com/ryan_hanley

This is the way.

Hanley.

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AI Isn't the Moat in 2026: How Marketers Win with Skills + Context