What's really happening inside your AI usage when you're building the most important professional asset of your career and you don't own any of it?
The common story is that AI memory is a nice feature. But the reality is that your accumulated context across platforms has become a fifth category of professional capital, and it lives on servers controlled by third parties with a direct financial interest in keeping it there.
In this episode, I share the inside scoop on why bring-your-own-context is the missing layer for 2026:
• Why 60% of workers use personal AI at work and the honing effect makes it sticky
• How four layers of context (domain encoding, workflow calibration, behavioral relationship, artifact history) make switching feel like losing a leg
• What market failure keeps platforms hostile and memory startups struggling
• Where the solution lives: extraction prompts, personal databases, and MCP exposure
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For playbooks and analysis: https://natesnewsletter.substack.com/p/the-ai-capital-youve-been-building?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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