Trust is the missing piece
There's a gap in how we're talking about AI right now. Most of the conversation sits at two poles: the doomers say we're building our own extinction, and the accelerationists say the future is abundance if we just move faster. Both are missig something essential. Neither side is addressing TRUST. Not trust as a marketing word. Trust as an actual framework — a structured standard for what intelligent systems, biological or artificial, must embody to be worthy of trust. Without that foundation, every conversation about AI governance, safety, or adoption is built on sand. We're asking enterprises, regulators, and individauls to commit to a future they have no structural reason to trust. I've spent years in cybersecurity watching this pattern play out with other technologies. Trust is expensive. And, it's not assumed — it's demonstrated, measured, and verified. AI is no different. After years in cybersecurity, I'm architecting a movement to ensure we can trust our future before we dare build it. More to share soon. If this resonates, I'd like to hear your thinking.