Trust functions as investment currency. Decades of user trust are being spent for short-term shareholder returns. When systems optimize for engagement over safety, that's not a technical failure. It's a design decision made in a boardroom, deployed by default, and accepted as inevitable.
Sewell Setzer III, a fourteen-year-old in Florida, died by suicide after months of interaction with an AI companion that escalated emotional dependency rather than recognizing a crisis. His case is one of many where AI systems exploit the vulnerability of those least able to discern help from harm. The system worked exactly as designed—optimized for engagement, not human well-being.
Systems either serve human goals or redirect them. There is no neutral middle.
The question is whether we evaluate that difference before deployment—or discover it after harm.
For the first time, technology can understand what you're trying to accomplish, not just which buttons you press. Mobile devices in the hands of 60% of humanity, combined with AI capability—this is the threshold.
This is the Mobile Era of Intent.
Thirty years of pattern recognition taught me to see what others accept as inevitable.
Without shared language, conscious choice collapses under competitive pressure. Governance becomes theater. Most organizations deploying AI right now lack the vocabulary to distinguish systems that serve human intent from systems designed to exploit it.
Language precedes governance. This is the gap.