A recent Pew Research survey reveals a powerful signal: Across many countries, concern about AI outweighs excitement. In the U.S., 50% express more concern than optimism. Similar patterns appear across parts of Europe. The conversation around AI is shifting from capability to trust. Key drivers behind this sentiment: + Opaque training pipelines + Concentrated corporate control + Limited public participation + Centralized data ownership Trust grows when people can see how systems work and share in their upside. This is the direction @PerceptronNTWK is building toward. Their thesis focuses on infrastructure: a decentralized AI data network where contributors participate openly, earn directly, and strengthen the feedback loop between humans and models. The macro insight is clear: AI adoption is accelerating. Public trust requires stronger foundations. The next phase of AI will be shaped by transparency, governance, and shared ownership. Infrastructure defines outcomes. Trust is infrastructure.