In the Age of AI: The Paradigm Shift to Algorithmic Trust Once AI generates ideas and proofs at massive scale, verification and evaluation become the new bottleneck. Science must now adapt to a new infrastructure stack - formal verification tools, smarter filtering systems, large-scale collaboration platforms, and beyond. The real solution isn't just better tools. It's a fundamental shift in human cognition itself. When the underlying principles of trust change, verification and evaluation cease to be bottlenecks. Humanity's dominant worldview is about to leap from the Scientific Paradigm to the Algorithmic Paradigm. This mirrors the earlier leap centuries ago from the Religious Paradigm to the Scientific one - and, going further back, from Animism to Religion two millennia ago. These major cognitive leaps are, at their core, trust paradigm upgrades. In any new cognitive paradigm, the new trust framework is accepted by default. It no longer requires re-evaluation through the lens of the old system. Under the Algorithmic Trust Paradigm, the rigorous evaluation standards of the Scientific Paradigm become secondary - largely ignorable. Cryptography, while hitting diminishing returns in its Crypto 1.0 era, was actually the original on-ramp to Algorithmic Trust. It is now poised to unlock Crypto 2.0. AI serves as a powerful reinforcement layer in this same dimension. The coming Crypto 2.0 era will be defined by the symbiotic flourishing of cryptography and AI - a completely new age of Algorithmic Trust. It will be fundamentally different from today's Scientific Paradigm.