Lockout: A Field Report on the Capture of Healing and the Coming Capture of Machines
Year: 2026
Type: report
Abstract: This field report traces the recurring S-curve capture dynamic that eliminates calibration-based technologies before they reach the populations they were designed to serve. The pattern is examined across three sectors: the capture of American medicine through the Flexner Report and Rockefeller-Carnegie funding consolidation (1873-1930), the binary computing fork driven by 1950s military procurement, and the present AI and robotics governance decision where the same consolidation is positioning around ungoverned autonomous systems. The report documents the structural lockout of therapeutic pluralism in healthcare, presents the Strannik case as evidence that calibration-based approaches achieve 76-96% therapeutic effectiveness against allopathy's approximately 50%, and identifies the identical economic mechanism now operating in the robotics industry — where internally governed machine architectures face elimination by the same funding-gated, regulation-captured dynamics that destroyed holistic medicine. The insurance industry's withdrawal of AI liability coverage in January 2026 is identified as the market signal confirming that ungoverned autonomous systems are uninsurable. The report concludes that the S-curve has not yet ramped, the architecture is not yet locked in, and the governance architecture for internally regulated autonomous machines — Conscious Reflective Machine Architecture — exists and must reach the curve before it is captured. Part of the Convergent Architecture research program addressing structural requirements for governed autonomous systems.
Author: Allen, Warner Rey
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7224858876