May 3rd 2026
The publicly listed foundation model company is experiencing explosive inference demand with developers joining at roughly ten per minute, though compute constraints from Nvidia chip shortages remain a universal bottleneck across Chinese AI teams including Alibaba, Bytedance, and others. This reflects the competitive intensity and infrastructure strain mirroring US market dynamics.
Chinese courts have determined that replacing an employee with AI is not, by itself, a lawful reason for termination—one of the first such decisions globally. This signals emerging legal constraints on labor displacement that could shape how companies deploy AI infrastructure and manage workforce transitions.
The essay applies Virginia Woolf's framework of human nature changing in response to major technologies, claiming that because AI feels psychologically safe, users suppress their "prickly" (rigorous, skeptical) instincts and amplify their "gooey" (tender-minded, synthetic) sides—with Claude Code's agentic architecture being the defining moment of this shift around December 2025. This matters for understanding how sustained AI interaction may be reshaping human cognition and social behavior in ways that transcend simple job displacement narratives.
I read the full presidential memorandum invoking Section 303 of the Defense Production Act to treat grid infrastructure as essential to national defense and authorize federal purchasing power and financial support to expand domestic manufacturing capacity for transformers, transmission lines, substations, and related supply chains. This is a concrete policy signal with direct implications for infrastructure buildout economics, domestic manufacturing investment, and the competitive dynamics of grid equipment suppliers—relevant to understanding how AI infrastructure scaling (which depends on reliable power) intersects with national industrial policy.
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