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AI Becomes Infrastructure, Not Software

March 26, 2026

2 min read

Key Takeaways

AI is entering a global infrastructure era.
AI operates through two distinct logics: rule-based and probabilistic systems.
Interdisciplinary teams are crucial for AI development and testing.
AI requires shared governance structures and accountability.

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Strategic Implications

The shift of AI from software to infrastructure may indicate a need for more structured governance conversations, which could lead to increased accountability and transparency in AI systems. This transition suggests a growing importance of auditability, cultural and contextual reasoning, and nuanced decision-making in global deployments.

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What Happened

Stanford CodeX Reveals Next Era Of Intelligence

Stanford Law School’s CodeX FutureLaw conference recently explored the next era of intelligence, revealing that AI is becoming infrastructure, not software. The conference brought together global leaders to examine the future of legal informatics and the principles that will define the next decade of digital law. As AI becomes integral to legal systems, public services, and economic life, it requires shared governance structures and accountability, according to the conference. This article was originally published on Forbes.com, as reported by Yahoo News Canada.

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