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Research & Writing

From the Lab

Mar 18, 2026
Research

Agentic Architectures and the Restructuring of Software Engineering Labor

An analysis of how autonomous code-generation agents are compressing multi-month development cycles into days, and what the structural implications are for the software engineering profession.

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Mar 14, 2026
Research

Context Engineering: Why Most Enterprise AI Deployments Fail Before They Start

Over 80% of enterprise AI initiatives fail before reaching production. The bottleneck is not model capability but context architecture. A technical analysis of the emerging discipline of context engineering.

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Mar 10, 2026
Security

Harvest Now, Decrypt Later: The Post-Quantum Cryptographic Threat to AI Infrastructure

Adversaries are stockpiling encrypted data today, betting that quantum computers will break current encryption within a decade. What this means for organizations running sensitive AI workloads.

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Mar 6, 2026
Infrastructure

Single Points of Failure: Concentration Risk in the Semiconductor Supply Chain

The global chip supply chain depends on a handful of irreplaceable facilities, materials, and monopolies. A technical assessment of concentration risk and its implications for AI compute sovereignty.

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Mar 2, 2026
Infrastructure

The Hardware Bottleneck: Physical Constraints on AI Scaling

AI progress is increasingly constrained not by algorithms but by the physical infrastructure required to run them. An analysis of power, cooling, chip lifespan, and supply chain fragility.

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Feb 26, 2026
Research

Agentic Systems and the Displacement of Enterprise Software

AI agents are not improving enterprise SaaS. They are replacing it. An analysis of the structural threat to per-seat licensing models and the emerging 'service-as-software' paradigm.

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Feb 20, 2026
Research

AI-Driven Labor Displacement and the Consumer Demand Feedback Loop

AI automation increases corporate efficiency but simultaneously reduces consumer purchasing power. An examination of the macroeconomic feedback loop that could constrain AI adoption.

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Feb 14, 2026
Research

Quantum Computing in 2026: Separating Engineering Progress from Cryptographic Threat

Google's Willow processor demonstrated a 13,000x speedup over classical computation. What this actually means for AI infrastructure, and what it does not mean for encryption.

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