1 min read

Open vs Closed AI Series #6: Open Source as a Distribution Strategy, Not a Moral Position

Openness can be a distribution instrument: companies may open one layer to accelerate adoption, shape interfaces, weaken rival control points, and capture value elsewhere. Buyers should map who benefits, what remains controlled, and whether reduced friction truly lowers dependency.
1 min read

Open vs Closed AI Series #5: The Stack Will Split

No single model of openness will dominate every layer because frontier training, workflow products, and developer tooling reward different strengths. Layer-specific architecture lets teams combine quality, control, cost, and portability, provided ownership and fallback boundaries remain explicit.
1 min read

Open vs Closed AI Series #4: Why Open AI Refuses to Die

Open AI endures because trust, control, customization, sovereignty, and portability can outweigh benchmark leadership. Its ecosystems also sustain price pressure and long-tail innovation, preserving strategic flexibility where concentrated vendor power cannot meet every operating need.
1 min read

Open vs Closed AI Series #3: Why Closed AI Has Real Advantages

Closed providers can coordinate models, safety, tools, reliability, support, and accountability into a stronger product, especially in high-stakes workflows. The strategic decision is whether those gains in cohesion and speed justify dependence on a vendor-controlled improvement loop.
1 min read

Open vs Closed AI Series #2: The Myth of Open AI

Calling an AI system open can conceal major differences in weights, code, data, licensing, hosting, auditability, and portability. Evaluating each layer separately protects buyers from overstated sovereignty and helps builders understand precisely where control and dependency reside.
1 min read

Open vs Closed AI Series #1: Open Source Won Software. AI Is Reopening the Question

Open source won software infrastructure by aligning with cheap distribution and network effects, but AI reopens the question of how value is created.
1 min read

The Chief of Staff Operating Model — Series Index

A chief of staff must turn executive attention, context, decisions, and cross-functional work into a coherent operating system. The sequence moves from role clarity and trust through cadence, AI-enabled leverage, and a practical operating audit.
4 min read

The Chief of Staff Operating Model Series #10: The Chief of Staff Operating Audit

Busyness and trust do not prove a Chief of Staff is improving the company. An operating audit tests executive capacity, context flow, decision hygiene, cadence, boundaries, AI utility, and trust to reveal whether the role strengthens the system or merely absorbs work.

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