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Industry Research,
Key Insights.

Short briefs now, deeper analysis soon. We publish research on AI changes that affect small businesses.

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Strategic Snapshots.

We examine real AI events and draw out the lessons that apply to your business. See all snapshots

Q3 2026

Sovereign by Default: When US Export Controls Alienate Enterprises

When US policy restricts access to AI models, enterprises do not wait. They migrate. Here is what happens when companies adopt DeepSeek, Mistral, and other foreign open-weight models, and why the right answer is not switching vendors but building a multi-provider stack.

Q2 2026

The Delta Method: Why the Smartest AI-Assisted Teams Send Less, Not More

How sending only what changed rather than full context cuts AI coding costs by up to 90% without quality loss, and where the approach breaks down.

Q2 2026

The GPT Mini Strategy: Token-Efficient Routing Across OpenAI's Model Tiers

OpenAI offers a 6.7× cost lever built into its model lineup. Most teams leave it untouched by defaulting every workload to the flagship. Here’s how to stop.

Q2 2026

The Haiku-Opus Strategy: Token-Efficient Model Routing

Why routing AI tasks by complexity cuts inference costs by up to 85% without sacrificing quality, and how your business can stop overpaying for intelligence it doesn’t need.

Q2 2026

The Iceberg Index: Why AI Exposure Is Five Times Larger Than We Thought

What MIT’s new skills-centered metric reveals about hidden workforce disruption, and where your business is truly at risk.

Q2 2026

The Infrastructure Illusion

73% of enterprises experience AI model degradation within 90 days of a cloud API update. What SMBs need to know about model drift, data ownership, and building AI infrastructure that survives provider changes.

Q1 2026

Reskilling Over Replacing: The IKEA Model

How a global retail leader proved that investing in your people, not replacing them, is the path to sustainable AI-powered growth.

Q1 2026

The True Cost of AI-First Layoffs

New research on why 95% of firms have yet to see a measurable financial return from AI, and the antipatterns driving that failure.

More Research In the Works.

Strategic Snapshots are just the beginning. We are building three deeper research formats for SMBs that need evidence before making a decision.

Case Studies

How Real Businesses Did It

Case Studies go deep on one organization. We document what it tried, what failed, what it kept, and what changed, so you can assess decisions that others have already tested.

Each case study will include a workflow or governance element your business can adapt directly, not just observe.

Trend Analysis

Where the Industry Is Heading

AI tools and practices move fast enough that last quarter’s best practice can become this quarter’s cautionary tale. Trend Analysis explains what is changing and what it means for a business your size, without hype or enterprise-sized assumptions.

We flag what's signal, what's noise, and what requires a decision from you right now.

Impact Analysis

What a Decision Actually Costs

Most businesses adopt or avoid AI based on surface-level estimates. Impact Analysis breaks down what a workflow or technology decision changes over time, including productivity, morale, quality, and total cost of ownership.

These reports are designed to support genuine decision-making, not to sell you a platform or justify a conclusion someone already reached.

Have a situation you'd like us to research? We occasionally take on custom research engagements, and community interest shapes what gets published first.

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