Strategic Snapshots.
One page. One event. Each Snapshot explains an AI development, what happened, what went wrong or right, and the lessons your team can act on now.
Request a Custom SnapshotEvidence First. Jargon Never.
Most industry analysis assumes readers already know the field. Strategic Snapshots are for founders, managers, and team leads who need to make decisions. Each one uses primary sources, takes one sitting to read, and ends with what your business can do differently.
What Happened
A clear account of the event, decision, or trend, before the interpretation begins.
What Went Wrong (or Right)
The decisions that drove the outcome, the assumptions that failed, and the factors most businesses overlook.
What You Should Do
Concrete conclusions for an SMB, built around the constraints your team actually has.
Published Snapshots.
New snapshots are added as significant events warrant analysis. If there’s a development you’d like us to cover, get in touch, we're always happy to have a look.
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.
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.
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.
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.
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.
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.
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.
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.
The Klarna Cautionary Tale
What Happens When AI Replaces Instead of Helps, and what your business can learn from it before making the same mistake.
Scaling Voice, Not Just Volume
How SMBs can scale content for SEO and discovery without succumbing to generic AI sludge that dilutes brand identity.
Evidence Drives Every Engagement.
The research we publish informs how we approach workflow design, governance, and content strategy with every client. Book a consultation to discuss how these findings apply to your situation.
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