Strategic Snapshots.
One page. One event. The strategic intelligence that actually matters for your business. Each Snapshot distills a real-world AI industry development—how it happened, what went wrong or right, and the three to five lessons your team can act on now.
Request a Custom SnapshotEvidence First. Jargon Never.
Most industry analysis is written for people who already understand the landscape. Strategic Snapshots are written for operators—founders, managers, and team leads who need to make decisions, not absorb theory. Each one is grounded in primary sources, sized for a single read, and structured around what your business should do differently as a result.
What Happened
A clear account of the event, decision, or trend under analysis—without editorializing before the evidence is in place.
What Went Wrong (or Right)
The mechanics behind the outcome—the decisions that drove it, the assumptions that failed, and the factors most businesses overlook.
What You Should Do
Concrete, actionable conclusions sized for an SMB. Not enterprise playbooks retrofitted for smaller teams—guidance built for your actual constraints.
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.
The Infrastructure Illusion: Why Your Cloud AI Isn’t as Stable as You Think
73% of enterprises experience AI model degradation within 90 days of a cloud API update. What SMBs need to know about drift, data ownership, and building workflows that survive provider changes.
The Iceberg Index: Why AI Exposure Is Five Times Larger Than We Think
What MIT’s new skills-centered metric reveals about hidden workforce disruption, and why the businesses that look safest on paper are often the most exposed.
The Klarna Cautionary Tale: What Happens When AI Replaces Instead of Helps
How Klarna replaced 700 customer service staff with AI, watched CSAT collapse, and scrambled to rehire—and the three lessons every SMB should take from it.
Reskilling Over Replacing: The IKEA Model for Human-Centric AI
How IKEA used AI to handle 47% of customer service inquiries, reskilled 8,500 staff into design advisors, and generated $1.4B in new revenue—without a single layoff.
The True Cost of AI-First Layoffs: Why $1.27 Is Spent for Every $1 Saved
New research on why 95% of firms have yet to see a measurable financial return from AI, and the four antipatterns driving that failure.
Scaling Voice, Not Just Volume: The Human-Led Content Pipeline
How SMBs can scale content for SEO and discovery without succumbing to generic AI sludge that dilutes brand identity, and the three-step process that gets results.
Evidence Drives Every Engagement.
The research we publish isn’t a marketing exercise—it directly informs how we approach workflow design, governance, and content strategy with every client. Book a consultation to see how these findings apply to your specific situation.
Book a Consultation