How AI is changing markets, work, and what gets built.
Long-form analysis from the people doing the builds — where value is moving in the AI market, which trends are real, what production actually demands, and what we think happens next. Opinionated, hedged where it should be, and free of vendor cheerleading.
How AI is redrawing market structure
Model capability is commoditizing faster than almost anyone predicted. That doesn't mean the value disappears — it means it moves. A map of where it is going, and what that implies if you are buying rather than building.
Read the perspective →Agentic AI grows up: from impressive demo to system that holds
Most agent pilots stall in the gap between a demo that works once and a system that works ten thousand times. The difference is almost never the model.
Read the perspective →The quiet shift to small, specialized models
The largest model is rarely the right model. Why serious work is moving down the size curve — and what enterprises gain besides a smaller bill.
Read the perspective →What AI actually changes about work
Not jobs replaced wholesale — tasks redistributed, judgment concentrated, and a set of organizational problems nobody has an org chart for yet.
Read the perspective →Six shifts defining enterprise AI right now
A field note on what has actually changed recently — and which of it matters if your goal is getting systems into production rather than following the discourse.
Read the perspective →The economics of inference: why cost per token became a board-level number
Training costs make the headlines; inference costs decide whether your AI product has a business model. What changes once you actually run at volume.
Read the perspective →Analysis reflects Stryki's view of the market and is offered as perspective, not as investment, legal, or procurement advice.
Bring us a hypothesis. Leave with a system.
Tell us what's eating your team's time. We'll give you an honest read on whether AI is the right tool — and if it is, a scoped v1 with a timeline and cost.