We deliver end-to-end solutions that ensure balance, mitigate risk, and drive efficiency with unmatched quality, speed, and market intelligence.
We deliver end-to-end solutions that ensure balance, mitigate risk, and drive efficiency with unmatched quality, speed, and market intelligence.
The memory market isn’t behaving the way it used to. Driven by the global buildout of AI infrastructure, demand is no longer cyclical, it’s structural. Companies waiting for a traditional
Straight Answers — No Spin from the desk of Andrea Klein I’ve been in this industry long enough to know when a market is different. This one is. Over the
The Illusion of a Single Bottleneck For the past two years, the global technology conversation has been dominated by a single narrative: compute is the constraint. GPUs are scarce. AI
For months, much of the industry conversation has centered on a familiar question: – Is this another semiconductor cycle? But that debate is now secondary. We have argued consistently that
For most of my career in the electronics supply chain, the semiconductor industry followed a familiar rhythm. Demand would rise. Manufacturers would add capacity. Inventories would build. Eventually, pricing would
A Season of Acceleration Every year, the global electronics supply chain experiences a moment that’s both completely predictable and still surprisingly disruptive: Lunar New Year. It’s a holiday on the
If 2024-2025 felt like a market that couldn’t decide whether it was recovering or resetting, 2026 is delivering the answer: the global hardware economy is being reshaped by AI, and
For more than three decades, the electronics industry has lived inside cycles.Innovation created demand. Capacity followed. Pricing moved. Then things normalized. That pattern no longer holds. What the world is
Why this matters now Forecasting has always been an imperfect discipline. Even in stable markets, it is an exercise in inference: translating incomplete signals into decisions that carry real cost.
Why This Matters Now Artificial intelligence has crossed an important threshold. It is no longer a contained initiative within a data science group or an experimental capability confined to a
