Variability’s role in fab strategies, tactics, and die yield

November 10, 2026

Wafer Economics and Supplier Cost Pressure

Everyone knows that running a semiconductor company means maximizing revenue-per-wafer while minimizing cost-per-wafer to achieve higher gross margins. Simple as that. Most executives in a chip company talk up cost-per-wafer because it is somewhat fixed in the short term and can be lowered in the long term by simplifying process and pressure-cooking suppliers on price. Getting wafer costs down is like making a morning espresso: make a fine grind of suppliers, tamp them into a portafilter. And then infuse hot water through them at 6-to-8 bar (depending on the supplier), to get the lowest input costs. In procurement terms, it’s called PICOS 1.

While it’s as easy as that, it’s often somewhat futile… Suppliers focus on helping their most profitable customers, thereby shifting competitive advantage. At the same time, PICOS practices ran down what was once a diversity of suppliers to the monopolies and oligopolies that are out there today. It wasn’t all PICOS…

Revenue-per-Wafer, Yield, and Variability

Revenue-per-wafer is far more difficult because it’s a function of die yield and chip prices. For the latter, the table seating is turned on the chip maker, for they are the supplier being espresso’ed… Increasing die yields has always been an important factor in running a semiconductor company… Variability became a critical source of yield loss at it’s primarily a result of… Variability became a particular problem in foundries with the rise of the smartphone.

One of the reasons behind TSMC’s rise was its tight control of variability that became a real competitive advantage. You can solve for variability… Here, I’m showing a curve for a full-field AI chip that has been seen over time.

How Variability Improvements Made AI Affordable

Here I’ve pulled some old data from the late-70s of a CPU that had fewer than 100 steps with yields below that half-way mark typical of the times: Over six decades, variability has improved by 113 times. Had the engineers at fabs and suppliers not made these improvements… 2026’s investment in AI infrastructure would amount to an unimaginable 1.3E+79 trillion dollars. In other words, AI would be impossibly unaffordable had variability not been brought under control.

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G. Dan Hutcheson: Vice Chair, Senior Research Fellow

Dan is Vice Chair of TechInsights Inc. He is a recognized authority on the semiconductor industry, winning SEMI’s Sales and Marketing Excellence Award in 2012 for “empowering executives with tremendous strategic and tactical marketing value" through his e-letter, The Chip Insider®; his book Maxims of Hi-Tech, and his many interviews of executives.