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Every AI-levered field trades above its own historical multiple band
Claim
Nine tech fields swept across three rounds in July 2026. Every AI-levered one showed the same shape: −15% to −60% off highs, but simultaneously +110% to +582% off lows. The 2024–26 melt-up was larger than the 2026 correction, so the correction returned prices to elevated, not to cheap.
The practical consequence: a screen built on drawdown will surface these names and they will all be false positives. In AI-adjacent sectors the drawdown filter has near-zero precision and must be replaced by an own-band filter.
Evidence
| Field | Result |
|---|---|
| Semi test / ATE | 11 of 11 above own band. TER at 76% above its own FY2025 high multiple |
| Optical / photonics | 10 of 13 above own band. LITE at 2.6x its own recent-high P/B |
| Semi materials | Above own EV/EBITDA medians across the group |
| Robotics / machine vision | Quality names at 32–35x earnings |
| Japan AI | Zero discount. Advantest 60x P/E, 28x P/B |
Fields where the pattern did not hold — and where the survivors came from — were the non-AI-levered ones: health tech (DOCS), industrial scanning (ZBRA), China internet (NTES).
What would falsify this
A further leg down that takes a major AI-levered field below its own 5-year median
multiple without a corresponding collapse in the earnings base. That is the condition
this note exists to detect — it converts the whole cohort from avoid to shopping list.
recheck is set accordingly rather than left to drift.
Related
Mechanism: [[principle-down-a-lot-is-not-cheap]]. This note is that principle observed at field scale rather than name scale.
History
- 2026-07-29 — established across three sweep rounds covering nine fields.