Cohu Positioned for Recovery as AI Chip Complexity Drives Structural Testing Demand

The Quick Take

• Cohu (COHU) semiconductor test and handling equipment demand is showing early recovery signals as leading indicators improve following the prolonged inventory correction
• AI-driven semiconductor complexity — larger die sizes, advanced packaging, and heterogeneous integration — structurally increases test time and equipment intensity required per chip
• Gross margin leverage amplifies the earnings recovery disproportionately relative to revenue growth as utilization rates improve from trough levels

Cohu Incorporated (NASDAQ: COHU) operates in the semiconductor test and handling equipment segment, providing testing handlers, thermal management systems, and test contactors used by chip manufacturers to validate device functionality and quality. The company's business is highly correlated with global semiconductor capital expenditure cycles, making it a leading indicator of broader industry conditions. After absorbing significant demand contraction during the prolonged semiconductor inventory correction period, Cohu's order book is showing early recovery signals consistent with the emerging upturn in front-end equipment bookings reported by wafer equipment peers.

The structural demand thesis for testing equipment is strengthened by the increasing complexity of advanced semiconductors targeted at AI applications. High-performance computing chips, AI accelerators, and advanced memory — particularly HBM for AI training and inference — require substantially more test time per device than commodity logic or standard memory chips. This is a function of larger die sizes, more complex interconnects, and tighter specification tolerances demanded by data center customers who cannot afford field failures in deployed AI infrastructure. This structural increase in test intensity per wafer effectively amplifies demand for Cohu's equipment beyond what a simple cyclical recovery would imply.

The near-term risk involves the timing of major customer spending recovery, which has been choppy due to utilization rate uncertainty at leading-edge foundries. Capital equipment companies typically see bookings recovery lead revenue by two to three quarters, meaning current leading indicators should translate into revenue improvement within the next two to three reporting periods if the trend holds. Investors should monitor gross margin trajectory, which compresses during trough periods as fixed costs spread over lower revenue and should expand meaningfully as utilization rates improve — amplifying the earnings recovery disproportionately relative to revenue growth.

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