Tight capacity in AI chip testing has pushed customers into locking in contracts running one year or longer, while packaging and testing provider Sigurd has raised its prices, TrendForce reports.

The squeeze reflects surging demand for AI accelerators and high-performance computing devices, which require intensive back-end testing before shipment. Testing houses that once worked on short-term, spot-based engagements now face customers willing to commit to capacity a year or more in advance to guarantee their place in the queue.

Why are customers signing long-term testing deals?

Back-end testing has become a bottleneck in the AI chip supply chain. When testing capacity is scarce, chipmakers risk holding finished silicon that cannot ship until it clears quality verification. Long-term commitments solve that problem for buyers: they secure reserved capacity and predictable turnaround, even at higher cost.

For testing providers, the shift converts what was previously variable demand into contracted, forward-loaded utilization. That gives firms such as Sigurd pricing power that was unavailable in earlier market cycles.

What does Sigurd's price increase signal?

Sigurd's decision to hike prices indicates that testing providers now see sustained demand strong enough to pass costs through to customers without losing volume. Price increases in back-end services typically lag front-end foundry pricing moves, so a rise at the testing stage suggests tightness has spread across the full manufacturing chain for AI silicon.

The move also signals that customers accept the higher rates. Faced with the alternative of queued wafers and delayed product launches, AI chip suppliers are choosing cost certainty over spot availability.

Who is affected?

The capacity crunch touches several groups across the semiconductor value chain:

• AI chip designers and accelerators vendors, which need guaranteed testing throughput to hit shipment schedules
• Back-end service providers, including OSAT firms, which gain pricing leverage and longer contract visibility
• System OEMs and data center operators, which may see upstream testing constraints feed into component delivery timelines

What comes next?

TrendForce's reporting points to a market in which testing capacity, not front-end wafer supply, sets the pace for AI chip output. As long as AI demand keeps absorbing available testing slots, the incentives favor providers: longer contracts, higher prices, and fuller utilization.

Customers will likely continue trading price for certainty. The open question is whether testing houses expand capacity to relieve the bottleneck, or whether contract lock-ins and rising prices persist through the current AI demand cycle.