With chip orders backed up for three years, where is the demand for .ai domains coming from?

Financial reports and production schedules from domestic AI chipmakers demonstrate a clear trend: computing power remains in short supply. For the domain name industry, this is not merely a spectator’s news story; it is a leading indicator of the continuous emergence of downstream brands.

On August 28, Biren Technology released its interim results for the first half of 2026, revealing impressive figures: revenue reached RMB 1.236 billion—a nearly twentyfold increase (up 1,997.6%) year-over-year—while gross margin rose to 42.7% and losses narrowed by 76.4% to RMB 377 million. This growth was primarily driven by the large-scale delivery of the Biren GPU series and intelligent computing clusters to a client base that includes major internet companies, large-model developers, national-level computing platforms, and telecommunications carriers. Cambricon and Moore Threads also reported significant revenue surges during the same period. The surge in upstream orders is a widespread phenomenon, not just a narrative spun by a single company.

Industry data paints a direct picture: projected demand for domestic AI chips in 2026 stands at approximately 4 million units, with actual deliveries estimated at 3 million—a shortfall in the millions; some companies already have orders booked three years out. The shortage extends beyond chips; there is a scramble for delivery slots across intelligent computing centers, system integration services, and liquid cooling infrastructure. Fundamentally, this gap stems from production capacity failing to keep pace with demand, rather than demand having peaked.

Looking a step deeper: the chip shortage signals continued expansion in AI training and inference. As upstream capacity grows and midstream clusters are built, the downstream ecosystem will continue to spawn new model developers, application companies, and industry solution providers. Every new company and product line ultimately requires a brand name—one that is launch-ready, fundable, and memorable.

This forms the bedrock of demand for ".ai" and related short domain names. Recent market activity has seen sales of domains such as Bot.ai, Amber.ai, of.ai, Orchestra.ai, and School.ai; some category-defining terms fetched seven-figure sums, while evocative words commanded tens of thousands of dollars. With chip production schedules extending into 2028 and 2029, a steady stream of new market entrants will continue to seek names through 2026–2028. This is not a fleeting speculative bubble, but a sustained wave of new business formation driven by the industry's expansion cycle.

For domain industry professionals, this data point serves better as an anchor for gauging the link between "industry momentum" and "brand demand" rather than as a direct benchmark for pricing any specific domain. A more robust line of reasoning is as follows:

Upstream sectors—such as chips, liquid cooling, optical interconnects, and intelligent computing clusters—will spawn a wave of B2B brand names;

Midstream model and platform companies will continue to vie for ".ai" domains that are short, precise, and easy to spell;

Downstream applications will shift naming conventions away from generic "AI" terms toward industry-specific scenarios, action verbs, and evocative imagery.

However, the capacity gap confirms that the sector is still expanding; this does not automatically mean the value of every ".ai" domain will rise. Ultimately, the domains that command a price are those that align directly with a product's narrative. The three-year production backlog for chips simply extends the timeframe for this trend: new companies will continue to emerge, and the demand for quality names will rest on an increasingly solid—rather than speculative—foundation.