Alphabet’s GOOGL slips as analyst flags a next-generation AI chip project

Alphabet’s Google unit faced a cautious mood in premarket trading after a report tied to analyst Ming-Chi Kuo pointed to potential upgrades in the company’s next-generation AI hardware. The comments suggested Google is developing a follow-on to its “Triggerfish” AI chip, with attention on memory capacity and the type of high-bandwidth memory the design could use.

According to the report, the next “Triggerfish” iteration would include what Kuo characterized as a substantial memory upgrade. The analyst said the chip would support next-generation HBM4E memory, a newer generation of high-bandwidth memory used in AI accelerators to move large volumes of data quickly between memory and compute units.

The same analysis also indicated the memory and architecture changes are intended to keep more active workloads on the chip, rather than relying as heavily on off-chip memory access. In practical terms, the goal would be to improve how efficiently AI systems handle larger batches or longer-running computations where data movement can otherwise become a bottleneck.

Kuo’s view, as reported, also tied the AI chip development to MediaTek, implying Google’s hardware roadmap includes collaboration or supply involvement beyond Google’s own internal silicon teams. The report did not provide additional detail on the nature of the relationship or the specific roles each company would play in the design, manufacturing, or packaging stages.

The market reaction reflected the reality that hardware roadmaps often arrive with timing uncertainty. While memory upgrades and changes in on-chip workload handling can matter for AI performance and efficiency, investors generally need more concrete information such as product release dates, customer availability, and measurable improvements in system-level benchmarks.

Alphabet, through Google, has increasingly emphasized specialized AI infrastructure as it expands model capabilities and deploys those systems across products and cloud services. Still, details on any specific chip generation, including “Triggerfish,” were not laid out in the reported comments beyond the memory technology and general architecture direction.

The report did not disclose financial implications, expected production volumes, or where the chip would appear first, such as internal training clusters versus cloud AI offerings. It also did not provide confirmation from Alphabet or MediaTek in the material described, meaning the claims should be treated as an analyst’s forecast rather than an official specification or announcement.

Looking ahead, investors may focus on whether Alphabet provides clearer guidance on future AI hardware performance, and whether subsequent industry reporting or company statements corroborate the memory roadmap and any manufacturing or partner details referenced by Kuo. Additional color on system-level throughput, power efficiency, and availability would likely drive follow-through on the stock reaction.