Nvidia has posted explosive earnings growth each quarter as enterprises and cloud providers adopt its AI-optimized GPUs for data center workloads. This performance has reinforced its dominance in the AI accelerator market but also highlighted the risk that a slowdown in AI spending could disproportionately hit its top and bottom lines.

Google and Marvell have initiated discussions to co-develop custom AI processors targeting both hyperscale data centers and edge applications. These talks mark a concerted effort to capture share from Nvidia by leveraging proprietary architectures and could introduce new performance and pricing pressures on GPU sales.

Analysts project that Nvidia could reach a $6 trillion market capitalization within the next 12 months, assuming continued acceleration in revenue growth driven by AI deployments. This bullish valuation rests on sustained demand from hyperscalers and corporate AI initiatives, though intensifying competition and concentrated revenue streams pose potential headwinds.