In my last blog, I discussed how the RAM shortage would affect precision agriculture, as well as AI data centers popping up. According to multiple reports, NVIDIA is slashing Graphics Processing Units (GPUs), or Graphics Cards, by 40%. Now, this sucks for anyone who likes to play video games and build PCs, but this is also problematic for new precision tech and the future.

Let’s break this down "Barney" style. GPUs rapidly process images, videos and complex visual data, using parallel processing to multi-task, making it perfect for AI and scientific computing. This would include See & Spray machinery, like the AI-powered John Deere sprayers, to scan the ground in real-time.

This technology, according to Joshua Ladd, marketing manager for spplication at John Deere, allows farmers to save on input costs, improve weed control, boost yields, and increase their sustainability — all in one pass.

GPUs enable the AI functionality in autonomous tractors and robotic weeders for navigation, obstacle detection and precise movement. Some autonomous equipment may utilize multiple GPUs. Now imagine your “new” equipment has outdated GPUs and RAM. A lawnmower with sharp blades malfunctioning potentially leads to many dangerous scenarios.

With RAM and GPU production being scaled back, this opens a big window for AMD, another graphics card manufacturer. They could fill the void and step in, but at least for early 2026, it's forecasted to be a rough time for the RAM and GPU market.

So why is NVIDIA shifting? And to what? The answer is money and AI centers.

A recent article from BattleForgePC frames this scenario perfectly:

“Data center products achieve 75-80% gross margins thanks to limited competition, software lock-in through CUDA, and supply constraints supporting premium pricing. Gaming GPUs earn 60-65% gross margins while facing competition from AMD, price-sensitive consumers, and regular refresh cycles pressuring pricing. From a purely financial perspective, every engineering hour and wafer NVIDIA allocates to gaming represents opportunity cost versus data center products.”

The technology world is ever-shifting, but predictably shifting to AI. While the GPU and RAM shortage will likely affect precision farming tools, there’s the possibility that autonomous and precision tools shift to AI instead of this hardware. But this shift won’t happen overnight, much like this shortage won’t be solved anytime soon.