When Nvidia executed its 10-for-1 stock split in June 2024, California was the first place to feel the tremors. In Palo Alto, Cupertino, and Mountain View, portfolio managers and product engineers didn’t just notice—they recalibrated.

The split lowered Nvidia’s price per share to under $100, triggering a surge in retail investor interest statewide. It also made headlines on college campuses, TikTok feeds, and in newsletters circulated within accelerators and incubators.

“It’s not just a stock; it’s the backbone of everything we’re building,” said Lara Nguyen, co-founder of an LLM startup in San Francisco. “From model training to deployment, Nvidia sits at the center of our stack.”

A State That Helped Build the Boom Now Bets on Its Future

California is more than Nvidia’s home—it’s the proving ground for its technology. Tesla’s self-driving AI, Netflix’s recommendation engines, and biotech firms in South San Francisco are all powered by Nvidia’s chips.

According to PitchBook data, over 60% of West Coast AI startups rely on Nvidia hardware or cloud GPU instances. In Los Angeles, VFX studios have upgraded entire rendering pipelines with Nvidia’s RTX enterprise gear.

Meanwhile, at UC Berkeley and Stanford, the research labs that once helped pioneer deep learning now run intensive AI modeling on Nvidia’s H100 and Blackwell chips.

Price Forecasts: A State Divided Between Bulls and Sceptics

As of mid-2025, most Wall Street analysts place Nvidia’s price target between $160 and $180 post-split. The most bullish forecasts touch $210, while the most cautious drop closer to $135—citing slowing margins and rising competition.

But in California, investors often act ahead of consensus.

“In Menlo Park, no one’s waiting for Morgan Stanley to issue a report,” said a tech-focused portfolio manager at a Bay Area venture fund. “The data, the talent, and the infrastructure—it’s all right here. And most of us believe Nvidia is still underpriced relative to its real AI market control.”

The Retail Scene Heats Up in California Suburbs

It’s not just Sand Hill Road. In cities like Irvine, Fresno, and Sacramento, everyday investors are buying into the Nvidia story.

Apps like SoFi and Robinhood—both California-based—report spikes in Nvidia purchases after the split. In suburban community colleges, professors are using Nvidia as a real-time case study for market dynamics and innovation cycles.

“I put my first $500 into Nvidia after watching a breakdown of their Blackwell architecture,” said Alyssa Ramos, a student at Cal Poly. “It finally felt like I understood what I was investing in.”

AI Chips Fueling the Next Generation of California Industry

Across industries, California businesses are integrating Nvidia-powered AI at scale. Agriculture tech firms in Salinas Valley are using computer vision to optimize crop yields. Logistics companies near the Port of Oakland have rolled out Nvidia-backed forecasting systems to minimize downtime.

And in Hollywood, post-production houses have adopted Nvidia’s new neural rendering tools, shaving hours off of effects pipelines. Nvidia is no longer a “tech stock”—it’s an infrastructure stock in California.

Risks Loom, but Innovation Pushes Forward

Even in Nvidia’s home state, not everyone’s bullish. Concerns over China exposure, U.S. export controls, and tech bubble flashbacks keep some investors cautious. Yet for most in California’s fast-moving tech environment, those risks are part of the terrain.

“This isn’t 2000,” said Jon Wu, a serial founder now mentoring at Y Combinator. “Back then it was promises. Now it’s working systems, billion-dollar models, and quantifiable demand. Nvidia just happens to be in the eye of the storm.”