TLDR
- Nvidia stock declined 1.12% as geopolitical tensions and trade worries create resistance to new record highs
- AI chip startup Snowcap Compute raised $23 million to develop superconducting technology that could challenge Nvidia
- Snowcap claims its chips will be 25 times more efficient than current AI chips when accounting for performance per watt
- Former Intel CEO Pat Gelsinger joined Snowcap’s board as the company targets 2026 for its first basic chip
- Meta is offering $100 million packages to recruit AI talent, showing continued investment in technology requiring Nvidia hardware
Nvidia shares dropped 1.12% as the AI chip leader confronts headwinds from multiple directions. The stock slipped to $143.13 in premarket trading despite continued strong demand for artificial intelligence infrastructure.

The decline comes as geopolitical tensions and trade uncertainty create resistance for highly valued technology stocks. Nvidia remains below its January record high of $149.43, even after surging from April lows under $100.
Investors appear hesitant to push the company’s $3.51 trillion market value higher. Concerns about Middle East conflicts and potential tariff negotiations are weighing on sentiment.
The semiconductor sector has so far avoided direct tariff impacts. The White House exempted chips, manufacturing equipment, PCs, and smartphones from planned levies.
However, potential chip tariffs remain under investigation by the Commerce Department. Section 232 of the Trade Expansion Act allows the president to impose duties on imports deemed national security threats.
Competition Emerges in AI Chip Space
A new challenger entered the arena as Snowcap Compute raised $23 million in funding. The startup promises to “change the computing industry forever” with superconducting AI chips.
Snowcap’s technology could deliver 25 times better performance per watt than current chips. The company plans to release its first basic chip by the end of 2026.
The startup’s founding team includes scientists Anna Herr and Quentin Herr. Both worked extensively on superconducting chips at research firm Imed and defense contractor Northrop Grumman.
Former Nvidia and Google chip executives also joined the team. Pat Gelsinger, Intel’s former CEO, agreed to join Snowcap’s board of directors.
Snowcap’s chips require cryogenic cooling systems that consume electricity. However, CEO Michael Lafferty argues this makes sense given current power constraints at data centers.
“Power efficiency is nice, but performance sells,” Lafferty said. “We’re pushing the performance level way up and pulling the power down at the same time.”
AI Investment Continues Despite Uncertainty
Major tech companies keep pouring money into artificial intelligence development. Meta Platforms is offering $100 million compensation packages to recruit top AI talent.
These massive investments will likely benefit Nvidia’s hardware sales. Meta’s next flagship AI model will probably train on Nvidia chips.
The continued AI spending shows underlying demand remains strong. Data centers face increasing power limitations as AI workloads grow.
Gelsinger noted that “a lot of data centers today are just being limited by power availability.” This constraint could create opportunities for more efficient chip designs.
Other semiconductor stocks showed mixed performance in premarket trading. Advanced Micro Devices gained 1.1% while Broadcom fell 0.3%.
The broader S&P 500 futures rose 0.2% despite technology sector weakness. Nvidia’s weight in major indexes means its performance affects overall market sentiment.
Snowcap’s chips depend on niobium titanium nitride sourced from Brazil and Canada. The startup can manufacture chips in standard factories but full systems won’t arrive until after 2026.
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